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Record W2904314068 · doi:10.1161/hyp.72.suppl_1.p283

Abstract P283: Gamma Delta T Cells Drive CD4 <sup>+</sup> and CD8 <sup>+</sup> T Cell Activation in Hypertension

2018· article· en· W2904314068 on OpenAlexaff
Pierre Paradis, Antoine Caillon, Ernesto L. Schiffrin

Bibliographic record

VenueHypertension · 2018
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsT cellCD8SpleenInternal medicineEndocrinologyFlow cytometryInterleukin 21Immune systemT lymphocyteImmunologyMedicineBiologyMolecular biology

Abstract

fetched live from OpenAlex

Objective: Both innate (monocyte/macrophages) and adaptive immune cells (T lymphocytes) have been shown to play a role in hypertension and vascular injury. Recently, we demonstrated that a small subset of “innate-like” T lymphocytes, expressing the γδ T cell receptor (TCR) rather than the αβ TCR, plays a key role in hypertension and vascular injury. We demonstrated an increased number and activation (CD69 + ) of γδ T cells during the development of hypertension caused by angiotensin (Ang) II infusion, and that deficiency in γδ T cells prevented Ang II-induced hypertension, resistance artery endothelial dysfunction and spleen T-cell activation in mice. We hypothesized that γδ T cells mediate activation of other T cells in hypertension. Method: C57BL/6 male mice were infused with Ang II (490 ng/kg/min, SC) for 7 and 14 days (n=5-7). All mice were 14-15 week-old at the end of the study. Spleen T cell profile was determined by flow cytometry. γδ and αβ T cells were isolated using magnetic beads from peripheral lymph nodes and spleen of 8 to 9-week-old C57BL/6 male mice. αβ T cells were cultured alone or with γδ T cells (5:1) in presence of anti-CD3 antibodies plus or minus Ang II, and αβ T cell activation was evaluated by flow cytometry. Results: Close correlations were demonstrated between the number (#) of activated CD69 + γδ T cells and CD4 + CD69 + T cells (r 2 =0.74, P &lt;0.01) and CD8 + CD69 + T cells (r 2 =0.64, P &lt;0.01) after 7-day Ang II. These correlations decreased after 14-day Ang II. Correlations were also shown between the # of CD27 + CD69 + γδ T cells and CD4 + CD69 + T cells (r 2 =0.76, P &lt;0.001) and CD8 + CD69 + T cells (r 2 =0.65, P &lt;0.01) after 7-day Ang II. In vitro , Ang II increased the fraction of CD69 + αβ T cells when αβ T cells were co-cultured with γδ T cells (% of αβ T cells: 19.9±2.9 vs. 16.4±2.6, P &lt;0.001) but not when cultured alone (% of αβ T cells: 13.7±0.7 vs. 12.7±0.6). A correlation between the fraction of CD69 + γδ T cells and CD69 + αβ T cells was also observed (r 2 =0.69, P &lt;0.001). Conclusion: These results suggest that γδ T cells mediate activation of αβ T cells in Ang II-induced hypertension. Targeting γδ T cells may contribute to reduce the low-grade inflammation found 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.031
GPT teacher head0.254
Teacher spread0.223 · 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 teacher head, not a consensus.

Study designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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