MétaCan
Menu
Back to cohort
Record W2712490288 · doi:10.1128/jvi.00518-17

Mother-to-Child HIV Transmission Bottleneck Selects for Consensus Virus with Lower Gag-Protease-Driven Replication Capacity

2017· article· en· W2712490288 on OpenAlexafffund
Vanessa Naidoo, Jaclyn K. Mann, C Noble, Emily Adland, Jonathan M. Carlson, Jake Thomas, Chanson J. Brumme, Christina Thobakgale, Zabrina L. Brumme, Mark A. Brockman, Philip Goulder, Thumbi Ndung’u

Bibliographic record

VenueJournal of Virology · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsSimon Fraser UniversityAIDS Vancouver
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthVictor Daitz FoundationNational Research FoundationMichael Smith Health Research BCHoward Hughes Medical InstituteCanada Research ChairsWellcome Trust
KeywordsBiologyVirologyViral replicationProteaseTransmission (telecommunications)LentivirusVirusRecombinant DNAGeneticsViral diseaseGeneEnzyme

Abstract

fetched live from OpenAlex

ABSTRACT In the large majority of cases, HIV infection is established by a single variant, and understanding the characteristics of successfully transmitted variants is relevant to prevention strategies. Few studies have investigated the viral determinants of mother-to-child transmission. To determine the impact of Gag-protease-driven viral replication capacity on mother-to-child transmission, the replication capacities of 148 recombinant viruses encoding plasma-derived Gag-protease from 53 nontransmitter mothers, 48 transmitter mothers, and 47 infected infants were assayed in an HIV-1-inducible green fluorescent protein reporter cell line. All study participants were infected with HIV-1 subtype C. There was no significant difference in replication capacities between the nontransmitter ( n = 53) and transmitter ( n = 44) mothers ( P = 0.48). Infant-derived Gag-protease NL4-3 recombinant viruses ( n = 41) were found to have a significantly lower Gag-protease-driven replication capacity than that of viruses derived from the mothers ( P < 0.0001 by a paired t test). High percent similarities to consensus subtype C Gag, p17, p24, and protease sequences were also found in the infants ( n = 28) in comparison to their mothers ( P = 0.07, P = 0.002, P = 0.03, and P = 0.02, respectively, as determined by a paired t test). These data suggest that of the viral quasispecies found in mothers, the HIV mother-to-child transmission bottleneck favors the transmission of consensus-like viruses with lower viral replication capacities. IMPORTANCE Understanding the characteristics of successfully transmitted HIV variants has important implications for preventative interventions. Little is known about the viral determinants of HIV mother-to-child transmission (MTCT). We addressed the role of viral replication capacity driven by Gag, a major structural protein that is a significant determinant of overall viral replicative ability and an important target of the host immune response, in the MTCT bottleneck. This study advances our understanding of the genetic bottleneck in MTCT by revealing that viruses transmitted to infants have a lower replicative ability as well as a higher similarity to the population consensus (in this case HIV subtype C) than those of their mothers. Furthermore, the observation that “consensus-like” virus sequences correspond to lower in vitro replication abilities yet appear to be preferentially transmitted suggests that viral characteristics favoring transmission are decoupled from those that enhance replicative capacity.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.024
GPT teacher head0.285
Teacher spread0.261 · 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

Citations24
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of VirologySame topicHIV Research and TreatmentFrench-language works237,207