Interferon epsilon protects primary macrophages against HIV infection
Bibliographic record
Abstract
Abstract Interferon epsilon (IFNe) is a unique type I IFN that is not induced by pattern-recognition response elements. IFNɛ is constitutively expressed in mucosal tissues including the female genital mucosa. Although the direct anti-viral activity of IFNe was thought to be weak compared to IFNa, IFNe controls Chlamydia muridarum and herpes simplex virus 2 in mice, possibly through modulation of immune response. We show here that IFNe induces an antiviral state in human macrophages that blocks HIV-1 replication. IFNe had little or no protective effect in activated CD4+ T cells or transformed cell lines unless activated CD4+ T cells were infected with replication competent HIV-1 at a low MOI. The block to HIV infection of macrophages was maximal after 24 h of treatment and was reversible. IFNe acted on early stages of the HIV life cycle including viral entry, reverse transcription and nuclear import. The protection did not appear to operate through known type I IFN-induced HIV host restriction factors such as APOBEC3A and SAMHD1. IFNe-stimulated immune mediators and pathways had the signature of type I IFNs but were distinct from IFNα2. IFNe induced significant phagocytosis and reactive oxygen species, which contributed to the block to HIV replication in macrophages. These findings indicate that IFNe induces an antiviral state in macrophages that is mediated by different factors than those induced by IFNa2. Understanding the mechanism of IFNe-mediated HIV inhibition through immune modulation has implications for prevention.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".