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Record W4411429697 · doi:10.3389/fphys.2025.1553471

A novel short-course, low-intensity blood-flow-restricted exercise (BFRE) regimen to study satellite cell function in critical illness survivors with sustained muscle atrophy following intensive care unit-acquired weakness (ICUAW)

2025· article· en· W4411429697 on OpenAlexafffund
Sunita Mathur, Nathalia Parente de Sousa Maia, Manoela de Paula Ferreira, Christian Martin, Christina Doherty, Judy Correa, Caterina Di Ciano‐Oliveira, Pamela Plant, Jane Batt

Bibliographic record

VenueFrontiers in Physiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersTemerty Faculty of Medicine, University of TorontoCanadian Institutes of Health Research
KeywordsMedicineSpaceflightMuscle weaknessPhysical medicine and rehabilitationIntensive care unitRegimenAtrophyMuscle atrophyPhysical therapyWeaknessSatelliteBlood flowIntensive care medicineInternal medicineSurgery

Abstract

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Introduction: ICU-acquired weakness (ICUAW) develops in critically ill patients and can persist after hospital discharge, resulting in physical disability. Decreased satellite cell content is reported in the atrophic muscle of critical illness survivors, suggesting that the sustained muscle wasting results from satellite cell dysfunction and impaired muscle regeneration. Intense resistance exercise stimulates satellite cell proliferation and can be used to study the satellite cell role in persisting muscle atrophy following ICU discharge; however, the intensity of exercise required can be intolerable for older or frail ICU survivors. This study tested the capacity of a novel low-intensity, short-duration blood-flow-restricted exercise (BFRE) regimen, designed to accommodate the physical exercise limitations of critical illness survivors, to stimulate the satellite cell. Methods: Eight healthy controls (five men, three women, ages 20-64 years) underwent five consecutive daily sessions of quadriceps BFRE consisting of eight sets of eight knee extensions at 30% isometric peak torque followed by imaging and vastus lateralis (VL) biopsy to determine the quadriceps' size, strength, VL satellite cell content, and transcript expression levels of regulators of muscle proteolysis, autophagy, and myogenic regulatory factors pre- and post-BFRE training. The BFRE regimen was piloted in three ICUAW survivors (ages 54-62 years) 5 years post-ICU discharge. Results: All study participants tolerated and completed the BFRE regimen. In controls, satellite cell content and MuRF1 transcript expression were significantly higher (1.53 ± 0.30- and 1.34 ± 0.31-fold difference, respectively) and myostatin transcript expression was significantly lower (0.58 ± 0.31-fold difference) in BFRE-trained versus untrained VL. Two survivors with low quadriceps mass compared to sex- and age-matched population-based norms and study controls showed no difference in satellite cell content in trained vs. untrained VL. In the survivor with quadriceps mass comparable to population norms and controls, satellite cell content was higher in the BFRE-trained versus untrained VL. Conclusion: This study demonstrates that training with a novel short-duration, low-intensity BFRE regimen results in higher satellite cell content in healthy muscle and can be completed by ICUAW survivors. Pilot data suggest that sustained satellite cell dysfunction may impede muscle mass reconstitution after ICU discharge.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.250
Teacher spread0.243 · 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
Published2025
Admission routes2
Has abstractyes

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