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 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 | 0.001 | 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".