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Record W2149330759 · doi:10.1093/jac/dkr291

Transmission dynamics of the M184V drug resistance mutation in primary HIV infection

2011· article· en· W2149330759 on OpenAlexafffund
Mark A. Wainberg, Daniela Moïsi, Maxwel C. Oliveira, Thomas-d’Aquin Toni, Bluma Brenner

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsResistance mutationReverse transcriptaseReversionVirologyMutationDrug resistanceTransmission (telecommunications)BiologyHuman immunodeficiency virus (HIV)GeneticsPolymerase chain reactionPhenotypeGene

Abstract

fetched live from OpenAlex

OBJECTIVES: M184V in HIV-1 reverse transcriptase is among the most common mutations in patients failing antiretroviral therapy but is found only rarely in cases of transmitted drug resistance. METHODS: To investigate this apparent paradox, we developed an allele-specific real-time PCR (AS-PCR) assay to determine the transmission of M184V in newly infected individuals. RESULTS: M184V transmission may occur to a greater extent than previously thought. Persistence of M184V may commonly involve linkage to other drug resistance mutations. The presence of M184V as a single substitution in newly infected individuals was shown to wane over time, as a likely consequence of reversion and overgrowth by more fit wild-type viruses. CONCLUSIONS: The M184V mutation can be documented in newly infected individuals, and the alternative hypothesis that this substitution might impact on the ability of HIV to be transmitted is unfounded.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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 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

Citations45
Published2011
Admission routes2
Has abstractyes

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