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TDAG51 is a key modulator of vascular calcification and osteogenic transdifferentiation of arterial smooth muscle cells

2018· article· en· W3176922158 on OpenAlexafffundabout
Khrystyna Platko, Gabriel Gyulay, Paul Lebeau, Šárka Lhotá, Jae Hyun Byun, Felix Boivin, Darren Bridgewater, Joan C. Krepinsky, Richard C. Austin

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsTransdifferentiationVascular smooth muscleMedicineKidney diseaseCalcificationInternal medicineDialysisHyperphosphatemiaEndocrinologyCause of deathDiseaseCardiologyCancer researchBiologyCell biologyStem cellSmooth muscle

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) is the primary cause of morbidity and mortality in patients with chronic kidney disease (CKD). More than half of all deaths from patients with end-stage renal disease (ESRD) requiring dialysis can be attributed to CVD. Although traditional risk factors for CVD are prevalent in ESRD, they cannot fully explain the high mortality rates. Vascular calcification (VC) in the medial layer of the vessel wall is a unique and prominent feature in patients with advanced CKD and is now recognized as an important predictor and an independent risk factor for cardiovascular and all-cause and mortality in these patients. VC in CKD is triggered by vascular smooth muscle cells (VSMCs) transforming into osteoblasts, a consequence of elevated circulating phosphate levels due to poor kidney function. Understanding and targeting this SMC trans-differentiation and subsequent VC represents a viable therapeutic avenue for managing CKD complications. Similar to bone formation, VC is a highly regulated process that draws many parallels with osteogenic differentiation. We have recently observed that T-cell Death Associated Gene 51 (TDAG51), a protein upregulated by oxidative and endoplasmic reticulum stress, is induced in SMCs under conditions of hyperphosphatemia and is expressed in the medial layer of calcified human vessels. We have found that ablation of TDAG51 reduces SMC trans-differentiation and VC, both in human SMCs treated with TDAG51 siRNA and in mouse VSMCs isolated from TDAG51−/− aortas. To explain these findings, we observed that TDAG−/− VSMCs express reduced levels of the of the Pit-1, a solute transporter responsible for cellular phosphate uptake. Consistent with this observation, reduced Pit-1 expression was associated with reduced intracellular phosphate levels and reduced phosphate-induced apoptosis. Further, TDAG−/− VSMCs exhibit significantly reduced transcriptional activity of a phosphate-inducible transcription factor, and well-established driver of VC, known as Runx2. Support or Funding Information This work was supported in part by research grants to Richard C. Austin from the Heart and Stroke Foundation of Ontario (T-6146), the Heart and Stroke Foundation of Canada (G-13-0003064 and G-15-0009389) and the Canadian Institutes of Health Research (74477). TDAG51 is involved in the development and progression of VC through the regulation of intracellular phosphate content and Runx2 transcriptional activity. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.250
Teacher spread0.235 · 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
Published2018
Admission routes3
Has abstractyes

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