Development of a G118R mutation in HIV-1 integrase following a switch to dolutegravir monotherapy leading to cross-resistance to integrase inhibitors
Bibliographic record
Abstract
OBJECTIVES: Dolutegravir shows a high barrier to resistance with no previously reported cases of acquired integrase mutations during first-line therapy. In this study, rapid development of the G118R mutation arose following a switch from first-line elvitegravir/cobicistat/tenofovir disoproxil fumarate/emtricitabine to dolutegravir monotherapy. The G118R mutation also arose in a treatment-experienced patient switched to dolutegravir monotherapy. The genetic basis for G118R selection and potential phenotypic outcome was ascertained. PATIENT AND METHODS: Genotypic analysis was performed on patients with virological failure (<1000 copies/mL) on dolutegravir-containing regimens. The Los Alamos database was queried for glycine codon 118 polymorphisms. Cell culture selections and phenotypic drug susceptibility assays assessed resistance via the G118R pathway. RESULTS: We report on two patients who developed viral failure while on dolutegravir monotherapy. Both patients had been on a current or previous regimen containing integrase inhibitors. Virological failure (<1000 copies/mL) emerged early within 2 months following the dolutegravir switch. The appearance of G118R in these two cases and subtype C and CRF02_AG in vitro selections were related to a rare GGA natural polymorphism at codon 118 (1.5% prevalence), facilitating a GGA to AGA transition. Cell culture selections were used to assess the in vitro progression of the G118R pathway leading to cross-resistance to all integrase inhibitors. CONCLUSIONS: Although resistance to dolutegravir is typically rare, genetic polymorphisms and monotherapy can facilitate the acquisition of G118R.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".