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公开可用的基因组数据资源在寻找肥胖和 2 型糖尿病治疗靶点方面的意义。

Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes.

机构信息

Department of Genome Medicine and Science, Gachon University School of Medicine, Incheon, Republic of Korea.

Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, Republic of Korea.

出版信息

Exp Mol Med. 2018 Apr 20;50(4):1-13. doi: 10.1038/s12276-018-0066-5.

DOI:10.1038/s12276-018-0066-5
PMID:29674722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5938056/
Abstract

Obesity and type 2 diabetes (T2D) are two major conditions that are related to metabolic disorders and affect a large population. Although there have been significant efforts to identify their therapeutic targets, few benefits have come from comprehensive molecular profiling. This limited availability of comprehensive molecular profiling of obesity and T2D may be due to multiple challenges, as these conditions involve multiple organs and collecting tissue samples from subjects is more difficult in obesity and T2D than in other diseases, where surgical treatments are popular choices. While there is no repository of comprehensive molecular profiling data for obesity and T2D, multiple existing data resources can be utilized to cover various aspects of these conditions. This review presents studies with available genomic data resources for obesity and T2D and discusses genome-wide association studies (GWAS), a knockout (KO)-based phenotyping study, and gene expression profiles. These studies, based on their assessed coverage and characteristics, can provide insights into how such data can be utilized to identify therapeutic targets for obesity and T2D.

摘要

肥胖症和 2 型糖尿病(T2D)是两种与代谢紊乱相关的主要疾病,影响着大量人群。尽管已经做出了巨大努力来识别它们的治疗靶点,但全面的分子谱分析几乎没有带来任何益处。肥胖症和 T2D 中全面分子谱分析的这种有限可用性可能是由于多种挑战造成的,因为这些病症涉及多个器官,并且与其他疾病相比,从肥胖症和 T2D 患者中采集组织样本更加困难,而在其他疾病中,手术治疗是更受欢迎的选择。尽管肥胖症和 T2D 没有全面分子谱分析数据存储库,但可以利用多个现有数据资源来涵盖这些病症的各个方面。本综述介绍了肥胖症和 T2D 现有基因组数据资源的研究,并讨论了全基因组关联研究(GWAS)、基于基因敲除(KO)的表型研究和基因表达谱。这些研究基于其评估的覆盖范围和特征,可以深入了解如何利用这些数据来识别肥胖症和 T2D 的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/23e9eb454ce7/12276_2018_66_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/d58788553cb2/12276_2018_66_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/643bfcac9787/12276_2018_66_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/23e9eb454ce7/12276_2018_66_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/d58788553cb2/12276_2018_66_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/01898f234e34/12276_2018_66_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/cc80d5e0b61b/12276_2018_66_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/643bfcac9787/12276_2018_66_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd8f/5938056/23e9eb454ce7/12276_2018_66_Fig5_HTML.jpg

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