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Record W4293366487 · doi:10.1113/ep090642

Impairment in maximal lactate steady state after carbon monoxide inhalation is related to training status

2022· article· en· W4293366487 on OpenAlexafffund
Hilkka Kontro, Craig Bertagnolli, Juan M. Murias, Martin J. MacInnis

Bibliographic record

VenueExperimental Physiology · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRespiratory compensationInhalationLactate thresholdVentilation (architecture)Animal scienceVO2 maxAnaerobic exerciseRespiratory exchange ratioSteady state (chemistry)Heart rateAerobic exerciseChemistryRespiratory minute volumeRespiratory systemIncremental exerciseInternal medicineBlood lactateMedicineAnesthesiaPhysical therapyBlood pressureBiology

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? What is the effect of an elevated carboxyhaemoglobin (COHb) concentration following carbon monoxide inhalation on the maximal lactate steady state (MLSS) in humans and is this effect dependent on aerobic fitness? What is the main finding and its importance? An elevated COHb concentration intensified physiological responses to exercise at the MLSS – including heart rate, ventilation and peripheral fatigue – in general and reduced the MLSS (i.e., destabilized the blood lactate concentration) in trained but not untrained males and females. Abstract This study investigated whether a lower effective [Hb], induced by carbon monoxide (CO) inhalation, reduces the peak oxygen uptake () and the maximal lactate steady state (MLSS) and whether training status explains individual variation in these impairments. Healthy young participants completed two ramp incremental tests ( n = 20, 10 female) and two trials at MLSS ( n = 16, eight female) following CO rebreathe tests and sham procedures (SHAM) in random orders. All fitness variables were normalized to fat‐free mass (FFM) to account for sex‐related differences in body composition, and males and females were matched for aerobic fitness. The (mean (SD): −4.2 (3.7)%), peak power output (PPO) (−3.3 (2.2)%) and respiratory compensation point (RCP) (−6.3 (4.5)%) were reduced in CO compared with SHAM ( P < 0.001 for all), but the gas exchange threshold (−3.3 (7.1)%) was not ( P = 0.077). Decreases in ( r = −0.45; P = 0.047) and PPO ( r = −0.49; P = 0.029) in CO were correlated with baseline aerobic fitness. Compared to SHAM, physiological and perceptual indicators of exercise‐related stress were exacerbated by CO while cycling at MLSS. Notably, the mean blood lactate concentration ([La]) increased (i.e., Δ[La] >1.0 mM) between 10 min (5.5 (1.4) mM) and 30 min (6.8 (1.3) mM; P = 0.026) in CO, with 9/16 participants classified as unstable. These unstable participants had a higher (66.2 (8.5) vs. 56.4 (8.8) ml kg FFM −1 min −1 , P = 0.042) and at MLSS (55.8 (7.0) vs. 44.3 (7.0) ml kg FFM −1 min −1 , P = 0.006) compared to the stable group. In conclusion, a reduced O 2 ‐carrying capacity decreased maximal and submaximal exercise performance, with higher aerobic fitness associated with greater impairments in both.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.012
GPT teacher head0.272
Teacher spread0.260 · 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.

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

Citations13
Published2022
Admission routes2
Has abstractyes

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