Despite early antiretroviral therapy effector memory and follicular helper CD4 T cells are major reservoirs in visceral lymphoid tissues of SIV-infected macaques
Bibliographic record
Abstract
Whereas antiretroviral therapy (ART) suppresses viral replication, ART discontinuation results in viral rebound, indicating the presence of viral reservoirs (VRs) established within lymphoid tissues. Herein, by sorting CD4 T-cell subsets from the spleen, mesenteric and peripheral lymph nodes (LNs) of SIVmac251-infected rhesus macaques (RMs), we demonstrate that effector memory (TEM) and follicular helper (TFH) CD4 + T cells harbor the highest frequency of viral DNA and RNA, as well of early R-U5 transcripts in ART-naïve RMs. Furthermore, our results highlight that these two CD4 T cells subsets harbor viral DNA and early R-U5 transcripts in the spleen and mesenteric LNs (but not in peripheral LN) of RMs treated with ART at day 4 post infection suggesting that these two anatomical sites are important for viral persistence. Finally, after ART interruption, we demonstrate the rapid and, compared to peripheral LNs, earlier seeding of SIV in spleen and mesenteric LNs, thereby emphasizing the importance of these two anatomical sites for viral replication dynamics. Altogether our results advance understanding of early viral seeding in which visceral lymphoid tissues are crucial in maintaining TEM and TFH VRs.
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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".