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Record W2323348363 · doi:10.1139/apnm-2013-0268

Exercise training induced myosin heavy chain isoform alteration in the infarcted heart

2013· article· en· W2323348363 on OpenAlexvenueno aff
Wenhan Wan, Xiaohua Xu, Weiyan Zhao, Michael A. Garza, John Q. Zhang

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2013
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood Institute
KeywordsMyosinInternal medicineGene isoformEndocrinologyMedicineCardiac function curveMyocardial infarctionCardiologyGene expressionInfarctionChemistryHeart failureGeneBiochemistry

Abstract

fetched live from OpenAlex

The myosin heavy chain isoform MHC-α has 3-fold higher ATPase activity than MHC-β. After myocardial infarction (MI), MHC-α expression is profoundly downregulated and MHC-β expression is reciprocally upregulated. This shift, which is attributed to low thyroid hormone (TH), contributes to myocardial systolic dysfunction. We investigated the effect of post-MI exercise training on MHC isoforms, TH, and cardiac function. MI was surgically induced in 7-week-old rats by ligation of the coronary artery. The survivors were assigned to 3 groups (n = 10/group): Sham (no MI, no exercise), MISed (MI, no exercise), and MIEx (MI, exercise). Treadmill exercise training began 1 week post-MI and lasted for 8 weeks. Echocardiogram measurements were taken on the day prior to initiation of exercise training and at the end of exercise training. Tissue and blood samples were collected at the end of the experiment. MHC isoform gene and protein expression and TH were measured. Our results illustrated that MHC-α gene expression was higher and MHC-β gene expression was lower in the MIEx group than in the MISed group. Resting serum TH concentrations (T3 and T4) were similar between the 2 MI groups. The MIEx group had higher fractional shortening than the MISed group. In conclusion, post-MI exercise training beneficially altered MHC isoforms and improved cardiac function without changing TH.

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)0.000
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 score0.931
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.031
GPT teacher head0.281
Teacher spread0.250 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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