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Record W4388916190 · doi:10.1684/vir.2023.1023

Nature and evolution of the cellular HIV-1 reservoir in children and adolescents

2023· article· en· W4388916190 on OpenAlexaff
Jade Canape, Madeleine Aby Diallo, Hugo Soudeyns

Bibliographic record

VenueVirologie · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsViral loadLife expectancyTransmission (telecommunications)DiseaseAntiretroviral therapyPersistence (discontinuity)MedicineHuman immunodeficiency virus (HIV)ImmunologyPediatricsPathogenesisAntiretroviral treatmentPopulationInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Shortly after primary infection, HIV hides in cellular reservoirs from which it becomes difficult or almost impossible to dislodge. In the absence of effective antiretroviral therapy, there is almost invariably resurgence of productive infection leading to a decline in CD4+ T cell counts and progression of HIV disease. The course of HIV infection in adults (horizontal transmission) differs significantly from that acquired in children following perinatal transmission: steady-state viral load is higher in children, adherence issues make it more difficult to control viral load using antiretroviral therapy, and the life expectancy of HIV-infected children in absence of treatment is markedly shorter than that of adults. Compared to the situation in adults, we know very little about the nature of the cellular reservoir in children, about its importance at the quantitative level, about its persistence over time, about its evolution during infancy, childhood and adolescence, and about its influence on the pathogenesis of pediatric HIV-AIDS. Some reported cases of spontaneous remission of HIV infection in children in the absence of treatment have also fueled the hopes of discovering avenues leading to a functional cure for HIV-AIDS in both children and adults.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.143

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)0.0000.000

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 head0.240
Teacher spread0.231 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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