Unknown

Dataset Information

0

ACE-inhibition induces a cardioprotective transcriptional response in the metabolic syndrome heart.


ABSTRACT: Cardiovascular disease associated with metabolic syndrome has a high prevalence, but the mechanistic basis of metabolic cardiomyopathy remains poorly understood. We characterised the cardiac transcriptome in a murine metabolic syndrome (MetS) model (LDLR-/-; ob/ob, DKO) relative to the healthy, control heart (C57BL/6, WT) and the transcriptional changes induced by ACE-inhibition in those hearts. RNA-Seq, differential gene expression and transcription factor analysis identified 288 genes differentially expressed between DKO and WT hearts implicating 72 pathways. Hallmarks of metabolic cardiomyopathy were increased activity in integrin-linked kinase signalling, Rho signalling, dendritic cell maturation, production of nitric oxide and reactive oxygen species in macrophages, atherosclerosis, LXR-RXR signalling, cardiac hypertrophy, and acute phase response pathways. ACE-inhibition had a limited effect on gene expression in WT (55 genes, 23 pathways), and a prominent effect in DKO hearts (1143 genes, 104 pathways). In DKO hearts, ACE-I appears to counteract some of the MetS-specific pathways, while also activating cardioprotective mechanisms. We conclude that MetS and control murine hearts have unique transcriptional profiles and exhibit a partially specific transcriptional response to ACE-inhibition.

SUBMITTER: Yakubova A 

PROVIDER: S-EPMC6212468 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications


Cardiovascular disease associated with metabolic syndrome has a high prevalence, but the mechanistic basis of metabolic cardiomyopathy remains poorly understood. We characterised the cardiac transcriptome in a murine metabolic syndrome (MetS) model (LDLR-/-; ob/ob, DKO) relative to the healthy, control heart (C57BL/6, WT) and the transcriptional changes induced by ACE-inhibition in those hearts. RNA-Seq, differential gene expression and transcription factor analysis identified 288 genes differen  ...[more]

Similar Datasets

2018-11-14 | GSE112975 | GEO
| PRJNA449667 | ENA
| S-EPMC5328676 | biostudies-literature
2019-08-01 | GSE135198 | GEO
| S-EPMC3064169 | biostudies-literature
| S-EPMC1617066 | biostudies-other
| S-EPMC3409677 | biostudies-literature
| S-EPMC5542439 | biostudies-literature
| S-EPMC4802435 | biostudies-other
| S-EPMC6891548 | biostudies-literature