Genetic Dissection of Cardiac Remodeling in an Isoproterenol-Induced Heart Failure Mouse Model
Year: 2016
Type: article
Abstract: We aimed to understand the genetic control of cardiac remodeling using an isoproterenol-induced heart failure model in mice, which allowed control of confounding factors in an experimental setting. We characterized the changes in cardiac structure and function in response to chronic isoproterenol infusion using echocardiography in a panel of 104 inbred mouse strains. We showed that cardiac structure and function, whether under normal or stress conditions, has a strong genetic component, with heritability estimates of left ventricular mass between 61% and 81%. Association analyses of cardiac remodeling traits, corrected for population structure, body size and heart rate, revealed 17 genome-wide significant loci, including several loci containing previously implicated genes. Cardiac tissue gene expression profiling, expression quantitative trait loci, expression-phenotype correlation, and coding sequence variation analyses were performed to prioritize candidate genes and to generate hypotheses for downstream mechanistic studies. Using this approach, we have validated a novel gene, Myh14, as a negative regulator of ISO-induced left ventricular mass hypertrophy in an in vivo mouse model and demonstrated the up-regulation of immediate early gene Myc, fetal gene Nppb, and fibrosis gene Lgals3 in ISO-treated Myh14 deficient hearts compared to controls.
Source: PLoS Genetics
Authors: Jessica Jen-Chu Wang, Christoph Rau, Rozeta Avetisyan, Shuxun Ren, Milagros C. Romay, Gabriel Stolin, Ke Wei Gong, Yibin Wang, Aldons J. Lusis
Institution: University of California, Los Angeles
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,043
Awards: G1390399974, G1506581163, G1655325888, G1753763353, G2169460107, G3099617409, G3913564549, A Community Effort to Translate Protein Data to Knowledge: An Integrated Platform, G4922965983, Cardiovascular Scientist Training Program, G717676866, Systems Approach to Unraveling the Genetic Basis of Heart Failure, Vascular Biology Training Grant, G802438063, A Systems Approach to Dissect Genetic Basis of Heart Failure
OpenAlex ID: W2462820908
