16 Long-term immune and metabolic consequences of a disrupted early life microbiota
Bibliographic record
Abstract
Abstract In the first weeks of life, the gastrointestinal tract changes dramatically in structure and function, including a rapid expansion and maturation of the immune cell population. Successful intestinal development comes at a significant energy cost yet is essential to subsequent performance and health. Many of the developmental changes in intestinal and immune development are dependent on the abundant and diverse population of microbes (microbiota) residing at the mucosal surface and in the intestinal lumen. We are now beginning to understand that the nature of the first exposures in the first days to weeks of life have a long-term impact on physiological processes important to metabolic health, as well as immune programming that impacts response to pathogen challenge. In this presentation I will discuss our key findings on the significant impacts early life microbial disruption have on intestinal, pancreatic, and immune function of the piglet. I will also discuss the consequences of excessive hygiene on disease resilience as well as the ability to mount a successful immune response in response to vaccination. Understanding the ability of the early life microbiota to program subsequent health provides a significant opportunity to support healthy pig production as we move away from antibiotic use in livestock production.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".