A 21-Base Pair Insertion/Duplication at Codon 69 of the HIV Type 1 Reverse Transcriptase in a Patient Undergoing Multiple Nucleoside Therapy
Bibliographic record
Abstract
We describe the selection of a previously unreported 21-base pair insertion following codon 69 of the HIV-1 reverse transcriptase (RT) from a patient undergoing multiple nucleoside analogue therapy. This insertion was a direct duplication of the preceding 21 bases of HIV-RT, and was selected in a background of NRTI-resistance mutations including substitutions at RT codons 41, 67, 184, 210, and 215. Longitudinal genotypic and phenotypic resistance tests performed before and after selection of the insertion suggested that the insertion conferred an additional decrease in susceptibility to some nucleoside analogues, most notably didanosine, stavudine, abacavir, and tenofovir. However, phenotypic analysis of an insertion-containing site-directed mutant constructed in an HIV-1 HXB2 background revealed no direct association between the 21-base pair insertion and decreased susceptibility to NRTIs, suggesting that the insert requires the context of the patients' virus in order to confer resistance. These observations may offer new insight into the relative contribution of HIV-RT codon 69 insertion mutations to antiretroviral resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".