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Scleraxis Alters Arterial Smooth Muscle Phenotypic Switching and Exacerbates Arterial Stiffness

2023· article· en· W4378674414 on OpenAlexaff
Danah S. Al‐Hattab, Teri Moffat, Allison Ledingham, Kim O‘Hara, Michael P. Czubryt

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsArterial stiffnessDownregulation and upregulationAngiotensin IIVascular smooth muscleAortaInternal medicineEndocrinologyMedicineAnatomyCell biologyBiologyBlood pressure

Abstract

fetched live from OpenAlex

Arterial stiffness (AS) is an impairment in arterial relaxation and function in blood pressure regulation and is associated with the development of multiple cardiovascular diseases including hypertension, atherosclerosis, and adverse outcomes such as stroke, heart failure, and death. AS comprises an increase in vascular wall components (extracellular matrix proteins or vascular smooth muscle cell (VSMC) composition) or cellular malfunction, or a combination of these factors. Preliminary data from our lab showed that using the Transverse Aortic Constriction (TAC) model, the transcription factor scleraxis is upregulated in the aortic wall on the pre-TAC/high pressure side versus post-TAC/low pressure side. Scleraxis also induces cellular phenotype activation of fibroblasts to myofibroblasts in cardiac fibrosis and mediates epithelial to mesenchymal transition in development. Angiotensin II (AngII) induces hypertension and increases stiffness in arteries, and we found that it also up-regulates scleraxis expression, suggesting the possibility that scleraxis may alter arterial wall composition. In this study, we investigated the role of scleraxis expression in VSMC, and its effect when over-expressed along with AngII treatment in small resistance arteries and aorta. In vivo, we upregulated scleraxis in VSMC using a Cre/LoxP approach and the tamoxifen-inducible Myh11cre mouse, with or without AngII delivery by micro-osmotic pump, then isolated 3rd order mesenteric arteries and assessed arterial function and stiffness by pressure myography. We harvested aortas for immunohistology staining and gene expression analysis. In vitro, we upregulated scleraxis in VSMC with or without AngII treatment and measured their proliferation by flow cytometry. Our findings show that scleraxis induces stiffness in mesenteric arteries, but not aorta by induction of VSMC proliferation. Scleraxis upregulation with AngII infusion exacerbates vascular stiffness in mesenteric arteries due to significant changes in arterial wall components, reducing internal lumen diameter and smooth muscle relaxation. At the molecular level, extracellular matrix protein expression is reduced in aortas. In in vitro studies, scleraxis-AngII treated VSMC exhibit lower proliferative capacity, distinct morphological changes and higher contractile gene expression, indicative of a hypertrophic contractile phenotype altering overall arterial stiffness. Our study shows that scleraxis alone can induce AS by regulating VSMC phenotype toward proliferation. In contrast, arterial stiffness is exacerbated in scleraxis overexpression and AngII-infused vessels by inducing VSMC towards a hypertrophic contractile phenotype. Therefore, scleraxis alters vascular smooth muscle phenotypic switching and arterial stiffness through different mechanisms, depending on the presence of AngII, which may have different pathological impacts depending on the specific underlying conditions. This work is supported by funding from Heart & Stroke Foundation and BMO Studentship. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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 score0.973
Threshold uncertainty score0.831

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)0.0000.001

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 head0.225
Teacher spread0.209 · 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
Published2023
Admission routes1
Has abstractyes

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