Efficient HIV latency reversal with immune checkpoint blockade in a primary T-cell latency model.
Bibliographic record
Abstract
Authors: Van der Sluis RM1,2, Rachel D. Pascoe1, Jennifer M. Zerbato1, Kumar NA1, Evans VA1, Dantanarayana AI1, Jenny L. Anderson1, Sékaly RP3, Fromentin R4, Chomont N4,5, Cameron PU1,6 and Lewin SR1,6 1The Peter Doherty Institute for Infection and Immunity, The University of Melbourne and Royal Melbourne Hospital, Melbourne, Australia; 2Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark; 3Case Western University, Cleveland, OH; 4Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada; 5Department of Microbiology, Infectiology and Immunology, Université de Montréal, Montreal, QC, Canada; 6Department of Infectious Diseases, Alfred Health and Monash University, Melbourne, Australia. Introduction: In HIV-infected individuals on antiretroviral therapy (ART), HIV latency is the major barrier to a cure. HIV persists preferentially in CD4+ T-cells expressing multiple immune checkpoint (IC) molecules. Aim: To determine whether IC molecules have a role in maintaining HIV latency and if blocking IC molecules with antibodies (IC blockers: ICB) alone or in combination, can reverse latency. Methods: Resting CD4+ T-cells, isolated from blood of HIV-uninfected individuals, were stained with the proliferation dye eFluor670, co-cultured with syngeneic monocytes and infected with full length CCR5-tropic EGFP-reporter HIV. On day 5 post-infection, non-proliferating (eFLuorhi) and proliferating (eFluorlo) CD4+ T-cells that were not productively infected (EGFP-) and thus potentially latently infected were sorted. Expression of the IC molecules: cytotoxic T lymphocyte-4 (CTLA-4), T-cell immunoglobulin and mucin-domain containing-3 (TIM-3), B- and T-lymphocyte attenuator (BTLA), T-cell immunoreceptor with Ig and ITIM domains (TIGIT), or programmed death-1 (PD-1), were determined. To assess the ability of ICB to reactivate latency, sorted cells were cultured: 1. alone (background EGFP); 2. with anti-CD3/anti-CD28+IL-7+IL-2 (max EGFP/latency reactivation); 3. with one or more ICB / corresponding isotype control(s) in the presence of monocytes (mono), with or without SEB; or 4.with classic latency reversing agents including vorinostat and bryostatin. Raltegravir and T20 (an HIV integrase and fusion inhibitor, respectively) were added to all reactivations to prevent subsequent rounds of infection. Results: Latent infection was enriched in proliferating cells expressing PD-1 and in non-proliferating cells expressing CTLA-4, TIM-3, BTLA or PD-1. ICB reversed HIV latency in both proliferating and non-proliferating CD4+ T-cells, but only when multiple ICB were used or when an ICB was combined with an additional T-cell activating stimulus (ICB+mono+SEB). Latency reversal was higher following IC blockade compared to classical latency reversing agents. Conclusion: Combination IC blockade should be further explored as a strategy to reverse HIV latency.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".