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Clustering of Cardiac Transcriptome Profiles Reveals Unique: Subgroups of Dilated Cardiomyopathy Patients.

Authors :
Verdonschot JAJ
Wang P
Derks KWJ
Adriaens ME
Stroeks SLVM
Henkens MTHM
Raafs AG
Sikking M
de Koning B
van den Wijngaard A
Krapels IPC
Nabben M
Brunner HG
Heymans SRB
Source :
JACC. Basic to translational science [JACC Basic Transl Sci] 2023 Feb 01; Vol. 8 (4), pp. 406-418. Date of Electronic Publication: 2023 Feb 01 (Print Publication: 2023).
Publication Year :
2023

Abstract

Dilated cardiomyopathy is a heterogeneous disease characterized by multiple genetic and environmental etiologies. The majority of patients are treated the same despite these differences. The cardiac transcriptome provides information on the patient's pathophysiology, which allows targeted therapy. Using clustering techniques on data from the genotype, phenotype, and cardiac transcriptome of patients with early- and end-stage dilated cardiomyopathy, more homogeneous patient subgroups are identified based on shared underlying pathophysiology. Distinct patient subgroups are identified based on differences in protein quality control, cardiac metabolism, cardiomyocyte function, and inflammatory pathways. The identified pathways have the potential to guide future treatment and individualize patient care.<br />Competing Interests: The research leading to these results has received funding from the DCVA DOUBLE DOSE grant. We acknowledge the support from the Netherlands Cardiovascular Research Initiative, an initiative with support of the Dutch Heart Foundation and CVON Arena-PRIME, 2017-18. Drs Verdonschot and Nabben are supported by a Dutch Heart Foundation grant. Heymans receives personal fees for scientific advice to Astra-Zeneca, Pfizer, Novo Nordisk and CSL Behringer. All other authors have reported that they have no relationships relevant to the contents of this paper.<br /> (© 2023 The Authors.)

Details

Language :
English
ISSN :
2452-302X
Volume :
8
Issue :
4
Database :
MEDLINE
Journal :
JACC. Basic to translational science
Publication Type :
Academic Journal
Accession number :
37138803
Full Text :
https://doi.org/10.1016/j.jacbts.2022.10.010