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Record W4243469456 · doi:10.1155/2015/135367

24<sup>th</sup> Annual Canadian Conference on HIV/AIDS Research

2015· article· en· W4243469456 on OpenAlexaffabout
From Nairobi, Kenya Boily-Larouche, Lajoie, Omollo, Cheruiyot, Njoki, Oyugi, Fowke, Ali Vyboh, Brassard, Pierre C. Bélanger, Maud Chomont, Nicolas Ancuta, Petronela Routy, Jean-Pierre Montreal, Feras Al-Ghazawi, Parmar, Elliott Faller, Scott Sugden, Hafsa Cherid, Juzer Kakal, El Salfiti, Paul Ottawa, Alejandro Gómez, Ouellet, Tremblay, Kelly B. Arnold, Burgener, Birse, Romas, Dunphy, Shahabi, Abou, Kwatampora, Nyanga, Kimani, Masson, Liebenberg, Karim, Passmore, Lauffenburger, H Jiang, �. �. Arnol'd, Новак, Westmacott, Ball

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2015
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsManitoba Beekeepers' Association
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)VirologyLibrary scienceMedicineFamily medicineComputer science

Abstract

fetched live from OpenAlex

BACkGROUND: The C-type lectin CD161 is expressed by CD4+ and CD8+ T cells sharing conserved transcriptional and functional signature.CD4+ T cells with type-17 profiles derived from CD161+ precursors and CD161-expressing CD8+ T cells share the same differentiation profile and include the unique anti-bacterial CD161++ mucosal-associated invariant T cells (MAIT) expressing invariant TCR Vα7.2.During HIV infection, circulating cells harbouring the signature of CD161+ cells are impaired in blood and mucosal compartments.In the female genital tract (FGT), portal of entry for HIV infection, the pattern of CD161 expression on CD4+ and CD8+ subsets and how HIV infection impacts these compartments remain unknown.Here, we explore these questions by characterizing CD161-expressing cells in the FGT of chronically HIVinfected (n=16), HIV-negative newly practising sex work (n=36) and highly HIV-exposed seronegative (HESN) (n=33) female sex workers (FSW) from Nairobi, Kenya.RESULTS: When compared to blood, CD161+CD4+ T cells were enriched in the FGT of HIV-negatives.CD161+CD8+ T cells were also enriched in the FGT of new FSW but not in HESN.Circulating and cervical CD161-expressing cells harboured a more activated profile with tissue-homing properties (CD69, CCR5 and β7) on both CD4+ and CD8+ subsets.The CD161++ subsets included MAIT.Stimulated CD161++ and CD161+CD8+ cells expressed IL-22 at higher frequency than CD161-cells.Expression of IL-17A and IL-22 was enriched in FGT, but independently of CD161 expression in cervical CD4+ cells.CD161++CD8+ T cells were depleted in HIV-positives compared to new FSW in both blood and cervix, but depletion of CD161+CD8+ subset was only observed in cervix.CONCLUSION: Impairment of the IL-17A/IL-22-enriched CD161+ +CD8+ and CD161+ subsets was observed for the first time in the FGT of HIV-infected FSW.Also, the absence of cervical enrichment of CD161+CD8+ cells in HESN agrees with a protective reduction of cervical inflammation.In contrast to blood, CD161 expression did not efficiently describe type-17 CD4+ T cells in the FGT.The FGT unique environment may importantly impact T cells plasticity promoting Th17 differentiation independently of CD161 expression.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.988
Threshold uncertainty score0.755

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0070.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2220.087

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 head0.035
GPT teacher head0.330
Teacher spread0.295 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes2
Has abstractyes

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