| Literature DB >> 24638895 |
Lin-Mei Shi1, Ju-Wei Tao1, Xing-Biao Qiu2, Juan Wang3, Fang Yuan2, Lei Xu2, Hua Liu2, Ruo-Gu Li2, Ying-Jia Xu2, Qian Wang2, Hong-Zhen Zheng2, Xin Li4, Xiao-Zhou Wang5, Min Zhang2, Xin-Kai Qu2, Yi-Qing Yang2.
Abstract
Bicuspid aortic valve (BAV) is the most common form of congenital cardiovascular defect in humans worldwide and is responsible for substantial morbidity and mortality. Accumulating evidence has demonstated that genetic risk factors are involved in the pathogenesis of BAV. However, BAV is genetically heterogeneous and the genetic basis underlying BAV in a large number of patients remains unknown. In the present study, the coding regions and splice junction sites of the GATA5 gene, which codes for a zinc-finger transcription factor crucial for the normal development of the aortic valve, was sequenced initially in 110 unrelated patients with BAV. The available relatives of the mutation carriers and 200 unrelated healthy individuals used as controls were subsequently genotyped for GATA5. The functional effect of the mutations was characterized by using a luciferase reporter assay system. As a result, two novel heterozygous GATA5 mutations, p.Y16D and p.T252P, were identified in two families with autosomal dominant inheritance of BAV, respectively. The variations were absent in 400 control chromosomes and the altered amino acids were completely conserved evolutionarily. Functional assays revealed that the two GATA5 mutants were associated with significantly reduced transcriptional activity compared with their wild-type counterpart. To the best of our knowledge, this is the first study on the association of GATA5 loss-of-function mutations with enhanced susceptibility to BAV, providing novel insight into the molecular mechanism involved in human BAV and suggesting a potential role for the early prophylaxis and personalized treatment of this common congenital heart disease.Entities:
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Year: 2014 PMID: 24638895 DOI: 10.3892/ijmm.2014.1700
Source DB: PubMed Journal: Int J Mol Med ISSN: 1107-3756 Impact factor: 4.101