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代谢网络拓扑揭示 2 型糖尿病的转录调控特征。

Metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes.

机构信息

Department of Systems Biology, Technical University of Denmark, Center for Microbial Biotechnology, Lyngby, Denmark.

出版信息

PLoS Comput Biol. 2010 Apr 1;6(4):e1000729. doi: 10.1371/journal.pcbi.1000729.

Abstract

Type 2 diabetes mellitus (T2DM) is a disorder characterized by both insulin resistance and impaired insulin secretion. Recent transcriptomics studies related to T2DM have revealed changes in expression of a large number of metabolic genes in a variety of tissues. Identification of the molecular mechanisms underlying these transcriptional changes and their impact on the cellular metabolic phenotype is a challenging task due to the complexity of transcriptional regulation and the highly interconnected nature of the metabolic network. In this study we integrate skeletal muscle gene expression datasets with human metabolic network reconstructions to identify key metabolic regulatory features of T2DM. These features include reporter metabolites--metabolites with significant collective transcriptional response in the associated enzyme-coding genes, and transcription factors with significant enrichment of binding sites in the promoter regions of these genes. In addition to metabolites from TCA cycle, oxidative phosphorylation, and lipid metabolism (known to be associated with T2DM), we identified several reporter metabolites representing novel biomarker candidates. For example, the highly connected metabolites NAD+/NADH and ATP/ADP were also identified as reporter metabolites that are potentially contributing to the widespread gene expression changes observed in T2DM. An algorithm based on the analysis of the promoter regions of the genes associated with reporter metabolites revealed a transcription factor regulatory network connecting several parts of metabolism. The identified transcription factors include members of the CREB, NRF1 and PPAR family, among others, and represent regulatory targets for further experimental analysis. Overall, our results provide a holistic picture of key metabolic and regulatory nodes potentially involved in the pathogenesis of T2DM.

摘要

2 型糖尿病(T2DM)是一种以胰岛素抵抗和胰岛素分泌受损为特征的疾病。最近与 T2DM 相关的转录组学研究揭示了多种组织中大量代谢基因表达的变化。由于转录调控的复杂性和代谢网络的高度互联性,确定这些转录变化背后的分子机制及其对细胞代谢表型的影响是一项具有挑战性的任务。在这项研究中,我们将骨骼肌基因表达数据集与人类代谢网络重建相结合,以确定 T2DM 的关键代谢调节特征。这些特征包括报告代谢物——与相关酶编码基因的转录有显著集体反应的代谢物,以及在这些基因启动子区域有显著结合位点富集的转录因子。除了与 T2DM 相关的 TCA 循环、氧化磷酸化和脂质代谢的代谢物(已知与 T2DM 相关)外,我们还鉴定了几个代表新的生物标志物候选物的报告代谢物。例如,高度连接的 NAD+/NADH 和 ATP/ADP 代谢物也被鉴定为报告代谢物,它们可能导致 T2DM 中观察到的广泛基因表达变化。基于与报告代谢物相关的基因启动子区域分析的算法揭示了连接代谢多个部分的转录因子调控网络。鉴定的转录因子包括 CREB、NRF1 和 PPAR 家族等成员,它们是进一步实验分析的调节靶点。总的来说,我们的研究结果提供了一个整体的图景,显示了潜在参与 T2DM 发病机制的关键代谢和调节节点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2c/2848542/387ad096c710/pcbi.1000729.g001.jpg

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