Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins.

cardiac imaging cardiomyopathy computational biology computer modeling electrophysiology genetics human systems biology ventricular arrhythmia

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
18 10 2023
Historique:
medline: 23 10 2023
pubmed: 18 10 2023
entrez: 18 10 2023
Statut: epublish

Résumé

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic cardiac disease that leads to ventricular tachycardia (VT), a life-threatening heart rhythm disorder. Treating ARVC remains challenging due to the complex underlying arrhythmogenic mechanisms, which involve structural and electrophysiological (EP) remodeling. Here, we developed a novel genotype-specific heart digital twin (Geno-DT) approach to investigate the role of pathophysiological remodeling in sustaining VT reentrant circuits and to predict the VT circuits in ARVC patients of different genotypes. This approach integrates the patient's disease-induced structural remodeling reconstructed from contrast-enhanced magnetic-resonance imaging and genotype-specific cellular EP properties. In our retrospective study of 16 ARVC patients with two genotypes: plakophilin-2 (

Identifiants

pubmed: 37851708
doi: 10.7554/eLife.88865
pii: 88865
pmc: PMC10584370
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL142496
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL126802
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007227
Pays : United States
Organisme : NHLBI NIH HHS
ID : L30 HL165535
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© 2023, Zhang et al.

Déclaration de conflit d'intérêts

YZ, KZ, AP, CJ, SZ, RC, ES, AG, CT, BM, HC, NT No competing interests declared

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Auteurs

Yingnan Zhang (Y)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, United States.

Kelly Zhang (K)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, United States.

Adityo Prakosa (A)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, United States.

Cynthia James (C)

Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.

Stefan L Zimmerman (SL)

Department of Radiology, Johns Hopkins University, Baltimore, United States.

Richard Carrick (R)

Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.

Eric Sung (E)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, United States.

Alessio Gasperetti (A)

Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.

Crystal Tichnell (C)

Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.

Brittney Murray (B)

Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.

Hugh Calkins (H)

Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.

Natalia A Trayanova (NA)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, United States.

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