Evolution of HIV integrase resistance mutations
Bibliographic record
Abstract
PURPOSE OF REVIEW: Integrase strand transfer inhibitors (INSTIs) have become a key component of antiretroviral therapy since the approval of twice-daily raltegravir in 2007 and the more recent approval of elvitegravir in 2012. At the same time, a third compound, dolutegravir, is in late-phase clinical trials, being tested as part of a multidrug once-daily formulation comprising this INSTI and two other antiretroviral (ARV) drugs. This review focuses on the factors leading to the development of drug resistance mutations (DRMs) against INSTIs, evidence of cross-resistance among them, and the results of regimen simplification in regard to this topic. RECENT FINDINGS: Sequencing data show that DRMs are highly dynamic in patients failing INSTI therapy. Considerations of viral fitness and drug resistance can together determine the evolution of drug resistance mutations, and in this regard the Y143 and Q148 pathways are superior to the N155 pathway in the promotion of resistance. Preventing the emergence of DRMs requires that effective reverse transcriptase or other inhibitors be used together with INSTIs and that high-level adherence to treatment be maintained. SUMMARY: Because of the susceptibility to drug resistance, INSTIs should always be used together with other effective ARV drugs.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".