Unique gut microbiome signatures associated with physical and cognitive function
Bibliographic record
Abstract
Abstract Background Emerging studies suggest the interaction of the gut microbiome with physical and cognitive function. However, it remains unknown whether the same microbiome is linked with both functions and/or if they are unique. Method Utilizing data and samples from the Microbiome in Aging Gut and Brain (MiaGB) Consortium cohort, we assessed the whole genome gut microbiome metagenomics in 113 older adults (mean age 72 years [39 male and 74 female]) with high and low physical functions (measured using Short Physical Performance Battery [SPPB]) and cognitive function (measure using Montreal Cognitive Assessment [MoCA]). Based on the SPPB score, participants were categorized into low (score: 3‐9) and high (score: 10‐12) physical function groups, while based on MoCA score, mild cognitive impaired (MCI; MoCA:18‐25) and cognitively healthy (MoCA: 26‐30). Result We observed the presence of distinct and specific microbiome signatures that are uniquely associated with the low and high physical functioning groups, as opposed to those specific to cognitive functioning. Specifically, in low physical functioning group Bacteroidacea and Rikenellaceae were increased and Clostridiaceae were decreased compared to high physical functioning group. On the other hand, Streptococcaceae decreased in low cognitive function group compared to cognitively healthy people. Increase in the ratio of Firmicutes ‐Bacteroidetes was specific for physical activity, whereas the increase in the ratio of Actinobacteria‐Proteobacteria was specific for cognitive function. Conclusion Differentiating unique and specific microbiome signatures for physical function and cognitive function represents significant progress in the field of the gut‐brain axis. Our results support the distinct impact of the microbiome to impact the gut‐muscle axis versus the gut‐brain axis; and opens the doors for further comprehensive studies to determine the causal role of the microbiome in physical and cognitive functions, as well as its potential to be a biomarker for predicting the risk of decline in these functions in older adults – two of the most debilitating public health problems in older adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".