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Skeletal muscle: microcirculatory adaptation to metabolic demand

2000· review· en· W1974658433 on OpenAlexaff
Russell T. Hepple

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2000
Typereview
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Calgary
FundersU.S. Public Health Service
KeywordsSkeletal muscleAdaptation (eye)BiologyChemistryAnatomyNeuroscience

Abstract

fetched live from OpenAlex

The issue of whether skeletal muscle is master or slave of the cardiovascular system depends on frame of reference. Acute manipulations of convective O2 delivery clearly show that O2 supply sets the upper limit of muscle VO2max. However, studies of adaptation to chronic conditions such as training and hypoxia show that skeletal muscle has a remarkable capacity to meet changes in metabolic demand. Moreover, there are several lines of evidence that these adaptations are essential to changes in VO2max. Studies show that with training, electrical stimulation, and chronic hypoxia, the ratio of capillary surface per fiber surface and fiber mitochondrial volume/fiber length is preserved, suggesting a primary regulated feature in skeletal muscle is matching the structural capacity for O2 flux to mitochondrial metabolic demand. Adaptations in both capillarity and mitochondrial respiratory capacity have also been shown to be important components in the adaptive increase in VO2max with training. Collectively, this evidence argues against skeletal muscle being simply a slave to the cardiovascular system.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.313
Teacher spread0.287 · 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.

Study designOther design
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

Citations71
Published2000
Admission routes1
Has abstractyes

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