Dolutegravir inhibits HIV-1 Env evolution in primary human cells
Bibliographic record
Abstract
OBJECTIVE: In treatment-naive HIV-positive individuals, the integrase strand-transfer inhibitor dolutegravir (DTG) has not been associated with emergent drug-resistance mutations, neither against this drug nor against other antiretroviral drugs that were used in combination with it. This is in contrast to all other antiretroviral drugs tested so far, including the integrase strand-transfer inhibitors raltegravir (RAL) and elvitegravir that can lead to treatment failure with the emergence of drug-resistance mutations. DESIGN: These observations suggest that DTG may provide an additional protection against resistance compared to other drugs by decreasing HIV-1 genetic evolution. METHODS: Here, we tested this hypothesis by measuring the genetic and amino-acid diversity of Env/gp160 from two HIV-1 primary isolates that were grown in the presence of increasing concentrations of DTG or RAL over the course of 38-55 weeks. RESULTS: The results show that treatment with DTG led to less HIV-1 genetic and amino-acid diversification over time, as compared to treatment with RAL or the absence of drug. CONCLUSION: These results may help to explain the absence of emergent resistance mutations in treatment-naive individuals treated with DTG.
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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) | 0.001 | 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".