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Record W2109801615 · doi:10.1113/jphysiol.2012.247304

The essential role of peripheral respiratory chemoreceptor inputs in maintaining breathing revealed when CO <sub>2</sub> stimulation of central chemoreceptors is diminished

2013· article· en· W2109801615 on OpenAlexafffund
Marie‐Noëlle Fiamma, Edward T. O’Connor, Arijit Roy, Ines Zuna, Richard J. A. Wilson

Bibliographic record

VenueThe Journal of Physiology · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsChemoreceptorCarotid bodyStimulationCentral chemoreceptorsPeripheral chemoreceptorsBrainstemHypercapniaPeripheralRespiratory systemPhrenic nerveControl of respirationRespiratory centerAnesthesiaInternal medicineMedicineEndocrinologyChemistry

Abstract

fetched live from OpenAlex

Key points Central sleep apnoea is a condition characterized by oscillations between apnoea and hyperpnoea during sleep, which can have many serous health implications. Each ventilatory overshoot following an apnoea attenuates peripheral chemoreceptor input which, in turn, has the potential to cause a further apnoea. In a decerebrate, vagotomized, in situ rat preparation, we show that central apnoeas can be overcome both physiologically (with high peripheral CO 2 ) and pharmacologically (with peripheral pituitary adenylate cyclase‐activating peptide). We also show that the central apnoeic threshold, i.e. the CO 2 level at which the animal stops breathing, can be lowered by increasing peripheral chemoreceptor stimulation. These data suggest that stimulation of peripheral chemoreceptors may prevent central apnoeas, re‐affirming the peripheral chemoreceptors as possible therapeutic targets for some sleep apnea phenotypes. Abstract Central sleep apnoea is a condition characterized by oscillations between apnoea and hyperpnoea during sleep. Studies in sleeping dogs suggest that withdrawal of peripheral chemoreceptor (carotid body) activation following transient ventilatory overshoots plays an essential role in causing apnoea, raising the possibility that sustaining carotid body activity during ventilatory overshoots may prevent apnoea. To test whether sustained peripheral chemoreceptor activation is sufficient to drive breathing, even in the absence of central chemoreceptor stimulation and vagal feedback, we used a vagotomized, decerebrate dual‐perfused in situ rat preparation in which the central and peripheral chemoreceptors are independently and artificially perfused with gas‐equilibrated medium. At varying levels of carotid body stimulation (CB P O2 / P CO2 : 40/60, 100/40, 200/15, 500/15 Torr), we decreased the brainstem perfusate P CO2 in 5 Torr steps while recording phrenic nerve activity to determine the central apnoeic thresholds. The central apnoeic thresholds decreased with increased carotid body stimulation. When the carotid bodies were strongly stimulated (CB 40/60), the apnoeic threshold was 3.6 ± 1.4 Torr P CO2 (mean ± SEM, n = 7). Stimulating carotid body afferent activity with either hypercapnia (60 Torr P CO2 ) or the neuropeptide pituitary adenylate cyclase‐activating peptide restored phrenic activity during central apnoea. We conclude that peripheral stimulation shifts the central apnoeic threshold to very hypocapnic levels that would likely increase the CO 2 reserve and have a protective effect on breathing. These data demonstrate that peripheral respiratory chemoreceptors are sufficient to stave off central apnoeas when the brainstem is perfused with low to no CO 2 .

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.257
Teacher spread0.242 · 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".

Quick stats

Citations31
Published2013
Admission routes2
Has abstractyes

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