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Effect of Central Chemoreceptors on the Peripheral Chemoreflex Response to Hypoxia

2023· article· en· W4378648894 on OpenAlexaffabout
Nasimi A. Guluzade, Joshua D. Huggard, James Duffin, Daniel A. Keir

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsChemoreceptorCentral chemoreceptorsPeripheral chemoreceptorsAnesthesiaHypoxia (environmental)PeripheralChemistryHypercapniaRespiratory systemInternal medicineOxygenMedicineReceptor

Abstract

fetched live from OpenAlex

In the absence of central chemoreceptor input, the slope of the hypoxic ventilatory response (HVR) to progressive oxyhemoglobin desaturation (L·min-1·mmHg-1·%SaO2-1) – a measure of peripheral chemoreflex sensitivity – increases linearly with carbon dioxide tension (PCO2). We assessed whether this relationship remains linear with increasing central PCO2 in humans. Over four days, 20 participants (10 females; mean±SD age: 24±4 years) completed three repetitions of modified rebreathing with end-tidal PO2 (PETO2) clamped at 150, 70, 60, and 45 mmHg. End-tidal PCO2 (PETCO2), PETO2, ventilation (V̇E), and SaO2 were measured breath-by-breath by dual gas analyser, pneumotach, and pulse oximetry. The V̇E vs PETCO2 relationship in the hyperoxic test gave the central chemoreflex response to PCO2 and the hypoxic tests provided a combined central-peripheral chemoreflex response. The V̇E vs PETCO2 relationship of repeated trials were linear-interpolated, combined, averaged into 1 mmHg bins, and fit with a linear function (V̇ES, L·min-1·mmHg-1) to provide hyperoxic and hypoxic profiles. HVR was computed at 1 mmHg intervals of PETCO2 as follows: the difference in V̇E between the three hypoxic profiles and the hyperoxic profile (ΔV̇E) was calculated; these three ΔV̇E values were plotted against their corresponding SaO2; and linear regression determined HVR (L·min-1·mmHg-1·%SaO2-1). Steps were repeated at each PETCO2 to produce the HVR vs PCO2 relationship. Each participant’s HVR vs PETCO2 relationship was fit with a linear and polynomial function and Akaike Information Criterion identified the best-fit model. One-way repeated measures analysis of variance assessed between-condition differences. V̇ES rose (p<0.001) with isoxic PO2 from 3.7±1.5 L·min-1·mmHg-1 at 150 mmHg to 4.4±1.8, 5.0±1.6, and 6.0±2.2 L·min-1·mmHg-1 at 70, 60, and 45 mmHg, respectively. Mean SaO2 fell progressively (99.3%, 93.7%, 90.4%, and 80.5% for 150, 70, 60, and 45 mmHg, respectively; p<0.001). In all individuals, HVR increased with PETCO2 and this relationship was best described by a linear model in 75% of participants. In most participants, the peripheral chemoreflex-mediated HVR maintained a linear relationship with PETCO2 despite increasing central chemoreflex activation. Data suggest that central chemoreceptors did not alter the peripheral chemoreflex response to low O2. Natural Sciences and Engineering Research Council of Canada This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology 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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.272
Teacher spread0.262 · 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 designBench or experimental
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

Citations0
Published2023
Admission routes2
Has abstractyes

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