Do pathogen exposure and innate immunity cause brain diseases?
Bibliographic record
Abstract
It had long been thought that the central nervous system was isolated from the immune system owing to the blood-brain barrier and that this organ was unable to mount an immune reaction of its own when challenged by invading pathogens. It is now clear that the immune system has a profound impact on the central nervous system, because immune molecules found in the blood stream are able to stimulate cells within the brain. Moreover, recent studies have demonstrated that cells within the central nervous system have the capacity to produce molecules of the innate immune system and that this organ is able to generate a proper immune reaction. This topic has been extensively studied in recent years, and it is becoming clear that the innate immune system is an important modulator of the fate of neurons. Indeed, the precise role(s) of the innate immune response in neurodegenerative diseases is currently under intensive debate. In this review paper, we present evidence either supporting or opposing a role for the innate immune response in these events. The mechanisms by which pathogens interact with the brain and whether such an interaction leads to neurodegenerative disorders are also discussed.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".