HIV-1 subtype B and C integrase enzymes exhibit differential patterns of resistance to integrase inhibitors in biochemical assays
Bibliographic record
Abstract
BACKGROUND: Because of high intersubtype HIV-1 genetic variability, it has been shown that subtype-specific patterns of resistance to antiretroviral drugs exist. We wished to ascertain whether this might be true for integrase inhibitors. METHODS: We compared the susceptibility of subtype B and C HIV-1 integrase enzymes, harboring the previously reported resistance mutations E92Q, N155H, and E92Q/N155H, to clinically relevant integrase inhibitors. This was performed biochemically using a microtiter plate system. RESULTS: Subtype C integrase enzymes bearing the resistance mutations E92Q/N155H were approximately 10-fold more susceptible to each of two integrase inhibitors, raltegravir and elvitegravir, than were subtype B recombinant integrase containing the same mutations. CONCLUSION: Polymorphic differences within the subtype B and C integrase genes likely cause variations in the contribution of N155H alone or in combination with E92Q to drug resistance. It is possible that different viral subtypes may favor different mutational pathways, potentially leading to varying levels of drug resistance among different subtypes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".