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Gene networks and pathways for plasma lipid traits via multitissue multiomics systems analysis

机译:通过多态多孔系统分析的血浆脂质性状的基因网络和途径

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摘要

Genome-wide association studies (GWASs) have implicated ∼380 genetic loci for plasma lipid regulation. However, these loci only explain 17–27% of the trait variance, and a comprehensive understanding of the molecular mechanisms has not been achieved. In this study, we utilized an integrative genomics approach leveraging diverse genomic data from human populations to investigate whether genetic variants associated with various plasma lipid traits, namely, total cholesterol, high and low density lipoprotein cholesterol (HDL and LDL), and triglycerides, from GWASs were concentrated on specific parts of tissue-specific gene regulatory networks. In addition to the expected lipid metabolism pathways, gene subnetworks involved in “interferon signaling,” “autoimmune/immune activation,” “visual transduction,” and “protein catabolism” were significantly associated with all lipid traits. In addition, we detected trait-specific subnetworks, including cadherin-associated subnetworks for LDL; glutathione metabolism for HDL; valine, leucine, and isoleucine biosynthesis for total cholesterol; and insulin signaling and complement pathways for triglyceride. Finally, by using gene-gene relations revealed by tissue-specific gene regulatory networks, we detected both known (e.g., APOH, APOA4, and ABCA1) and novel (e.g., F2 in adipose tissue) key regulator genes in these lipid-associated subnetworks. Knockdown of the F2 gene (coagulation factor II, thrombin) in 3T3-L1 and C3H10T1/2 adipocytes altered gene expression of Abcb11, Apoa5, Apof, Fabp1, Lipc, and Cd36; reduced intracellular adipocyte lipid content; and increased extracellular lipid content, supporting a link between adipose thrombin and lipid regulation. Our results shed light on the complex mechanisms underlying lipid metabolism and highlight potential novel targets for lipid regulation and lipid-associated diseases.
机译:基因组 - 宽协会研究(GWASS)具有含有血浆脂质调节的〜380遗传基因座。然而,这些基因座仅解释了特征方差的17-27%,并且尚未实现对分子机制的全面理解。在这项研究中,我们利用了一种综合基因组学方法,利用人群中的各种基因组数据来研究与各种血浆脂质特征相关的遗传变异,即总胆固醇,高密度和低密度脂蛋白胆固醇(HDL和LDL)和甘油三酯Gwass集中在组织特异性基因监管网络的特定部分上。除了预期的脂质代谢途径之外,参与“干扰素信号传导”的基因子网,“自身免疫/免疫激活”,“视觉转导”和“蛋白质分解代谢”与所有脂质特征显着相关。此外,我们还检测到特异特定的子网,包括LDL的Cadherin相关子网; HDL的谷胱甘肽代谢;缬氨酸,亮氨酸和异亮氨酸生物合成,用于总胆固醇;和甘油三酯的胰岛素信号传导和补体途径。最后,通过使用组织特异性基因调节网络揭示的基因 - 基因关系,我们在这些脂质相关的子网中检测到已知(例如,ApoH,ApoA4和ABCA1)和新的(例如,脂肪组织中的F2)关键调节器基因。在3T3-L1和C3H10T1 / 2中的F2基因(凝血因子II,凝血酶)的敲低改变ABCB11,APOA5,APOF,FABP1,LIPC和CD36的基因表达。降低细胞内脂肪细胞脂质含量;和增加的细胞外脂质含量,支持脂肪凝血酶与脂质调节之间的联系。我们的结果阐明了脂质代谢的复杂机制,并突出潜在的脂质调节和脂质相关疾病靶标。

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