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Record W7024682931

Scleraxis is a mechanoresponsive regulator of the cardiac myofibroblast phenotype

2015· dissertation· en· W7024682931 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsUniversity of Manitoba
FundersResearch Manitoba
KeywordsNucleofectionGestational periodTSG101DiafiltrationHyporeflexiaLiquationProteogenomicsTubulopathy
DOInot available

Abstract

fetched live from OpenAlex

Cardiac fibrosis is the excess deposition of myocardial extracellular matrix components, which increases tissue stiffness and heterogeneity, causing impaired diastolic/systolic function and arrhythmias, and eventually leading to heart failure and death. There are no available treatments for cardiac fibrosis. Myofibroblasts mediate fibrosis, and are characterized by hypersynthesis of collagens, decreased migration, and increased α-smooth muscle actin, which is incorporated into stress fibers, imparting contractility. Scleraxis is a transcriptional regulator of collagen-rich tissues, increased in response to the same stimuli that drive the myofibroblast phenotype, such as cyclic stretch. We show that Scleraxis mediates the conversion of cardiac fibroblasts to myofibroblasts, by increasing myofibroblast marker expression and contraction, and decreasing migration. Additionally, a proximal 1500 bp human SCLERAXIS promoter is activated by stretch and is responsive to transforming growth factor-β1. Thus, Scleraxis is a specific mechanoresponsive regulator of the myofibroblast, representing a novel target for the treatment of cardiac fibrosis.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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 routes2
Has abstractyes

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