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Record W2587578158 · doi:10.1128/jvi.02233-16

HIV-Specific Granzyme B-Secreting but Not Gamma Interferon-Secreting T Cells Are Associated with Reduced Viral Reservoirs in Early HIV Infection

2017· article· en· W2587578158 on OpenAlexafffund
Feng Yun Yue, Jared C. Cohen, Mu Ho, A. K. M. Nur-ur Rahman, Jun Liu, Shariq Mujib, Aamir Saiyed, S.K. Hundal, Alexandra Khozin, Phil Bonner, Daheng Liu, Erika Benko, Colin Kovacs, Mario Ostrowski

Bibliographic record

VenueJournal of Virology · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMaple Leaf Medical ClinicSt. Michael's HospitalUniversity of Toronto
FundersNational Institutes of HealthCanadian Institutes of Health ResearchOntario HIV Treatment NetworkGovernment of Canada
KeywordsGranzyme BELISPOTBiologyGranzymeGranzyme ACytotoxic T cellVirologyImmunologyViral loadInterferon gammaInterferonCD8Immune systemVirusPerforinIn vitro

Abstract

fetched live from OpenAlex

ABSTRACT A major barrier to a human immunodeficiency virus type 1 (HIV-1) infection cure is the establishment of a viral reservoir in spite of combined antiretroviral therapy (cART). It is unclear how HIV-specific cytotoxic T lymphocytes (CTLs) influence the size of the reservoir in early HIV infection. Twenty-eight subjects with early HIV infection were recruited to receive cART and followed for 48 weeks. HIV reservoirs in peripheral CD4 + T cells measured by cell-associated proviral DNA and viral outgrowth cultures were determined at baseline and after 48 weeks of cART. At baseline, granzyme B and gamma interferon (IFN-γ) enzyme-linked immunosorbent spot (ELISpot) assays were performed with peptides spanning the HIV proteome. All subjects had detectable HIV-specific granzyme B and IFN-γ responses at baseline. The quantity and specificity of granzyme B responses did not correlate with IFN-γ responses. For granzyme B, Tat/Rev was the most dominant whereas for IFN-γ, Gag predominated. HIV-specific granzyme B T cell responses negatively correlated with HIV proviral loads at baseline and at 48 weeks and with replication-competent viral infectious units per million (IUPM) CD4 + T cells at baseline but not significantly at 48 weeks. Tat/Rev-, Env-, Gag-, and Vif-specific granzyme B responses correlated most strongly with reservoir control. There was no correlation of HIV-specific IFN-γ responses with reservoir size at baseline or at 48 weeks. The majority of granzyme B responses were contributed by CD8 + T cells. Thus, our findings suggest that the induction of potent granzyme B-producing CTLs to Tat, Rev, Env, Gag, and Vif during early infection may be able to prevent the establishment of a large viral reservoir, thereby facilitating a reduced HIV burden. IMPORTANCE A major barrier to the cure of human immunodeficiency virus type 1 (HIV-1) infection is the establishment of a viral reservoir that must be significantly reduced or eradicated entirely to enable a cure. Combined antiretroviral therapy (cART) alone is unable to clear this viral reservoir. It has been shown that CD8 + cytotoxic T lymphocytes (CTLs) are important in controlling early HIV infection by reducing plasma viremia. However, it is not known if these HIV-specific CTLs influence the establishment of the viral reservoir in early HIV infection. We show that HIV-specific granzyme B responses targeting HIV Tat/Rev, Env, Gag, and Vif, but not IFN-γ responses, are associated with reduced virus reservoirs at baseline and at 48 weeks of cART. These findings shed light on the nature of the effector CTL response that might limit reservoir size with implications for cure research and HIV vaccines.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.024
GPT teacher head0.260
Teacher spread0.236 · 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 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

Citations32
Published2017
Admission routes2
Has abstractyes

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