Characterization of Emergent HIV Resistance in Treatment‐Naive Subjects Enrolled in a Vicriviroc Phase 2 Trial
Bibliographic record
Abstract
BACKGROUND: Vicriviroc is a C-C motif chemokine receptor 5 (CCR5) antagonist that is in clinical development for the treatment of human immunodeficiency virus type 1 (HIV-1) infection. This study explored the molecular basis for the development of phenotypically resistant virus. METHOD: HIV-1 RNA from treatment-naive subjects who experienced virological failure in a phase 2 dose-finding trial was evaluated for coreceptor usage and susceptibility. For viruses that exhibited reduced susceptibility to vicriviroc, envelope clones were phenotypically and genotypically characterized. RESULTS: Twenty-six vicriviroc-treated subjects experienced virological failure; for 24 the virus remained CCR5-tropic, and 2 had dual/X4 virus. Reduced susceptibility to vicriviroc, manifested as decreases in the maximum percent inhibition value (no increase in median inhibitory concentration), was detected in 4 of the 26 subjects who experienced virological failure. Clonal analysis of envelopes in samples from these 4 subjects revealed multiple sequence changes in gp160, principally within the variable domain 1/variable domain 2, variable domain 3, and variable domain 4 loops. However, no consistent pattern of mutations was observed across subjects. CONCLUSIONS: In this study, only a small proportion of treatment failures were associated with tropism changes or reduced susceptibility to vicriviroc. Genotypic analysis of cloned env sequences revealed no specific mutational pattern associated with reduced susceptibility to vicriviroc, although numerous changes were observed in the variable domain 3 loop and in other regions of gp160.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".