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The Role of Scleraxis in Inducing Vascular Stiffness

2022· article· en· W4225375111 on OpenAlexaff
Danah S. Al‐Hattab, Teri Moffat, Allison Ledingham, Michael P. Czubryt

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMyofibroblastVascular smooth muscleFibrosisExtracellular matrixCell biologyBiologyPathologyMedicineEndocrinologySmooth muscle

Abstract

fetched live from OpenAlex

Vascular fibrosis (VF) is one of the most significant pathologies related to blood vessel dysfunction. VF results in an impairment of vascular tone due to an increase in extracellular matrix proteins (ECM) and vascular smooth muscle synthesis within the vessel wall, thus increasing vascular stiffness and reducing lumen diameter. VF is both caused by and exacerbates numerous vascular diseases including diabetes, atherosclerosis and in particular, hypertension, which accounts for 13% of deaths globally (WHO World Health Report, 2002). Multiple studies have investigated various therapeutic approaches to interfere with VF, but to date this condition remains untreated, thus novel approaches to target fibrosis development and progression are urgently required. Our lab identified the transcription factor scleraxis as a novel master regulator of cellular phenotype conversion. We demonstrated that scleraxis is sufficient to induce fibroblast to myofibroblast phenotype conversion, a critical step in the development of fibrosis in many tissue types. Scleraxis also induces Epithelial to Mesenchymal Transition (EMT) and cell migration as part of development and cell differentiation. Some studies have shown that mechanical stretch in tendons increases expression of scleraxis, while additional studies reported that stretch in rabbit aorta induces the vascular smooth muscle proliferative phenotype. Our preliminary data has revealed that scleraxis is expressed in VSMCs in the arterial wall, and we have found elevated scleraxis expression in high pressure versus low pressure regions of vessels. We thus hypothesize that scleraxis is sufficient and necessary to induce vascular fibrosis. Our data shows that scleraxis overexpression increases thickness of the aortic vascular wall in scleraxis overexpression mice, via histological sections, thus contributing to the progression of vascular fibrosis. In vitro studies show that scleraxis overexpression in Human Aortic Smooth Muscle Cells (HAOSMC) induces their proliferation and migration using different assays (CCk8/Edu+ proliferation assay, Transwell migration assay, gene expression assays). Scleraxis overexpression also induces hypertrophy of HAOSMC shown via immunostaining. This suggests that scleraxis overexpression induces VSMC plasticity from contractile to synthetic‐proliferative phenotype, thus inducing VSMC hyperplasia. New & Noteworthy: Our findings indicate that scleraxis plays a role in VSMC plasticity via scleraxis‐ mediated transcriptional regulation of VSMC proliferation and migration. This work has potential relevance to many related diseases that feature VSMC activation, including atherosclerosis and restenosis.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.357

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 integrity0.0000.000
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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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