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Acute exercise alters circulating and local tissue renin‐angiotensin systems

2008· article· en· W2257364891 on OpenAlexaff
Justin C.S. Chung, James W. E. Rush

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInternal medicineEndocrinologyRenin–angiotensin systemMedicineKidneyAngiotensin IIAortaPlasma renin activityReceptorBlood pressure

Abstract

fetched live from OpenAlex

Although the renin‐angiotensin system (RAS) plays an intricate role in coordinating vascular adaptations to exercise, there is a paucity of information regarding changes to circulating and local RAS associated with acute exercise. Thus, we investigated the modifications to circulating, aorta and kidney RAS in exercised male Sprague Dawley rats. Rats were exercised for 1h and euthanized immediately (IPEx) or 24h post exercise (24PEx, n=10 per group). Compared to non exercised control (CON), plasma ACE activity decreased IPEx, while 24PEx activity decreased further (85.61 ± 3.53 U/L; 75.28 ± 2.87 U/L; 62.03 ± 3.33 U/L, p<0.05 (U = μmol/min)). Plasma angiotensin II levels were increased IPEx (77.04 ± 16.71 pg/mL vs. 151.22 ± 25.42 pg/mL, p<0.05), but 24PEx levels were comparable to CON (81.19 ± 13.62 pg/mL, p>0.05). Compared to CON, aorta ACE activity decreased IPEx and remained blunted 24PEx (0.798 ± 0.03 U/g; 0.661 ± 0.05 U/g; 0.572 ± 0.03 U/g, p<0.05). Aorta ACE protein decreased ∼42% IPEx compared to CON and 24PEx (p<0.05). Kidney ACE activity increased IPEx (CON: 0.526 ± 0.03 U/g; IPEx: 0.648 ± 0.04 U/g; 24PEx: 0.489 ± 0.03 U/g, p<0.05). Upregulation of kidney ACE protein was observed IPEx (+42%) and 24PEx (+77%) (p<0.05). This study highlights changes in systemic and organ‐specific local RAS in response to acute exercise, which may be essential to the beneficial changes observed in chronic exercise. Funding: NSERC / HSFO

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.248
Teacher spread0.233 · 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 designCase report
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
Published2008
Admission routes1
Has abstractyes

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