Postnatal programming of the innate immune response
Bibliographic record
Abstract
A host's defensive response to a pathogen is a phylogenetically ancient reaction that consists of a CNS-mediated series of autonomic, hormonal and behavioral responses that combine to combat infection. The absence of such defense results in greater morbidity and mortality and thus, these responses are essential for survival. The postnatal period represents a malleable phase in which the long-term behavior and physiology of the developing organism, including its immune responses, can be influenced. Postnatal challenge of the immune system by introduction of live replicating infections, or administration of bacterial and viral mimetics, can result in a multidomain alteration to the defenses of the adult host. Findings from our laboratory and others' indicate that the postnatal administration of lipopolysaccharide (LPS) or polyinosinic:polycytidylic acid (PolyI:C), which mimic bacterial and viral infections respectively, can influence the neuroimmune response (generation of fever and production of cytokines) to a second challenge to the immune system in adulthood. This long-lasting alteration in the innate immune response is associated with myriad other effects on the animal's physiology and appears to be primarily mediated by a sensitized hypothalamic-pituitary-adrenal axis. Thus, a transient immunological perturbation to a developing animal may program the organism for subsequent health complications as an adult. In this review we discuss some of the potential mechanisms for these phenomena.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".