Metagenomic analysis revealing links between age, gut microbiota and bone loss in Chinese adults
Bibliographic record
Abstract
Accumulating evidence has linked gut microbiota to bone health. However, investigations into the impacts of aging, gut microbiota, and their interactions in the development of osteoporosis remain inconclusive. We employed quantitative computed tomography to measure lumbar bone mass density (BMD) and analyzed shotgun metagenomic data in 684 Chinese adults. Our analyses revealed significant positive associations between BMD and abundances of multiple Lachnospiraceae species, including Lachnospira eligens, Blautia wexlerae, and Roseburia hominis, as well as pathways involved in L-arginine biosynthesis and butyrate production-independent of age, diet habits, and lifestyles. Moreover, we demonstrated that individuals with enterotype Bacteroides exhibited a more pronounced age-related decline in BMD compared to those with enterotype Prevotella, a pattern we validated in an independent cohort. Our findings offer valuable insights into BMD-related gut microbial features and interactions between aging, gut microbiota, and bone loss, opening potential avenues for microbiota-based prevention and treatment strategies for osteoporosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".