1. An extensive β1-adrenergic receptor gene signaling network regulates molecular remodeling in dilated cardiomyopathies.
- Author
-
Tatman PD, Kao DP, Chatfield KC, Carroll IA, Wagner JA, Jonas ER, Sucharov CC, Port JD, Lowes BD, Minobe WA, Huebler SP, Karimpour-Fard A, Rodriguez EM, Liggett SB, and Bristow MR
- Subjects
- Animals, Mice, Humans, Gene Regulatory Networks, Signal Transduction, Mice, Transgenic, Receptors, Adrenergic, Cardiomyopathy, Dilated genetics, Biological Products
- Abstract
We investigated the extent, biologic characterization, phenotypic specificity, and possible regulation of a β1-adrenergic receptor-linked (β1-AR-linked) gene signaling network (β1-GSN) involved in left ventricular (LV) eccentric pathologic remodeling. A 430-member β1-GSN was identified by mRNA expression in transgenic mice overexpressing human β1-ARs or from literature curation, which exhibited opposite directional behavior in interventricular septum endomyocardial biopsies taken from patients with beta-blocker-treated, reverse remodeled dilated cardiomyopathies. With reverse remodeling, the major biologic categories and percentage of the dominant directional change were as follows: metabolic (19.3%, 81% upregulated); gene regulation (14.9%, 78% upregulated); extracellular matrix/fibrosis (9.1%, 92% downregulated); and cell homeostasis (13.3%, 60% upregulated). Regarding the comparison of β1-GSN categories with expression from 19,243 nonnetwork genes, phenotypic selection for major β1-GSN categories was exhibited for LV end systolic volume (contractility measure), ejection fraction (remodeling index), and pulmonary wedge pressure (wall tension surrogate), beginning at 3 months and persisting to study completion at 12 months. In addition, 121 lncRNAs were identified as possibly involved in cis-acting regulation of β1-GSN members. We conclude that an extensive 430-member gene network downstream from the β1-AR is involved in pathologic ventricular remodeling, with metabolic genes as the most prevalent category.
- Published
- 2023
- Full Text
- View/download PDF