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Record W1545116571

Abstract 17087: A Unique Calcium Channel Blocker Attenuates Myocardial Fibrosis and Prevents Human Cardiac Myofibroblast Activation Independent of Hemodynamics

2014· article· en· W1545116571 on OpenAlexaff
Guoqi Teng, Henry J. Duff, Darrell D. Belke, C.H. Meijndert, Edward R. O’Brien, Yangxiang Chen, Jeannine Turnbull, Paul W.M. Fedak

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMyofibroblastMedicineFibrosisMyocardial fibrosisFibroblastCardiac fibrosisExtracellular matrixContraction (grammar)Channel blockerHemodynamicsInternal medicineCardiologyCalciumIn vitroCell biologyBiologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Myocardial fibrosis is mediated by myofibroblasts that alter extracellular matrix (ECM). Tetrandrine (TTD) is a calcium channel blocker (CCB) with documented anti-fibrotic actions believed to be secondary to its effects on lowering blood pressure. In this study, for the first time, we identified that TTD can directly prevent in vitro human cardiac fibroblast activation and limit in vivo myocardial fibrosis independent of hemodynamic load. Methods and Results: IN VITRO: Cardiac fibroblasts from human atrial biopsies (N=10) were seeded in 3D collagen matrices. Cell-collagen constructs were exposed to TGF-β1 (10 ng/mL), with or without TTD (5μM) for 48 hours. Collagen gel contraction, myofibroblast activation (α-SMA expression), expression of pro-fibrotic mRNAs and rate of collagen protein synthesis was compared. TTD decreased collagen gel contraction (79.7±1.3 vs 60.1±8.9%, P< 0.01). Cell viability was similar between groups (annexin positive cells: 1.7% vs 1.4%). TTD decreased α-SMA expressio...

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.001

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 head0.018
GPT teacher head0.262
Teacher spread0.245 · 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
Published2014
Admission routes1
Has abstractyes

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