The Nervous System as a Critical Regulator of Immune Responses Underlying Allergy
Bibliographic record
Abstract
The nervous and immune systems collaborate in the control of homeostasis and host defence. All divisions of the nervous system, sympathetic, parasympathetic and sensory, act to regulate immune cell function. Processes under neuronal control include antigen processing and presentation, Th1/Th2 balance, immunoglobulin production and antigen specific responses, while involvement of the central nervous system allows for behavioral changes leading to avoidance of antigen or noxious stimuli. It therefore follows that dysregulation of these complex bidirectional neuroimmune signaling systems may contribute to the aetiology and pathophysiology of immune disorders including atopic disease. A greater understanding on how the brain perceives, processes and responds to immune challenges and how multiple neurotransmitters interact to maintain or skew the balance between tolerance and immunity will undoubtedly provide opportunities for the development of novel therapeutics. Furthermore, the implications for atopic disease of relatively recent developments such as the cholinergic anti-inflammatory pathway and the potential direct antigen-specific activation of the nervous system require further exploration.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".