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Record W1546628751 · doi:10.1113/jphysiol.2013.267476

Slowed muscle oxygen uptake kinetics with raised metabolism are not dependent on blood flow or recruitment dynamics

2014· article· en· W1546628751 on OpenAlexafffund
Rob C. I. Wüst, James R. McDonald, Yi Sun, Brian S. Ferguson, Matthew J. Rogatzki, Jessica Spires, John M. Kowalchuk, L. Bruce Gladden, Harry B. Rossiter

Bibliographic record

VenueThe Journal of Physiology · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsWestern University
FundersBiotechnology and Biological Sciences Research CouncilNatural Sciences and Engineering Research Council of Canada
KeywordsIsometric exercisePerfusionContraction (grammar)ChemistryStimulationBlood flowInternal medicineMuscle contractionGastrocnemius muscleAnatomyEndocrinologyMedicineSkeletal muscle

Abstract

fetched live from OpenAlex

Key points A slow adjustment of skeletal muscle oxygen uptake ( ) to produce energy during exercise predisposes to early fatigue. In human studies, kinetics are slow when exercise is initiated from an elevated baseline; this is proposed to reflect slow blood flow regulation and/or recruitment of muscle fibres containing few mitochondria. To investigate this, we measured kinetics in canine muscle, with experimental control over muscle activation and blood flow. We found that kinetics remained slow when contractions were initiated from an elevated baseline despite experimentally increased blood flow and uniform fibre activation. These data challenge our current understanding of the control of muscle and demand consideration of new alternative mediators for control. Abstract Oxygen uptake kinetics (τ ) are slowed when exercise is initiated from a raised metabolic rate. Whether this reflects the recruitment of muscle fibres differing in oxidative capacity, or slowed blood flow ( ) kinetics is unclear. This study determined τ in canine muscle in situ , with experimental control over muscle activation and during contractions initiated from rest and a raised metabolic rate. The gastrocnemius complex of nine anaesthetised, ventilated dogs was isolated and attached to a force transducer. Isometric tetanic contractions (50 Hz; 200 ms duration) via supramaximal sciatic nerve stimulation were used to manipulate metabolic rate: 3 min stimulation at 0.33 Hz (S1), followed by 3 min at 0.67 Hz (S2). Circulation was initially intact (SPON), and subsequently isolated for pump‐perfusion (PUMP) above the greatest value in SPON. Muscle was determined contraction‐by‐contraction using an ultrasonic flowmeter and venous oximeter, and normalised to tension‐time integral (TTI). τ /TTI and τ were less in S1 SPON (mean ± s.d.: 13 ± 3 s and 12 ± 4 s, respectively) than in S2 SPON (29 ± 19 s and 31 ± 13 s, respectively; P < 0.05). τ /TTI was unchanged by pump‐perfusion (S1 PUMP , 12 ± 4 s; S2 PUMP , 24 ± 6 s; P < 0.001) despite increased O 2 delivery; at S2 onset, venous O 2 saturation was 21 ± 4% and 65 ± 5% in SPON and PUMP, respectively. kinetics remained slowed when contractions were initiated from a raised metabolic rate despite uniform muscle stimulation and increased O 2 delivery. The intracellular mechanism may relate to a falling energy state, approaching saturating ADP concentration, and/or slowed mitochondrial activation; but further study is required. These data add to the evidence that muscle control is more complex than previously suggested.

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)0.001
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 score0.867
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.261
Teacher spread0.232 · 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

Citations27
Published2014
Admission routes2
Has abstractyes

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