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Record W2017350327 · doi:10.1097/qai.0b013e3182a4b9ad

Impact of Autologous Dendritic Cell–Based Immunotherapy (AGS-004) on B- and T-Cell Subset Changes and Immune Activation in HIV-Infected Patients Receiving Antiretroviral Therapy

2013· article· en· W2017350327 on OpenAlexafffund
Mohammad-Ali Jenabian, Charles A. Nicolette, Irina Y. Tcherepanova, Mark DeBenedette, Norbert Gilmore, Jean‐Pierre Routy

Bibliographic record

VenueJAIDS Journal of Acquired Immune Deficiency Syndromes · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill University Health Centre
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsCD38Dendritic cellImmunotherapyImmunologyCD8Immune systemT cellMedicineAntigenCytotoxic T cellCD40BiologyStem cellCell biology

Abstract

fetched live from OpenAlex

We previously reported that a combination of antiretroviral therapy with 4 monthly injections of each patient's own autologous dendritic cells (AGS-004) electroporated with CD40 ligand and with HIV RNA antigens obtained from each patient's own pre-antiretroviral therapy plasma induced HIV-specific CD8 T-cell responses in 10 patients. To assess other AGS-004-induced immune changes, we evaluated the modifications in B- and T-cell subsets and the level of immune activation in these patients. The proportion of Bm1 naive cells was increased along with an augmentation of the proliferation marker Ki67. Memory B-cell frequency, CD4 and CD8 T-cell subsets, regulatory T-cell frequency, and CD38/HLA-DR/PD-1 T-cell activation levels remained unchanged after AGS-004 dendritic cell immunotherapy.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.252
Teacher spread0.240 · 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 designNon-randomized trial
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

Citations4
Published2013
Admission routes2
Has abstractyes

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Same venueJAIDS Journal of Acquired Immune Deficiency SyndromesSame topicHIV Research and TreatmentFrench-language works237,207