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Long telomeres protect against age-dependent cardiac disease caused by NOTCH1 haploinsufficiency
Christina V. Theodoris, … , Helen M. Blau, Deepak Srivastava
Christina V. Theodoris, … , Helen M. Blau, Deepak Srivastava
Published March 27, 2017
Citation Information: J Clin Invest. 2017;127(5):1683-1688. https://doi.org/10.1172/JCI90338.
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Brief Report Cardiology Article has an altmetric score of 74

Long telomeres protect against age-dependent cardiac disease caused by NOTCH1 haploinsufficiency

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Abstract

Diseases caused by gene haploinsufficiency in humans commonly lack a phenotype in mice that are heterozygous for the orthologous factor, impeding the study of complex phenotypes and critically limiting the discovery of therapeutics. Laboratory mice have longer telomeres relative to humans, potentially protecting against age-related disease caused by haploinsufficiency. Here, we demonstrate that telomere shortening in NOTCH1-haploinsufficient mice is sufficient to elicit age-dependent cardiovascular disease involving premature calcification of the aortic valve, a phenotype that closely mimics human disease caused by NOTCH1 haploinsufficiency. Furthermore, progressive telomere shortening correlated with severity of disease, causing cardiac valve and septal disease in the neonate that was similar to the range of valve disease observed within human families. Genes that were dysregulated due to NOTCH1 haploinsufficiency in mice with shortened telomeres were concordant with proosteoblast and proinflammatory gene network alterations in human NOTCH1 heterozygous endothelial cells. These dysregulated genes were enriched for telomere-contacting promoters, suggesting a potential mechanism for telomere-dependent regulation of homeostatic gene expression. These findings reveal a critical role for telomere length in a mouse model of age-dependent human disease and provide an in vivo model in which to test therapeutic candidates targeting the progression of aortic valve disease.

Authors

Christina V. Theodoris, Foteini Mourkioti, Yu Huang, Sanjeev S. Ranade, Lei Liu, Helen M. Blau, Deepak Srivastava

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