Effect of antiretroviral therapy on HIV-1 genetic evolution during acute infection
Bibliographic record
Abstract
The rapid evolution of HIV-1 is a major obstacle to viral eradication. Early antiretroviral therapy (ART) during primary HIV-1 infection could limit viral diversity. Eighteen patients recently infected with HIV-1 were selected. Nine initiated ART soon after enrolment and nine remained untreated. Replication-competent (RC) viruses were quantified at baseline and after one year of follow-up. Viral diversity in the C2V5 envelope region was evaluated from plasma, peripheral blood mononuclear cells (PBMCs), and cell culture at both time points. The amount of RC virus in the treated group declined (median -5.42 infectious units per million [IUPM]) while it remained stable or increased in the untreated group (median +0.87 IUPM). At one year post infection, we observed a significant increase in diversity for the C2V5 (+0.150%) region, specifically in the hypervariable loops V4 (+0.73%) and V5 (+0.77%), in the untreated group. More importantly, viral diversity did not significantly increase in treated individuals during the first year post infection. Genetic diversity during primary infection remains low through the first year of infection. Early treatment could contribute to a decrease in RC viruses from PBMCs and to limitation of viral diversification in the viral reservoir. These findings may have relevance for the rational design of specific immunotherapeutic strategies.
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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) | 0.000 | 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 teacher head, 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".