MétaCan
Menu
Back to cohort
Record W2124725516 · doi:10.1086/597278

HIV Infection Affects Blood Myeloid Dendritic Cells after Successful Therapy and despite Nonprogressing Clinical Disease

2009· article· en· W2124725516 on OpenAlexaff
Julie Fontaine, François Coutlée, Cécile Tremblay, Jean‐Pierre Routy, Johanne Poudrier, Michel Roger

Bibliographic record

VenueThe Journal of Infectious Diseases · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill University Health CentreUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsImmunologyMyeloidDiseaseBiologyHuman immunodeficiency virus (HIV)Myeloid cellsDendritic cellMedicineInternal medicineImmune system

Abstract

fetched live from OpenAlex

We assessed the longitudinal changes in blood myeloid dendritic cell (mDC) and plasmacytoid dendritic cell (pDC) populations in subjects with primary human immunodeficiency virus (HIV) infection undergoing different rates of disease progression. The relative level and degree of maturation of all cell populations decreased significantly in untreated individuals with acute infection. The most dramatic changes were observed in the rapid progressor group, correlating with their rate of clinical progression. Levels of mDCs remained lower than normal throughout follow-up for both rapid progressors who responded to antiretroviral therapy (ART) and untreated normal progressors. In contrast, mDC precursors were restored to normal levels during subsequent phases of infection in both rapid and normal progressors, and these levels were increased in long-term nonprogressors. pDC levels followed the pattern of CD4+ T cell fluctuations. These findings provide evidence for an ongoing process affecting mDCs after successful ART and despite nonprogressing clinical disease following HIV infection.

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 score0.035
Threshold uncertainty score0.478

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 head0.012
GPT teacher head0.288
Teacher spread0.276 · 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

Citations72
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Infectious DiseasesSame topicHIV Research and TreatmentFrench-language works237,207