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Record W2736205238 · doi:10.1161/res.117.suppl_1.372

Abstract 372: Regulation of Ski and Scleraxis in the Infarcted Rat Heart

2015· article· en· W2736205238 on OpenAlexaff
Krista L. Filomeno, Sunil G. Rattan, Sheri Bage, Matthew R. Zeglinski, Michael P. Czubryt, Ian Dixon

Bibliographic record

VenueCirculation Research · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsSt. Boniface HospitalUniversity of Manitoba
Fundersnot available
KeywordsMyofibroblastMedicineWound healingMyocardial infarctionCardiac fibrosisLigationFibrosisInfarctionCardiologyVentricular remodelingPathologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

Introduction: Coronary heart disease is causal to myocardial infarction (MI) and cardiac fibrosis. Upon ischemic myocardial injury, resident cardiac fibroblasts phenoconvert to myofibroblasts and synthesize large amounts of fibrillar collagens to produce scar tissue. Although the myofibroblast numbers are reduced in the infarct scar following the completion of wound healing, a sub-population of cells persist in the wounded area, leading to maladaptive chronic remodeling of the scar area and eventually the non-infarcted myocardium. Ski has been identified as a repressor of the TGF-β1 signaling pathway, attenuating the myofibroblast phenotype and its functional properties. Scleraxis has been implicated in canonical TGF-β1 signaling to promote collagen1α2 expression. We investigated how Ski and Scleraxis contribute to physiological and pathological wound healing in vivo. Methods: The study was carried out using 64 male Sprague-Dawley rats. The left anterior descending (LAD) coronary artery was ligated to induce a myocardial infarction. Control (sham) operated animals underwent surgery without ligation of the LAD artery. Animals were sacrificed at 2, 4, and 8 weeks post-MI and tissue collected for Western blot and qPCR studies. Results: Scleraxis mRNA expression remained at baseline at 2 and 8 weeks post-MI, but was significantly increased 4 weeks post-MI. Scleraxis protein expression was down-regulated within the scar area of infarcted hearts when compared to control samples 2 and 4 weeks post-MI. Ski mRNA expression was up-regulated within the scar area of infarcted hearts 2, 4 and 8 weeks after infarction. Conclusions: Scleraxis protein is down-regulated in myofibroblasts of the infarct scar in the chronic stages of myocardial infarction, corresponding to the maturation of the scar. At these stages of wound healing, we have previously published that Ski is up-regulated in the cytosol of these same cells. We suggest reciprocal feedback in the expression of these two proteins exists in myofibroblasts in the infarct scar. We hope to learn more about the Ski/Scleraxis feedback loop in pathological wound healing to identify novel therapeutic targets.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.129

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.172
GPT teacher head0.406
Teacher spread0.234 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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