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Assessment of longitudinal changes in HIV-specific effector activity in subjects undergoing untreated primary HIV infection

2004· article· en· W2003363216 on OpenAlexaff
Galit Alter, Christos Tsoukas, Danielle Rouleau, Pierre Côté, Jean‐Pierre Routy, R P Sékaly, Nicole F. Bernard

Bibliographic record

VenueAIDS · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMontreal General HospitalMcGill University Health Centre
FundersNational Institute of Allergy and Infectious Diseases
KeywordsELISPOTImmune systemImmunologyViral loadHIV vaccineImmunopathologyBiologyMulticenter AIDS Cohort StudyHIV AntigensViral diseaseImmunityT cellVirusMedicineVirologyHuman immunodeficiency virus (HIV)SidaVaccine trial

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the failure of HIV-specific cell-mediated immune responses to clear the virus, these cells play a critical role in the control of viral replication throughout HIV infection. OBJECTIVE: To characterize the natural evolution of the HIV-specific immune response in HIV primary infection (PI). METHODS: Untreated individuals, recruited in HIV PI, were monitored for the evolution of HIV-specific immune responses starting in early HIV disease. Longitudinal analysis of changes in the magnitude and breadth of HIV-specific responses to a panel of MHC class I-restricted peptides was performed using the quantitative interferon-gamma ELISPOT assay. RESULTS: Although immune responses were detected in all individuals at all times tested, the pattern of the immune responses differed significantly from that seen in subjects treated in PI. Untreated PI subjects exhibited dramatic changes with time in the frequency of individual HIV peptide-specific T-cell responses. In contrast HIV-specific immunity was stable in subjects treated in early PI or decreased in intensity and breadth in individuals treated later in PI. In untreated subjects the overall magnitude of HIV-specific reactivity persisted over at least 12 months whereas the number of peptides recognized declined. CONCLUSION: Given that a significant relationship existed between the magnitude of the HIV-specific response and viral load, it is likely that these effector cell expansions and contractions are driven by changes in antigen load.

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 score0.124
Threshold uncertainty score0.491

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 head0.018
GPT teacher head0.282
Teacher spread0.263 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

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