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Record W2989843386

HIV infection is associated with preservation of MAIT cells in the lungs but alteration of their phenotype and T cell receptor repertoire

2016· article· en· W2989843386 on OpenAlexaff
Emily Wong, Bongiwe Z. Xulu, Sanjay M. Prakadan, Alex K. Shalek, Umesh Lalloo, Prinita Baijnath, Moosa Suleman, V. Moodley, M Mitha, Priya Maharaj, Cecilia T. Costiniuk, Morten Nielsen, Zoey Mhlane, Farina Karim, David Lewinsohn, Thumbi Ndung’u

Bibliographic record

VenueTechnical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhenotypeMedicineRepertoireHuman immunodeficiency virus (HIV)ImmunologyReceptorCellVirologyBiologyGeneticsGeneInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Background: High dietary fats were reported to induce intestinal dysbiosis, drive gut inflammation and breakdown the intestinal epithelial barrier, granting intestinal flora access to the bloodstream.As microbial translocation is a major determinant of the chronic immune activation and HIV/SIV disease progression, we investigated whether fat diet impacts HIV/SIV pathogenesis.Methods: The nonprogressive African green monkey (AGM) model of SIV is an ideal system to assess the role of fat diet on disease progression, because they do not develop SIV-related intestinal dysfunction.We included 4 AGMs that received a fat diet prior and after SIVsab infection, and 5 controls in which the impact on key parameters of SIV infection such as: viral loads, CD4 + T cell counts, microbial translocation, immune activation and inflammation were compared and contrasted.Results: LPS levels increased in the AGMs receiving fat diet prior and after SIV infection.Fat-rich diet also resulted in increases of immune activation (HLA-DR CD38, CD69 and Ki-67) and inflammation (inflammatory cytokines-IL-6, IL-17 and C reactive protein), leading to a prolonged depletion of CD4 + T cells compared to controls.However, these significant alterations of key parameters that are associated with the lack of disease progression in natural hosts of SIVs did not reach the levels described during progressive HIV/SIV infection.Furthermore, these changes did not result in significant increases in the levels of viral replication in the AGMs receiving a fat diet.Conclusions: Administration of fat-rich diet resulted in alterations of markers of pathogenicity in the nonprogressive SIV infection of AGMs.Although not major, these changes were significant, suggesting that a diet very rich in fats may negatively impact HIV pathogenesis, especially if combined with other behavioral risk factors reported to impact gut integrity or systemic inflammation, such as alcohol consumption, drug usage and smoking.Detailed studies on the correlations between fat diet, alterations in the intestinal microbiota, metabolic markers, liver function and SIV progression to AIDS are in progress.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.009
GPT teacher head0.176
Teacher spread0.167 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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