Dairy consumption and physical fitness tests associated with fecal microbiome in a Chinese cohort
Bibliographic record
Abstract
Gut microbiome influenced many aspects of host physiology and psychology. Vice versa, lifestyles factors such as exercise and healthy diet are ways to shape the gut microbiota towards balance. We observed two distinct microbe groups characterized by physical fitness in a multi-omic cohort of 2183 young subjects with metagenomics, national physique comprehensive test, lifestyle and metabolome data. The panel of bacterial taxa including Clostridium bolteae, Escherichia coli, Ruminococcus gnavus, Clostridium clostridioforme, Clostridium innocuum, Bacteroides cellulosilyticus and Oscillospiraceae, were consistently associated with most of the physical fitness. Clostridium species and trace element both increased in the individuals those tend to stay up late. Yogurt consumption was associated with Streptococcus thermophilus and Bifidobacterium animalis subsp. lactis in feces, which differed from potentially endogenous Bifidobacterium species that was associated with milk intake. Our large-scale analyses were poised to advise for a healthy gut microbiome through behavioural changes.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".