REVIEW ARTICLE: The Role of Toll‐Like Receptor Ligands/Agonists in Protection Against Genital HSV‐2 Infection
Bibliographic record
Abstract
Control of virus replication initially depends on rapid activation of the innate immune responses. Toll-like receptor (TLR) ligands are potent inducers of innate immunity against viral infections, including herpes simplex virus (HSV). HSV-2 is currently one of the most common sexually transmitted infections in developed nations and is becoming more prevalent in adolescents. HSV-2 infects the genital mucosa and is associated with an increased risk of obtaining other sexually transmitted infections such as HIV. There is currently no vaccine available against HSV-2. In the last several years, there has been an interest in utilizing Toll-like receptor (TLR) ligands to initiate innate immune responses in order to provide an early line of defence against viral replication. This review highlights recent studies investigating the effect of various TLR ligands on genital HSV-2 infection. A considerable body of information has been published on the effect of local delivery of TLR ligands on HSV-2 replication in genital mucosa. We have outlined ligands that have a potential to provide protection against HSV-2 infection. In addition, we have presented possible mechanisms by which the local delivery of TLR ligands provides innate protection against genital HSV-2.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".