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Record W2971939747 · doi:10.1161/hyp.74.suppl_1.126

Abstract 126: Role of <i>V</i> γ6 <sup>+</sup> γδ T Cells in Angiotensin Il-Induced Hypertension and Vascular Injury

2019· article· en· W2971939747 on OpenAlexaff
Ahmad Mahmoud, Antoine Caillon, Pierre Paradis, Ernesto L. Schiffrin

Bibliographic record

VenueHypertension · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsT cellAngiotensin IICD8MedicineInternal medicineImmune systemEndocrinologySpleenLymphT-cell receptorInflammationAdipose tissueImmunologyBiologyReceptorPathology

Abstract

fetched live from OpenAlex

Introduction: Both innate and adaptive immune cells (such as T lymphocytes) have been shown to play a role in hypertension and vascular injury. Recently, we demonstrated that a small subpopulation of T cells considered "innate-like", expressing the γδ T-cell receptor (TCR) rather than the much more frequent αβ TCR, plays a key role in hypertension and vascular injury. The number and activation of γδ T cells were increased after 7 days of angiotensin (Ang) II infusion, and absence of γδ T cells prevented the development of hypertension, endothelial dysfunction of resistance arteries, and activation of CD4 + and CD8 + T cells in mice infused with Ang II for 14 days. γδ T cells can be subdivided according to the TCR variant (V) subtype that is generally specific for a tissue. A subpopulation of γδ T cells in the lungs and skin that are Vγ6 + and produce interleukin (IL)-17A was shown to respond promptly to pneumococcal infection and skin inflammation. However, γδ T cell Vγ subtypes involved in hypertension are still unknown. We hypothesized that γδ T cells involved in hypertension are Vγ6 + . Methods: Eleven- to 13-week old C57BL/6J male mice were infused or not with Ang II (490 ng /kg /min, sc) for 14 days (n = 5-14), and γδ T cell Vγ subtypes were profiled by flow cytometry in the spleen, mesenteric lymph nodes (MLNs), thoracic aortic (TA), perivascular adipose tissue (PVAT) and mesenteric artery (MA) PVAT. Results: In spleen and MLNs the most abundant γδ T cell Vγ subtypes were Vγ1,2 + and Vγ4 + followed by Vγ6 + , Vγ5 + and Vγ7 + . In TA PVAT, the most abundant γδ T cell Vγ subtype was Vγ6 + followed by Vγ4 + , Vγ1,2 + , Vγ5 + and Vγ7 + . In MA PVAT, the most abundant γδ T cell Vγ subtype was Vγ6 + followed by Vγ4 + , Vγ7 + , Vγ5 + and Vγ1,2 + . Ang II infusion increased the frequency of Vγ6 + γδ T cells in the spleen (% of CD3 + T cells: 0.77±0.09 vs. 0.5±0.02, P <0.01) and TA PVAT 5.9±0.8 vs. 3.6±0.4, P <0.01), whereas it only tended to increase in MA PVAT 14.5±1.7 vs. 10.2± 1.9, P =0.07). The Vγ6 + γδ T cell frequency in MLNs was unaffected by Ang II infusion. Conclusion: A differential distribution of γδ T cell Vγ subtypes was observed in lymphoid organs compared to PVAT. Vγ6 + γδ T cells may play a role in hypertension. Targeting Vγ6 + γδ T cells could be a therapeutic approach to reduce inflammation in hypertension.

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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.184
Teacher spread0.175 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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