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Do Carotid Chemoreceptors Contribute to Hyperthermia Induced Hyperventilation in Exercising Humans?

2018· article· en· W3175050662 on OpenAlexaff
Naoto Fujii, Yasushi Honda, Glen P. Kenny, Takeshi Nishiyasu

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of Ottawa
FundersJapan Society for the Promotion of Science
KeywordsHyperventilationHyperthermiaCarotid bodyChemoreceptorPeripheral chemoreceptorsVentilation (architecture)HyperpneaAnesthesiaMedicineInternal medicineHypoxia (environmental)Central chemoreceptorsChemistryCardiologyOxygenRespiratory systemCarotid arteries

Abstract

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Hyperthermia increases ventilation in resting and exercising humans (White, J Appl Physiol 101: 655–663, 2006; Fujii et al. J Appl Physiol 104:998–1005, 2008), though what mechanisms mediate this response remains unclear. Carotid chemoreceptors can contribute to ventilatory regulation. Since hyperthermia can augment carotid chemoreceptor activity as demonstrated under in vitro conditions (Eyzaguirre and Zapata, J Appl Physiol 57: 931–957, 1984), this increased activity may in part mediate hyperthermia induced hyperventilation in humans. Regarding this, we previously reported that carotid chemoreceptor is not a main factor mediating hyperthermia induced hyperventilation at rest (Fujii et al. Exp Physiol 93: 994–1001, 2008). However, given hyperthermia induced hyperventilation differs between rest and exercise (Fujii et al. J Appl Physiol 104:998–1005, 2008), the results obtained at rest may not be representative of the response in exercise. Therefore, the purpose of this study was to evaluate whether carotid chemoreceptors contribute to hyperthermia‐induced hyperventilation in exercising humans. Eleven healthy young males (21 ± 3 years) performed cycling in the heat (37 °C) (35–55 min) at a fixed submaximal workload equal to ~55% of the individual's pre‐determined peak oxygen uptake. In order to suppress carotid chemoreceptor activity, 30‐s hyperoxic breathing (100% O 2 ) was performed at rest (before exercise), 5 min into exercise, as well as at increasing levels of hyperthermia as defined by an increase in esophageal temperature (an index of body core temperature) of 0.5, 1.0, and 1.5 °C above levels measured at 5‐min into exercise. Ventilation during exercise gradually increased as esophageal temperature increased (all P < 0.05), indicating that hyperthermia induced hyperventilation occurred. Carotid chemoreceptor inhibition with hyperoxic breathing suppressed ventilation at rest as well as during exercise regardless of the level of hyperthermia (all P < 0.05). Hyperoxia induced changes in ventilation (as assessed by % change from pre‐hyperoxic level) were −15 ± 7 % at rest and −15 ± 6 % at 5 min into exercise. The hyperoxia induced changes in ventilation during exercise for an esophageal temperature increase of 0.5, 1.0, and 1.5 °C were −18 ± 7 %, −17 ± 7 %, and −19 ± 8 %, all of which were not different from the 5‐min exercise level (all P > 0.05). These results demonstrate that carotid chemoreceptor contribution to ventilation during exercise is not modulated by the level of hyperthermia. Thus, we show that carotid chemoreceptors are not largely involved in the regulation of hyperthermia induced hyperventilation in exercising humans irrespective of state of hyperthermia. Support or Funding Information This study was supported by the grants from Ministry of Education, Culture, Sports, Science and Technology in Japan and Japan Society for the Promotion of Science. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
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 head0.021
GPT teacher head0.275
Teacher spread0.254 · 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
Published2018
Admission routes1
Has abstractyes

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