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Abstract 18333: Tdag51 Deficiency Protects Against Aortic Vascular Calcification by Attenuating Smooth Muscle Cell Death and Osteoblastic Trans-Differentiation

2013· article· en· W192908152 on OpenAlexaff
Imtisal Al‐Bondokji, Joan C. Krepinsky, Richard Austin

Bibliographic record

VenueCirculation · 2013
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineVascular smooth muscleCalcificationSmooth muscleInternal medicineCardiology

Abstract

fetched live from OpenAlex

Vascular Calcification (VC), a severe complication increasing the risk of cardiovascular (CV) mortality and morbidity in ageing, diabetic and chronic renal failure patients. VC occurs as vascular smooth muscle cells (VSMC) differentiate into osteoblast- like cells or undergoing apoptosis, resulting in arterial stiffness, elevated pulse pressure (PP) and left ventricular hypertrophy. Yet, molecular mechanisms modulating VSMC differentiation and viability are unclear. Our previous findings demonstrate that T-cell death associated gene 51 (TDAG51, pleckstrin homology-like domain family member) deficiency protects against atherosclerotic lesions. This study provides evidence that TDAG51 contributes to VC by regulating osteogenic transcription factor RUNX2 expression and VSMC survival. To study aortic calcification (AC), male C57Bl/6 wild-type (TDAG51+/+) and TDAG51 deficient (TDAG51-/-) mice were injected subcutaneously with Vitamin D3 (VD3, 50,000 IU/kg) or vehicle (0.9% Saline) for 10 days, an established model of VC. AC was assessed by plasma Pi and Ca2+ levels and aortic valve, thoracic and abdominal aorta segments stained with von Kossa. Osteogenic differentiation and TDAG51 levels were assessed by immunoblot, qRT-PCR and immunohistochemistry. TDAG51-/- mice are protected against osteogenic differentiation in aortic artery. Hallmark features of VC including elastinolysis, collagen deposition and RUNX2 expression were significantly reduced in TDAG51-/- mice compared to control. TDAG51-/- mice maintained PP levels. Microarray analysis revealed ENPP1 (inhibitor of VC) was increased 15-fold in cultured TDAG51-/- aortic smc. The results were verified by qRT-PCR and immunoblots showing elevated ENPP1 expression in TDAG51-/- in presence or absence of VD3 compared to control. Also plasma pyrophosphate remained elevated in TDAG51-/- mice in presence of VD3, indicating increased endogenous ENPP1 activity. ENPP1 transient knockdown in TDAG51-/- vsmc lead to VC, elevated RUNX2, alkaline phosphatase activity and apoptosis. Our data demonstrate TDAG51 is a novel and key promoter of VC by regulating RUNX2 and ENPP1 levels in VC. TDAG51 loss confers protection against VC, apoptosis and PP elevation thereby reducing CV injury risk.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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