Functional Report SPARKbiom
Microbiome Analysis Overview
Comprehensive Microbiome Functional Overview
Methodological note: This overview reflects PICRUSt2-predicted functional potential inferred from 16S-derived gene content. It describes what the microbiome could do metabolically, not direct metabolite measurements.
1. Clinical Synthesis
This profile is most consistent with moderate dysbiosis, driven mainly by a concentrated imbalance in Choline / TMA / TMAO and Cardiovascular Risk, with additional burden signals in the Microbiome–Mitochondria Axis and a selective methanogenesis pattern. At the same time, the ecosystem retains multiple strong protective features, especially in Carbohydrates & Intestinal Barrier, Oxalates / Stone Risk, Carbohydrate Fermentation & SCFA, and parts of Bile Acids & Estrobolome. The overall balance therefore looks mixed rather than globally impaired: fuel production, fiber handling, barrier support, oxalate protection, and vitamin-factory functions are relatively strong, while TMA buffering/clearance, iron competition/stress signaling, and some selective toxin-pressure axes require attention. Dietary capacity is specialized toward resistant starch, prebiotic fibers, cruciferous substrates, and phytoestrogen-rich foods, with more modest support for lactose and broader dairy processing. Overall, this is a clinically relevant but not collapse-level pattern: there are clear priorities for intervention, alongside substantial preserved strengths that can be used therapeutically.
2. Main Pathological Mechanisms
-
Clearance-deficient TMA metabolism
Clinical: If relevant, this may align with cardiometabolic risk context or a less favorable response to high choline/TMA-generating dietary exposure.
Mechanism: The strongest unfavorable pattern is in Choline / TMA / TMAO and Cardiovascular Risk, where the sink/clearance arm is profoundly reduced:MttB_TMA_Clearance,TMA_Sink_Potential,Clearance_Compensation_Ratio, andTMA_SINK_ACTIVE_FLAGare in P0-P1, while production/amplification metrics such asCutC_TMA_Production,TMAO_Reductase_Recycling,TMA_Production_Risk_Index, andCVD_Risk_Composite_Scoresit in P75-P95.
Solution: WEED + FEED — reduce TMA-generating substrate pressure and support alternative fiber-centered fermentation. -
Iron-competition and ecosystem stress burden
Clinical: If symptoms or labs suggest inflammatory or low-resilience states, this axis deserves correlation.
Mechanism: In the Microbiome–Mitochondria Axis,Fe_Siderophore_potential,Competition_Fe_ratio, andSOS_stress_signalare in P95-P99, whileFe_Ferritin_bufferis only in P5-P25. This suggests a microbiome that retains supportive functions but is operating with increased competitive iron capture and elevated stress signaling.
Solution: WEED + FEED — lower inflammatory/competitive pressure and reinforce cooperative, fiber-fed metabolism. -
Selective methanogenic orientation with weak methylotrophic support
Clinical: If constipation-predominant symptoms or slower transit are present, this axis may be relevant.
Mechanism: In Methanogenesis, terminal/composite markers such asTotal_Methanogenesis_Potential,Methane_Production_Index, andIBS_C_Risk_Scoreare in P75-P95, while methylotrophic-support metrics includingMtaABC_Complete_Pathway,Methylotroph_Potential, andTMA_Clearance_via_Methylotrophsare in P0-P1. This is a structurally uneven methane-oriented pattern rather than a uniformly amplified one.
Solution: FEED + monitor — support transit-friendly fermentation and correlate clinically before escalating. -
Mildly elevated proinflammatory surface/biofilm tendency
Clinical: Usually a context signal rather than a standalone problem at this intensity, but worth watching if there are recurrent inflammatory or urinary symptoms.
Mechanism: In Proinflammatory LPS and Biofilm, multiple warning metrics cluster in P75-P95, includingTLR4_High_LPS_Index,Biofilm_Formation_Index,Adhesion_Potential_Index, andGram_Negative_Pathogenic_Potential. These are not extreme, but they form a coherent mild upward pattern.
Solution: WEED + FEED — reduce persistence-favoring ecology and maintain strong saccharolytic competition. -
Protein/nitrogen metabolism with mild ammonia and biogenic amine tilt
Clinical: This is not a dominant pathology here, but may matter if there is sensitivity to high-protein load, ammonia-related symptoms, or tyramine context.
Mechanism: In Protein and Nitrogen Metabolism, the urease/ammonia cluster and related composites are in P75-P95, includingUrease_Total_ActivityandARI_Ammonia_Risk, while protective metrics such asUTPI_Uremic_Toxin_ProductionandBAI_Histamineare favorably low. This reads as a mild upward shift, not a dominant toxic-protein-fermentation state.
Solution: DIET + FEED — maintain fiber buffering and avoid disproportionate protein excess if clinically relevant.
3. Bacterial Profile: Who's in Charge?
Key Cross-Axis Organisms
- Escherichia coli — the most influential cross-basket organism in this profile. It appears across 12 axes and contributes to both supportive and burden signals. In this patient it behaves as an ambivalent high-impact organism: it participates in fermentation, vitamin, and oxalate-protection functions, but also contributes to TMA/TMAO recycling, LPS/biofilm traits, iron competition, and several protein-nitrogen warning signals.
- Blautia wexlerae — another dominant cross-axis actor with broad metabolic reach. It supports resistant starch handling, fermentation throughput, vitamin-related functions, and several favorable fiber/barrier patterns, but also appears in TMA-related, sulfur-composite, and iron-competition burden signals. This is best classified as ambivalent but metabolically central.
- Faecalibacterium prausnitzii — a likely confirmed ally in this profile. It is strongly represented across fermentation, barrier, vitamin, dietary-capacity, and antioxidant-support axes, aligning with the preserved strengths in Carbohydrate Fermentation & SCFA, Carbohydrates & Intestinal Barrier, and B-Vitamins.
Organisms to Monitor
- Obesumbacterium proteus and Hafnia alvei recur across TMA, oxalate, psychobiotic, protein, and inflammatory-surface axes. In this profile they appear more as context-dependent amplifiers than simple allies.
- Blautia sp. also spans many axes and likely reflects a broad functional contributor rather than a single-direction signal.
Interpretive Summary
The bacterial picture is not one of a single saboteur. Instead, this is a mixed ecosystem dominated by a few highly connected organisms that contribute to both resilience and burden depending on the pathway. The most therapeutically useful strategy is therefore not simple eradication, but ecological steering: favor the fiber-fed, barrier-supportive, SCFA-oriented functions while reducing the conditions that reward TMA generation, iron competition, and inflammatory surface behavior.
4. Modulation Strategy
| STEP | GOAL | TAXON / SUBSTRATE | INTERVENTION |
|---|---|---|---|
| WEED | Reduce TMA burden | TMA-producing / TMA-recycling pathways | Moderate excess intake of high-choline processed foods and avoid stacking multiple TMA-driving foods in the same meal pattern; prioritize plant-forward meal structure. |
| WEED | Reduce inflammatory persistence traits | LPS / biofilm / adhesion pattern | Reduce ultra-processed foods, excess alcohol if relevant, and low-fiber eating patterns that favor persistence-oriented ecology. |
| SEED | Reinforce cooperative fermentation | SCFA-supportive commensal ecology | Use food-first seeding with fermented foods if tolerated; consider targeted probiotic support only if clinically appropriate and symptom-led. |
| SEED | Support barrier-friendly allies | Fiber-preferring, mucin-sparing ecosystem | Preserve diversity of tolerated plant fibers rather than using narrow elimination unless clinically necessary. |
| FEED | Exploit strongest dietary fit | Resistant starch | Emphasize cooked-and-cooled potatoes, cooked-and-cooled rice, green or just-ripe bananas, legumes, and raw oats, consistent with the specialized dietary-capacity profile. |
| FEED | Support prebiotic fermentation | Prebiotic fibers | Use garlic, onion, leek, asparagus, chicory root, Jerusalem artichoke, and similar substrates according to tolerance. |
| FEED | Leverage plant-bioactive capacity | Cruciferous and phytoestrogen-rich foods | Regularly include broccoli-family vegetables, flaxseed, sesame, soy foods, tempeh, edamame, and miso if tolerated. |
| FEED | Format weaker dietary area more gently | Lactose / dairy | Prefer kefir, yoghurt, hard cheeses, lactose-free dairy, or plant alternatives over large fresh-milk exposures. |
5. Recommended Diagnostic Verification
- Plasma or urine TMAO — best fit to verify whether the predicted TMA/TMAO imbalance translates into measurable host exposure.
- Standard cardiometabolic panel — lipid profile, fasting glucose/insulin context, and hsCRP if clinically relevant, given the TMA/cardiovascular-risk pattern.
- Iron studies — ferritin, transferrin saturation, CBC, and iron panel if clinically indicated, because the microbiome–mitochondria axis shows strong iron-competition pressure.
- Methane breath testing — optional if constipation, slow transit, or IBS-C-type symptoms are present.
- 24-hour urinary oxalate / stone-risk chemistry — optional mainly if there is stone history; the microbiome pattern is protective, so this is confirmatory rather than urgent.
6. Patient Summary
Your microbiome shows a mixed but still resilient profile: there are a few clinically relevant imbalance areas, but also several strong protective functions. Your clearest strengths are excellent fiber and resistant-starch handling, strong barrier-supportive and mucin-sparing patterns, and very favorable oxalate-protection capacity. Your microbiome also appears best suited to a plant-forward, fiber-rich dietary pattern, especially resistant starch, prebiotic fibers, cruciferous vegetables, and soy-related phytonutrients, while dairy may be better tolerated in cultured or lower-lactose forms. The main next step is targeted ecological modulation: keep feeding the strong fiber-fermentation side while reducing TMA-driving pressure and monitoring cardiometabolic and iron-related context if clinically relevant.
Basket Analysis
Methodological Note
This section reflects PICRUSt2-predicted metabolic potential derived from 16S-based gene content, not direct metabolite measurement. Results are interpreted as percentile bands versus a reference cohort of n=623, so this report describes what the microbiome could do functionally, rather than confirming actual metabolite exposure. In this basket, the pathways are broadly active in the reference cohort, so percentile comparisons are generally directly interpretable.
Executive Summary
- This basket shows OPTIMAL overall functional status, with no extreme outliers in the active percentile-scored metrics.
- The strongest favorable features are ArAT_Transaminase_Benefit in P75-P95, suggesting good routing of tyrosine toward a more energy-oriented, less toxic pathway, and TBBI_Tyrosine_Bifurcation in P75-P95, supporting a favorable balance between beneficial tyrosine handling and phenol/p-cresol/tyramine-producing routes.
- A second reassuring pattern is the low UTPI_Uremic_Toxin_Production in P5-P25, which is favorable for the uremic-toxin ratio, together with BAI_Histamine in P5-P25, indicating relatively restrained histamine-production potential.
- The main mild variation is a high-normal urease/ammonia axis, which is worth contextual note but does not reach an extreme-outlier range in this profile.
Key Deviations (Outside P25-P75)
No extreme outliers identified (no metrics in P0-P5 or P95-P99/P99-P100). The following findings are outside the interquartile range but remain mild, non-clinical variations in this basket.
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- TPL_Phenol_Risk (P75-P95): mildly elevated phenol-production potential from tyrosine.
- Urease_Total_Activity (P75-P95): mildly elevated overall urease capacity, consistent with somewhat greater ammonia-generation potential.
- Urease_ABC_Colocalized (P75-P95): mildly elevated structurally organized urease potential, supporting functional ammonia production.
- Urease_Partial_Complex (P75-P95): mildly elevated partial urease-complex potential, suggesting available activation machinery.
- Urease_Accessory_Pool (P75-P95): mildly elevated accessory urease support, which may facilitate urease maturation.
- BAI_Tyramine (P75-P95): mildly elevated tyramine-production potential.
- BAI_Putrescine (P75-P95): mildly elevated putrescine-production potential within the biogenic amine axis.
- ARI_Ammonia_Risk (P75-P95): mildly elevated composite ammonia-risk potential.
- Urease_Structural_Ratio (P75-P95): high structural colocalization efficiency, contextually consistent with a more organized urease system.
- MAOI_Contraindication_Flag (P75-P95): mild signal for tyramine-related caution within this functional profile.
- Hepatic_Encephalopathy_Risk_Flag (P75-P95): mild elevation of the urease-linked flag, reflecting the same high-normal ammonia axis rather than an extreme signal.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- HAL_Histidase_Benefit (P5-P25): reduced beneficial routing of histidine toward glutamate/energy metabolism.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- BAI_Histamine (P5-P25): low histamine-production potential is favorable.
- UTPI_Uremic_Toxin_Production (P5-P25): a low toxic-to-beneficial tyrosine ratio is favorable and suggests relative containment of uremic-toxin pressure.
- Urease_Completeness_Ratio (P5-P25): a lower proportion of fully completed urease complexes is favorable in the context of ammonia burden.
- BAI_Histamine_Tyramine_Max (P5-P25): the dominant clinically relevant amine signal remains in a favorable low band.
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- ArAT_Transaminase_Benefit (P75-P95): strong beneficial tyrosine transamination capacity supports diversion away from more toxic downstream routes.
- TBBI_Tyrosine_Bifurcation (P75-P95): favorable tyrosine bifurcation suggests the beneficial arm is relatively well preserved versus phenol/p-cresol/tyramine pathways.
Axis Convergence & Cross-Axis Interactions
The tyrosine axis is internally favorable overall: although TPL_Phenol_Risk is in P75-P95, the combination of ArAT_Transaminase_Benefit in P75-P95, TBBI_Tyrosine_Bifurcation in P75-P95, and UTPI_Uremic_Toxin_Production in P5-P25 suggests that beneficial routing still compares well against toxic routing at the systems level. This interpretation is supported by the fact that HpdBCA_pCresol_Total, HpdBCA_pCresol_Functional, and pCresol_Risk_Weighted all remain within IQR.
The urease → ammonia axis shows the clearest mild upward shift, with several urease metrics and ARI_Ammonia_Risk in P75-P95. However, this pattern is moderated by Urease_Full_Complex within IQR and a low Urease_Completeness_Ratio in P5-P25, which suggests that total urease potential is not matched by a disproportionately high share of fully completed complexes.
The biogenic amine axis is mixed rather than dominant: BAI_Tyramine and BAI_Putrescine are mildly elevated, while BAI_Histamine is favorably low and BAI_Total_Weighted remains within IQR. The histidine axis also appears buffered, because HAL_Histidase_Benefit is low but HBI_Histidine_Bifurcation stays within IQR, helped by the low histamine signal.
Composite Index Analysis
The composite picture is broadly balanced. UTPI_Uremic_Toxin_Production (P5-P25) is favorable, indicating that the ratio of phenol/p-cresol pathways to beneficial tyrosine transamination remains relatively contained; this appears to be supported by strong ArAT_Transaminase_Benefit and the absence of elevated p-cresol-weighted metrics.
TBBI_Tyrosine_Bifurcation (P75-P95) is also favorable and coherent with the same axis-level interpretation. In this case, the favorable direction is plausibly supported by high ArAT_Transaminase_Benefit together with only mild, not extreme, elevation of TPL_Phenol_Risk and BAI_Tyramine, while p-cresol metrics remain within IQR.
HBI_Histidine_Bifurcation, Beneficial_Pathways_Total, Detrimental_Pathways_Total, Protein_Metabolism_Balance, and PNTI_Protein_Nitrogen_Toxicity are all within IQR. That pattern argues against a globally shifted protein-fermentation profile and suggests that the mild urease and amine signals are not overwhelming the broader functional balance.
Clinical Picture (Functional Hypothesis)
This profile is most consistent with a balanced protein and nitrogen metabolism pattern with favorable tyrosine handling. The main strengths are ArAT_Transaminase_Benefit in P75-P95 and TBBI_Tyrosine_Bifurcation in P75-P95, which together suggest that tyrosine is relatively well directed toward a less toxic metabolic branch. This is reinforced by UTPI_Uremic_Toxin_Production in P5-P25, indicating a favorable toxic-to-beneficial ratio on the uremic-toxin axis.
The principal mild counterweight is a high-normal urease/ammonia signature, with several urease metrics and ARI_Ammonia_Risk in P75-P95. There is also a mixed biogenic amine pattern, where tyramine and putrescine are somewhat elevated but histamine remains favorably low. Overall, the basket does not suggest a dominant uremic-toxin-driven, ammonia-burdened, or biogenic-amine-dominant state; rather, it suggests a generally well-functioning profile with a few mild pathway skews worth longitudinal observation.
Within Normal Range (P25-P75)
The following metrics are within IQR and support an overall balanced functional profile:
- HpdBCA_pCresol_Total (P25-P50)
- HpdBCA_pCresol_Functional (P25-P50)
- pCresol_Risk_Weighted (P25-P50)
- Urease_Full_Complex (P25-P50)
- BAI_Cadaverine (P50-P75)
- TnaA_Indole_Production (P25-P50)
- GAD_GABA_Production (P50-P75)
- Phenol_pCresol_Combined_Risk (P25-P50)
- BAI_Total_Weighted (P50-P75)
- HBI_Histidine_Bifurcation (P50-P75)
- Beneficial_Pathways_Total (P50-P75)
- Detrimental_Pathways_Total (P50-P75)
- Protein_Metabolism_Balance (P25-P50)
- PNTI_Protein_Nitrogen_Toxicity (P50-P75)
- CKD_CVD_Risk_Flag (P25-P50)
- Histamine_Intolerance_Risk_Flag (P25-P50)
Clinical Correlation Considerations
- Routine monitoring is sufficient given the absence of extreme outliers in this basket.
- If clinically relevant symptoms are present, mild follow-up correlation could focus on ammonia-related burden (for example, bowel-pattern context or liver-related clinical background) because the urease axis is the main high-normal feature.
- If there is a history of MAOI use, tyramine sensitivity, or food-triggered symptoms, the mild elevation in tyramine-related potential may be worth contextual review, even though the overall basket remains balanced.
Interpretation Caveats
- This report reflects predicted functional potential from PICRUSt2, not direct measurement of phenol, p-cresol, ammonia, histamine, tyramine, GABA, or indole.
- Ratio-based indexes such as UTPI_Uremic_Toxin_Production, TBBI_Tyrosine_Bifurcation, and HBI_Histidine_Bifurcation depend on both numerator and denominator, so they should be interpreted together with their component pathways.
- Some metrics in this basket can use display caps in the reporting system; when capped, that indicates a true biological extreme above the clinical display scale, but raw uncapped values are intentionally not shown.
- The reference framework is a cohort of n=623; percentile bands describe relative position within that cohort, not an absolute diagnosis.
- Variation within a percentile band can still be biologically heterogeneous, so band placement is the primary interpretive grid.
- Composite indexes can mask offsetting strengths and liabilities; individual pathway review remains important, especially for the urease and biogenic amine axes.
| Organism | Abundance | ArAT_Transaminase_Benefit | TPL_Phenol_Risk | HpdBCA_pCresol_Total | HpdBCA_pCresol_Functional | pCresol_Risk_Weighted | Urease_Total_Activity | Urease_ABC_Colocalized | Urease_Full_Complex | Urease_Partial_Complex | Urease_Accessory_Pool | BAI_Histamine | BAI_Tyramine | BAI_Cadaverine | BAI_Putrescine | HAL_Histidase_Benefit | TnaA_Indole_Production | GAD_GABA_Production | UTPI_Uremic_Toxin_Production | Phenol_pCresol_Combined_Risk | ARI_Ammonia_Risk | Urease_Completeness_Ratio | Urease_Structural_Ratio | BAI_Total_Weighted | BAI_Histamine_Tyramine_Max | HBI_Histidine_Bifurcation | TBBI_Tyrosine_Bifurcation | Beneficial_Pathways_Total | Detrimental_Pathways_Total | Protein_Metabolism_Balance | PNTI_Protein_Nitrogen_Toxicity | MAOI_Contraindication_Flag | CKD_CVD_Risk_Flag | Hepatic_Encephalopathy_Risk_Flag | Histamine_Intolerance_Risk_Flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P75-P95 | P75-P95 | P25-P50 | P25-P50 | P25-P50 | P75-P95 | P75-P95 | P25-P50 | P75-P95 | P75-P95 | P5-P25 | P75-P95 | P50-P75 | P75-P95 | P5-P25 | P25-P50 | P50-P75 | P5-P25 | P25-P50 | P75-P95 | P5-P25 | P75-P95 | P50-P75 | P5-P25 | P50-P75 | P75-P95 | P50-P75 | P50-P75 | P25-P50 | P50-P75 | P75-P95 | P25-P50 | P75-P95 | P25-P50 | ||
| Blautia wexlerae | 65870.349 | + | + | + | + | + | + | + | + | + | |||||||||||||||||||||||||
| Escherichia coli | 56168.748 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||||
| Blautia sp. | 20840.630 | + | + | + | + | + | + | + | + | + | |||||||||||||||||||||||||
| Obesumbacterium proteus | 19521.602 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||||||
| Hafnia alvei | 17232.519 | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||||||
| Anthropogastromicrobium aceti | 11167.071 | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||||||||
| Fusicatenibacter saccharivorans | 9955.020 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||||
| Faecalibacterium sp. | 4636.329 | + | + | + | + | ||||||||||||||||||||||||||||||
| Lachnospiraceae bacterium | 3011.952 | + | + | + | + | + | + | + | |||||||||||||||||||||||||||
| Phocaeicola vulgatus | 1509.850 | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||||||||
| Parabacteroides sp. | 794.532 | + | + | + | + | + | + | ||||||||||||||||||||||||||||
| Faecalibacterium prausnitzii | 648.442 | + | |||||||||||||||||||||||||||||||||
| Bacteroides uniformis | 623.162 | + | + | + | + | ||||||||||||||||||||||||||||||
| Bacteroides fragilis | 581.618 | + | + | + | + | ||||||||||||||||||||||||||||||
| Clostridium saudiense | 436.214 | + | + | ||||||||||||||||||||||||||||||||
| Salmonella sp. | 381.126 | + | + | + | + | ||||||||||||||||||||||||||||||
| Haemophilus parainfluenzae | 357.280 | + | + | + | + | ||||||||||||||||||||||||||||||
| Parabacteroides distasonis | 355.203 | + | + | + | + | + | |||||||||||||||||||||||||||||
| Agathobaculum butyriciproducens | 145.405 | + | |||||||||||||||||||||||||||||||||
| Parabacteroides sp. dnLKV8 | 112.169 | + | + | + | + | + | |||||||||||||||||||||||||||||
| Shigella sp. | 81.302 | + | |||||||||||||||||||||||||||||||||
| Enterococcus faecalis | 62.316 | + | + | + | |||||||||||||||||||||||||||||||
| Salmonella enterica | 39.155 | + | |||||||||||||||||||||||||||||||||
| Bacteroides clarus | 37.390 | + | |||||||||||||||||||||||||||||||||
| Streptococcus salivarius | 15.579 | + | |||||||||||||||||||||||||||||||||
| Yersinia enterocolitica | 12.899 | + | |||||||||||||||||||||||||||||||||
| Streptococcus vestibularis | 12.463 | + | |||||||||||||||||||||||||||||||||
| Carnobacterium maltaromaticum | 5.235 | + | + | + | |||||||||||||||||||||||||||||||
| Bacteroides sp. S-18 | 1.163 | + | + | + | + | ||||||||||||||||||||||||||||||
| Citrobacter gillenii | 0.499 | + | |||||||||||||||||||||||||||||||||
| Bacteroidaceae bacterium | 0.291 | + |
Basket Analysis
Methodological Note
This report summarizes PICRUSt2-predicted functional potential of the gut microbiome, meaning it estimates what the microbiome could do based on inferred gene content from 16S data, rather than measuring actual neurotransmitter or metabolite concentrations. All findings are interpreted against a reference cohort of n=623 samples, using percentile bands as the primary normalization framework.
Several pathways in this basket are zero-inflated in the reference cohort, so an absent signal for some pathways can represent normal biology rather than deficiency. This is especially relevant for parts of the kynurenine branch and other conditionally detected functions.
Executive Summary
- This basket shows MINOR VARIATION, with a generally balanced neuromodulatory profile and only a small number of extreme findings requiring context rather than alarm.
- Tryptamine_Score is in P0-P1, indicating no detectable tryptamine-producing capacity in this sample; this is usually a neutral finding because this pathway is commonly low or absent in the cohort.
- Kyn_Neurotoxic is in P0-P1, which is a favorable pattern because it indicates no detectable neurotoxic kynurenine branch signal; at the same time, Kyn_Protective is detected and Kyn_Initiation is also present, supporting a more protective than neurotoxic kynurenine configuration.
- Outside the extreme findings, the profile also shows mild high-band support for GABA_Production, GABA_Shunt, and Neuromodulation_Risk, but these remain in the high-normal range rather than an extreme range.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- GABA_Shunt (P75-P95): mildly increased GABA-consuming capacity, suggesting somewhat greater potential to use GABA as a substrate.
- Neuromodulation_Risk (P75-P95): mildly elevated aggregate risk signal, driven mainly by the combination of GABA consumption potential and ammonia-related contribution rather than by a neurotoxic kynurenine branch.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- Tryptamine_Score (P0-P1): no detectable tryptamine-producing capacity; this reduces potential contribution to trace amine signaling and gut motility modulation, but is commonly neutral in this basket.
- Trp_Indole_Fraction (P5-P25): mildly lower indole-favored tryptophan partitioning relative to the cohort, suggesting somewhat less dominance of the indole branch despite preserved indole pathway capacity.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- Kyn_Neurotoxic (P0-P1): no detectable neurotoxic kynurenine branch signal, which is favorable because it avoids microbiome-encoded potential toward quinolinate-associated risk biology.
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- GABA_Production (P75-P95): mildly increased GABA synthesis/export potential, supporting gut-brain signaling capacity.
Axis Convergence & Cross-Axis Interactions
The GABA axis is mixed but overall fairly balanced. GABA_Production and GABA_Shunt are both in P75-P95, while GABA_Net_Balance remains in P25-P50; this suggests that higher synthesis is accompanied by higher consumption, preventing a clear net GABA-favored shift.
The kynurenine state is best described as active-protective / non-neurotoxic: Kyn_Initiation is present, Kyn_Protective is present, and Kyn_Neurotoxic is absent. This is an important contextual pattern because it does not support a neurotoxic kynurenine interpretation.
The tryptophan branch shows preserved indole capacity in the interquartile range, but Trp_Indole_Fraction sits in P5-P25, indicating that the overall partitioning is only modestly indole-favored relative to the cohort. There is no high LPS_IDO1_Induction_Proxy signal here, so there is no functional basis in this basket for an LPS-driven host IDO1 induction hypothesis.
The ammonia/glutamate axis does not show a strong adverse signal: Glutamate_Ammonia_Risk is in P25-P50, so the mild elevation in Neuromodulation_Risk appears more related to aggregate weighting than to a distinct ammonia burden pattern.
Composite Index Analysis
Psychobiotic_Score is in P25-P50, which is compatible with an overall adequate psychobiotic functional profile rather than a strongly enriched one. This fits the broader picture: supportive elements are present, but they are partly offset by parallel GABA consumption and limited tryptamine contribution.
Neuromodulation_Risk is in P75-P95, representing a mild upward shift rather than an extreme risk pattern. Importantly, this composite should be interpreted alongside the individual components: the absence of Kyn_Neurotoxic substantially softens the meaning of this aggregate signal.
Clinical Picture (Functional Hypothesis)
The dominant functional pattern is a generally balanced neuromodulatory profile with selective strengths and a few mild asymmetries. The main supportive feature is high-normal GABA_Production, indicating preserved capacity for microbiome-encoded GABA synthesis/export. However, this is counterbalanced by similarly high-normal GABA_Shunt, so the net GABA picture is not strongly shifted in a favorable direction.
The tryptophan system appears non-neurotoxic and moderately supportive. Indole-related metrics are within the interquartile range, while the kynurenine branch shows a favorable configuration: initiation is detectable, protective capacity is detectable, and the neurotoxic branch is not detected. This argues against a microbiome pattern biased toward neurotoxic kynurenine metabolism.
The very low Tryptamine_Score indicates that this sample is unlikely to contribute meaningfully to tryptamine-mediated signaling. In isolation, that is usually not clinically important, but it does mean one potentially supportive neuromodulatory route is not prominent here.
Overall, this basket is most consistent with adequate gut-brain functional support without a major dysregulation signal, but also without a strongly enriched psychobiotic signature.
Within Normal Range (P25-P75)
The following metrics fall within the interquartile reference range or represent neutral detected states, supporting an overall stable functional background:
- GABA_Net_Balance (P25-P50)
- Indole_AhR (P25-P50)
- Indole_Pathway_Score (P25-P50)
- Kyn_Initiation (present / detected contextually; reported here as P75-P95 in source but functionally binary detection should be interpreted as presence rather than magnitude)
- Kyn_Protective (present / detected contextually; reported here as P75-P95 in source but functionally binary detection should be interpreted as presence rather than magnitude)
- Dopamine_Potential (P0-P1, low but neutral-context marker and not a major driver of this basket)
- Glutamate_Pool (P50-P75)
- Glutamate_Ammonia_Risk (P25-P50)
- Histamine (P5-P25, mild contextual variation)
- LPS_IDO1_Induction_Proxy (P25-P50)
- Psychobiotic_Score (P25-P50)
Clinical Correlation Considerations
- Routine clinical monitoring is sufficient if symptoms are stable; this basket does not show a major functional dysregulation pattern.
- If gut-brain symptoms are present, correlation may be most relevant with stress sensitivity, bowel motility patterns, and symptom fluctuation, given the combination of preserved GABA potential but absent tryptamine signal.
- If there is concern about inflammatory tryptophan diversion, this basket alone does not support that hypothesis strongly; host-side markers such as tryptophan/kynurenine ratio would only be worth considering if there are independent inflammatory clues.
Interpretation Caveats
- This is a report of predicted functional potential, not a direct measurement of GABA, indole, kynurenine metabolites, dopamine, or histamine levels.
- Binary scoring for the KYN pathway means that present and absent reflect detection status, not pathway magnitude.
- Display caps may apply to KYN metrics; if a value is at cap, that indicates a true biological extreme above the clinical display threshold, but the raw value is intentionally not shown.
- Kyn_Balance was deprecated in v5.7 because denominator-zero artifacts made it unreliable; it is not used in the main interpretation.
- The reference framework is based on a cohort of n=623 samples.
- Composite indexes can mask specific pathway details, so individual axis metrics remain more informative than the aggregate score alone.
| Organism | Abundance | GABA_Production | GABA_Shunt | GABA_Net_Balance | Indole_AhR | Indole_Pathway_Score | Tryptamine_Score | Kyn_Initiation | Kyn_Protective | Kyn_Neurotoxic | Kyn_Balance | Trp_Indole_Fraction | Dopamine_Potential | Glutamate_Pool | Glutamate_Ammonia_Risk | Histamine | LPS_IDO1_Induction_Proxy | Psychobiotic_Score | Neuromodulation_Risk |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P75-P95 | P75-P95 | P25-P50 | P25-P50 | P25-P50 | P0-P1 | P75-P95 | P75-P95 | P0-P1 | P99-P100 | P5-P25 | P0-P1 | P50-P75 | P25-P50 | P5-P25 | P25-P50 | P25-P50 | P75-P95 | ||
| Escherichia coli | 62077.865 | + | + | + | + | + | + | + | + | + | + | ||||||||
| Obesumbacterium proteus | 20576.824 | + | + | + | + | + | + | + | + | ||||||||||
| Hafnia alvei | 19743.864 | + | + | + | + | + | + | + | + | ||||||||||
| Blautia wexlerae | 10400.581 | + | + | + | |||||||||||||||
| Faecalibacterium prausnitzii | 8899.819 | + | + | + | |||||||||||||||
| Blautia sp. | 1663.844 | + | + | ||||||||||||||||
| Anthropogastromicrobium aceti | 1595.296 | + | + | + | |||||||||||||||
| Roseburia inulinivorans | 1375.112 | + | |||||||||||||||||
| Faecalibacterium sp. | 1159.082 | + | |||||||||||||||||
| Salmonella enterica | 1013.210 | + | + | + | + | + | |||||||||||||
| Bacteroides uniformis | 747.795 | + | + | + | + | ||||||||||||||
| Agathobaculum butyriciproducens | 581.618 | + | + | + | |||||||||||||||
| Salmonella sp. | 254.084 | + | |||||||||||||||||
| Parabacteroides sp. | 211.875 | + | |||||||||||||||||
| Bacteroides clarus | 112.169 | + | + | ||||||||||||||||
| Bacteroides fragilis | 83.088 | + | |||||||||||||||||
| Phocaeicola vulgatus | 81.614 | + | |||||||||||||||||
| Serratia marcescens | 15.579 | + | |||||||||||||||||
| Serratia oryzae | 2.077 | + | |||||||||||||||||
| Nissabacter archeti | 2.077 | + | + | ||||||||||||||||
| Serratia plymuthica | 0.582 | + | |||||||||||||||||
| Bacteroides sp. S-18 | 0.291 | + | |||||||||||||||||
| Bacteroidaceae bacterium | 0.291 | + |
Basket Analysis
Methodological Note
This report summarizes PICRUSt2-predicted metabolic potential from 16S-derived functional inference, interpreted against a reference cohort of n=623 samples. These findings describe what the microbiome could do functionally based on gene content, not direct stool or serum metabolite measurements.
All interpretations below are based on percentile bands within that cohort. In this basket, the pathways appear broadly active and comparable across the reference population, so percentile-based interpretation is appropriate.
Executive Summary
This basket is OPTIMAL, with a broadly balanced and well-functioning fermentation profile and no extreme outliers in the active percentile-scored metrics.
Two notable strengths are SCFA_Health_Score in P75-P95, suggesting supportive overall short-chain fatty acid balance, and Cross_Feeding_Efficiency in P75-P95, indicating robust acetate-to-butyrate cooperative potential. A further favorable feature is Lactate_to_Butyrate_Conversion in P75-P95, which supports efficient channeling of lactate into butyrate-producing routes rather than simple accumulation.
At the axis level, the pattern is consistent with good cross-feeding support: Total_Acetate_Production is in P75-P95 while Acetate_to_Butyrate_Ratio remains in P50-P75, which fits a balanced substrate supply without evidence of acetate trapping.
Key Deviations (Outside P25-P75)
No extreme outliers identified (no metrics in P0-P5 or P95-P99/P99-P100). The following findings are therefore mild, non-clinical variations outside the interquartile range.
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- Mucin_Foraging_Risk (P75-P95): mild elevation suggests somewhat greater relative use of mucin-linked propionate sourcing; because Propanediol_Pathway_Propionate is also in P75-P95, this is worth contextual note rather than a standalone adverse signal.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- (none)
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- (none)
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- Butyrate_CoA_Transferase_Potential (P75-P95): supportive terminal butyrate-forming capacity through the dominant CoA-transferase route, consistent with efficient acetate-supported butyrate generation.
- Total_Lactate_Production (P75-P95): mildly higher lactate throughput suggests active fermentation; because downstream detoxification and conversion markers are also elevated, this reads as productive turnover rather than accumulation.
- Acrylate_Pathway_Potential (P75-P95): supportive lactate-to-propionate conversion potential, which may help stabilize lactate handling.
- Lut_Pathway_Potential (P75-P95): supportive lactate-to-butyrate routing, consistent with productive reuse of lactate intermediates.
- Lactate_Detoxification_Ratio_Index (P75-P95): favorable detoxification balance; with Total_Lactate_Production in P75-P95 and D_Lactate_Risk_Score in P25-P50, this pattern is balanced rather than accumulation-prone.
- Succinate_Pathway_Propionate (P75-P95): supportive fiber-linked propionate production potential.
- Propanediol_Pathway_Propionate (P75-P95): mildly increased alternative propionate production from fucose/rhamnose-related substrates; this should be interpreted together with the concurrently strong succinate pathway rather than in isolation.
- Propionate_Production_Index (P75-P95): supportive overall propionate-producing capacity.
- Wood_Ljungdahl_Acetogenesis (P75-P95): supportive reductive acetogenesis potential, contributing to acetate availability.
- Total_Acetate_Production (P75-P95): robust acetate supply; with Acetate_to_Butyrate_Ratio in P50-P75, this fits adequate substrate availability without evidence of inefficient accumulation.
- Cross_Feeding_Efficiency (P75-P95): supportive acetate–butyrate cross-feeding potential, driven by elevated CoA-transferase capacity alongside solid acetate production.
- SCFA_Health_Score (P75-P95): favorable composite pattern consistent with supportive SCFA balance across the basket.
- Fermentation_Capacity_Index (P75-P95): robust overall fermentative throughput across SCFA-related pathways.
- Lactate_to_Butyrate_Conversion (P75-P95): supportive routing of lactate toward butyrate synthesis, aligning with the elevated Lut pathway.
Axis Convergence & Cross-Axis Interactions
The butyrate axis appears balanced-to-supportive: Butyrate_CoA_Transferase_Potential is in P75-P95, while Butyrate_Kinase_Potential, Butyrate_Core_Pathway, and Butyrate_Production_Index remain within the interquartile range. This suggests preserved butyrate capacity without evidence that the system is relying on a compensatory alternative pathway.
The acetate and cross-feeding axis is favorable. Total_Acetate_Production in P75-P95 together with Acetate_to_Butyrate_Ratio in P50-P75 fits a pattern of adequate acetate production with balanced conversion, rather than an acetate trap.
The lactate axis is also supportive: Total_Lactate_Production, Acrylate_Pathway_Potential, Lut_Pathway_Potential, Lactate_Detoxification_Ratio_Index, and Lactate_to_Butyrate_Conversion are all favorable, while D_Lactate_Risk_Score stays in the interquartile range. That combination is consistent with active lactate turnover and good downstream handling.
On the propionate axis, both Succinate_Pathway_Propionate and Propanediol_Pathway_Propionate are in P75-P95. Because the succinate route is also strong, this does not suggest a simple shift away from fiber-linked fermentation; rather, it indicates broad propionate-producing versatility.
Composite Index Analysis
SCFA_Health_Score in P75-P95 is a clear overall strength and supports the impression of a metabolically supportive SCFA profile. This composite is consistent with the preserved butyrate axis, favorable lactate detoxification balance, and good cross-feeding support.
Fermentation_Capacity_Index in P75-P95 indicates robust overall fermentative potential. In practical terms, the basket does not suggest a low-throughput fermentation pattern.
Mucin_Foraging_Risk in P75-P95 is the one mild cautionary composite signal. However, because Succinate_Pathway_Propionate is also in P75-P95, the pattern is better read as mixed propionate sourcing rather than a clear dominance of mucin-linked metabolism.
Clinical Picture (Functional Hypothesis)
The dominant functional pattern is a balanced fermentation ecosystem with strong SCFA support. The main drivers of that label are SCFA_Health_Score in P75-P95 and Cross_Feeding_Efficiency in P75-P95, supported by favorable lactate reutilization markers.
This profile suggests a microbiome with good potential to generate and interconvert major fermentation products rather than allowing them to accumulate inefficiently. In particular, the combination of elevated Lactate_to_Butyrate_Conversion and elevated Lactate_Detoxification_Ratio_Index supports a lactate-handling-efficient pattern.
The butyrate system appears functionally intact, with a supportive dominant terminal pathway and no sign of upstream-core/terminal mismatch. The acetate side also looks well integrated, because acetate supply is strong while the acetate-to-butyrate balance remains within the interquartile range.
Overall, this is most consistent with a well-buffered, fermentation-competent SCFA profile with only a mild contextual note around mucin-linked propionate contribution.
Within Normal Range (P25-P75)
The remaining metrics sit within the expected interquartile range, supporting an overall balanced functional profile.
- Butyrate_Kinase_Potential (P25-P50): within normal range.
- Butyrate_Core_Pathway (P50-P75): within normal range.
- Butyrate_Production_Index (P50-P75): within normal range.
- L_Lactate_Production (P50-P75): within normal range.
- D_Lactate_Production (P50-P75): within normal range.
- D_Lactate_Risk_Score (P25-P50): within normal range.
- AckA_Pta_Acetate_Production (P50-P75): within normal range.
- Acetate_to_Butyrate_Ratio (P50-P75): within normal range.
- Terminal_vs_Core_Butyrate_Ratio (P50-P75): within normal range.
Clinical Correlation Considerations
- Routine monitoring is sufficient; this basket does not suggest any urgent functional imbalance in carbohydrate fermentation or SCFA potential.
- If clinical context includes bloating or carbohydrate sensitivity, correlation with dietary fiber pattern and, if needed, a direct stool SCFA panel may help confirm whether predicted functional strengths translate into measured metabolite output.
- If there are barrier-related symptoms, the mild elevation in Mucin_Foraging_Risk could be interpreted alongside dietary substrate availability, especially habitual fermentable fiber intake.
Interpretation Caveats
- PICRUSt2 predicts functional potential, not actual metabolite concentrations. A favorable butyrate or propionate pathway signal does not guarantee that stool or serum SCFA levels are proportionally elevated.
- Ratio metrics depend on both numerator and denominator. This is especially relevant for Acetate_to_Butyrate_Ratio, Lactate_Detoxification_Ratio_Index, and Terminal_vs_Core_Butyrate_Ratio.
- Composite indexes can mask internal variation. SCFA_Health_Score and Fermentation_Capacity_Index are useful summaries, but individual pathway metrics remain important for interpretation.
- Reference framework: all percentile bands are relative to a cohort of n=623 samples.
- Variation within a percentile band is expected. Metrics in the same band may still differ numerically, but the band itself is the clinically relevant normalization frame used here.
| Organism | Abundance | Butyrate_CoA_Transferase_Potential | Butyrate_Kinase_Potential | Butyrate_Core_Pathway | Butyrate_Production_Index | L_Lactate_Production | D_Lactate_Production | Total_Lactate_Production | Acrylate_Pathway_Potential | Lut_Pathway_Potential | Lactate_Detoxification_Ratio_Index | D_Lactate_Risk_Score | Succinate_Pathway_Propionate | Propanediol_Pathway_Propionate | Propionate_Production_Index | AckA_Pta_Acetate_Production | Wood_Ljungdahl_Acetogenesis | Total_Acetate_Production | Acetate_to_Butyrate_Ratio | Cross_Feeding_Efficiency | Mucin_Foraging_Risk | SCFA_Health_Score | Fermentation_Capacity_Index | Lactate_to_Butyrate_Conversion | Terminal_vs_Core_Butyrate_Ratio |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P75-P95 | P25-P50 | P50-P75 | P50-P75 | P50-P75 | P50-P75 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P25-P50 | P75-P95 | P75-P95 | P75-P95 | P50-P75 | P75-P95 | P75-P95 | P50-P75 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P50-P75 | ||
| Faecalibacterium prausnitzii | 156667.465 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||
| Escherichia coli | 147850.485 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||
| Blautia wexlerae | 147341.569 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||
| Roseburia inulinivorans | 52373.688 | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||
| Faecalibacterium sp. | 48101.910 | + | + | + | + | + | + | + | + | ||||||||||||||||
| Blautia sp. | 25888.246 | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||
| Roseburia faecis | 9553.080 | + | + | + | |||||||||||||||||||||
| Obesumbacterium proteus | 5539.914 | + | + | + | + | + | |||||||||||||||||||
| Ruminococcus bromii | 3256.024 | + | + | + | |||||||||||||||||||||
| Hafnia alvei | 2280.775 | + | + | + | |||||||||||||||||||||
| Anthropogastromicrobium aceti | 2127.061 | + | + | ||||||||||||||||||||||
| Lachnospiraceae bacterium MC_36 | 2112.521 | + | + | + | |||||||||||||||||||||
| Anaerobutyricum hallii | 1102.998 | + | + | + | |||||||||||||||||||||
| Fusicatenibacter saccharivorans | 884.891 | + | |||||||||||||||||||||||
| Blautia faecis | 754.027 | + | |||||||||||||||||||||||
| Lachnospiraceae bacterium | 423.750 | + | |||||||||||||||||||||||
| Anaerostipes hadrus | 332.353 | + | |||||||||||||||||||||||
| Gallintestinimicrobium propionicum | 282.500 | + | |||||||||||||||||||||||
| Bacteroides uniformis | 249.265 | + | |||||||||||||||||||||||
| Blautia obeum | 147.482 | + | |||||||||||||||||||||||
| Agathobaculum butyriciproducens | 145.405 | + | |||||||||||||||||||||||
| Salmonella enterica | 100.101 | + | + | ||||||||||||||||||||||
| Salmonella sp. | 50.995 | + | |||||||||||||||||||||||
| Shigella sp. | 40.651 | + | |||||||||||||||||||||||
| Escherichia fergusonii | 14.083 | + | |||||||||||||||||||||||
| Shigella sp. 86.4 | 12.463 | + | |||||||||||||||||||||||
| Klebsiella sp. mixed culture J2-8 | 11.279 | + |
Basket Analysis
Methodological Note
This report summarizes PICRUSt2-predicted functional potential, meaning it estimates what the microbiome could do based on inferred gene content from 16S-derived profiles, rather than measuring actual LPS, curli, amyloid, or biofilm activity directly. Results are interpreted against a reference cohort of n=623 samples, using percentile bands as the primary normalization framework.
In this basket, interpretation is based on percentile position within the cohort and applies only to the functional domains covered here: LPS/lipid A structure, curli/amyloid potential, and biofilm/adhesion/UTI-related traits.
Executive Summary
- This basket shows an OPTIMAL overall status: there are no unfavorable extreme outliers, although several metrics sit in P75-P95 and one balance metric is in P5-P25, which represents mild variation rather than a major imbalance.
- The most favorable finding is Immune_Evasion_vs_Activation_Ratio in P5-P25, which suggests a relatively activation-leaning rather than stealth-dominant balance on the LPS immune-signaling axis.
- A second favorable feature is the absence of any high-extreme signal in the major composite warning indices: despite several being in P75-P95, none reach the extreme bands that would indicate a clearly dysregulated proinflammatory, amyloid, biofilm, or uropathogenic-trait pattern.
- Overall, this profile is best read as a broadly controlled functional state with mild upward clustering across several warning metrics, but without the degree of deviation that would shift the basket out of the optimal category.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- TLR4_High_LPS_Index (P75-P95): mildly elevated relative positioning suggests somewhat higher potential for strongly immunogenic, TLR4-activating LPS signaling, but still not an extreme outlier.
- Stealth_LPS_Index (P75-P95): mildly higher stealth-type lipid A modification potential is present, which is contextual rather than a standalone adverse finding.
- LPS_Immunogenic_Balance (P75-P95): mild upward shift indicates a tendency toward a more immunogenic LPS balance rather than a stealth-dominant orientation.
- Curli_Operon_Completeness (P75-P95): mildly increased curli operon completeness suggests somewhat greater structural capacity for curli-associated amyloid formation.
- Curli_Active_Production (P75-P95): mildly increased active curli-production potential suggests somewhat higher capacity for curli fiber assembly.
- Amyloid_Risk_Index (P75-P95): mild upward variation indicates somewhat increased predicted amyloid-forming potential, without reaching an extreme band.
- Biofilm_Formation_Index (P75-P95): mild upward variation suggests somewhat greater overall biofilm-formation potential.
- Adhesion_Potential_Index (P75-P95): mildly increased adhesion-trait potential suggests somewhat greater surface attachment capacity.
- UTI_Risk_Index (P75-P95): mild upward variation suggests somewhat higher uropathogenic-trait potential in functional terms, without implying active infection.
- Pathogenic_E_coli_Markers (P75-P95): mild upward variation in this uropathogenic-trait marker composite suggests somewhat increased pathogenic surface-trait potential; this does not indicate detection of a specific species.
- Proinflammatory_Surface_Score (P75-P95): mildly increased integrated surface-structure inflammatory potential is present, but not in an extreme band.
- Gram_Negative_Pathogenic_Potential (P75-P95): mild upward variation suggests somewhat higher combined gram-negative pathogenic-trait potential, still below extreme-outlier range.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
(none)
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- Immune_Evasion_vs_Activation_Ratio (P5-P25): low-band positioning is favorable here, suggesting the profile is less shifted toward stealth-dominant immune evasion and more weighted toward activation-side balance.
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
(none)
Axis Convergence & Cross-Axis Interactions
- AXIS 1 — LPS burden / gram-negative potential: HIGH=1 (Gram_Negative_Pathogenic_Potential P75-P95), LOW=0; Lipid_A_Biosynthesis_Potential remains in P25-P50. Conclusion: mild upward composite shift without baseline lipid A biosynthesis elevation.
- AXIS 2 — TLR4-High / proinflammatory: HIGH=3 (TLR4_High_LPS_Index P75-P95, LPS_Immunogenic_Balance P75-P95, Proinflammatory_Surface_Score P75-P95), LOW=0; Hexa_Acyl_Total_Potential is in P50-P75. Conclusion: the main directional tendency is a mild immunogenic/proinflammatory tilt, but without extreme convergence.
- AXIS 3 — Stealth / immune evasion: HIGH=1 (Stealth_LPS_Index P75-P95), LOW=1 (Immune_Evasion_vs_Activation_Ratio P5-P25). Conclusion: mixed stealth-axis pattern, with some stealth-capacity signal but no stealth-dominant overall ratio.
- AXIS 4 — Curli / amyloid: HIGH=3 (Curli_Operon_Completeness P75-P95, Curli_Active_Production P75-P95, Amyloid_Risk_Index P75-P95), LOW=0. Conclusion: mild internal convergence toward higher curli/amyloid potential, though still short of extreme dysregulation.
- AXIS 5 — Biofilm / adhesion / UTI: HIGH=4 (Biofilm_Formation_Index P75-P95, Adhesion_Potential_Index P75-P95, UTI_Risk_Index P75-P95, Pathogenic_E_coli_Markers P75-P95), LOW=0. Conclusion: this is the clearest area of mild upward clustering, consistent with somewhat increased surface-attachment and biofilm-related functional potential.
Composite Index Analysis
- TLR4_High_LPS_Index and Proinflammatory_Surface_Score are both in P75-P95, which supports a mild upward shift in predicted inflammatory surface signaling.
- LPS_Immunogenic_Balance in P75-P95 suggests the LPS profile leans more immunogenic than stealth-weighted at the balance level.
- Biofilm_Formation_Index, Adhesion_Potential_Index, and UTI_Risk_Index all sit in P75-P95, indicating coherent but still mild elevation across the biofilm/attachment/urodynamic trait composites.
- Pathogenic_E_coli_Markers is also in P75-P95; this should be read strictly as a uropathogenic-trait composite signal, not as evidence of species detection.
- Immune_Evasion_vs_Activation_Ratio in P5-P25 partially offsets the higher Stealth_LPS_Index, arguing against a strongly stealth-dominant interpretation.
Clinical Picture (Functional Hypothesis)
- The dominant pattern is a mildly upward-shifted surface-structure profile, spanning immunogenic LPS signaling, curli-related amyloid potential, and biofilm/adhesion traits.
- The most coherent clustering is in the biofilm/adhesion/UTI axis, where multiple related warning metrics fall in P75-P95, suggesting somewhat increased capacity for persistence-oriented surface behavior.
- The TLR4-high/proinflammatory axis is also mildly shifted upward, but without extreme outliers; functionally, this suggests a tendency rather than a strongly dysregulated inflammatory signature.
- The stealth axis is mixed rather than dominant: Stealth_LPS_Index is mildly high, but Immune_Evasion_vs_Activation_Ratio is low-band, which does not support a clear immune-evasion-heavy profile.
Within Normal Range (P25-P75)
- Lipid_A_Biosynthesis_Potential (P25-P50): within the normal reference range, indicating baseline lipid A biosynthetic capacity is not shifted upward.
- Hexa_Acyl_Total_Potential (P50-P75): within the normal reference range, indicating total hexa-acylation potential remains broadly typical relative to the cohort.
Clinical Correlation Considerations
- This profile does not show extreme dysregulation in the LPS, curli/amyloid, or biofilm-related domains; correlation should therefore be conservative and symptom-led rather than assumption-led.
- If there is relevant clinical context, the mild upward clustering is most logically correlated with surface-structure persistence traits rather than with a sharply inflammatory or stealth-dominant pattern.
Interpretation Caveats
- This is a report of predicted gene potential, not a direct measurement of actual LPS production, lipid A structure, biofilm formation, curli assembly, or amyloid activity.
- No direct measurement of LPS burden, biofilm biomass, curli fibers, or amyloid material is provided here.
- Immune_Evasion_vs_Activation_Ratio has an application display cap of 1000; when capped, it should be interpreted as being at the upper clinical scale. In this sample, no cap-related issue is evident from the provided data.
- Pathogenic_E_coli_Markers is a uropathogenic-trait marker composite; its technical name does not imply detection of a specific species.
- The reference framework is a cohort of n=623 samples; percentile bands reflect relative position within that cohort, not absolute pathology thresholds.
- Variation within and between percentile bands is expected, and no causal inference should be made from this basket alone.
| Organism | Abundance | Lipid_A_Biosynthesis_Potential | Hexa_Acyl_Total_Potential | TLR4_High_LPS_Index | Stealth_LPS_Index | LPS_Immunogenic_Balance | Curli_Operon_Completeness | Curli_Active_Production | Amyloid_Risk_Index | Biofilm_Formation_Index | Adhesion_Potential_Index | UTI_Risk_Index | Pathogenic_E_coli_Markers | Proinflammatory_Surface_Score | Gram_Negative_Pathogenic_Potential | Immune_Evasion_vs_Activation_Ratio |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P25-P50 | P50-P75 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P5-P25 | ||
| Escherichia coli | 76815.158 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + |
| Obesumbacterium proteus | 29282.404 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |
| Hafnia alvei | 27992.457 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |
| Faecalibacterium prausnitzii | 6954.493 | + | + | + | + | + | ||||||||||
| Salmonella sp. | 3526.321 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |
| Shigella sp. | 385.592 | + | + | + | + | |||||||||||
| Bacteroides uniformis | 311.581 | + | ||||||||||||||
| Haemophilus parainfluenzae | 267.960 | + | + | |||||||||||||
| Parabacteroides sp. | 264.844 | + | ||||||||||||||
| Salmonella enterica | 182.836 | + | + | + | ||||||||||||
| Escherichia fergusonii | 28.167 | + | ||||||||||||||
| Shigella sp. 86.4 | 24.926 | + |
Basket Analysis
Methodological Note
This report interprets PICRUSt2-predicted metabolic potential, meaning the microbiome’s inferred functional capacity based on 16S-derived gene content rather than direct measurement of TMA, TMAO, choline metabolites, or cardiovascular biomarkers. Results are expressed as percentile bands versus a reference cohort of n=623 samples.
Several pathways in this basket are relatively sparse in the reference cohort, so for some markers an absent signal can be normal biology; however, in this case the main interpretation is driven by the percentile-positioned active pathways and balance indices.
Executive Summary
- Basket status: SIGNIFICANT DYSREGULATION. This basket contains 11 extreme outliers, indicating a functionally important imbalance across TMA production, protective diversion, and clearance/sink capacity.
- Assigned pattern: Multi-Axis Risk Profile with Sink-Deficient and Kennedy-Deficit features. The strongest drivers are MttB_TMA_Clearance in P0-P1, TMA_Sink_Potential in P0-P1, TMA_SINK_ACTIVE_FLAG in P0-P1, and Kennedy protection metrics in P5-P25, indicating weak buffering of TMA once generated.
- On the production side, the profile is not globally extreme, but it is tilted upward: CutC_TMA_Production, TMAO_Reductase_Recycling, TMA_Production_Risk_Index, TMA_Net_Balance, TMAO_Amplification_Risk, and CVD_Risk_Composite_Score are all in P75-P95, which together suggests a production-plus-amplification pattern occurring without adequate compensatory sink activity.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- CutC_TMA_Production (P75-P95): mildly elevated anaerobic choline-to-TMA potential, suggesting greater routing of choline toward TMA generation.
- TMAO_Reductase_Recycling (P75-P95): mildly elevated TMAO-to-TMA recycling potential, which may support recirculation/amplification of the TMA/TMAO pool.
- TMA_Production_Risk_Index (P75-P95): production-to-protection ratio is shifted upward, driven by relatively stronger production pressure than Kennedy buffering.
- TMA_Net_Balance (P75-P95): net balance is production-shifted, consistent with insufficient compensation from sink plus protective diversion.
- TMAO_Amplification_Risk (P75-P95): amplification composite is mildly elevated, mainly reflecting the combination of TMAO recycling with non-low total production.
- CVD_Risk_Composite_Score (P75-P95): composite cardiovascular-metabolic signal is shifted upward, driven by the combined effect of CutC activity, amplification, and weak clearance buffering.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- Kennedy_CCT_Enzyme (P5-P25): lower protective phosphocholine-to-CDP-choline capacity, suggesting weaker anabolic diversion of choline away from TMA formation.
- Kennedy_Pathway_Total (P5-P25): lower overall Kennedy pathway support, indicating reduced choline trapping into phospholipid synthesis.
- MttB_TMA_Clearance (P0-P1): extremely low TMA-specific clearance potential, indicating minimal direct sink activity for TMA removal.
- TMA_Sink_Potential (P0-P1): extremely low overall sink capacity, driven by absent/near-absent clearance components.
- Choline_Bifurcation_Index (P5-P25): bifurcation is shifted away from Kennedy protection and toward TMA-producing routing, driven by low Kennedy_Pathway_Total relative to CutC_TMA_Production.
- Kennedy_Protection_Score (P5-P25): reduced net protective effect of the Kennedy axis relative to CutC pressure.
- Clearance_Compensation_Ratio (P0-P1): clearance does not compensate for production, driven by very low TMA_Sink_Potential against non-low Total_TMA_Production_Potential.
- KENNEDY_PROTECTIVE_FLAG (P5-P25): protective Kennedy-pattern support is weak rather than dominant.
- TMA_SINK_ACTIVE_FLAG (P0-P1): active TMA sink signal is effectively absent, matching the very low MttB_TMA_Clearance result.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
(none)
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- TMA_Clearance_Balance (P75-P95): this balance index sits high because production dominates over clearance; despite the metric name, the driving pattern here is very low sink relative to ongoing production, which is consistent with the broader clearance-deficient picture.
Axis Convergence & Cross-Axis Interactions
The most coherent cross-axis signal is a production-without-compensation pattern. Total production is not in an extreme band, but the system is still pushed toward higher TMA burden because clearance/sink capacity is profoundly weak while several production-related and amplification-related markers sit above the interquartile range.
The anaerobic choline axis appears more relevant than the aerobic carnitine axis here. CutC_TMA_Production is in P75-P95, whereas CntA_Raw_Potential, CntB_Reductase_Component, and CntAB_Functional_System remain in P50-P75. This supports a more choline-responsive than carnitine-dominant orientation.
The Kennedy protection axis does not adequately buffer this. Although Kennedy_Choline_Kinase is in P25-P50, the downstream protective architecture is weaker overall because Kennedy_CCT_Enzyme and Kennedy_Pathway_Total are both in P5-P25. That pattern is consistent with incomplete or underpowered diversion of choline into phospholipid synthesis.
The clearance/sink axis is the clearest vulnerability. MttB_TMA_Clearance, TMA_Sink_Potential, and TMA_SINK_ACTIVE_FLAG are all in P0-P1, and Clearance_Compensation_Ratio is also in P0-P1. Functionally, this suggests that once TMA is generated, the microbiome shows very limited capacity to neutralize or consume it before host conversion pathways become relevant.
The amplification axis adds to this burden. TMAO_Reductase_Recycling and TMAO_Amplification_Risk are both in P75-P95, which may favor recycling of TMAO back into TMA and sustain the broader TMA/TMAO loop.
Flag concordance is partial rather than complete: HIGH_TMA_RISK_FLAG and CARNITINE_TMA_RISK_FLAG are in P50-P75, so the profile is not a maximal production phenotype. Instead, the dominant issue is that moderately elevated production pressure is paired with markedly weak protective and sink mechanisms.
Composite Index Analysis
TMA_Production_Risk_Index (P75-P95) is shifted upward, indicating that production pressure exceeds Kennedy-mediated protection. This direction is supported by CutC_TMA_Production in P75-P95 together with Kennedy_Pathway_Total in P5-P25.
TMA_Net_Balance (P75-P95) is also production-shifted. The main driver is not extreme total production, but rather the denominator side: TMA_Sink_Potential in P0-P1 plus Kennedy_Pathway_Total in P5-P25 provide limited counterweight.
TMAO_Amplification_Risk (P75-P95) is elevated in parallel with TMAO_Reductase_Recycling in P75-P95, indicating that amplification contributes meaningfully to the overall pattern.
Kennedy_Protection_Score (P5-P25) is reduced, consistent with insufficient anabolic diversion of choline relative to CutC-associated pressure.
Clearance_Compensation_Ratio (P0-P1) indicates that sink activity is not compensating for production. This is concordant with MttB_TMA_Clearance in P0-P1 and TMA_Sink_Potential in P0-P1.
CVD_Risk_Composite_Score (P75-P95) is mildly elevated as an integrated signal. Its direction is supported by the combination of CutC_TMA_Production, TMA_Production_Risk_Index, TMAO_Amplification_Risk, and the broader clearance-deficient context.
Clinical Picture (Functional Hypothesis)
This profile is most consistent with a Multi-Axis Risk Profile centered on sink deficiency and reduced Kennedy protection, with a secondary contribution from mildly elevated choline-linked production and TMAO recycling. The microbiome does not show a uniformly extreme production phenotype across all substrates, but it appears poorly equipped to buffer or clear TMA once formed.
The likely dominant source is the anaerobic choline-to-TMA route, because CutC_TMA_Production is above the interquartile range while the carnitine-linked system remains within P50-P75. At the same time, the Kennedy pathway is underpowered, so less choline may be diverted into phospholipid synthesis. This is reinforced by the low Choline_Bifurcation_Index, which points toward a less favorable partitioning of choline.
The most important functional limitation is the near-absent sink axis. With MttB_TMA_Clearance, TMA_Sink_Potential, and TMA_SINK_ACTIVE_FLAG all in P0-P1, there is little evidence of meaningful microbiome-level TMA consumption. In that setting, even moderately increased production pressure can translate into a more unfavorable net balance.
The amplification layer further strengthens this interpretation. Elevated TMAO_Reductase_Recycling and TMAO_Amplification_Risk suggest that recycling dynamics may help sustain the TMA/TMAO pool rather than dampen it.
Overall, this is not a “maximal producer” pattern; it is better described as a poorly buffered TMA metabolism profile, where limited clearance and weak protective diversion allow modest-to-moderately elevated production signals to carry greater functional relevance.
Within Normal Range (P25-P75)
The following markers are within the interquartile range or otherwise neutral/non-applicable, indicating areas without a strong functional signal in this basket:
- CntA_Raw_Potential (P50-P75)
- CntB_Reductase_Component (P50-P75)
- CntAB_Functional_System (P50-P75)
- Betaine_Reductase_TMA (P25-P50)
- Total_TMA_Production_Potential (P50-P75)
- Kennedy_Choline_Kinase (P25-P50)
- Carnitine_Diet_Risk (P50-P75)
- CntAB_Aerobic_TMAO_Index (P50-P75)
- HIGH_TMA_RISK_FLAG (P50-P75)
- CARNITINE_TMA_RISK_FLAG (P50-P75)
- Methylamine_Clearance_Extended: not detected / neutral in isolation for a zero-inflated pathway.
Clinical Correlation Considerations
- Consider correlating this pattern with cardiometabolic context, especially standard lipid markers and, if clinically relevant, inflammatory markers such as hsCRP.
- If there is concern about systemic accumulation, renal context may matter; reduced renal clearance can influence downstream TMAO handling independently of microbiome production.
- A focused dietary review may be useful, particularly around choline-rich foods and overall substrate exposure that could feed the CutC-linked axis.
- Where available, direct TMAO or related metabolite measurement could help confirm whether this predicted functional pattern translates into measurable host exposure.
- Host FMO3 variation remains clinically relevant, because hepatic conversion of TMA to TMAO can differ independently of microbial production potential.
Interpretation Caveats
- This analysis reflects predicted functional potential, not direct measurement of circulating or luminal TMA / TMAO.
- FMO3 host genetics can substantially modulate plasma TMAO independently of microbial TMA production capacity.
- Several B07 metrics use display caps (including CVD_Risk_Composite_Score, MttB_TMA_Clearance, TMA_Sink_Potential, Choline_Bifurcation_Index, TMA_Production_Risk_Index, TMA_Net_Balance, TMA_SINK_ACTIVE_FLAG, Clearance_Compensation_Ratio, and Methylamine_Clearance_Extended). If a value is capped, that indicates a true biological extreme above the display threshold; raw values are intentionally not shown.
- Composite indices should always be interpreted together with their component metrics rather than in isolation.
- The reference framework is a cohort of n=623 samples; interpretation is relative to that population, not an absolute biochemical cutoff.
- Variation within percentile bands is expected, and this report does not imply causality or diagnosis.
- Some pathways in this basket are zero-inflated in the reference population, so absence of a sparse pathway may represent normal biology rather than dysfunction.
| Organism | Abundance | CutC_TMA_Production | CntA_Raw_Potential | CntB_Reductase_Component | CntAB_Functional_System | Betaine_Reductase_TMA | TMAO_Reductase_Recycling | Total_TMA_Production_Potential | Kennedy_Choline_Kinase | Kennedy_CCT_Enzyme | Kennedy_Pathway_Total | MttB_TMA_Clearance | Methylamine_Clearance_Extended | TMA_Sink_Potential | Choline_Bifurcation_Index | TMA_Production_Risk_Index | TMA_Net_Balance | TMAO_Amplification_Risk | Carnitine_Diet_Risk | CntAB_Aerobic_TMAO_Index | TMA_Clearance_Balance | CVD_Risk_Composite_Score | Kennedy_Protection_Score | Clearance_Compensation_Ratio | HIGH_TMA_RISK_FLAG | CARNITINE_TMA_RISK_FLAG | KENNEDY_PROTECTIVE_FLAG | TMA_SINK_ACTIVE_FLAG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P75-P95 | P50-P75 | P50-P75 | P50-P75 | P25-P50 | P75-P95 | P50-P75 | P25-P50 | P5-P25 | P5-P25 | P0-P1 | P0-P1 | P0-P1 | P5-P25 | P75-P95 | P75-P95 | P75-P95 | P50-P75 | P50-P75 | P75-P95 | P75-P95 | P5-P25 | P0-P1 | P50-P75 | P50-P75 | P5-P25 | P0-P1 | ||
| Blautia wexlerae | 58936.628 | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||
| Blautia sp. | 19775.022 | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||
| Escherichia coli | 19302.686 | + | + | + | + | + | + | + | + | + | ||||||||||||||||||
| Roseburia inulinivorans | 12391.585 | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||
| Lachnospiraceae bacterium MC_36 | 7511.185 | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||
| Obesumbacterium proteus | 4220.887 | + | + | |||||||||||||||||||||||||
| Hafnia alvei | 4054.710 | + | + | |||||||||||||||||||||||||
| Lachnospiraceae bacterium | 2841.621 | + | + | + | + | + | + | |||||||||||||||||||||
| Anaerostipes hadrus | 1661.767 | + | + | + | + | + | ||||||||||||||||||||||
| Shigella sp. 86.4 | 211.875 | + | + | + | + | + | + | |||||||||||||||||||||
| Salmonella enterica | 186.523 | + | ||||||||||||||||||||||||||
| Escherichia fergusonii | 145.446 | + | + | + | + | + | + | + | ||||||||||||||||||||
| Bacteroides uniformis | 124.632 | + | + | |||||||||||||||||||||||||
| Sellimonas sp. | 124.632 | + | ||||||||||||||||||||||||||
| Parabacteroides sp. | 105.938 | + | + | |||||||||||||||||||||||||
| Coprococcus comes | 101.783 | + | ||||||||||||||||||||||||||
| Escherichia marmotae | 90.753 | + | + | + | + | + | + | |||||||||||||||||||||
| Bacteroides fragilis | 83.088 | + | + | |||||||||||||||||||||||||
| [Clostridium] nexile | 62.316 | + | ||||||||||||||||||||||||||
| Parabacteroides distasonis | 59.200 | + | + | |||||||||||||||||||||||||
| Bacteroides clarus | 37.390 | + | + | |||||||||||||||||||||||||
| Drancourtella massiliensis | 24.926 | + | ||||||||||||||||||||||||||
| Streptococcus sp. | 15.579 | + | ||||||||||||||||||||||||||
| Enterococcus faecalis | 11.425 | + | ||||||||||||||||||||||||||
| Serratia oryzae | 8.309 | + | + | + | + | |||||||||||||||||||||||
| Streptococcus oralis | 8.309 | + | ||||||||||||||||||||||||||
| Streptococcus parasanguinis | 6.232 | + | ||||||||||||||||||||||||||
| Streptococcus salivarius | 5.193 | + | ||||||||||||||||||||||||||
| Shimwellia blattae | 0.291 | + | ||||||||||||||||||||||||||
| Shigella dysenteriae | 0.145 | + |
Basket Analysis
Methodological Note
This report reflects PICRUSt2-predicted metabolic potential derived from 16S-based gene content, not direct measurement of H₂S or sulfur metabolites. Results are interpreted as percentile bands versus a reference cohort of n=623, so the report describes what this microbiome could be capable of functionally. Several pathways in this basket are zero-inflated in the reference cohort, so an absent signal for those pathways can represent normal biology rather than a deficit.
Executive Summary
- This sulfur-metabolism basket shows SIGNIFICANT DYSREGULATION by outlier count, but the pattern is Mixed rather than uniformly production-heavy.
- A strongly protective feature is the near-complete suppression of core dissimilatory sulfate-reduction machinery: DsrAB_Total_Activity, DsrAB_Functional_Colocalized, DsrA_Subunit_Total, DsrB_Subunit_Total, DsrABC_Full_Module_Potential, and SRB_Full_Pathway_Potential are all in P0-P1, which is consistent with minimal canonical terminal sulfate-to-H₂S reduction capacity.
- At the same time, several upstream sulfate-reduction and composite production markers are shifted upward, including AprAB_Total_Activity, AprAB_Functional_Colocalized, Sat_Potential, SAI_SRB_Activity_Index, H2S_Production_Total, and HPRI_H2S_Production_Risk_Index in P75-P95, while SMB_Sulfur_Metabolism_Balance is in P5-P25, indicating a production-leaning balance despite absent terminal DsrAB output.
- Detoxification is partly buffered but incomplete: SQR_Potential, Detox_Potential_Total, and SDI_Sulfur_Detoxification_Index remain in P50-P75, whereas Sox_System_Potential is not detected, so sulfur oxidation support appears present through SQR but not through the Sox route.
Key Deviations (Outside P25-P75)
(a) WARNING / PRODUCTION / RISK in HIGH band — UNFAVORABLE direction.
- DsrC_Accessory_Potential (P75-P95): elevated accessory electron-transfer support is worth noting, although it is not accompanied here by active colocalized DsrAB terminal machinery.
- AprAB_Total_Activity (P75-P95): increased upstream APS-reduction potential may support sulfate-reduction flow toward sulfite generation.
- AprAB_Functional_Colocalized (P75-P95): higher colocalized AprAB signal suggests a relatively intact upstream APS-reduction module.
- AprAB_Coloc_Ratio (P75-P95): high colocalization ratio supports functional coherence of the AprAB step.
- AprA_Subunit_Total (P75-P95): increased AprA abundance is consistent with stronger upstream sulfate activation/reduction capacity.
- AprB_Subunit_Total (P75-P95): increased AprB abundance further supports the same upstream sulfate-reduction tendency.
- Sat_Potential (P75-P95): elevated sulfate activation capacity suggests readiness to channel sulfate into APS-dependent pathways.
- SAI_SRB_Activity_Index (P75-P95): the composite SRB-oriented activity index is high-normal, indicating upward pressure from sulfate-reduction components despite absent terminal DsrAB output.
- H2S_Production_Total (P75-P95): total modeled H₂S-production potential is shifted upward, driven more by composite weighting of upstream sulfate-reduction and protein-fermentation contribution than by terminal DsrAB completion.
- HPRI_H2S_Production_Risk_Index (P75-P95): the production-to-safe-assimilation risk ratio is high-normal, suggesting relatively greater modeled production pressure versus assimilation buffering.
- SMB_Sulfur_Metabolism_Balance (P5-P25): low sulfur-metabolism balance indicates a production-dominant orientation relative to detoxification/assimilation support.
(b) BENEFICIAL / DETOX in LOW band — REDUCED-SUPPORT direction.
- (none)
(c) WARNING / PRODUCTION / RISK in LOW band — PROTECTIVE / favorable direction.
- DsrAB_Total_Activity (P0-P1): extremely low terminal dissimilatory sulfite-reduction potential is favorable and suggests minimal canonical sulfate-to-H₂S generation.
- DsrAB_Functional_Colocalized (P0-P1): extremely low colocalized active DsrAB signal is favorable and argues against a functionally assembled terminal SRB module.
- DsrA_Subunit_Total (P0-P1): extremely low DsrA support is favorable and consistent with minimal terminal sulfate-reduction machinery.
- DsrB_Subunit_Total (P0-P1): extremely low DsrB support is favorable and consistent with minimal terminal sulfate-reduction machinery.
- DsrABC_Full_Module_Potential (P0-P1): extremely low full-module potential is favorable and argues against a complete DsrABC terminal complex.
- SRB_Full_Pathway_Potential (P0-P1): extremely low full-pathway SRB potential is favorable and suggests little evidence for a complete canonical sulfate-reducing H₂S-production route.
(d) BENEFICIAL / DETOX in HIGH band — STRENGTH / favorable direction.
- Sulfite_Reductase_Total_Activity (P75-P95): higher assimilatory sulfite-reduction capacity suggests a relatively robust safe sulfur-assimilation reserve.
- Sulfite_Reductase_Functional_Colocalized (P75-P95): higher colocalized assimilatory reductase signal supports functional completeness of the safe assimilation route.
- Sulfite_Reductase_Coloc_Ratio (P75-P95): high colocalization ratio supports efficient assembly of the assimilatory sulfite-reduction step.
- CysI_Subunit_Total (P75-P95): increased CysI support is consistent with stronger assimilatory sulfite-reduction capacity.
- CysJ_Subunit_Total (P75-P95): increased CysJ support complements the same safe-assimilation pathway.
- IscS_Tpa_Sulfur_Trafficking_Potential (P75-P95): higher sulfur-trafficking potential suggests preserved sulfur handling and transfer functions rather than free H₂S release.
Axis Convergence & Cross-Axis Interactions
The most important cross-axis feature is the discordance within the sulfate-reduction axis. The terminal DsrAB arm is strongly suppressed, with multiple core DsrAB metrics in P0-P1, yet the upstream activation/reduction steps Sat_Potential and the AprAB family are in P75-P95. Functionally, this suggests that sulfate-processing capacity is present, but the final canonical conversion step to H₂S through the DsrAB route appears poorly supported.
The protein-fermentation H₂S source does not show a parallel upward shift: PFHI_Protein_Fermentation_H2S_Index is in P50-P75, so this basket does not point to a dominant protein-putrefaction H₂S pattern. That makes the elevated production composites more likely to reflect weighting from the upstream sulfate-reduction side rather than broad convergence of both major H₂S-producing routes.
On the detoxification side, SQR_Potential and Detox_Potential_Total are in P50-P75, which is adequate but not unusually strong. Sox_System_Potential is not detected, so the Sox oxidation route is simply unavailable in this sample; given the zero-inflated reference distribution, that is a common cohort pattern and should not be overinterpreted as a defect. The low SMB_Sulfur_Metabolism_Balance indicates that, despite preserved SQR-based buffering and good assimilatory reserve, the overall modeled balance still tilts toward production-side pressure.
Composite Index Analysis
H2S_Production_Total is in P75-P95, indicating elevated modeled production potential. In this sample, that direction appears to be driven mainly by SAI_SRB_Activity_Index in P75-P95, while PFHI_Protein_Fermentation_H2S_Index remains in P50-P75; therefore, the composite is not being pushed by strong protein-fermentation excess.
HPRI_H2S_Production_Risk_Index is also in P75-P95, meaning the production-to-safe-assimilation ratio is shifted upward. This occurs despite SAI_Safe_Sulfur_Assimilation_Index in P50-P75, so the risk signal reflects production pressure outpacing assimilation reserve rather than a collapse of assimilation.
SMB_Sulfur_Metabolism_Balance is in P5-P25, which indicates a less favorable production-versus-protection balance. The main drivers are H2S_Production_Total in P75-P95 against only P50-P75 detox support from Detox_Potential_Total and SDI_Sulfur_Detoxification_Index.
Detox_Potential_Total and SDI_Sulfur_Detoxification_Index remain in P50-P75, so detoxification is present and moderately supportive. Their direction is mainly carried by SQR_Potential in P50-P75, while Sox_System_Potential is not detected and Sox_Coloc_Ratio is not meaningfully supportive here.
Clinical Picture (Functional Hypothesis)
This pattern is most consistent with a Mixed sulfur-metabolism profile. On one side, there is a clearly favorable suppression of the canonical terminal DsrAB-dependent sulfate-to-H₂S route, supported by multiple P0-P1 findings across the DsrAB family and SRB_Full_Pathway_Potential. On the other side, several upstream sulfate-processing markers and production-oriented composites are shifted upward into P75-P95, so the basket does not read as globally quiet.
Functionally, this may indicate a microbiome with active sulfur handling and upstream sulfate activation but limited completion of the classic terminal H₂S-generating SRB module. Because PFHI_Protein_Fermentation_H2S_Index stays within P50-P75, the data do not strongly support excessive protein-fermentation H₂S as the main driver. Detoxification appears adequate but not dominant, with preserved SQR_Potential but no detected Sox_System_Potential. The low SMB_Sulfur_Metabolism_Balance therefore reflects an overall modeled system that leans toward production pressure more than protection, even though one major terminal production route is strongly muted.
In practical functional terms, this is not a simple “high H₂S producer” signature, nor a fully buffered low-production pattern. It is better understood as internally discordant sulfur metabolism: strong protection against one canonical route, but enough upstream and composite activity to keep the overall balance from looking fully controlled.
Within Normal Range (P25-P75)
The following metrics are within the interquartile range or are neutral non-applicable detections/non-detections, indicating preserved baseline sulfur-handling functions.
- CysK_CysM_Cysteine_Synthase_Potential (P25-P50): typical cysteine-synthesis potential.
- PFHI_Protein_Fermentation_H2S_Index (P50-P75): typical-to-upper-normal protein-fermentation H₂S potential.
- Detox_Potential_Total (P50-P75): adequate overall detoxification support.
- SQR_Potential (P50-P75): adequate sulfide oxidation capacity through SQR.
- SAI_Safe_Sulfur_Assimilation_Index (P50-P75): adequate composite safe-assimilation reserve.
- SDI_Sulfur_Detoxification_Index (P50-P75): adequate detoxification relative to modeled production.
- Sox_System_Potential (absent / binary not detected): Sox sulfur-oxidation system not detected; this is a common zero-inflated cohort pattern and is neutral in isolation.
- Sox_Coloc_Ratio: with Sox not detected, Sox colocalization is not interpretable as a meaningful low signal in this sample.
Clinical Correlation Considerations
- Correlate with symptoms that may reflect sulfur handling imbalance, such as bloating, sulfur-sensitive food intolerance, altered stool odor, or postprandial discomfort, while recognizing that this report does not measure actual H₂S.
- If sulfur sensitivity is clinically suspected, dietary context may help interpretation, especially sulfate/sulfur load and animal-protein intake, because the composite production signal is elevated even though terminal DsrAB completion is low.
- If available, consider orthogonal confirmation with a stool H₂S-related assay or sulfur breath testing, particularly when symptoms are disproportionate to standard stool findings.
- The discordance between upstream sulfate-reduction markers and terminal DsrAB suppression is worth following over time rather than interpreting from a single snapshot alone.
- Because detoxification is adequate but not dominant, repeat testing may be useful if symptoms change with diet, bowel habit, or inflammatory context.
Interpretation Caveats
- This analysis reflects predicted functional potential from PICRUSt2, not direct measurement of H₂S concentration, sulfur flux, or enzyme activity in vivo.
- Composite indices such as H2S_Production_Total, HPRI_H2S_Production_Risk_Index, and SMB_Sulfur_Metabolism_Balance should always be interpreted alongside their component metrics, because composite direction can mask internal discordance.
- Sox_System_Potential is a binary metric: detected vs not detected. It should not be interpreted as a graded “very high” or “very low” percentile signal.
- Sox_Coloc_Ratio is a ratio_conditional metric; when the Sox denominator is effectively absent, the ratio is not clinically interpretable as a true low colocalization state.
- The reference framework is a cohort of n=623 samples; percentile bands describe relative position within that cohort, not absolute pathology thresholds.
- Percentile placement does not imply causality, diagnosis, or direct symptom generation; individual physiology, diet, transit time, and host detoxification all influence real-world sulfur biology.
| Organism | Abundance | Sulfite_Reductase_Total_Activity | Sulfite_Reductase_Functional_Colocalized | Sulfite_Reductase_Coloc_Ratio | CysI_Subunit_Total | CysJ_Subunit_Total | CysK_CysM_Cysteine_Synthase_Potential | DsrAB_Total_Activity | DsrAB_Functional_Colocalized | DsrAB_Coloc_Ratio | DsrA_Subunit_Total | DsrB_Subunit_Total | DsrC_Accessory_Potential | DsrABC_Full_Module_Potential | AprAB_Total_Activity | AprAB_Functional_Colocalized | AprAB_Coloc_Ratio | AprA_Subunit_Total | AprB_Subunit_Total | Sat_Potential | SRB_Full_Pathway_Potential | PFHI_Protein_Fermentation_H2S_Index | Detox_Potential_Total | SQR_Potential | Sox_System_Potential | Sox_Coloc_Ratio | IscS_Tpa_Sulfur_Trafficking_Potential | SAI_Safe_Sulfur_Assimilation_Index | SAI_SRB_Activity_Index | H2S_Production_Total | SDI_Sulfur_Detoxification_Index | HPRI_H2S_Production_Risk_Index | SMB_Sulfur_Metabolism_Balance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P25-P50 | P0-P1 | P0-P1 | P0-P1 | P0-P1 | P0-P1 | P75-P95 | P0-P1 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P0-P1 | P50-P75 | P50-P75 | P50-P75 | P0-P1 | P0-P1 | P75-P95 | P50-P75 | P75-P95 | P75-P95 | P50-P75 | P75-P95 | P5-P25 | ||
| Blautia wexlerae | 97072.093 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||
| Escherichia coli | 76599.648 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||||
| Faecalibacterium prausnitzii | 36820.675 | + | + | + | + | + | + | + | + | ||||||||||||||||||||||||
| Blautia sp. | 28823.341 | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||||||
| Roseburia faecis | 23655.247 | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||||||
| Ruminococcus bromii | 12463.768 | + | + | + | + | + | + | + | + | ||||||||||||||||||||||||
| Faecalibacterium sp. | 8113.575 | + | + | + | |||||||||||||||||||||||||||||
| Obesumbacterium proteus | 6595.136 | + | + | + | + | + | + | + | + | ||||||||||||||||||||||||
| Hafnia alvei | 4308.130 | + | + | + | + | + | + | + | |||||||||||||||||||||||||
| Roseburia inulinivorans | 3437.780 | + | + | + | + | + | |||||||||||||||||||||||||||
| Haemophilus parainfluenzae | 491.260 | + | + | + | + | + | + | ||||||||||||||||||||||||||
| Salmonella sp. | 405.731 | + | + | + | + | + | + | ||||||||||||||||||||||||||
| Parabacteroides sp. | 211.875 | + | + | ||||||||||||||||||||||||||||||
| Parabacteroides distasonis | 118.401 | + | + | ||||||||||||||||||||||||||||||
| Parabacteroides sp. dnLKV8 | 37.390 | + | + | ||||||||||||||||||||||||||||||
| Serratia marcescens | 20.772 | + | + |
Basket Analysis
Methodological Note
This report summarizes PICRUSt2-predicted functional potential for basket B08, not direct biochemical activity in vivo. All findings are interpreted relatively against a reference cohort of n=623 samples, using percentile bands rather than absolute clinical cutoffs. Several pathways in this basket are zero-inflated in the reference cohort, so an absent signal can be normal biology in population terms.
Executive Summary
- This basket shows an OPTIMAL overall pattern with balanced oxalate handling; there are no extreme outliers in the unfavorable direction, and the dominant signal is protective.
- Type2_FullModule_Coloc in P99-P100 suggests very strong representation of the fully assembled Type II oxalate-degradation module, which is the most functionally supportive configuration in this basket.
- OI index in P99-P100 supports a strong specialised oxalate-degradation signature, while Oxalate_Stone_Risk_Index in P5-P25 is favorable and indicates a low composite stone-risk signal relative to the cohort.
- The broader pattern is coherent: Type II core and modular metrics are high, DPR_Degradation_Production_Ratio is in P75-P95, and the synthesis axis is not elevated.
Key Deviations (Outside P25-P75)
No extreme unfavorable outliers were identified. The non-IQR findings below are mostly protective strengths or mild favorable variation.
(a) WARNING / Pro-oxalate / risk in HIGH band — UNFAVORABLE direction.
- (none)
(b) BENEFICIAL / PROTECTIVE in LOW band — REDUCED-SUPPORT direction.
- (none)
(c) WARNING / Pro-oxalate / risk in LOW band — PROTECTIVE / favorable direction.
- Oxalate_Stone_Risk_Index (P5-P25): favorable low composite stone-risk signal, consistent with stronger degradation relative to pro-oxalate pressure.
(d) BENEFICIAL / PROTECTIVE in HIGH band — STRENGTH / favorable direction.
- Type2_OXC_total (P95-P99): strong Type II OXC core capacity, supporting efficient oxalate-degradation potential.
- Type2_FRC_total (P75-P95): mildly high Type II FRC support, consistent with an active CoA-transfer step within the degradation cycle.
- Type2_MinCycle_Coloc (P99-P100): very strong minimal-cycle colocalization, suggesting robust functional assembly of the core Type II degradation loop.
- Type2_FullModule_Coloc (P99-P100): very strong full-module colocalization, supporting a highly coherent Type II oxalate-handling module.
- T2C_TypeII_Completeness (P99-P100): very high proportional completeness of the Type II module relative to its marker pool.
- Type2_Score (P95-P99): strong overall Type II degradation composite, integrating enzyme abundance with modular organization.
- OPI_Oxalate_Protection_Index (P75-P95): mildly high protective composite, indicating favorable balance of degradation over synthesis pressure.
- OI_Oxalobacter_Index (P99-P100): very strong specialised oxalate-degradation index, consistent with a highly protective Type II-oriented signal.
- DPR_Degradation_Production_Ratio (P75-P95): mildly high degradation-to-production balance, favoring oxalate handling rather than net pro-oxalate pressure.
Axis Convergence & Cross-Axis Interactions
The axis pattern is notably coherent. Axis A shows strong Type II enzymatic support, led by high Type2_OXC_total and supported by Type2_FRC_total, while Type2_OxlT_total remains within the typical range rather than showing a mismatch. Axis B is especially strong, with both minimal-cycle and full-module colocalization in P99-P100, indicating that the enzymatic signal is not isolated but organized into a functionally plausible module.
Axis C adds redundancy: Type1_OxDC_total is detected and falls in P75-P95, which suggests a supportive backup degradation route rather than sole dependence on Type II. Axis D does not show pro-oxalate pressure, because Oxalate_Synthesis_Score is in P25-P50. This makes the favorable DPR orientation biologically consistent rather than contradictory.
Overall, degradation-related axes and composite indexes point in the same direction, and there is no competing high synthesis signal.
Composite Index Analysis
The composite indexes are concordant with the axis-level findings. OPI_Oxalate_Protection_Index in P75-P95 indicates above-typical protective balance, driven mainly by strong Type II module strength. DPR_Degradation_Production_Ratio in P75-P95 suggests degradation potential outweighs production potential. Oxalate_Stone_Risk_Index in P5-P25 is favorable and aligns with the same interpretation from the opposite direction.
In practical terms, the composite layer does not introduce conflict; it reinforces the impression of adequate-to-strong protective oxalate handling potential.
Clinical Picture (Functional Hypothesis)
This pattern is most consistent with balanced oxalate handling with a distinctly protective orientation. The main drivers are the very high Type II modular signals, especially Type2_FullModule_Coloc in P99-P100 and the OI index in P99-P100, which suggest strong specialised oxalate-degradation potential. Additional support comes from Type2_OXC_total in P95-P99 and a favorable Oxalate_Stone_Risk_Index in P5-P25. Type1_OxDC_total is also detected, which may provide backup degradation capacity. The synthesis side is not elevated, so the protective signals are not being offset by a parallel pro-oxalate pattern.
Within Normal Range (P25-P75)
Several metrics remain in the typical cohort range, which supports overall balance rather than isolated overexpression.
- Type2_OxlT_total (P50-P75)
- Oxalate_Synthesis_Score (P25-P50)
- Type1_OxDC_total: detected signal is supportive and neutral in section placement terms for binary scoring, even though the provided band is high-oriented in the source output.
Clinical Correlation Considerations
- If there is a history of calcium-oxalate stones or ongoing symptoms, correlation with 24-hour urinary oxalate and urine supersaturation testing would be the appropriate clinical reference.
- In the absence of symptoms or stone history, this basket does not suggest any urgent oxalate-handling deficit.
- Dietary context still matters clinically; even a protective microbiome pattern does not directly measure current oxalate intake, calcium intake, hydration, or enteric absorption.
Interpretation Caveats
- PICRUSt2 estimates gene-content potential, not real-time pathway activity, metabolite flux, stool oxalate, or urinary oxalate excretion.
- 24-hour urinary oxalate and stone-risk testing remain the clinical gold standard for calcium-oxalate risk assessment.
- Display caps apply in this basket to Type2_OXC_total, Type2_MinCycle_Coloc, Type2_FullModule_Coloc, Type1_OxDC_total, OI_Oxalobacter_Index, and Oxalate_Stone_Risk_Index; when a value reaches the cap, it indicates a true biological extreme, but the raw uncapped value is intentionally not shown.
- DPR_Degradation_Production_Ratio can be non-interpretable in some samples when denominator conditions are not met; that does not apply here, but in general such a result should not be read as “low.”
- All interpretations are relative to the reference cohort of n=623; percentile bands describe position within that cohort, not absolute disease thresholds.
- Percentile-based associations do not establish causality and should be integrated with clinical history, diet, hydration status, and urinary chemistry.
Metric Coverage Check (B08-specific appendix)
- Type2_OXC_total — OUTLIER_HIGH
- Type2_FRC_total — OUTLIER_HIGH
- Type2_OxlT_total — IQR
- Type2_MinCycle_Coloc — OUTLIER_HIGH
- Type2_FullModule_Coloc — OUTLIER_HIGH
- T2C_TypeII_Completeness — OUTLIER_HIGH
- Type2_Score — OUTLIER_HIGH
- Type1_OxDC_total — OUTLIER_HIGH (source output provided a percentile-style band, but this metric is defined as binary in basket methodology)
- Oxalate_Synthesis_Score — IQR
- OPI_Oxalate_Protection_Index — OUTLIER_HIGH
- OI index — OUTLIER_HIGH
- DPR_Degradation_Production_Ratio — OUTLIER_HIGH
- Oxalate_Stone_Risk_Index — OUTLIER_LOW
| Organism | Abundance | Type2_OXC_total | Type2_FRC_total | Type2_OxlT_total | Type2_MinCycle_Coloc | Type2_FullModule_Coloc | T2C_TypeII_Completeness | Type2_Score | Type1_OxDC_total | Oxalate_Synthesis_Score | OPI_Oxalate_Protection_Index | OI_Oxalobacter_Index | DPR_Degradation_Production_Ratio | Oxalate_Stone_Risk_Index |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P95-P99 | P75-P95 | P50-P75 | P99-P100 | P99-P100 | P99-P100 | P95-P99 | P75-P95 | P25-P50 | P75-P95 | P99-P100 | P75-P95 | P5-P25 | ||
| Obesumbacterium proteus | 12926.467 | + | + | + | + | + | + | + | + | + | + | + | ||
| Hafnia alvei | 11672.871 | + | + | + | + | + | + | + | + | + | + | |||
| Escherichia coli | 10569.874 | + | + | + | + | + | + | + | ||||||
| Faecalibacterium prausnitzii | 8899.819 | + | + | + | + | + | + | |||||||
| Blautia sp. | 2741.915 | + | + | + | + | |||||||||
| Faecalibacterium sp. | 1738.623 | + | + | + | ||||||||||
| Roseburia inulinivorans | 510.993 | + | + | |||||||||||
| Anaerostipes hadrus | 332.353 | + | ||||||||||||
| Lachnospiraceae bacterium MC_36 | 234.725 | + | ||||||||||||
| Hafnia sp. | 33.235 | + | + | + | + | + | ||||||||
| Serratia marcescens | 10.386 | + | ||||||||||||
| Obesumbacterium sp. UIWRF0907 | 8.309 | + | + | + | + | + |
Basket Analysis
Methodological Note
This report summarizes PICRUSt2-predicted metabolic potential, meaning it estimates what the microbiome could do functionally based on inferred gene content from 16S data, rather than measuring real-time activity. Results are interpreted against a reference cohort of n=623 samples using percentile bands. Several metrics in this basket are compared as percentile-position signals, so the emphasis is on relative functional patterning, not direct measurement of mucin degradation or barrier injury.
Executive Summary
- This basket shows an overall MINOR VARIATION profile, with a largely fiber-favored and protective functional pattern despite 2 extreme outliers.
- Resistant_Starch_Degradation_Potential in P95-P99 and Prebiotic_Response_Potential in P95-P99 are major strengths, suggesting strong predicted capacity to use resistant starch and a favorable response profile to selected prebiotic substrates.
- The barrier balance is notably favorable: Fiber_to_Mucin_Ratio is in P95-P99, while both Barrier_Risk_Index and Leaky_Gut_Risk_Score are in P1-P5, supporting a fiber-oriented rather than mucin-oriented metabolic configuration.
- Pattern-wise, this is most consistent with Pattern E — Protective profile: fiber-support metrics are high, several mucin-risk metrics are low, and the fiber-to-mucin balance is shifted in a favorable direction.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- Mucin_Core_Cleavage_Index (P75-P95): mildly elevated terminal-stage mucin core-cleavage potential, indicating some capacity for later-stage mucin access if upstream steps are available.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- Pectin_Degradation_Potential (P5-P25): relatively lower predicted capacity for pectin handling, suggesting narrower support for fruit- and vegetable-derived galacturonan substrates.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- Sialidase_Total (P5-P25): low Stage 1 mucin decapping potential is favorable and suggests restrained terminal sialic-acid removal from mucin glycans.
- Fucosidase_Total (P5-P25): low complementary decapping activity is favorable and suggests limited removal of terminal fucose from mucin structures.
- Mucin_Decapping_Index (P5-P25): low combined decapping potential is favorable because initiation of mucin degradation is relatively restrained.
- Mucin_Glycan_Chain_Degradation (P5-P25): low chain-degradation potential is favorable and suggests reduced support for deeper mucin glycan processing.
- Complete_Decapping_Coloc (P5-P25): low co-localized decapping potential is favorable and suggests less coordinated same-organism terminal mucin uncapping capacity.
- Mucin_Degradation_Index (P5-P25): low integrated mucin-degradation potential is favorable and supports a controlled mucin-handling profile.
- IBD_Risk_Taxa_Score (P5-P25): low population-pattern risk proxy is favorable; this does not diagnose or exclude IBD.
- Mucosal_Specialist_Score (P5-P25): low mucosal-specialist orientation is favorable and suggests less dependence on a mucin-focused niche.
- Barrier_Risk_Index (P1-P5): very low barrier-risk balance is strongly favorable and indicates the overall functional balance is shifted away from mucin-dominant pressure.
- Mucosal_Metabolic_Balance (P5-P25): low balance score is favorable here and suggests the mucosal niche is not strongly shifted toward mucin-axis dominance.
- Leaky_Gut_Risk_Score (P1-P5): very low composite barrier-risk signal is strongly favorable and consistent with preserved barrier-supportive functional orientation.
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- Fructan_Degradation_Potential (P75-P95): above-average fructan/inulin/FOS utilization suggests good predicted handling of classic prebiotic substrates.
- Resistant_Starch_Degradation_Potential (P95-P99): very high resistant starch utilization potential is a major strength and supports robust fermentation capacity for RS-type substrates.
- Fiber_Utilization_Capacity (P75-P95): above-average total fiber-use breadth supports a generally strong carbohydrate-fermenting profile.
- Fiber_to_Mucin_Ratio (P95-P99): very high ratio indicates a strongly fiber-preferring metabolic orientation relative to mucin use.
- Prebiotic_Response_Potential (P95-P99): very high predicted prebiotic responsiveness suggests favorable functional readiness for fructan/RS-directed support.
- Carbohydrate_Versatility_Index (P75-P95): above-average substrate versatility suggests broad carbohydrate-handling capacity across multiple fiber classes.
Axis Convergence & Cross-Axis Interactions
Fiber vs Mucin Pattern Analysis
The dominant cross-axis signal is fiber preference over mucin reliance. This is supported by Fiber_to_Mucin_Ratio in P95-P99, together with strong fiber-side metrics including Resistant_Starch_Degradation_Potential in P95-P99, Prebiotic_Response_Potential in P95-P99, and broader support from Fiber_Utilization_Capacity and Carbohydrate_Versatility_Index in P75-P95. On the mucin side, early-stage decapping markers—Sialidase_Total, Fucosidase_Total, and Mucin_Decapping_Index—sit in P5-P25, which is a favorable pattern because mucin degradation is harder to initiate when Stage 1 capacity is relatively restrained.
Mucin_Degradation_Pathway_Completeness is in P50-P75, indicating the machinery for all stages is present at a background level, but the percentile pattern does not suggest strong activation pressure across the pathway. NanOperon_Activity is in P25-P50, so there is no strong downstream sialic-acid-foraging signal. Mucosal_Specialist_Score in P5-P25 further supports that this is not a strongly mucin-specialized configuration.
Barrier Integrity Interpretation
The barrier-related composite picture is distinctly favorable. Barrier_Risk_Index and Leaky_Gut_Risk_Score are both in P1-P5, which strongly supports a protective balance between carbohydrate fermentation and mucin-handling potential. IBD_Risk_Taxa_Score is in P5-P25, which is also favorable, but it should be interpreted strictly as a population-pattern risk proxy, not as a diagnosis or screening result.
The one counterbalancing feature is Mucin_Core_Cleavage_Index in P75-P95, indicating some later-stage mucin-processing capacity. However, because upstream decapping metrics are low and fiber-orientation metrics are strong, this later-stage signal appears functionally buffered rather than dominant.
Composite Index Analysis
Composite and balance metrics reinforce a coherent protective pattern rather than a mixed-risk picture.
- Fiber_Utilization_Capacity (P75-P95): above-average overall fiber fermentation breadth.
- Mucin_Degradation_Index (P5-P25): low integrated mucin-degradation potential, favorable in barrier context.
- Fiber_to_Mucin_Ratio (P95-P99): strong fiber-over-mucin orientation; this is one of the clearest basket-level strengths.
- Barrier_Risk_Index (P1-P5): strongly favorable composite balance, consistent with low mucin pressure relative to fiber use.
- Mucosal_Metabolic_Balance (P5-P25): favorable low-band position, arguing against mucin-axis dominance.
- Prebiotic_Response_Potential (P95-P99): very strong predicted responsiveness to selected prebiotic substrates.
- Carbohydrate_Versatility_Index (P75-P95): broad substrate flexibility, which likely helps stabilize the overall profile.
- Mucosal_Specialist_Score (P5-P25): low mucosal-specialist weighting, which keeps the mucin niche from becoming a dominant metabolic strategy.
Clinical Picture (Functional Hypothesis)
This profile is most consistent with Pattern E — Protective profile: Fiber_Utilization_Capacity in P75-P95, Mucin_Decapping_Index in P5-P25, and Fiber_to_Mucin_Ratio in P95-P99. Functionally, the microbiome appears better equipped to use dietary carbohydrate substrates than to rely heavily on host mucin as an alternative carbon source. The strongest drivers of this interpretation are the very high bands for Resistant_Starch_Degradation_Potential and Prebiotic_Response_Potential, which suggest robust support for resistant starch and prebiotic-type substrate handling.
The mucin axis is present but restrained. Early mucin access steps are low, the integrated mucin-degradation composite is low, and mucosal-specialist orientation is low. Although Mucin_Core_Cleavage_Index is mildly elevated, it does not appear to define the basket because the upstream entry steps into mucin degradation are not similarly elevated. Overall, this is a fiber-favored, barrier-supportive functional pattern with only minor variation rather than a concerning mucin-shifted state.
Within Normal Range (P25-P75)
Several metrics sit within the expected reference range or represent neutral background detection, supporting an overall balanced interpretation.
- Cellulose_Degradation_Potential (P50-P75)
- Hemicellulose_Degradation_Potential (P25-P50)
- Mucin_Desulfation_Index (present / reported here as P50-P75 in source data): detected, but this pathway is binary by design and should be treated as presence of pathway detection, not magnitude.
- Full_Mucin_Degradation_Coloc (P25-P50)
- NanOperon_Activity (P25-P50)
- Mucin_Degradation_Pathway_Completeness (P50-P75)
Clinical Correlation Considerations
- Review habitual intake of resistant starch, fructan-containing foods, and mixed plant fibers, as the functional profile suggests these substrates are likely to be well supported.
- Because Prebiotic_Response_Potential is in P95-P99, response to appropriately selected prebiotic strategies may be favorable from a functional-capacity perspective.
- If gastrointestinal symptoms are present, correlate them with tolerance to inulin/FOS and resistant starch, since predicted utilization is strong but tolerance can still vary clinically.
- Barrier-related symptoms should still be interpreted clinically, but the current functional pattern does not suggest a dominant barrier-risk configuration.
- IBD_Risk_Taxa_Score should only be considered in the context of symptoms, history, and standard clinical evaluation; by itself it is only a population-pattern proxy.
Interpretation Caveats
- This is a report of predicted functional potential, not direct measurement of actual mucin degradation, glycan turnover, or epithelial barrier status.
- Fiber-related metrics reflect gene-content capacity, not actual dietary intake; a microbiome may have the machinery to use fiber even if current intake is low.
- Mucin_Desulfation_Index is a binary-style detection metric; detection reflects pathway presence, not quantitative intensity.
- IBD_Risk_Taxa_Score is a population-pattern risk proxy, not an IBD diagnosis, screening test, or patient-specific disease probability.
- Reference comparisons are based on a cohort of n=623 samples.
- Percentile bands indicate relative position within the cohort; values near band boundaries may not differ meaningfully from adjacent bands biologically.
| Organism | Abundance | Cellulose_Degradation_Potential | Hemicellulose_Degradation_Potential | Fructan_Degradation_Potential | Resistant_Starch_Degradation_Potential | Pectin_Degradation_Potential | Fiber_Utilization_Capacity | Sialidase_Total | Fucosidase_Total | Mucin_Decapping_Index | Mucin_Desulfation_Index | Mucin_Glycan_Chain_Degradation | Mucin_Core_Cleavage_Index | Complete_Decapping_Coloc | Full_Mucin_Degradation_Coloc | Mucin_Degradation_Index | NanOperon_Activity | IBD_Risk_Taxa_Score | Mucosal_Specialist_Score | Barrier_Risk_Index | Fiber_to_Mucin_Ratio | Mucosal_Metabolic_Balance | Prebiotic_Response_Potential | Carbohydrate_Versatility_Index | Leaky_Gut_Risk_Score | Mucin_Degradation_Pathway_Completeness |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P50-P75 | P25-P50 | P75-P95 | P95-P99 | P5-P25 | P75-P95 | P5-P25 | P5-P25 | P5-P25 | P50-P75 | P5-P25 | P75-P95 | P5-P25 | P25-P50 | P5-P25 | P25-P50 | P5-P25 | P5-P25 | P1-P5 | P95-P99 | P5-P25 | P95-P99 | P75-P95 | P1-P5 | P50-P75 | ||
| Blautia wexlerae | 1038324.705 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||
| Faecalibacterium prausnitzii | 705701.214 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||
| Blautia sp. | 325008.301 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||
| Roseburia faecis | 211987.404 | + | + | + | + | + | + | + | + | + | + | |||||||||||||||
| Ruminococcus bromii | 185072.498 | + | + | + | + | + | + | + | ||||||||||||||||||
| Escherichia coli | 71582.152 | + | + | + | + | + | + | |||||||||||||||||||
| Faecalibacterium sp. | 33357.886 | + | + | + | + | + | + | + | ||||||||||||||||||
| Fusicatenibacter saccharivorans | 18803.927 | + | + | + | + | + | ||||||||||||||||||||
| Anthropogastromicrobium aceti | 5849.418 | + | + | + | ||||||||||||||||||||||
| Phocaeicola vulgatus | 2938.086 | + | + | + | ||||||||||||||||||||||
| Blautia faecis | 1382.382 | + | ||||||||||||||||||||||||
| Bacteroides fragilis | 664.707 | + | + | + | ||||||||||||||||||||||
| Bacteroides uniformis | 498.530 | + | + | + | ||||||||||||||||||||||
| Bifidobacterium bifidum | 406.094 | + | + | + | + | |||||||||||||||||||||
| Clostridiales bacterium L2-14 | 278.346 | + | + | |||||||||||||||||||||||
| Parabacteroides sp. | 264.844 | + | + | |||||||||||||||||||||||
| Barnesiella sp. | 211.875 | + | ||||||||||||||||||||||||
| Roseburia sp. 1120 | 174.485 | + | ||||||||||||||||||||||||
| Lachnospira eligens | 102.822 | + | ||||||||||||||||||||||||
| Salmonella sp. | 76.047 | + | + | |||||||||||||||||||||||
| Lactobacillus rogosae | 69.586 | + | ||||||||||||||||||||||||
| Lachnospira pectinoschiza | 43.621 | + | ||||||||||||||||||||||||
| Streptococcus sp. | 27.004 | + | ||||||||||||||||||||||||
| Streptococcus oralis | 14.540 | + | ||||||||||||||||||||||||
| Clostridium sp. Marseille-Q5894 | 8.309 | + | ||||||||||||||||||||||||
| Oscillospiraceae bacterium | 6.232 | + | ||||||||||||||||||||||||
| Streptococcus mitis | 4.154 | + | ||||||||||||||||||||||||
| Acutalibacter sp. | 2.077 | + | ||||||||||||||||||||||||
| Salmonella enterica | 1.184 | + |
Basket Analysis
Methodological Note
This report reflects PICRUSt2-predicted functional potential of the microbiome, not direct blood or stool vitamin measurements. Results are interpreted as percentile bands versus a reference cohort of n=623 samples, focusing on whether the microbiome is functionally oriented more as a B-vitamin producer (FACTORY) or consumer, especially for B12 and folate/B9.
In this basket, interpretation is based on the relative position of synthesis, uptake, balance, and composite indices within the cohort. The current profile shows no extreme outliers in active percentile-scored metrics, which places this basket in the OPTIMAL status category.
Executive Summary
For B11, the executive verdict is expressed through the profile classification below.
Profile Classification
Main profile: FACTORY
- BBI_B12_Balance_Index in P50-P75 supports a FACTORY orientation rather than a consumer-leaning pattern.
- No modifier is triggered: B12_SC_Synthesis_Completeness_Proxy is in P50-P75, so neither EFFICIENT nor SCATTERED applies; B12_Aerobic_cob_Potential is in P75-P95, which is high-normal but does not meet the modifier threshold beyond the standard favorable interpretation.
Overall, this is a balanced and functionally supportive vitamin-factory profile, with B12 production-side capacity slightly favored over uptake-side demand and a stable folate background.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- B12_Uptake_Core_Potential (P75-P95): mildly elevated B12 uptake capacity, suggesting somewhat increased microbial demand for available B12, but still within a high-normal rather than extreme range.
- B12_ABC_Transport_Module (P75-P95): mildly elevated completeness of the B12 ABC transport machinery, indicating somewhat stronger uptake efficiency on the consumer side.
- B12_Complete_Thief_Module (P75-P95): mildly elevated complete B12 uptake architecture, consistent with some increase in B12 acquisition potential, though not at an extreme level.
- B12_Uptake_Score (P75-P95): mildly elevated composite uptake pressure, driven by concurrent high-normal positioning of B12_Uptake_Core_Potential, B12_ABC_Transport_Module, and B12_Complete_Thief_Module.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
(none)
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
(none)
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- B12_Aerobic_cob_Potential (P75-P95): high-normal positioning suggests robust B12-production capacity on the aerobic cob side.
- B12_Salvage_Potential (P75-P95): high-normal salvage/recycling capacity supports effective reuse of B12 precursors and strengthens overall B12 handling.
- B12_Synthesis_Score (P75-P95): high-normal composite synthesis capacity indicates robust de novo/supportive B12 production potential, driven by favorable positioning of B12_Aerobic_cob_Potential and B12_Salvage_Potential alongside mid-range anaerobic synthesis components.
Axis Convergence & Cross-Axis Interactions
- AXIS 1 — B12 Synthesis: HIGH=3 (B12_Aerobic_cob_Potential in P75-P95; B12_Salvage_Potential in P75-P95; B12_Synthesis_Score in P75-P95), LOW=0 — mild convergence toward stronger B12 production capacity.
- AXIS 2 — B12 Uptake/Competition: HIGH=4 (B12_Uptake_Core_Potential, B12_ABC_Transport_Module, B12_Complete_Thief_Module, B12_Uptake_Score all in P75-P95), LOW=0 — mild convergence toward increased B12 acquisition demand.
- AXIS 3 — B12 Balance: HIGH=0, LOW=0 — BBI_B12_Balance_Index remains in P50-P75, indicating that synthesis and uptake pressures net out to a stable factory-leaning balance.
- AXIS 4 — Folate / B9: HIGH=0, LOW=0 — folate synthesis, uptake, and balance metrics all remain within IQR, supporting a steady folate background.
- AXIS 5 — Composite & Drug Interaction: HIGH=0, LOW=0 — VFI and DIRI metrics remain within IQR, so there is no cross-axis escalation from composite or drug-target load markers.
The main interaction pattern is parallel high-normal activity on both the B12 synthesis side and the B12 uptake side, with the net balance still remaining factory-leaning rather than consumer-shifted.
Composite Index Analysis
- BBI_B12_Balance_Index (P50-P75): supports a FACTORY orientation for B12, with synthesis capacity modestly outweighing uptake pressure.
- B9BI_Folate_Balance_Index (P25-P50): indicates a balanced-to-mild producer folate orientation rather than a folate-consumer pattern.
- VFI_Vitamin_Factory_Index (P50-P75): supports overall healthy vitamin-factory strength across the combined B12/B9 framework.
- B12/B9 Concordance: concordant — both balance indices sit on the producer/balanced side rather than showing opposing directions.
Clinical Picture (Functional Hypothesis)
- The microbiome shows a factory-leaning B12 profile, because B12_Synthesis_Score is in P75-P95 while BBI_B12_Balance_Index remains in P50-P75.
- The strongest favorable findings are B12_Synthesis_Score in P75-P95 and B12_Salvage_Potential in P75-P95, which together suggest good capacity to support B12 production and precursor recycling.
- At the same time, the B12 uptake side is also high-normal across multiple metrics, so this is best viewed as an active but balanced B12 ecosystem rather than a purely production-dominant one.
- Folate-side metrics remain stable within IQR, which helps keep the broader vitamin-factory picture functionally even.
Within Normal Range (P25-P75)
- B12_Anaerobic_cbi_Operon_Potential (P50-P75): within normal range; adequate anaerobic B12 synthesis backbone.
- B12_Anaerobic_Min_Functional_Module (P50-P75): within normal range; adequate minimal functional anaerobic synthesis module.
- B12_Anaerobic_Min_Module_Ratio (P50-P75): within normal range; balanced completeness of the anaerobic synthesis module.
- BBI_B12_Balance_Index (P50-P75): within normal range; stable factory-leaning B12 balance.
- B12_SC_Synthesis_Completeness_Proxy (P50-P75): within normal range; adequate synthesis completeness proxy.
- Folate_DeNovo_Synthesis_Potential (P25-P50): within normal range; adequate folate de novo synthesis potential.
- Folate_Synthesis_Functional_Coloc (P25-P50): within normal range; adequate functional organization of folate synthesis.
- Folate_Uptake_Potential (P25-P50): within normal range; no notable folate uptake shift.
- B9BI_Folate_Balance_Index (P25-P50): within normal range; balanced folate producer-consumer relationship.
- VFI_Vitamin_Factory_Index (P50-P75): within normal range; healthy combined vitamin-factory profile.
- DIRI_Sulfonamide_Target_Load (P25-P50): within normal range; typical sulfonamide target load.
- DIRI_Methotrexate_Target_Load (P50-P75): within normal range; typical methotrexate target load.
- DIRI_Combined_Risk_Proxy (P25-P50): within normal range; no notable elevation in combined folate-axis drug-target load.
Clinical Correlation Considerations
- Routine monitoring is sufficient; this basket does not show a specific functional concern in B12/B9 producer-consumer balance.
- If clinically relevant, serum B12 and folate can be followed on the usual schedule, but this profile itself is broadly balanced.
- Because B12 uptake-side metrics are high-normal, interpretation is best integrated with the wider clinical picture rather than viewed in isolation.
Interpretation Caveats
- PICRUSt2 predicts gene-content potential; it does not measure actual serum B12, serum folate, or real-time metabolite output.
- Host absorption factors that strongly influence B12 status — including intrinsic factor, gastric acidity, and terminal ileum function — are not measured in this basket.
- DIRI metrics reflect gene-target load only; they do not establish a causal drug-microbiome interaction in this individual.
- Reference cohort size was n=623, so all interpretations are relative to that cohort distribution.
- Percentile bands describe relative positioning, not diagnosis; biological variation within bands is expected, and no causality is implied.
| Organism | Abundance | B12_Anaerobic_cbi_Operon_Potential | B12_Anaerobic_Min_Functional_Module | B12_Anaerobic_Min_Module_Ratio | B12_Aerobic_cob_Potential | B12_Salvage_Potential | B12_Synthesis_Score | B12_Uptake_Core_Potential | B12_ABC_Transport_Module | B12_Complete_Thief_Module | B12_Uptake_Score | BBI_B12_Balance_Index | B12_SC_Synthesis_Completeness_Proxy | Folate_DeNovo_Synthesis_Potential | Folate_Synthesis_Functional_Coloc | Folate_Uptake_Potential | B9BI_Folate_Balance_Index | VFI_Vitamin_Factory_Index | DIRI_Sulfonamide_Target_Load | DIRI_Methotrexate_Target_Load | DIRI_Combined_Risk_Proxy |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P50-P75 | P50-P75 | P50-P75 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P75-P95 | P50-P75 | P50-P75 | P25-P50 | P25-P50 | P25-P50 | P25-P50 | P50-P75 | P25-P50 | P50-P75 | P25-P50 | ||
| Blautia wexlerae | 187210.464 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||
| Faecalibacterium prausnitzii | 125067.624 | + | + | + | + | + | + | + | + | + | |||||||||||
| Escherichia coli | 70150.955 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||
| Blautia sp. | 62926.945 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||
| Faecalibacterium sp. | 51660.167 | + | + | + | + | + | + | + | + | + | |||||||||||
| Roseburia faecis | 14102.166 | + | + | + | + | + | + | ||||||||||||||
| Obesumbacterium proteus | 11343.634 | + | + | + | + | + | + | + | + | + | + | ||||||||||
| Hafnia alvei | 9883.357 | + | + | + | + | + | + | + | |||||||||||||
| Anthropogastromicrobium aceti | 1063.531 | + | + | + | |||||||||||||||||
| Roseburia inulinivorans | 943.053 | + | |||||||||||||||||||
| Salmonella sp. | 305.973 | + | + | + | + | ||||||||||||||||
| Shigella sp. | 243.906 | + | + | + | + |
Basket Analysis
Methodological Note
This report reflects PICRUSt2-predicted metabolic potential derived from 16S-based gene-content inference, not direct methane measurement, breath testing, or direct in-vivo activity. Results are interpreted as percentile bands versus a reference cohort of n=623 samples. Several methanogenesis-related pathways in this domain can be zero-inflated in Western cohorts, so absence or very low signal in some pathway components may represent a typical Western non-methanogenic-default pattern rather than a deficiency.
Executive Summary
- This basket shows SIGNIFICANT DYSREGULATION by percentile pattern, with 9 extreme outliers across active percentile-scored metrics.
- The dominant picture is a mixed methanogenesis profile: hydrogenotrophic orientation is broadly preserved in the mid-range, while several methylotrophic-support metrics are at the P0-P1 floor and terminal/composite methane-orientation markers are shifted upward into P75-P95.
- Notable high-band convergence is present for MCR_Gold_Standard, Total_Methanogenesis_Potential, Methane_Production_Index, IBS_C_Risk_Score, and HIGH_METHANOGENESIS_FLAG, which together suggest an overall methanogenic orientation that requires attention in clinical context.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- IBS_C_Risk_Score (P75-P95): mild-high composite pattern consistent with increased constipation-associated methanogenic orientation.
- Total_Methanogenesis_Potential (P75-P95): elevated overall methanogenic orientation relative to the reference cohort.
- Methane_Production_Index (P75-P95): mild-high composite methane-production orientation.
- HIGH_METHANOGENESIS_FLAG (P75-P95): flag pattern consistent with higher methanogenic orientation in this schema.
(b) BENEFICIAL / SINK in LOW band — REDUCED-SUPPORT direction.
- MvhADG_Hydrogenase_Raw (P0-P1): very low raw hydrogenase signal, indicating reduced direct support for hydrogen uptake machinery.
- MvhADG_Functional_Complete (P0-P1): very low functional completeness of the MvhADG complex; this should be interpreted cautiously because this pathway is rare in reference populations and often behaves as a Western non-methanogenic-default feature rather than a clinical deficit.
- MtaBC_First_Step (P0-P1): very low first-step methylotrophic pathway support, consistent with minimal methanol-to-methylcorrinoid conversion potential.
- MtaABC_Complete_Pathway (P0-P1): very low complete methylotrophic pathway support, consistent with minimal integrated methylotrophic methanogenesis capacity.
- Methylotroph_Potential (P0-P1): very low overall methylotrophic potential, suggesting limited methylamine/methanol sink capacity.
- TMA_Clearance_via_Methylotrophs (P0-P1): very low methylotroph-linked TMA clearance potential, which may indicate reduced sink capacity for methylamine substrates.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
(none)
(d) BENEFICIAL / SINK in HIGH band — STRENGTH / favorable direction.
- MCR_Gold_Standard (P75-P95): mild-high terminal methane-step signal, indicating preserved terminal methanogenesis gene-content potential.
Axis Convergence & Cross-Axis Interactions
- AXIS 1 — Hydrogenotrophic Methanogenesis: HIGH=0, LOW=2, MID/IQR=3. MvhADG_Hydrogenase_Raw and MvhADG_Functional_Complete are low, but Hydrogenotroph_Potential, CO2_Reduction_Pathway, and H2_Sink_Methanogenic remain in the interquartile range. This suggests reduced proximal hydrogenase support without collapse of the broader hydrogenotrophic axis.
- AXIS 2 — Methylotrophic Methanogenesis: HIGH=0, LOW=4, MID/IQR=1. MtaBC_First_Step, MtaABC_Complete_Pathway, Methylotroph_Potential, and TMA_Clearance_via_Methylotrophs are low, while MtaABC_Methylotrophic_Raw is only mid-range. This pattern is consistent with raw component presence without functional pathway completeness.
- AXIS 3 — Terminal Methane Step: HIGH=1, LOW=0. MCR_Gold_Standard in P75-P95 indicates preserved-to-high terminal methane-step potential.
- AXIS 4 — Total Methane Orientation: HIGH=2, LOW=0. Total_Methanogenesis_Potential and Methane_Production_Index both sit in P75-P95, showing coherent upward orientation at the composite level.
- AXIS 5 — Competition and Balance: HIGH=0, LOW=0, MID/IQR=3. Methanogen_vs_SRB_Competition and Methanogen_Completeness_Ratio are mid-range; this supports a balanced competition/completeness picture without an extreme directional shift. No inference about SRB activity should be made from this ratio alone.
- AXIS 6 — Risk Composites / Flags: HIGH=2, LOW=0. IBS_C_Risk_Score and HIGH_METHANOGENESIS_FLAG converge in P75-P95, reinforcing the high-composite methanogenic orientation.
Overall, the main cross-axis pattern is upward convergence of terminal/composite methanogenesis markers despite low methylotrophic completeness metrics. This suggests that the elevated composite orientation is being driven more by terminal and non-methylotrophic components than by a complete methylotrophic module.
Composite Index Analysis
- Total_Methanogenesis_Potential (P75-P95): indicates an overall methanogenic orientation above the cohort mid-range.
- Methane_Production_Index (P75-P95): supports the same direction, showing that the integrated methane-production composite is shifted upward.
- IBS_C_Risk_Score (P75-P95): aligns with the composite methanogenesis signal and suggests a functional pattern that may correlate with constipation-associated methane biology in the right clinical context.
- Methanogen_Completeness_Ratio (P50-P75): remains within the normal range, which argues against a gross mismatch between terminal-step signal and upstream pathway support at the ratio level.
- Methanogen_vs_SRB_Competition (P25-P50): sits in the normal range and should be read only as a balance index, not as a direct assay of competing sulfur metabolism.
Clinical Picture (Functional Hypothesis)
This profile is most consistent with a methanogenic orientation that is composite-high but structurally uneven. The strongest upward signals are seen in MCR_Gold_Standard, Total_Methanogenesis_Potential, Methane_Production_Index, IBS_C_Risk_Score, and HIGH_METHANOGENESIS_FLAG, all in P75-P95. In contrast, the methylotrophic branch shows marked reduction in functional completeness markers, with MtaBC_First_Step, MtaABC_Complete_Pathway, Methylotroph_Potential, and TMA_Clearance_via_Methylotrophs all in P0-P1. The hydrogenotrophic side is more mixed: early hydrogenase-related support is very low, but broader hydrogenotrophic and CO2-reduction composites remain within the interquartile range. Functionally, this suggests that the basket is not showing a uniformly amplified methanogenesis program across all branches; rather, it shows preserved terminal methane-step potential with elevated overall orientation indices and weak methylotrophic completeness. In clinical correlation, such a pattern may be more relevant when symptoms suggest slower transit or constipation-predominant bowel pattern, but this report alone does not diagnose methane excess or predict breath-test positivity. It describes predicted gene-content potential only.
Within Normal Range (P25-P75)
- Hydrogenotroph_Potential (P25-P50): within normal range, indicating typical overall hydrogenotrophic potential for this cohort.
- MtaABC_Methylotrophic_Raw (P50-P75): within normal range, indicating detectable raw methylotrophic component signal despite low functional completeness metrics.
- CO2_Reduction_Pathway (P25-P50): within normal range, consistent with adequate background CO2-reduction pathway support.
- Hydrogenotroph_Methanogenesis_Index (P25-P50): within normal range, supporting a typical absolute hydrogenotrophic orientation.
- H2_Sink_Methanogenic (P25-P50): within normal range, indicating adequate methanogenic hydrogen-sink capacity.
- Methanogen_vs_SRB_Competition (P25-P50): within normal range as a balance index; neutral orientation only.
- Methanogen_Completeness_Ratio (P50-P75): within normal range, suggesting no major completeness imbalance at the ratio level.
- HYDROGENOTROPH_DOMINANT_FLAG (P25-P50): within normal range, indicating no extreme hydrogenotrophic dominance signal.
- H2_COMPETITION_ACTIVE_FLAG (P25-P50): within normal range, consistent with typical background H2-competition activity.
Clinical Correlation Considerations
- If there is a clinical history of constipation, slower transit, or IBS-C-type symptoms, the convergence of IBS_C_Risk_Score, Total_Methanogenesis_Potential, and HIGH_METHANOGENESIS_FLAG may be relevant.
- If methane breath testing is available, this profile may provide functional context, but it should not be treated as a substitute for direct methane measurement.
- The very low TMA_Clearance_via_Methylotrophs may be worth integrating with any separate TMA/TMAO-related functional data, as it suggests limited methylotroph-linked sink capacity.
- Because hydrogenotrophic composites remain mostly mid-range, the elevated composite methanogenesis picture appears selective rather than globally amplified.
Interpretation Caveats
- This is a report of predicted gene-content potential from PICRUSt2, not a direct measure of methane production, breath methane, or in-vivo pathway flux.
- Some interpretations rely on proxy composites and ratio logic; these may not fully reflect real-time metabolic activity.
- Several B12 metrics are not_scoreable in the current schema because of insufficient population variance; they are excluded from formal percentile interpretation even if displayed in source data.
- A display cap may apply to some high-end methanogenesis composites; when triggered, the raw biological signal exceeds the clinical display scale and is intentionally not shown.
- The reference cohort includes 623 samples and is predominantly a Western non-methanogenic-default population, which affects how low or absent methanogenesis-related features should be interpreted.
- Percentile bands describe relative position within the cohort; they do not establish causality, diagnosis, or symptom certainty.
| Organism | Abundance | MvhADG_Hydrogenase_Raw | MvhADG_Functional_Complete | Hydrogenotroph_Potential | MtaABC_Methylotrophic_Raw | MtaBC_First_Step | MtaABC_Complete_Pathway | Methylotroph_Potential | MCR_Gold_Standard | CO2_Reduction_Pathway | Total_Methanogenesis_Potential | Hydrogenotroph_Methanogenesis_Index | H2_Sink_Methanogenic | IBS_C_Risk_Score | Methanogen_vs_SRB_Competition | TMA_Clearance_via_Methylotrophs | Methane_Production_Index | Methanogen_Completeness_Ratio | HIGH_METHANOGENESIS_FLAG | HYDROGENOTROPH_DOMINANT_FLAG | H2_COMPETITION_ACTIVE_FLAG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P0-P1 | P0-P1 | P25-P50 | P50-P75 | P0-P1 | P0-P1 | P0-P1 | P75-P95 | P25-P50 | P75-P95 | P25-P50 | P25-P50 | P75-P95 | P25-P50 | P0-P1 | P75-P95 | P50-P75 | P75-P95 | P25-P50 | P25-P50 | ||
| Faecalibacterium prausnitzii | 8113.575 | + | + | + | + | + | + | ||||||||||||||
| Gemmiger formicilis | 319.890 | + | + | + | + | + | + | ||||||||||||||
| Lachnospiraceae bacterium | 132.941 | + | + | + | + | ||||||||||||||||
| Sellimonas sp. | 83.088 | + | + | ||||||||||||||||||
| Oscillospiraceae bacterium | 65.432 | + | + | + | + | + | + | ||||||||||||||
| Bifidobacterium longum | 57.123 | + | + | + | + | + | + | + | + | + | + | + | |||||||||
| Yersinia enterocolitica | 42.998 | + | + | + | + | + | + | + | + | + | + | ||||||||||
| Rothia mucilaginosa | 25.446 | + | + | + | + | + | + | + | |||||||||||||
| Schaalia odontolytica | 9.742 | + | + | + | + | + | + | + | |||||||||||||
| Drancourtella massiliensis | 8.309 | + | |||||||||||||||||||
| Yersinia frederiksenii | 7.270 | + | + | + | + | + | + | + | |||||||||||||
| Intestinibacter bartlettii | 6.232 | + | + | ||||||||||||||||||
| Veillonella atypica | 2.077 | + |
Basket Analysis
Methodological Note
This report summarizes PICRUSt2-predicted metabolic potential from 16S-derived functional inference, not direct metabolite measurement. Results are interpreted by percentile band versus the reference cohort (n=623), so the report describes what this gut ecosystem could functionally do relative to peers. Several pathways in this basket are zero-inflated in the reference cohort—for such pathways, absence can be normal biology; in this sample, the H2S-related conditional pathways fall into that context.
Executive Summary (CALIBRATED TO BASKET STATUS)
This basket shows a significant dysregulation pattern best classified as active but burdened: there are multiple supportive features, but they coexist with several high-burden signals that require attention. The most notable unfavorable findings are Fe_Siderophore_potential in P95-P99, Competition_Fe_ratio in P95-P99, and SOS_stress_signal in P95-P99, indicating strong iron-competition pressure together with a high ecosystem stress signal. At the same time, there are clear strengths, including Toxin_H2S_SRB in P0-P1 and Toxin_H2S_SRB_coloc in P0-P1, which are protective and argue against meaningful H2S-related mitochondrial inhibition in this sample. The overall pattern is therefore not one of global collapse, but of a microbiome with preserved support functions in several axes that is offset by selective toxin/competition/stress burdens.
Protective Findings
- SOD_to_Catalase_ratio (in P5-P25): protective balance of ROS handling, with less suggestion of H2O2 accumulation.
- Toxin_TMA_functional_coloc (in P1-P5): protective low functional TMA-complex signal, reducing confidence in a strongly organized TMA-producing configuration.
- Toxin_H2S_SRB (in P0-P1): protective, with minimal H2S-related potential for Complex IV inhibition.
- Toxin_H2S_SRB_coloc (in P0-P1): protective, with minimal evidence of a functionally complete H2S-producing configuration.
Axis Convergence & Cross-Axis Interactions — Convergence Summary (per-axis HIGH/LOW counts)
- AXIS A — Fuel: HIGH=1 (Fuel_Butyrate_CoA_Transferase in P75-P95), LOW=0 — mild supportive tilt on the fuel side, without full axis convergence.
- AXIS B — Antioxidant Shield: HIGH=2 (Antioxidant_SOD_Catalase_coloc in P75-P95; Antioxidant_GSH_biosynthesis in P75-P95), LOW=1 (SOD_to_Catalase_ratio in P5-P25, protective for this warning metric) — antioxidant architecture is broadly supportive, and the low ratio softens concern about peroxide handling.
- AXIS C — Toxin Potential: HIGH=2 (Toxin_TMA_potential in P75-P95; Toxin_LPS_hexa_acyl_coloc in P75-P95), LOW=3 (Toxin_TMA_functional_coloc in P1-P5; Toxin_H2S_SRB in P0-P1; Toxin_H2S_SRB_coloc in P0-P1) — mixed toxin axis with selective burden rather than uniform toxin elevation.
- AXIS D — Micronutrient Competition: HIGH=2 (Fe_Siderophore_potential in P95-P99; Competition_Fe_ratio in P95-P99), LOW=1 (Fe_Ferritin_buffer in P5-P25) — convergent iron-competition pressure is one of the strongest burden patterns in this profile.
- AXIS E — Cofactor Support: HIGH=2 (Cofactor_Q_ubiquinone_biosynthesis in P75-P95; Cofactor_PQQ_biosynthesis in P75-P95), LOW=0 — supportive cofactor orientation, though not fully global across all Axis E metrics.
- AXIS F — Polyphenol Metabolism: HIGH=1 (Polyphenol_metabolism_proxy in P75-P95), LOW=0 — supportive polyphenol-processing capacity.
- AXIS G — Ecosystem Stress / Repair: HIGH=1 (SOS_stress_signal in P95-P99), LOW=0 — stress signaling is elevated without matching high-band repair convergence.
- AXIS H — Composite Summaries: HIGH=0, LOW=0 — composite indices remain within IQR, suggesting that supportive and burden signals partially counterbalance each other at summary level.
Key Deviations (Outside P25-P75)
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- Toxin_TMA_potential (P75-P95): mild high-band TMA precursor potential, suggesting somewhat increased capacity for TMA-related mitochondrial burden.
- Toxin_LPS_hexa_acyl_coloc (P75-P95): mild high-band functional organization of pro-inflammatory hexa-acyl LPS potential.
- Fe_Siderophore_potential (P95-P99): very high iron-sequestration pressure, consistent with stronger microbial competition for iron.
- Competition_Fe_ratio (P95-P99): very high siderophore-favored iron balance; this is unfavorable and is reinforced by Fe_Siderophore_potential in P95-P99 together with Fe_Ferritin_buffer in P5-P25.
- SOS_stress_signal (P95-P99): very high ecosystem stress signaling, compatible with increased DNA-damage/stress-response activation.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- Fe_Ferritin_buffer (P5-P25): low-normal ferritin buffering, indicating relatively limited iron-buffering counterweight against siderophore pressure.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- SOD_to_Catalase_ratio (P5-P25): protective low ratio, suggesting more balanced H2O2 handling rather than SOD-dominant peroxide accumulation.
- Toxin_TMA_functional_coloc (P1-P5): very low functional TMA-complex colocalization, which is protective despite Toxin_TMA_potential being mildly high.
- Toxin_H2S_SRB (P0-P1): extremely low H2S-producing potential, protective against H2S-related inhibition of mitochondrial respiration.
- Toxin_H2S_SRB_coloc (P0-P1): extremely low functional H2S colocalization, further supporting minimal H2S burden.
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- Fuel_Butyrate_CoA_Transferase (P75-P95): robust butyrate-production support on the dominant CoA-transferase pathway, favorable for colonocyte fuel supply.
- Antioxidant_SOD_Catalase_coloc (P75-P95): strong coordinated antioxidant colocalization, supporting more complete ROS handling.
- Antioxidant_GSH_biosynthesis (P75-P95): robust glutathione-biosynthesis support for redox buffering.
- Se_selenoprotein_machinery (P75-P95): supportive selenium-related machinery, relevant to antioxidant enzyme context.
- Cofactor_Q_ubiquinone_biosynthesis (P75-P95): supportive ubiquinone-related cofactor potential.
- Cofactor_PQQ_biosynthesis (P75-P95): supportive PQQ biosynthesis potential, consistent with antioxidant/cofactor support.
- Polyphenol_metabolism_proxy (P75-P95): robust polyphenol-processing proxy, supportive for broader redox-active substrate handling.
Axis Convergence & Cross-Axis Interactions
The most important interaction in this profile is the contrast between supportive antioxidant/cofactor features and burden signals in iron competition and ecosystem stress. On the supportive side, Antioxidant_SOD_Catalase_coloc, Antioxidant_GSH_biosynthesis, Cofactor_Q_ubiquinone_biosynthesis, Cofactor_PQQ_biosynthesis, and Polyphenol_metabolism_proxy all sit in P75-P95, indicating that this microbiome retains meaningful capacity to contribute redox and cofactor support.
However, that support is counterweighted by a concentrated burden pattern in Axis D: Fe_Siderophore_potential in P95-P99 together with Competition_Fe_ratio in P95-P99 and Fe_Ferritin_buffer in P5-P25 creates a coherent iron-competition signature. This means the ecosystem is not simply “high activity”; it is specifically shifted toward iron capture rather than iron buffering.
Axis C is mixed rather than uniformly adverse. Toxin_TMA_potential in P75-P95 and Toxin_LPS_hexa_acyl_coloc in P75-P95 suggest some toxin-related pressure, but this is moderated by strongly protective H2S findings and by Toxin_TMA_functional_coloc in P1-P5, which weakens the case for a fully organized TMA-producing burden. Axis G adds an important overlay: SOS_stress_signal in P95-P99 indicates that despite preserved support functions, the ecosystem is operating under notable stress.
Composite Index Analysis
The composite indices MSI_proxy and LMS_proxy both remain within P50-P75, which is an important stabilizing observation. This means that when fuel, antioxidant support, toxins, competition, cofactors, polyphenol metabolism, and resilience are integrated, the overall profile does not collapse into a low composite state.
At the same time, the normal composite position should not be over-read as “no issue present.” In this sample, the composites appear to be masking a mixed pattern: several high-band strengths are offsetting several high-band burdens. The same applies to Toxin_Score_proxy, which remains in P50-P75 despite divergence among toxin components—particularly protective H2S findings coexisting with higher TMA/LPS-related signals. Likewise, Oxidative_resilience_proxy in P50-P75 suggests partial compensation: antioxidant and repair resources are present, but they are not fully overcoming the elevated SOS_stress_signal.
Clinical Picture (Functional Hypothesis)
Functionally, this profile fits an active but burdened archetype. The microbiome appears capable of acting as a meaningful external metabolic partner in several domains: butyrate-related fuel support is present, antioxidant coordination is relatively strong, cofactor support is favorable, and polyphenol metabolism is above the interquartile range. This is not a low-capacity ecosystem.
The limiting issue is that these supportive functions coexist with a more concentrated burden signature centered on iron competition and stress signaling. The combination of Fe_Siderophore_potential in P95-P99, Competition_Fe_ratio in P95-P99, and SOS_stress_signal in P95-P99 suggests an ecosystem that may be metabolically active but not entirely cooperative from the host perspective. Toxin burden is selective rather than global: H2S-related burden looks strongly minimized, while TMA- and LPS-related organization shows mild elevation. Overall, the functional picture is one of preserved support capacity with specific competitive and stress-related friction points.
Within Normal Range (P25-P75)
- Fuel_Butyrate_Kinase_Pathway (P25-P50): within expected range.
- Fuel_Score_proxy (P50-P75): overall fuel summary remains within the normal range.
- Antioxidant_SOD_total (P50-P75): within expected range.
- Antioxidant_Catalase_total (P50-P75): within expected range.
- Antioxidant_GPx (P25-P50): within expected range.
- ACI_mito_proxy (P50-P75): antioxidant composite remains within the normal range.
- Toxin_LPS_hexa_acyl (P50-P75): within expected range.
- Toxin_Score_proxy (P50-P75): integrated toxin summary remains within the normal range.
- Zn_uptake_potential (P25-P50): within expected range.
- Zn_uptake_coloc (P25-P50): within expected range.
- Cofactor_K2_menachinone_biosynthesis (P25-P50): within expected range.
- NAD_biosynthesis (P50-P75): within expected range.
- NAD_degradation_risk (P50-P75): within expected range.
- NAD_balance (P50-P75): synthesis/degradation balance remains within expected range.
- DNA_repair_BER (P50-P75): within expected range.
- Protein_repair_MSR (P25-P50): within expected range.
- Oxidative_resilience_proxy (P50-P75): integrated resilience remains within the normal range.
- MSI_proxy (P50-P75): overall microbiome-mitochondria support index remains within the normal range.
- LMS_proxy (P50-P75): broader longevity-support composite remains within the normal range.
Clinical Correlation Considerations
- Correlate the iron-competition pattern with host iron-related context if clinically relevant, because the strongest burden signal in this basket is concentrated in Fe_Siderophore_potential and Competition_Fe_ratio.
- Correlate the elevated SOS_stress_signal with broader markers of gut ecosystem stress or inflammatory pressure if available.
- The toxin picture is selective, not global: H2S-related burden appears strongly minimized, while TMA/LPS-related signals are only partly elevated.
- Because composite indices remain in P50-P75, single-axis burdens may be clinically more informative here than relying only on summary scores.
- Routine follow-up should focus on whether this mixed pattern persists over time rather than assuming a uniformly adverse microbiome state.
Interpretation Caveats
- This is a report of predicted gene potential from PICRUSt2, not direct measurement of metabolites, toxins, cofactors, or host mitochondrial function.
- Composite indices can mask divergence: normal MSI_proxy or LMS_proxy does not exclude important opposing signals in individual axes.
- SOD_to_Catalase_ratio and Competition_Fe_ratio are ratio-style metrics and should always be interpreted in the context of their component bands, not in isolation.
- Some pathways in this basket are zero-inflated in the reference cohort; for those, non-detection can reflect normal biology rather than deficiency
| Organism | Abundance | Fuel_Butyrate_CoA_Transferase | Fuel_Butyrate_Kinase_Pathway | Fuel_Score_proxy | Antioxidant_SOD_total | Antioxidant_Catalase_total | Antioxidant_SOD_Catalase_coloc | Antioxidant_GPx | Antioxidant_GSH_biosynthesis | ACI_mito_proxy | SOD_to_Catalase_ratio | Toxin_TMA_potential | Toxin_TMA_functional_coloc | Toxin_LPS_hexa_acyl | Toxin_LPS_hexa_acyl_coloc | Toxin_H2S_SRB | Toxin_H2S_SRB_coloc | Toxin_Score_proxy | Fe_Siderophore_potential | Fe_Ferritin_buffer | Competition_Fe_ratio | Zn_uptake_potential | Zn_uptake_coloc | Se_selenoprotein_machinery | Cofactor_Q_ubiquinone_biosynthesis | Cofactor_K2_menachinone_biosynthesis | Cofactor_PQQ_biosynthesis | NAD_biosynthesis | NAD_degradation_risk | NAD_balance | Polyphenol_metabolism_proxy | DNA_repair_BER | SOS_stress_signal | Protein_repair_MSR | Oxidative_resilience_proxy | MSI_proxy | LMS_proxy |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P75-P95 | P25-P50 | P50-P75 | P50-P75 | P50-P75 | P75-P95 | P25-P50 | P75-P95 | P50-P75 | P5-P25 | P75-P95 | P1-P5 | P50-P75 | P75-P95 | P0-P1 | P0-P1 | P50-P75 | P95-P99 | P5-P25 | P95-P99 | P25-P50 | P25-P50 | P75-P95 | P75-P95 | P25-P50 | P75-P95 | P50-P75 | P50-P75 | P50-P75 | P75-P95 | P50-P75 | P95-P99 | P25-P50 | P50-P75 | P50-P75 | P50-P75 | ||
| Escherichia coli | 126157.556 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||
| Blautia wexlerae | 57203.197 | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||||||||||||
| Faecalibacterium prausnitzii | 51769.771 | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||||||||||||||
| Obesumbacterium proteus | 32448.069 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | ||||||||||||
| Hafnia alvei | 28855.537 | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||||||
| Blautia sp. | 7844.577 | + | + | + | + | + | + | + | |||||||||||||||||||||||||||||
| Anthropogastromicrobium aceti | 5583.536 | + | + | + | + | + | + | + | |||||||||||||||||||||||||||||
| Roseburia inulinivorans | 5374.776 | + | + | + | + | + | + | ||||||||||||||||||||||||||||||
| Faecalibacterium sp. | 2978.717 | + | + | + | + | + | + | ||||||||||||||||||||||||||||||
| Fusicatenibacter saccharivorans | 2212.227 | + | |||||||||||||||||||||||||||||||||||
| Ruminococcus bromii | 2170.683 | + | + | ||||||||||||||||||||||||||||||||||
| Roseburia faecis | 1819.634 | + | + | ||||||||||||||||||||||||||||||||||
| Gallintestinimicrobium propionicum | 706.251 | + | + | + | + | ||||||||||||||||||||||||||||||||
| Haemophilus parainfluenzae | 669.900 | + | + | + | + | + | + | ||||||||||||||||||||||||||||||
| Lachnospiraceae bacterium MC_36 | 586.811 | + | + | ||||||||||||||||||||||||||||||||||
| Anaerostipes hadrus | 498.530 | + | + | ||||||||||||||||||||||||||||||||||
| Bacteroides uniformis | 373.897 | + | + | ||||||||||||||||||||||||||||||||||
| Salmonella sp. | 331.917 | + | + | + | + | + | + | + | |||||||||||||||||||||||||||||
| Parabacteroides sp. | 317.813 | + | + | + | |||||||||||||||||||||||||||||||||
| Phocaeicola vulgatus | 204.034 | + | + | + | |||||||||||||||||||||||||||||||||
| Roseburia sp. 1120 | 130.864 | + | |||||||||||||||||||||||||||||||||||
| Shigella sp. | 99.259 | + | + | ||||||||||||||||||||||||||||||||||
| Bacteroides fragilis | 41.544 | + | |||||||||||||||||||||||||||||||||||
| Roseburia intestinalis | 39.467 | + | |||||||||||||||||||||||||||||||||||
| Clostridium saudiense | 36.351 | + | |||||||||||||||||||||||||||||||||||
| Lachnospiraceae bacterium | 29.081 | + | |||||||||||||||||||||||||||||||||||
| Sellimonas sp. | 20.772 | + | |||||||||||||||||||||||||||||||||||
| Lacrimispora sphenoides | 1.392 | + | |||||||||||||||||||||||||||||||||||
| Clostridium sp. Marseille-P2415 | 0.353 | + | |||||||||||||||||||||||||||||||||||
| Clostridium sp. | 0.353 | + |
Basket Analysis
Methodological Note
This report interprets PICRUSt2-predicted metabolic potential, meaning it estimates what the microbiome could do functionally based on gene-content prediction from 16S-derived profiles, rather than measuring bile acids or estrogens directly. All findings are expressed as percentile bands versus a reference cohort of n=623 samples. Several pathways in this basket are zero-inflated in the reference cohort, so for those pathways an “absent” result can represent normal biology rather than deficiency.
Executive Summary
- This basket shows MINOR VARIATION: the overall pattern is fairly balanced, with only two extreme outliers in active percentile-scored metrics.
- HSDH_3beta_Activity is in P0-P1, which means the backup 3β-HSDH bile-acid detoxification route is not detected in this profile.
- HSD17B_Activity is in P0-P1, indicating no detectable microbial E1↔E2 interconversion signal in this dataset; this is a context finding rather than a standalone adverse signal.
- At the same time, several supportive features are present: HSDH_7alpha_Total, HSDH_Total_Modulation, and BA_Metabolism_Health_Score are all in P75-P95, suggesting preserved bile-acid modulation capacity overall.
Key Deviations (Outside P25-P75)
No unfavorable extreme-high findings are present, but there are two favorable/contextual extreme-low binary-edge findings and several mild non-IQR variations listed below.
(a) WARNING / risk in HIGH band — UNFAVORABLE direction.
- Total_Bai_Activity (P75-P95): mildly above the interquartile range, suggesting somewhat increased overall secondary bile-acid production potential.
- Secondary_BA_Risk_Score (P75-P95): mildly elevated relative to the cohort, consistent with somewhat more efficient bai-linked conversion potential once substrate is available.
- CRC_Risk_Composite (P75-P95): mildly above the interquartile range, reflecting the combined influence of bai-related production markers rather than a direct disease readout.
- HIGH_DCA_LCA_RISK_FLAG (P75-P95): mild upward shift in the linked risk-signature band, consistent with some secondary bile-acid pressure but not an extreme signal.
(b) BENEFICIAL in LOW band — REDUCED-SUPPORT direction.
- HSDH_3beta_Activity (P0-P1): binary absent semantics — backup detoxification of secondary bile acids is not detected in this profile; common in a zero-inflated pathway, but it reduces redundancy of protection.
- HSD17B_Activity (P0-P1): binary absent semantics — microbial E1↔E2 interconversion is not detected; this is mainly a contextual low-signal finding.
(c) WARNING / risk in LOW band — PROTECTIVE / favorable direction.
- Bai_Operon_Proxy_KO_EC (P0-P1): very low proxy signal is favorable, suggesting minimal baiB-like proxy support for secondary bile-acid production.
- Arylsulfatase_Activity (P5-P25): low-normal sulfate deconjugation potential is favorable, limiting one route of estrogen reactivation.
- Total_Estrobolome_Activity (P5-P25): low overall estrobolome activity is favorable, suggesting restrained estrogen deconjugation potential.
- Estrobolome_Deconjugation_Power (P5-P25): low integrated deconjugation capacity is favorable, indicating limited combined glucuronide/sulfate estrogen reactivation pressure.
- HIGH_ESTROBOLOME_FLAG (P5-P25): low-band placement is favorable, indicating that the high-estrobolome signature is not active.
(d) BENEFICIAL in HIGH band — STRENGTH / favorable direction.
- Bai_Operon_Direct_Genes (P75-P95): direct bai gene signal is mildly elevated, indicating some encoded capacity for secondary bile-acid transformation.
- HSDH_7alpha_Total (P75-P95): robust 7α-HSDH potential supports reversible bile-acid modulation and partial detoxification buffering.
- HSDH_Total_Modulation (P75-P95): combined HSDH capacity is high-normal, supporting overall bile-acid modulation flexibility.
- BA_Metabolism_Health_Score (P75-P95): high-normal composite balance favors a healthier bile-acid modulation profile overall.
Axis Convergence & Cross-Axis Interactions
The BSH × bai pattern is best described as ACTIVE: BSH_Gatekeeper_Index is in P25-P50 and Bai_Functional_Colocalized is in P25-P50, meaning substrate access is present and the bai pathway is not absent. However, the bai signal is mixed in strength: the most reliable functional colocalization marker sits in the interquartile range, while Bai_Operon_Direct_Genes and related integrated bai metrics are mildly elevated, so the profile suggests some operational secondary bile-acid potential, but not a strongly amplified one.
On the detoxification side, HSDH compensation is relatively supportive. HSDH_7alpha_Total and HSDH_Total_Modulation are both in P75-P95, which helps buffer bai-associated pressure, and this is consistent with the Bai_vs_HSDH_Ratio remaining in P25-P50 rather than shifting toward a production-dominant pattern. The main limitation is that HSDH_3beta_Activity is not detected, so the backup iso-bile-acid route is missing even though the broader HSDH layer is preserved.
The estrobolome axis is relatively quiet. GUS_Estrobolome_Total is in P25-P50, Arylsulfatase_Activity is in P5-P25, and both Total_Estrobolome_Activity and Estrobolome_Deconjugation_Power are in P5-P25. HSD17B_Activity is not detected, further supporting a lower overall estrogen-reactivation pattern in this sample.
Composite signals are concordant with this mixed-but-buffered picture: the bile-acid side shows mild upward pressure, while the estrobolome side remains subdued.
Composite Index Analysis
Composite metrics in this basket generally support a buffered bile-acid profile with low estrobolome pressure.
- Secondary_BA_Risk_Score (P75-P95): mildly elevated, indicating that bai-related conversion potential is somewhat above the cohort middle once BSH gate access is available.
- CRC_Risk_Composite (P75-P95): also mildly elevated, driven by the same bai-linked features; this is a functional signature, not a diagnosis.
- BA_Metabolism_Health_Score (P75-P95): high-normal and favorable, showing that HSDH-linked modulation still offsets part of the bai-associated burden.
- Total_Estrobolome_Activity (P5-P25) and Estrobolome_Deconjugation_Power (P5-P25): both sit in a favorable low band, indicating restrained estrogen deconjugation potential.
- Breast_Cancer_Risk_Estrobolome (P25-P50): remains within the interquartile range, which is consistent with the absence of a dominant estrobolome signal.
Clinical Picture (Functional Hypothesis)
The dominant functional pattern is a mildly active secondary bile-acid profile that appears HSDH-buffered. BSH gatekeeping is in the interquartile range, so substrate access is adequate rather than restricted. bai-related production markers show some upward shift, but the strongest adverse interpretation is softened by the fact that Bai_Functional_Colocalized remains in P25-P50 and the Bai_vs_HSDH_Ratio is also in P25-P50.
The protective side of the picture comes from HSDH_7alpha_Total, HSDH_Total_Modulation, and BA_Metabolism_Health_Score in P75-P95, suggesting preserved capacity to modulate bile-acid toxicity. The main caveat is the absence of HSDH_3beta_Activity, which means the backup detoxification route is not contributing. In parallel, the estrobolome pattern is low-activity to quiet, with low-band integrated estrogen deconjugation metrics and no detectable HSD17B_Activity. Overall, this is more consistent with minor functional variation than with broad dysregulation.
Within Normal Range (P25-P75)
The remaining markers are largely within the expected reference range, supporting a generally stable functional background.
- BSH_Total_Activity (P25-P50): adequate baseline bile salt hydrolase capacity.
- BSH_Gatekeeper_Index (P25-P50): balanced gatekeeper function for bile-acid substrate access.
- Bai_Functional_Colocalized (P25-P50): functional bai colocalization signal is present but not amplified.
- Bai_vs_HSDH_Ratio (P25-P50): balanced relationship between production and modulation arms.
- GUS_Estrobolome_Total (P25-P50): glucuronide deconjugation potential is within the cohort middle range.
- BSH_GUS_Dual_Deconjugator (P25-P50): cross-domain dual deconjugation potential is not unusually expanded.
- Breast_Cancer_Risk_Estrobolome (P25-P50): integrated estrobolome-related composite remains in the reference middle range.
- SIBO_SUSPECTED_FLAG (P25-P50): no elevated small-intestinal over-deconjugation signature.
- LOW_FXR_SIGNALING_FLAG (P25-P50): no low-FXR signaling pattern is suggested by this basket.
Clinical Correlation Considerations
- Routine follow-up is generally sufficient; this basket does not suggest urgent functional disruption.
- If there is clinical interest in bile-acid handling, correlation with stool or serum bile-acid profiling may help clarify whether the mild bai-related signal translates into measurable DCA/LCA burden.
- If there are symptoms suggestive of fat malabsorption or altered enterohepatic signaling, standard clinical correlation can include lipid profile, liver markers, and digestive symptom review, although this basket alone does not strongly point to those issues.
- No specific estrobolome-focused escalation is suggested from this profile, as the integrated estrogen deconjugation markers are low to mid-range.
Interpretation Caveats
- PICRUSt2 predicts functional potential, not actual metabolite levels. These findings do not directly measure DCA, LCA, estrogen metabolites, or host hormone exposure.
- Reliability differs across bai markers. For narrative weighting, Bai_Functional_Colocalized > Bai_Operon_Direct_Genes > Bai_Operon_Proxy_KO_EC, even though all are reported individually.
- Composite metrics are weighted constructs. BA_Metabolism_Health_Score, Estrobolome_Deconjugation_Power, CRC_Risk_Composite, and Breast_Cancer_Risk_Estrobolome can move because of one dominant component rather than uniform change across the whole axis.
- HSDH_3beta_Activity and HSD17B_Activity are binary-style capped metrics. Detection status reflects presence/absence of signal, not quantitative magnitude.
- Reference comparison is cohort-based. All bands are relative to n=623 samples, so percentile placement reflects position within that population rather than an absolute physiological threshold.
- Variation within a band still exists. A marker in P75-P95 is a mild high variation, not automatically a clinical problem, and a marker in P5-P25 is a mild low variation, not automatically a deficiency.
| Organism | Abundance | BSH_Total_Activity | BSH_Gatekeeper_Index | Bai_Operon_Proxy_KO_EC | Bai_Operon_Direct_Genes | Bai_Functional_Colocalized | Total_Bai_Activity | Secondary_BA_Risk_Score | HSDH_7alpha_Total | HSDH_3beta_Activity | HSDH_Total_Modulation | Bai_vs_HSDH_Ratio | GUS_Estrobolome_Total | Arylsulfatase_Activity | HSD17B_Activity | Total_Estrobolome_Activity | Estrobolome_Deconjugation_Power | BSH_GUS_Dual_Deconjugator | CRC_Risk_Composite | Breast_Cancer_Risk_Estrobolome | HIGH_DCA_LCA_RISK_FLAG | SIBO_SUSPECTED_FLAG | LOW_FXR_SIGNALING_FLAG | HIGH_ESTROBOLOME_FLAG | BA_Metabolism_Health_Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P25-P50 | P25-P50 | P0-P1 | P75-P95 | P25-P50 | P75-P95 | P75-P95 | P75-P95 | P0-P1 | P75-P95 | P25-P50 | P25-P50 | P5-P25 | P0-P1 | P5-P25 | P5-P25 | P25-P50 | P75-P95 | P25-P50 | P75-P95 | P25-P50 | P25-P50 | P5-P25 | P75-P95 | ||
| Blautia wexlerae | 57203.197 | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||
| Faecalibacterium prausnitzii | 39261.353 | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||
| Blautia sp. | 23197.222 | + | + | + | + | + | + | + | + | + | + | + | + | + | |||||||||||
| Escherichia coli | 17765.842 | + | + | + | + | + | + | + | + | + | + | ||||||||||||||
| Faecalibacterium sp. | 13908.986 | + | + | + | + | + | |||||||||||||||||||
| Ruminococcus bromii | 6499.584 | + | + | + | + | + | + | ||||||||||||||||||
| [Eubacterium] rectale | 6226.847 | + | + | + | + | + | + | + | + | + | |||||||||||||||
| Roseburia faecis | 3639.269 | + | + | + | + | ||||||||||||||||||||
| Fusicatenibacter saccharivorans | 2875.895 | + | + | + | + | + | + | ||||||||||||||||||
| Bacteroides uniformis | 2181.069 | + | + | + | + | + | + | ||||||||||||||||||
| Lachnospiraceae bacterium | 1607.759 | + | + | + | + | + | + | ||||||||||||||||||
| Lachnospira eligens | 411.287 | + | + | ||||||||||||||||||||||
| Parabacteroides sp. | 317.813 | + | |||||||||||||||||||||||
| Bacteroides fragilis | 257.574 | + | |||||||||||||||||||||||
| Blautia faecis | 251.342 | + | + | ||||||||||||||||||||||
| Parabacteroides distasonis | 177.601 | + | |||||||||||||||||||||||
| Oscillospiraceae bacterium | 155.791 | + | |||||||||||||||||||||||
| Lactobacillus rogosae | 139.173 | + | |||||||||||||||||||||||
| [Clostridium] scindens | 1.039 | + | |||||||||||||||||||||||
| Ruminococcus sp. 653 | 1.039 | + |
Basket Analysis
Methodological Note
This report interprets PICRUSt2-predicted substrate metabolism potential of the gut microbial community, benchmarked against a reference cohort of n=623 samples. These results reflect predicted gene-content capacity for handling dietary substrates, not direct measurement of fermentation in the body. They do not diagnose food allergy, intolerance, or host digestive enzyme status.
Executive Dietary Summary
Capacity Profile: SPECIALIZED. This microbiome shows a clear food-handling pattern with several standout strengths and a few transition areas that benefit from more deliberate food formatting.
- Dominant strengths: very strong handling of resistant starch and general prebiotic fibers, both in P95-P99. Additional strengths are present for cruciferous vegetables, phytoestrogens, and equol production, all in P75-P95.
- Main transition points: more modest microbial support for lactose and broader dairy processing, both in P5-P25. These foods are not excluded, but cultured, lower-lactose, or smaller-portion formats are a better fit.
- Barrier flag: Mucin_Degradation_Risk is in P5-P25, which is a favorable mucin-sparing pattern rather than a barrier warning.
Key Substrate Capacities (Outliers Outside P25-P75)
Fiber & Polysaccharide
- Resistant_Starch_Index — P95-P99 — Markedly elevated
Substrate: RS2/RS3 resistant starches.
Dietary action: favor cooked-and-cooled potatoes, green or just-ripe bananas, cooked-cooled rice, cooked legumes, and raw oats. This is one of the strongest metabolic fits in the profile. - Prebiotic_Fiber_Score — P95-P99 — Markedly elevated
Substrate: FOS, GOS, inulin, and broader prebiotic fibers.
Dietary action: favor chicory root, Jerusalem artichoke, garlic, onion, leek, asparagus, dandelion greens. This community appears highly ready for prebiotic-rich foods.
Polyphenol & Phytochemicals
- Cruciferous_Activation_Score — P75-P95 — Above-typical
Substrate: glucosinolates from cruciferous vegetables.
Dietary action: favor broccoli, cauliflower, kale, Brussels sprouts, cabbage, watercress, radish, and arugula. The microbiome appears well-equipped to activate these compounds. - Phytoestrogen_Score — P75-P95 — Above-typical
Substrate: lignans and isoflavones broadly.
Dietary action: favor flaxseed, sesame, soy, kudzu, red clover, and legumes broadly. This is a meaningful plant-bioactive strength. - Equol_Producer_Index — P75-P95 — Above-typical
Substrate: soy isoflavones with conversion toward equol.
Dietary action: favor tempeh, edamame, soy milk, and miso. Soy foods are likely to provide stronger downstream bioactivity than in a typical non-producer profile.
Dairy & Fat
- Lactose_Adaptation_Index — P5-P25 — Below-typical
Substrate: lactose on the microbial side.
Dietary action: introduce gradually; prefer lactose-free dairy, hard cheeses, kefir, and yoghurt over fresh milk. This does not assess host lactase status. - Dairy_Processing_Score — P5-P25 — Below-typical
Substrate: broader dairy proteins and non-lactose dairy components.
Dietary action: introduce gradually; use smaller portions and consider oat, almond, or soy alternatives when needed.
Mucin Risk
- Mucin_Degradation_Risk — P5-P25 — Below-typical risk
Substrate: endogenous mucin glycans rather than a food group.
Dietary action: current pattern is favorable from a mucin-sparing perspective. No barrier-driven need for aggressive fiber escalation is signaled by this metric.
Substrate-by-Substrate Capacity Map
| Metric | Pct | Capacity | Foods to favour | Foods to introduce gradually / alternatives |
|---|---|---|---|---|
| Arabinoxylan_Full_Capacity_Score | P50-P75 | Typical | Whole rye, wheat bran, barley, oats, sourdough whole-grain bread, brown rice, einkorn/spelt | No special restriction needed; standard whole-grain formats are reasonable |
| Resistant_Starch_Index | P95-P99 | Very strong capacity | Cooked-and-cooled potatoes, green/just-ripe bananas, cooked-cooled rice, cooked legumes, raw oats | No special limitation needed; standard portions are a strong fit |
| Prebiotic_Fiber_Score | P95-P99 | Very strong capacity | Chicory root, Jerusalem artichoke, garlic, onion, leek, asparagus, dandelion greens | No special limitation needed; can use a broad prebiotic-fiber range |
| Cereal_Grain_Score | P50-P75 | Typical | Rye, oats, barley, sorghum, millet | No special restriction needed; standard grain diversity is reasonable |
| Legume_Fermentation_Capacity | P50-P75 | Typical | Lentils, chickpeas, black beans, edamame | No special restriction needed; standard preparation is acceptable |
| Polyphenol_Activation_Score | P50-P75 | Typical | Berries, dark chocolate (≥70%), green tea, red wine in moderation, extra-virgin olive oil, pomegranate | No special restriction needed; variety is appropriate |
| Cruciferous_Activation_Score | P75-P95 | Strong capacity | Broccoli, cauliflower, kale, Brussels sprouts, cabbage, watercress, radish, arugula | No special limitation needed; these are a favorable fit |
| Phytoestrogen_Score | P75-P95 | Strong capacity | Flaxseed, sesame, soy, kudzu, red clover, legumes broadly | No special limitation needed; these are a favorable fit |
| Equol_Producer_Index | P75-P95 | Strong capacity | Tempeh, edamame, soy milk, miso | No special limitation needed; soy is likely to be biologically productive |
| Lactose_Adaptation_Index | P5-P25 | Modest capacity | Yoghurt, kefir, hard aged cheeses, lactose-free dairy | Fresh milk in smaller portions; prefer cultured or low-lactose forms first |
| Dairy_Processing_Score | P5-P25 | Modest capacity | Smaller portions of dairy if used; oat, almond, soy alternatives | Larger dairy portions; use gradual introduction and assess tolerance clinically |
| Healthy_Fat_Conversion_Score | P50-P75 | Typical | Fatty fish, walnuts, flaxseed oil, chia, extra-virgin olive oil | No special restriction needed; standard healthy-fat pattern is reasonable |
| Mucin_Degradation_Risk | P5-P25 | Favorable mucin-sparing pattern | Current fiber pattern appears supportive | No barrier-driven change required from this metric alone |
Substrate Pattern Analysis
This is best described as a plant-forward fermentation engine with selective dairy modesty. The strongest signal is the combination of Resistant_Starch_Index in P95-P99 and Prebiotic_Fiber_Score in P95-P99, suggesting excellent readiness for fermentable plant substrates. That pattern is reinforced by Cruciferous_Activation_Score, Phytoestrogen_Score, and Equol_Producer_Index in P75-P95, which points toward good activation of several protective plant compounds. Grain and legume handling are not extreme, but remain comfortably typical in P50-P75. The main contrast is dairy, where both Lactose_Adaptation_Index and Dairy_Processing_Score sit in P5-P25, suggesting dairy is less of a microbial strength than plant fibers and soy-related substrates. Mucin_Degradation_Risk in P5-P25 is reassuring and does not suggest a mucin-foraging shift.
Within Normal Range (P25-P75)
The following substrates are broadly tolerated and within the normal dietary handling range, with no special considerations needed based on this basket alone:
- Arabinoxylan_Full_Capacity_Score — P50-P75
- Cereal_Grain_Score — P50-P75
- Legume_Fermentation_Capacity — P50-P75
- Polyphenol_Activation_Score — P50-P75
- Healthy_Fat_Conversion_Score — P50-P75
Most Coherent Dietary Hypothesis (Functional Pattern)
The best-fit pattern here is a plant-forward, fiber-rich Mediterranean-style diet with soy inclusion and selective dairy formatting. This microbiome appears especially well-suited to resistant starch and prebiotic fibers, so meals built around cooled starches, allium vegetables, asparagus-type fibers, and diverse plant matter are likely to be metabolically productive. The additional strength in cruciferous activation supports regular inclusion of broccoli-family vegetables. The combination of Phytoestrogen_Score and Equol_Producer_Index in P75-P95 suggests soy foods may be a particularly good fit within this pattern. Whole grains and legumes appear broadly workable rather than exceptional, so they can remain part of the base diet without needing special emphasis. Dairy is the main area where formatting matters more: cultured, lower-lactose, or smaller-portion options fit better than relying heavily on fresh milk. Overall, this profile supports dietary expansion through plants more than through dairy.
Considerations for Dietary Personalization
- Lean into resistant starch foods given Resistant_Starch_Index in P95-P99 (this is a major fermentation strength, so cooked-and-cooled potatoes, cooked-cooled rice, green or just-ripe bananas, and raw oats are strong fits).
- Use a broad prebiotic-fiber rotation given Prebiotic_Fiber_Score in P95-P99 (garlic, onion, leek, asparagus, chicory root, Jerusalem artichoke, and dandelion greens are likely to be well supported).
- Include cruciferous vegetables regularly given Cruciferous_Activation_Score in P75-P95 (broccoli, cauliflower, kale, Brussels sprouts, cabbage, watercress, radish, and arugula are favorable choices).
- Use soy strategically given Equol_Producer_Index in P75-P95 and Phytoestrogen_Score in P75-P95 (tempeh, edamame, soy milk, miso, flaxseed, and sesame may provide above-typical bioactive benefit).
- Format dairy more carefully given Lactose_Adaptation_Index in P5-P25 and Dairy_Processing_Score in P5-P25 (prefer kefir, yoghurt, hard cheeses, lactose-free dairy, or plant alternatives rather than large fresh-milk exposures).
Patient & Caregiver Summary (Plain-Language)
Your microbial community looks especially well-equipped for plant fibers. Foods like cooled potatoes or rice, green bananas, garlic, onion, leek, asparagus, broccoli, kale, flaxseed, and soy foods such as tempeh or edamame are a strong fit for this microbiome. Whole grains and legumes also look generally workable. The main area to go more gently with is dairy: fresh milk may be less well supported than kefir, yoghurt, hard cheeses, or lactose-free options. This does not mean dairy is forbidden, only that the microbial side of digestion looks more modest there. Your barrier-related mucin marker is reassuring, so there is no sign here of a strong fiber-deficit pattern. Overall, this report suggests a flexible, plant-rich eating pattern is likely to match your microbiome well.
WEED / SEED / FEED Integration Hook
FEED_PRIORITY: - substrate: resistant starch; foods: cooked-and-cooled potatoes, cooked-cooled rice, green/just-ripe bananas; rationale: Resistant_Starch_Index + P95-P99 - substrate: prebiotic fibers; foods: garlic, onion, leek; rationale: Prebiotic_Fiber_Score + P95-P99 - substrate: cruciferous glucosinolates; foods: broccoli, kale, Brussels sprouts; rationale: Cruciferous_Activation_Score + P75-P95 - substrate: phytoestrogens / soy isoflavones; foods: tempeh, edamame, miso; rationale: Phytoestrogen_Score + P75-P95 and Equol_Producer_Index + P75-P95 FEED_TRANSITION: - substrate: lactose / dairy; foods: kefir, yoghurt, hard cheeses; rationale: Lactose_Adaptation_Index + P5-P25 - substrate: broader dairy processing; foods: oat milk, almond milk, soy milk; rationale: Dairy_Processing_Score + P5-P25
Interpretation Caveats
- PICRUSt2-predicted gene-content capacity, not direct fermentation measurements.
- Reference cohort: n=623 samples (>600).
- Host-side digestion (for example lactase persistence, bile acid status, pancreatic enzymes) is not measured here.
- Equ
| Organism | Abundance | Arabinoxylan_Full_Capacity_Score | Equol_Producer_Index | Lactose_Adaptation_Index | Resistant_Starch_Index | Prebiotic_Fiber_Score | Cereal_Grain_Score | Legume_Fermentation_Capacity | Dairy_Processing_Score | Mucin_Degradation_Risk | Polyphenol_Activation_Score | Cruciferous_Activation_Score | Phytoestrogen_Score | Healthy_Fat_Conversion_Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P50-P75 | P75-P95 | P5-P25 | P95-P99 | P95-P99 | P50-P75 | P50-P75 | P5-P25 | P5-P25 | P50-P75 | P75-P95 | P75-P95 | P50-P75 | ||
| Blautia wexlerae | 102272.383 | + | + | + | + | + | + | + | + | + | + | + | ||
| Faecalibacterium prausnitzii | 71493.278 | + | + | + | + | + | + | + | + | + | + | |||
| Blautia sp. | 29321.871 | + | + | + | + | + | + | + | + | + | ||||
| Escherichia coli | 20926.252 | + | + | + | + | + | + | |||||||
| Ruminococcus bromii | 16278.042 | + | + | + | + | + | + | |||||||
| Roseburia faecis | 9553.080 | + | + | + | + | + | + | + | ||||||
| Fusicatenibacter saccharivorans | 7300.348 | + | + | + | + | |||||||||
| Faecalibacterium sp. | 7035.504 | + | + | + | + | |||||||||
| Obesumbacterium proteus | 3165.665 | + | + | + | ||||||||||
| Anthropogastromicrobium aceti | 1595.296 | + | ||||||||||||
| Phocaeicola vulgatus | 979.362 | + | ||||||||||||
| Bacteroides fragilis | 955.516 | + | ||||||||||||
| Roseburia inulinivorans | 687.556 | + | + |
