Endogenous retroviruses mediate IFN-independent protection against vaginal HSV-2 infection
Bibliographic record
Abstract
Abstract Endogenous retroviruses (ERVs) are genomic sequences that originated from retroviruses and are present in most eukaryotic genomes. Both beneficial and detrimental functions are attributed to ERVs, but whether ERVs contribute to antiviral immunity is not known. Here we used herpes simplex virus type 2 (HSV-2) infection and found that mice deficient in Toll-like receptor 7 (Tlr7−/−) that have high systemic levels of infectious ERVs are resistant to intravaginal HSV-2 infection compared with wildtype C57BL/6 (B6) mice. We deleted the endogenous ecotropic murine leukemia virus (Emv2) locus on the Tlr7−/− background (Emv2−/−Tlr7−/−) and found that Emv2−/−Tlr7−/− mice are no longer protected against HSV-2. Intravaginal application of purified ERVs prior to HSV-2 infection in both B6 and highly susceptible interferon-alpha receptor-deficient (Ifnar1−/−) mice delayed disease course. We did not observe enhanced type I interferon (IFN-I) signaling in the vaginal tissues from Tlr7−/− mice or B6 mice treated with purified ERVs. Instead, we observed enhanced expression of epithelial tight junction protein, E-cadherin, in the vaginal epithelium of ERV-treated B6 mice. Similar increase in tight junction proteins was observed in Tlr7−/− but not in the Emv2−/−Tlr7−/− mice. Together, our results showed that IFN-independent modulation of the vaginal epithelium by ERVs protects mice against vaginal HSV-2 infection and lowers disease burden.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".