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Record W4415201899 · doi:10.1152/physiol.00029.2025

BREATHING DURING EXERCISE: RESPIRATORY AND CIRCULATORY INTERACTIONS

2025· review· en· W4415201899 on OpenAlexafffund
A. William Sheel, Sarah A. Angus

Bibliographic record

VenuePhysiology · 2025
Typereview
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of WaterlooUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCirculatory systemRespiratory systemCardiac outputVentilation (architecture)BreathingVasomotorLungVenous return curve

Abstract

fetched live from OpenAlex

Under conditions of exercise the heart and lungs are linked in important ways. First, both the heart and lungs are linked in series as pumps for O2 and CO2 transport. Second they are mechanically linked owing to their location within the thorax. This means that changes in lung volume (and intrathoracic pressure) will influence cardiac filling and ejection. The respiratory muscles cyclically contract during exercise to allow for gas exchange. This ensures that the partial pressures of O2 and CO2 in the blood are largely kept within narrow limits, while the heart and circulatory system ensures gas transport to and from the tissues. The increase in metabolic rate during exercise requires substantial increases in both cardiac output and ventilation, meaning that cardiopulmonary interactions become more pronounced. In this review we explore they physiological interactions between the respiratory system and circulatory systems by asking two inter-related questions. First, what are the mechanical interactions between the respiratory and circulatory systems? Second, what are the respiratory influences on sympathetic vasomotor outflow and blood flow distribution during exercise? We end with a summary of recent studies that have addressed questions of respiratory-circulatory interactions with respect to sex differences and cardiopulmonary disease.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.039
GPT teacher head0.347
Teacher spread0.308 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes2
Has abstractyes

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