Childhood growth trajectory patterns are associated with the pubertal gut microbiota
Bibliographic record
Abstract
ABSTRACT The relationship between growth and gut microbiota establishment is critical but under-investigated during late childhood. This is an important knowledge gap since the adult microbiota connects with other organs to influence health. We studied gut microbial communities composition and dietary patterns in 13 years old males and females from the 2004 Pelotas birth cohort (Brazil). We had previously shown that three BMIZ and HAZ patterns of growth since birth are present in this cohort, reflecting the nutritional status of these children. Here, we show that there is an association between growth patterns and gut microbiota, which encompasses the five pubertal stages, and which is affected by sex. Using Partial Least Square Path Modelling, we also show that there is a strong relationship between dietary patterns and gut microbiota, in males but not females. These data provide the microbiota and dietary profiles of highly phenotyped children and highlight the importance of childhood growth and sex for the maturation of the gut microbiota and long-term healthy growth. The role of pubertal diet in the relationships identified, further underlies the importance of dietary patterns establishment during adolescence while providing an opportunity for late modification of growth-microbiota relationships.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".