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Record W1999890268 · doi:10.1139/h08-040

An obsession with CO<sub>2</sub>This paper is a summary from the John Sutton Memorial Lecture at the Canadian Society for Exercise Physiology Annual Meeting, held in London, Ont., 14–17 November 2007.

2008· review· en· W1999890268 on OpenAlexaffvenueabout
Norman L. Jones

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBicarbonateLimitingHomeostasisChemistrypCO2Carbon dioxideCO2 contentBiochemistryPhysiologyInternal medicineBiologyEndocrinologyMedicine

Abstract

fetched live from OpenAlex

The concept that underlies this paper is that carbon dioxide (CO2) removal is at least as important as the delivery of oxygen for maximum performance during exercise. Increases in CO2 pressure and reductions in the pH of muscle influence muscle contractile properties and muscle metabolism (via effects on rate-limiting enzymes), and contribute to limiting symptoms. The approach of Barcroft exemplified the importance of integrative physiology, in describing the adaptive responses of the circulatory and respiratory systems to the demands of CO2 production during exercise. The extent to which failure in the response of one system may be countered by adaptation in another is also explained by this approach. A key factor in these linked systems is the transport of CO2 in the circulation. CO2 is mainly (90%) transported as bicarbonate ions--as such, transport of CO2 is critically related to acid-base homeostasis. Understanding in this field has been facilitated by the approach of Peter Stewart. Rooted in classical physico-chemical relationships, the approach identifies the independent variables contributing to homeostasis--the strong ion difference ([SID]), ionization of weak acids (buffers, Atot) and CO2 pressure (PCO2). The independent variables may be reliably measured or estimated in muscle, plasma, and whole blood. Equilibrium conditions are calculated to derive the dependent variables--the most important being the concentrations of bicarbonate and hydrogen ions. During heavy exercise, muscle [H+] can exceed 300 nEq.L-1 (pH 6.5), mainly due to a greatly elevated PCO2 and fall in [SID] as a result of increased lactate (La-) production. As blood flows through active muscle, [La-] increase in plasma is reduced by uptake of La- and Cl- by red blood cells, with a resultant increase in plasma [HCO3-]. Inactive muscle contributes to homeostasis through transfer of La- and Cl- into the muscle from both plasma and red blood cells; this results in a large increase in [HCO3-]. In the lungs, oxygenation of hemoglobin increases red blood cell [A-] aiding rapid conversion of HCO3- into CO2 in red cells (containing carbonic anhydrase), with diffusion of CO2 into alveoli, but full equilibration of the CO2 system in plasma may not occur during the short pulmonary capillary circulation time in heavy exercise. The ionization state of imidazole groups on protein histidine may provide integration between acid-base homeostasis, membrane anion transfer proteins, and activation of rate-limiting enzymes.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0050.006
Open science0.0020.003
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0160.011

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 head0.245
Teacher spread0.235 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2008
Admission routes3
Has abstractyes

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