Induction of Innate Immune Responses in the Female Genital Tract: Friend or Foe of HIV‐1 Infection?
Bibliographic record
Abstract
Heterosexual transmission of HIV-1 and HSV-2 across the genital tract epithelial tissue is one of the primary routes for dissemination of these viral infections. Mucosal innate immunity is the first line of defense against invading pathogens. A vast majority of mucosal HIV-1 exposures do not result in productive infections which may indicate that the innate mucosal immune system is highly protective. It has been shown that Toll-like receptors (TLR)-induced innate antiviral immunity in the genital mucosa lead to induction of type I and III interferon and prevention of HSV-2 infection. The innate antiviral function of type I and III interferons and other innate factors at genital mucosa against HIV-1 is not well defined. In this review, we summarize our current understanding and advances of the innate mucosal response to genital viral infections, including HIV-1 and HSV-2, focusing on those factors that may prevent or accelerate initial infection. Understanding how each of these components contributes to mucosal innate antiviral immunity may lead to the development of novel and effective strategies to use microbicides or antiviral agents to control HIV-1 acquisition and/or transmission.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".