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Record W1497684304 · doi:10.1113/jphysiol.2013.268367

Passive hind‐limb cycling improves cardiac function and reduces cardiovascular disease risk in experimental spinal cord injury

2014· article· en· W1497684304 on OpenAlexafffund
Christopher R. West, Mark Crawford, Malihe‐Sadat Poormasjedi‐Meibod, Katharine D. Currie, Andre Fallavollita, Violet G. Yuen, John H. McNeill, Andrei V. Krassioukov

Bibliographic record

VenueThe Journal of Physiology · 2014
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreUniversity of British ColumbiaInternational Collaboration On Repair Discoveries
FundersCanadian Institutes of Health ResearchMcGill UniversityCraig H. Neilsen Foundation
KeywordsSpinal cord injuryMedicineHindlimbCyclingSpinal cordPhysical medicine and rehabilitationCardiac function curveCardiologyInternal medicineHeart failure

Abstract

fetched live from OpenAlex

Key points Using a wide array of experimental approaches, we demonstrate for the first time that spinal cord injury is associated with a rapid and sustained impairment in cardiac structure and function that is present as early as 1 week post‐injury. We provide novel data demonstrating that spinal cord injury elicits an altered Starling curve and myocardial fibrosis. The latter of these may be secondary to an up‐regulation of transforming growth factor beta‐1 and mothers against decapentaplegic homolog 3 mRNA, both of which form part of a well‐known fibrotic signalling pathway. Passive hind‐limb cycling averts the spinal cord injury‐induced impairments in cardiac structure and function, prevents myocardial fibrosis and improves blood lipid profiles. Passive lower‐limb cycling represents an elegant, cost‐effective and widely accessible therapeutic strategy that may reduce the clinical cardiovascular burden imposed by spinal cord injury and other neurological disorders. Abstract Spinal cord injury (SCI) causes altered autonomic control and severe physical deconditioning that converge to drive maladaptive cardiac remodelling. We used a clinically relevant experimental model to investigate the cardio‐metabolic responses to SCI and to establish whether passive hind‐limb cycling elicits a cardio‐protective effect. Initially, 21 male Wistar rats were evenly assigned to three groups: uninjured control (CON), T3 complete SCI (SCI) or T3 complete SCI plus passive hind‐limb cycling (SCI‐EX; 2 × 30 min day −1 , 5 days week −1 for 4 weeks beginning 6 days post‐SCI). On day 32, cardio‐metabolic function was assessed using in vivo echocardiography, ex vivo working heart assessments, cardiac histology/molecular biology and blood lipid profiles. Twelve additional rats ( n = 6 SCI and n = 6 SCI‐EX) underwent in vivo echocardiography and basal haemodynamic assessments pre‐SCI and at days 7, 14 and 32 post‐SCI to track temporal cardiovascular changes. Compared with CON, SCI exhibited a rapid and sustained reduction in left ventricular dimensions and function that ultimately manifested as reduced contractility, increased myocardial collagen deposition and an up‐regulation of transforming growth factor beta‐1 (TGFβ 1 ) and mothers against decapentaplegic homolog 3 (Smad3) mRNA. For SCI‐EX, the initial reduction in left ventricular dimensions and function at day 7 post‐SCI was completely reversed by day 32 post‐SCI, and there were no differences in myocardial contractility between SCI‐EX and CON. Collagen deposition was similar between SCI‐EX and CON. TGFβ 1 and Smad3 were down‐regulated in SCI‐EX. Blood lipid profiles were improved in SCI‐EX versus SCI. We provide compelling novel evidence that passive hind‐limb cycling prevents cardiac dysfunction and reduces cardiovascular disease risk in experimental SCI.

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 score0.868
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.022
GPT teacher head0.338
Teacher spread0.316 · 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

Citations59
Published2014
Admission routes2
Has abstractyes

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