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The Effect Of Enhanced Cardiac Contractility On Vertebral Artery Blood Flow In Heat-stressed Individuals

2025· article· en· W4414244549 on OpenAlexaff
Manabu Shibasaki, Gilbert Moralez, Takuro Washio, Satyam Sarma, Michinari Hieda, Steven A. Romero, Matthew N. Cramer, Shigehiko Ogoh, Craig G. Crandall

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2025
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsDepartment of National DefenceDefence Research and Development Canada
Fundersnot available
KeywordsBlood flowCerebral blood flowBlood pressureInternal carotid arteryVertebral arteryHemodynamicsOrthostatic vital signsContractility

Abstract

fetched live from OpenAlex

Blood supply to the brain originates from the internal carotid arteries (ICA) and vertebral arteries (VA). The responsiveness of the ICA and VA blood flows to various stresses, such as changes in partial pressure of carbon dioxide (PCO2), orthostatic stress, exercise, and others is not always identical. Thus, changes in flow through these arteries to changes in intravascular pressures and/or temperature may differ, which may affect cerebral circulation in hyperthermia. PURPOSE: To characterize ICA and VA blood flow responses to a beta-1 agonist, dobutamine, under normothermia and during heat stress. METHODS: Nine healthy volunteers participated in this study. Intravenous dobutamine (DOB) was administered for 12 min at a dose of 5 μg/kg/min, followed by 12 min at a dose of 15 μg/kg/min, both under normothermia and during heat stress conditions. In addition to the blood flow in the ICA and VA, blood flow through the external carotid artery (ECA) was measured via vascular ultrasound. RESULTS: DOB infusion increased the peak systolic mitral annular velocity (S'), i.e., an index of left ventricular longitudinal systolic function, and systolic blood pressure. Despite these responses, ICA and VA blood flows decreased during the DOB challenge in normothermia, while ECA blood flow increased (see Table). During the DOB challenge while heat stressed, only VA blood flow decreased, with ICA and ECA blood flows remaining unchanged. Interestingly, at the high dose of DOB, retrograde flow was observed in the VA but not in the ICA, which remained antegrade flow. CONCLUSION: These data suggest that flow through the VA is more susceptible to the combined effects of pressure and temperature compared to blood flows through the ICA and ECA. - normothermia heat stress rest low DOB high DOB rest low DOB high DOB Heart rate, bpm 65±12 67±12 102±19 †‡ 99±15 * 113±21 *† 145±19 *†‡ Systolic blood pressure, mmHg 116±10 139±14 † 174±19 †‡ 120±19 132±22 † 140±31 *†‡ Diastolic blood pressure, mmHg 67±7 67±6 62±5 56±10 * 50±9 * 45±9 *† Mean blood pressure, mmHg 83±7 91±7 † 99±9 †‡ 78±8 * 77±11 * 77±16 * S’, cm/s 9.4±0.9 13.9±1.7 † 19.5±4.4 †‡ 13.9±2.1 * 21.5±2.8 *† 27.7±5.2 *†‡ ICA blood flow, cm/min 318.8±64.7 293.3±51.6 † 301.8±53.2 † 292.3±48.4 * 286.1±56.8 273.9±58.5 * ECA blood flow, cm/min 104.4±43.5 123.7±45.7 † 167.4±69.4 †‡ 262.7±114.8 * 272.2±118.5 * 267.3±104.2 * VA blood flow, cm/min 154.6±46.5 141.3±40.7 131.9±43.6 † 140.4±36.4 128.0±35.5 101.6±23.9 *†‡ End-tidal PCO2, mmHg 47.9±2.8 43.9±4.1 † 43.2±2.5 † 44.1±3.4 * 40.9±5.4 † 36.4±5.6 *†‡ *:p < 0.05 from normothermia,†:p < 0.05 from rest for that thermal state,‡:p < 0.05 from low DOB for that thermal state Supported by: 18H03166

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.270
Teacher spread0.265 · 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 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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