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Record W2006142506 · doi:10.1097/qad.0000000000000606

Dolutegravir inhibits HIV-1 Env evolution in primary human cells

2015· article· en· W2006142506 on OpenAlexafffund
Thibault Mésplède, Daniela Moïsi, Maureen Oliveira, Ilinca Ibanescu, Frédéric Ohnona, Bluma Brenner, Mark A. Wainberg

Bibliographic record

VenueAIDS · 2015
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsDolutegravirElvitegravirRaltegravirIntegraseIntegrase inhibitorVirologyDrug resistanceHuman immunodeficiency virus (HIV)DrugBiologyGeneticsPharmacologyAntiretroviral therapyViral load

Abstract

fetched live from OpenAlex

OBJECTIVE: In treatment-naive HIV-positive individuals, the integrase strand-transfer inhibitor dolutegravir (DTG) has not been associated with emergent drug-resistance mutations, neither against this drug nor against other antiretroviral drugs that were used in combination with it. This is in contrast to all other antiretroviral drugs tested so far, including the integrase strand-transfer inhibitors raltegravir (RAL) and elvitegravir that can lead to treatment failure with the emergence of drug-resistance mutations. DESIGN: These observations suggest that DTG may provide an additional protection against resistance compared to other drugs by decreasing HIV-1 genetic evolution. METHODS: Here, we tested this hypothesis by measuring the genetic and amino-acid diversity of Env/gp160 from two HIV-1 primary isolates that were grown in the presence of increasing concentrations of DTG or RAL over the course of 38-55 weeks. RESULTS: The results show that treatment with DTG led to less HIV-1 genetic and amino-acid diversification over time, as compared to treatment with RAL or the absence of drug. CONCLUSION: These results may help to explain the absence of emergent resistance mutations in treatment-naive individuals treated with DTG.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.259
Teacher spread0.239 · 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 teacher head, not a consensus.

Study designObservational
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

Citations10
Published2015
Admission routes2
Has abstractyes

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