The Impact of Maternal Microbes and Microbial Colonization in Early Life on Hematopoiesis
Bibliographic record
Abstract
All body surfaces are colonized by microbes, which occurs through a dynamic process over the first few years of life. Initial colonizing microbes are transferred from the maternal microbiota to the newborn through vertical transmission. Postnatal maturation of the immune system is heavily influenced by these microbes, particularly during early life. Although microbial-mediated education of the immune system is better understood at mucosal sites, recent data indicate that the systemic immune system is also shaped by the microbiota. Bacterial products and metabolites produced through microbial metabolism can reach distal sites, and metabolites derived from the maternal microbiota can cross the placenta and are present in milk. Recent studies show that the microbiota can even influence immune development in primary lymphoid organs like the bone marrow. This review outlines our current knowledge of how the microbiota can impact hematopoiesis, with a focus on the effects of maternal and early-life microbiota.
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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 | 0.000 |
| 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".