Genome-wide identification of microRNAs regulating cholesterol and triglyceride homeostasis

全基因组鉴定调控胆固醇和甘油三酯稳态的microRNA

阅读:3
作者:Alexandre Wagschal,S Hani Najafi-Shoushtari,Lifeng Wang,Leigh Goedeke,Sumita Sinha,Andrew S deLemos,Josh C Black,Cristina M Ramírez,Yingxia Li,Ryan Tewhey,Ida Hatoum,Naisha Shah,Yong Lu,Fjoralba Kristo,Nikolaos Psychogios,Vladimir Vrbanac,Yi-Chien Lu,Timothy Hla,Rafael de Cabo,John S Tsang,Eric Schadt,Pardis C Sabeti,Sekar Kathiresan ,David E Cohen,Johnathan Whetstine,Raymond T Chung,Carlos Fernández-Hernando,Lee M Kaplan,Andre Bernards ,Robert E Gerszten,Anders M Näär

Abstract

Genome-wide association studies (GWASs) have linked genes to various pathological traits. However, the potential contribution of regulatory noncoding RNAs, such as microRNAs (miRNAs), to a genetic predisposition to pathological conditions has remained unclear. We leveraged GWAS meta-analysis data from >188,000 individuals to identify 69 miRNAs in physical proximity to single-nucleotide polymorphisms (SNPs) associated with abnormal levels of circulating lipids. Several of these miRNAs (miR-128-1, miR-148a, miR-130b, and miR-301b) control the expression of key proteins involved in cholesterol-lipoprotein trafficking, such as the low-density lipoprotein (LDL) receptor (LDLR) and the ATP-binding cassette A1 (ABCA1) cholesterol transporter. Consistent with human liver expression data and genetic links to abnormal blood lipid levels, overexpression and antisense targeting of miR-128-1 or miR-148a in high-fat diet-fed C57BL/6J and Apoe-null mice resulted in altered hepatic expression of proteins involved in lipid trafficking and metabolism, and in modulated levels of circulating lipoprotein-cholesterol and triglycerides. Taken together, these findings support the notion that altered expression of miRNAs may contribute to abnormal blood lipid levels, predisposing individuals to human cardiometabolic disorders.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。