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64 LOW SALT DIET AFFECTS ANGIOTENSIN RECEPTOR REGULATION ON MONOCYTES AND NEUTROPHILS IN HUMANS

2012· article· en· W2324857494 on OpenAlexaff
Branko Braam, Steve Kulak, David Kim, Bin Xu, Wenqing Zhuang

Bibliographic record

VenueJournal of Hypertension · 2012
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAngiotensin IIInternal medicineEndocrinologyMedicineReceptorAngiotensin II receptor type 1Ex vivoStimulationRenin–angiotensin systemAngiotensin receptorReceptor expressionCytokineIn vitroChemistryBiochemistryBlood pressure

Abstract

fetched live from OpenAlex

Background: Angiotensin II (Ang II) is a key player in hypertension, inflammation and oxidative stress and atherosclerosis. Circulating cells reportedly express AT1 receptors (AT1R). In the present study we assessed AT1R and AT2R in monocytes (MONO) and neutrophils (NEUTRO) during manipulations in salt intake and upon ex vivo cytokine and Ang II stimulation in healthy humans. Methods and results: MONO, NEUTRO more than B-cells, but not T-cells, expressed AT1R AT2R assessed by FACS on fresh whole blood (n = 10). Sodium excretion was 145±37/d, 18±15 mmol/d and 197±81 mmol/d at baseline, low salt and high salt (P<0.01). Low salt did not affect MONO or NEUTRO AT1R or AT2R expression. Stimulation of whole blood with Ang II, a combination of IL6, IFN and TNFα (CytMix) or a combination (Ang+CytMix) for 4 h ex vivo at 37C did not affect AT1R in MONO or NEUTRO at baseline or high salt, but CytMix and CytMix+Ang increased AT1R during low salt. Interestingly, in NEUTRO, the AT2R displayed a decrease upon CytMix and CytMix+Ang, not dependent upon salt intake. Conclusions: MONO and NEUTRO express AT1R and AT2R. Low salt did not affect AT2R or AT1R expression. During low salt intake, MONO and NEUTRO stimulated with CytMix or CytMix+Ang displayed increased AT1R expression. This study shows that salt intake differentially affects AT1R and AT2R expression in leukocyte subtypes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.040
GPT teacher head0.276
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 teacher head, 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
Published2012
Admission routes1
Has abstractyes

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