Microbiome Maturation Trajectory and Key Milestones in Early Life
Bibliographic record
Abstract
BACKGROUND: The development of the gut microbiome during early life plays a critical role in shaping long-term health. The first 1,000 days represent a crucial period in which the microbiome is particularly malleable, influenced by various factors such as birth mode, diet, antibiotic exposure, and environmental interactions. SUMMARY: This review outlines the key stages of microbiome maturation, beginning with initial colonization at birth and progressing through the diversification and stabilization phases during the first 5 years of life. Factors like breastfeeding, the introduction of solid foods, and early-life antibiotic have a critical impact on microbial diversity and immune system development. Disruptions to the microbiome during this critical window, particularly through antibiotic use, are associated with an increased risk of immune, metabolic, and neurodevelopmental disorders. Recent research emphasizes the need for a better understanding of these early-life trajectories to inform interventions that promote a healthy microbiome.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".