IL-10 driven memory T cell survival and Tfh differentiation promote HIV persistence
Bibliographic record
Abstract
Summary Mechanisms regulating HIV persistence are complex and not well understood. Increased IL-10 levels were positively associated with HIV reservoir in blood and lymph nodes (LN) of treated HIV aviremic individuals. In LNs, B cells, regulatory T cells, follicular T helper cells (Tfh), monocytes and macrophages contributed to the frequencies of IL10+ cells. Cells with HIV DNA in LNs were in close proximity to IL-10+ cells and/or had the active form of STAT3, the transcription downstream of IL-10. Gene signatures and proteins associated to cell survival, Co-inhibitory receptors expression, maintenance of memory T cells, immune metabolism and Tfh frequencies were all modulated by IL-10 and associated with HIV reservoir persistence. In vitro, STAT3 knockout or neutralization of IL-10, reverted all the aforementioned pathways and resulted in 10-fold decay in HIV reservoir. Collectively, these results provide strong evidence for a pivotal role of IL-10 in HIV persistence, and a potential therapeutic strategy for HIV cure.
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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) | 0.007 | 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".