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Abstract 9739: MicroRNA26 Regulation of TRPC3 Subunits Underlies Profibrillatory Fibroblast Activation in a Canine Atrial Fibrillation Model

2011· article· en· W157875198 on OpenAlexaff
Masafumi Harada, Xiaobin Luo, Xiao Yan Qi, Jiening Xiao, Yanfen Shi, Jean‐Claude Tardif, Stanley Nattel

Bibliographic record

VenueCirculation · 2011
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineTRPC3Atrial fibrillationFibroblastInternal medicineCardiologyEndocrinologyReceptorBiochemistryTransient receptor potential channelIn vitro

Abstract

fetched live from OpenAlex

Background: Cardiac fibroblast (FB) proliferation and differentiation into extracellular matrix (ECM) secreting myofibroblasts contributes to AF-promoting fibrotic remodeling. We previously observed that Ca 2+ entry through transient receptor potential canonical 3 (TRPC3) channels regulates cardiac FB proliferation/differentiation. Here, we examined the potential involvement of TRPC3 in a canine AF model. Methods: Dogs kept continuously in AF for 1 week by pacing at 600 bpm (n=11) were compared to controls (CTL, n=11). Echocardiographic, hemodynamic and electrophysiological properties were studied in vivo. Left atrial (LA) FBs were isolated for nonselective cation current ( I NSC ) recording (patch clamp), cell cycle analysis (flow cytometry), protein (immunoblot) and mRNA (qPCR) expression. Results: AF increased LA diastolic area by 13%* (*p<0.05 vs CTL) and LA pressure by 150%* without LV dilation. AF also shortened atrial refractory periods from 98±4 to 79±5 ms* (BCL 150 ms) and prolonged spontaneously maintained AF duration from 26±8 to 937±209 s*. In freshly isolated FBs, I NSC sensitive to a TRPC3 selective blocker, pyrazole3 (Pyr3, 3 μ M) increased in AF by 89%*, indicating increased TRPC3 current. In freshly cultured FBs, the cell number increase-rate, the G2/M cell content (an index of cell division) and α-smooth muscle actin protein expression increased in AF by 185*, 33* and 154* % respectively, indicating increased proliferation and differentiation; in vitro treatment with Pyr3 (3 μ M) decreased these profibrotic indices by 78%*, 12%* and 74%* vs vehicle respectively. In fresh FBs, collagen-1 and -3 gene expression increased in AF by 1210%* and 750%* respectively, indicating increased ECM production. TRPC3 protein expression in fresh FBs increased in AF by 64%*; however, TRPC3 mRNA decreased by 44%*, suggesting epigenetic regulation by microRNA (miR). AF reduced FB expression of miR-26a, predicted to target and suppress TRPC3 translation, by 65%*. In vitro miR-26a knockdown upregulated TRPC3 protein by 54%*, mimicking AF effects. Conclusions: AF increases FB proliferation, differentiation and ECM gene expression by increasing TRPC3 subunit expression and current, likely by downregulating the TRPC3-targeting microRNA miR-26.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

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)0.0030.001

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 head0.104
GPT teacher head0.300
Teacher spread0.196 · 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 designSimulation or modeling
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

Citations2
Published2011
Admission routes1
Has abstractyes

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