HIV reservoir dynamics in HAART-treated poor immunological responder patients under IL-7 therapy
Bibliographic record
Abstract
OBJECTIVES: Recombinant Human IL-7 (rhIL-7) therapy allows reconstituting systemic and tissue-associated CD4 T-cell populations in HIV-infected poor immunological responder (PIR) patients. However, in-vitro studies suggest that the impact of rhIL-7 treatment on HIV-DNA loads in vivo remains questionable. DESIGN: We assessed the dynamics of circulating HIV-DNA loads in IL-7-treated HIV-infected PIR individuals. METHODS: Forty-one rhIL-7-treated and 16 control participants from the INSPIRE-3 clinical trial were included. Participants received three weekly subcutaneous injections of rhIL-7. HIV-DNA was quantified by nested quantitative PCR in white blood cells sampled at D0, D28 and M3 and expressed as per milliliters and per CD4 T-cell. Changes in HIV-DNA loads in the CD4 compartment at M3 were confirmed on sorted CD4 cells. RESULTS: Together with rhIL-7-induced T-cell expansion, we observed a significant raise in both infected cell frequencies and counts during the first 28 days of follow-up. During this period, HIV-DNA load per CD4 T-cell also increased, to a lower extent. Three months post-therapy, both the frequencies and counts of infected cells diminished in blood as compared with D28 but remained significantly higher than before IL-7 therapy. In contrast, infection frequencies strongly diminished within CD4 cells, reaching slightly but significantly lower levels than at baseline. CONCLUSION: rhIL-7 treatment initially drives an expansion of HIV reservoir in PIR patients by D28. This expansion is probably not only because of infected cell proliferation, but also to possible enhanced neoinfection, despite highly active antiretroviral therapy. In contrast, subsequent reduction in HIV-DNA load per CD4 T-cell argues for partial elimination of infected cells between D28 and M3.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.005 |
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; both teacher heads agree on what is shown here.
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".