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Record W2921575631 · doi:10.1186/s12977-019-0466-1

Replication competence of virions induced from CD4+ lymphocytes latently infected with HIV

2019· article· en· W2921575631 on OpenAlexaff
Douglas D. Richman, Karissa Huang, Steven M. Lada, Xiaoying Sun, Sonia Jain, Marta Massanella, Bryson Menke

Bibliographic record

VenueRetrovirology · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversité de Montréal
FundersCenter for AIDS Research, University of WashingtonNational Institutes of HealthNational Center for Advancing Translational SciencesJames B. Pendleton Charitable TrustNational Institute of Allergy and Infectious DiseasesU.S. Department of Veterans Affairs
KeywordsVirologyViral replicationVirusReverse transcriptaseBiologyCell cultureAntiretroviral therapyViral loadMedicineRNAGeneGenetics

Abstract

fetched live from OpenAlex

Latently infected CD4 lymphocytes preclude cure of HIV infection, even with the most effective antiretroviral therapy. The replication competent latent HIV reservoir has been quantified with the terminal dilution quantitative viral outgrowth assay, which induces virus propagation in CD4+ T cell culture supernatants following cellular activation. Efforts to improve the sensitivity of this inefficient assay have introduced more sensitive p24 ELISA and RNA PCR based endpoints, but these more sensitive endpoints have raised the question whether they are measuring induced replication competent or defective virions. Here we performed parallel terminal dilution assays with CD4 lymphocytes from subjects effectively treated with antiretroviral therapy. An HIV integrase inhibitor was incorporated into one set of parallel cultures to compare the frequency of cells that can be induced to produce virions to those that produce virus that can propagate and amplify with co-culture in permissive cells. The majority of cells that can be induced to generate virus particles are producing replication competent virus, thus justifying more sensitive and faster assays of this reservoir.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
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)0.0010.003

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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