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Effects of exercise on cerebrovascular and brain function in the setting of heart failure

2025· article· en· W4411879790 on OpenAlexaff
Cameron J. Morse, Natasha G. Boyes, Adam M.S. Luchkanych, Katie Turnbull, M. Rafique Khan, Ibrahim Al-Mouaiad Al-Azem, Thomas J. Jurrissen, Yehia El Karsh, Darrell D. Mousseau, Michael Kelly, Corey R. Tomczak, T. Dylan Olver

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHeart failureCardiologyInternal medicineMedicineBrain functionNeurosciencePsychology

Abstract

fetched live from OpenAlex

Background: Heart failure (HF) is associated with reduced cerebral perfusion, which may lead to impaired neurogenesis. Exercise training (EX) has been proven to increase cerebral perfusion and neurogenesis. Using a rodent model of HF, this study tested two hypotheses: EX recovers (1) reduced cerebral perfusion and (2) reduced neurogenesis in the subventricular zone of the lateral ventricle in the setting of HF. This region was selected as newborn neurons generated there may be involved in neuroplasticity and repair. Methods: Male Sprague Dawley rats underwent either a sham ( n =13) or left anterior descending coronary artery ligation (model of HF; n=25 ). HF rats were subdivided into sedentary (HF-SED; n =11) or EX (HF-EX ; n =14). Exercise consisted of progressive treadmill running (3-days/week). Internal carotid artery blood flow (BF; perivascular flow probe) and cardiac output (CO; echocardiography) were measured at 6- or 12-weeks post-ligation. Injections of 5-ethynyl-2’-deoxyuridine (EdU; 50ug/kg/day for 3-days) were performed two weeks prior to euthanasia at 6- or 12-weeks. EdU is a thymine analogue used to assess cell proliferation. Following euthanasia, rat brains were harvested, stained for EdU, and counterstained for neuronal N (NeuN) to quantify neurogenesis. Results: Internal carotid artery BF was not lower in the HF-SED vs. the Sham-SED groups at either time point (6- and 12-weeks pooled: HF-SED: 8.6±3.8 ml/min and 12.3±4.8 %CO, Sham-SED: 11.1±3.1 ml/min and 14.4±4.5 %CO, HF-EX: 11.2±6.1 ml/min and 15.9±10.3 %CO, P≥0.44). However, absolute internal carotid artery BF and BF scaled as a percentage of total CO were greater in the HF-EX group compared to both the Sham-SED and HF-SED groups at the 12-week timepoint (12-weeks: HF-SED: 9.7±5.0 ml/min and 12.3±6.2 %CO, Sham-SED: 12.0±3.9 ml/min and 15.0±5.0 %CO, HF-EX: 17.8±1.8 ml/min and 23.5±9.4 %CO, P≤0.03). In the anterior lateral ventricle, the total number of EdU + cells were similar across groups (Sham-SED: 369±129 mm 2 , HF-SED: 309±119 mm 2 , HF-EX: 363±166 mm 2 , P≥0.24). However, at 12 weeks the number of EdU + cells co-labeled with NeuN + was lower in the HF-SED vs. Sham-SED group (Sham-SED: 157±102 mm 2 , HF-SED: 41±26 mm 2 , P=0.02), but approached significance in the HF-EX vs. Sham-SED group (HF-EX: 76±60 mm 2 , P=0.07). Conclusions: The major novel finding of this work shows that HF alone results in deficits in neurogenesis in the subventricular zone of lateral ventricle, suggestive perhaps of reduced neuroplasticity. Further, we show EX provides modest protection against HF-induced deficits, highlighting its critical role in cardiac rehabilitation. Heart & Stroke Foundation, NSERC This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.229
Teacher spread0.226 · 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
Published2025
Admission routes1
Has abstractyes

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