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Record W4206403922 · doi:10.1093/jac/dkab498

Impact of combinations of clinically observed HIV integrase mutations on phenotypic resistance to integrase strand transfer inhibitors (INSTIs): a molecular study

2021· article· en· W4206403922 on OpenAlexafffund
Peter K. Cheung, Aniqa Shahid, Winnie Dong, Katherine J. Lepik, Julio Montaner, Mark A. Brockman, Zabrina L. Brumme, Chanson J. Brumme

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2021
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsUniversity of British ColumbiaSt. Paul's HospitalAIDS VancouverSimon Fraser University
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsElvitegravirDolutegravirRaltegravirIntegraseVirologyBiologyIntegrase inhibitorVirusViral loadHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

BACKGROUND: Routine HIV drug resistance genotyping identified an integrase sequence harbouring T97A, E138K, G140S and Q148H, with high predicted resistance to all integrase strand transfer inhibitors (INSTIs). OBJECTIVES: To assess the impact of these substitutions alone and together on phenotypic INSTI susceptibility. METHODS: We constructed recombinant NL4.3 viruses harbouring all mutation combinations in the autologous integrase sequence. Viruses were grown in GFP-reporter CD4+ T-cells in the presence of 0.01-1000 nM raltegravir, elvitegravir, dolutegravir, bictegravir, and cabotegravir. Infection was measured by imaging cytometry. RESULTS: Q148H-containing viruses lacking G140S failed to propagate or mutated in vitro, consistent with fitness costs. Statistically significant reductions in INSTI susceptibility were observed for several mutation combinations, as follows. T97A or G140S alone conferred 3.6- to 5.6-fold decreased susceptibility to raltegravir and elvitegravir. Two-mutation combinations conferred low-to-moderate resistance to raltegravir and elvitegravir only, except G140S/Q148H which eliminated raltegravir and elvitegravir activity and conferred 24.6-, 7.9-, and 107.5-fold reduced susceptibility to dolutegravir, bictegravir and cabotegravir. Addition of E138K to G140S/Q148H conferred 35.5, 11.6 and 208-fold reduced susceptibility to dolutegravir, bictegravir, and cabotegravir, while addition of T97A to G140S/Q148H conferred 318, 121 and >1000-fold reduced susceptibility to these drugs. T97A/E138K/G140S/Q148H in the autologous backbone conferred >300-fold reduced susceptibility to all INSTIs. Notably, bictegravir EC50 was significantly lower when T97A/E138K/G140S/Q148H was introduced into NL4.3, suggesting that other mutations in the autologous sequence enhanced resistance. CONCLUSIONS: High-level dolutegravir, bictegravir and cabotegravir resistance requires multiple integrase substitutions including compensatory mutations. T97A and E138K further enhance the resistance conferred by G140S/Q148H, yielding >300-fold decreased susceptibility to all INSTIs when all four mutations are present.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.315
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2021
Admission routes2
Has abstractyes

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