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网络分析揭示了 II 型糖尿病皮肤中功能模式的失调。

Network analysis reveals dysregulated functional patterns in type II diabetic skin.

机构信息

Department of Biosystems Engineering, BIO5 Institute, University of Arizona, Tucson, AZ, 85721, USA.

Department of Management Information Systems, BIO5 Institute, University of Arizona, Tucson, AZ, 85721, USA.

出版信息

Sci Rep. 2022 Apr 27;12(1):6889. doi: 10.1038/s41598-022-10652-8.

Abstract

Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions between genes which can complement the analysis of single genes in previous research. Here, we use network analysis and topological properties to systematically investigate dysregulated gene co-expression patterns in type II diabetic skin with skin samples from the Genotype-Tissue Expression database. Our final network consisted of 8812 genes from 73 subjects with T2DM and 147 non-T2DM subjects matched for age, sex, and race. Two gene modules significantly related to T2DM were functionally enriched in the pathway lipid metabolism, activated by PPARA and SREBF (SREBP). Transcription factors KLF10, KLF4, SP1, and microRNA-21 were predicted to be important regulators of gene expression in these modules. Intramodular analysis and betweenness centrality identified NCOA6 as the hub gene while KHSRP and SIN3B are key coordinators that influence molecular activities differently between T2DM and non-T2DM populations. We built a TF-miRNA-mRNA regulatory network to reveal the novel mechanism (miR-21-PPARA-NCOA6) of dysregulated keratinocyte proliferation, differentiation, and migration in diabetic skin, which may provide new insights into the susceptibility of skin disorders in T2DM patients. Hub genes and key coordinators may serve as therapeutic targets to improve diabetic skincare.

摘要

皮肤疾病是 II 型糖尿病(T2DM)最常见的并发症之一。长期高血糖对 T2DM 个体的影响使他们更容易患上皮肤疾病,但其中的潜在分子机制尚不清楚。基于网络的方法考虑了基因之间的复杂相互作用,可以补充之前研究中单基因分析的不足。在这里,我们使用网络分析和拓扑特性,从基因-组织表达数据库中对 T2DM 皮肤的失调基因共表达模式进行了系统研究。我们的最终网络由 73 名 T2DM 患者和 147 名年龄、性别和种族匹配的非 T2DM 患者的 8812 个基因组成。与 T2DM 显著相关的两个基因模块在脂质代谢途径中具有功能富集性,受 PPARA 和 SREBF(SREBP)激活。预测转录因子 KLF10、KLF4、SP1 和 microRNA-21 是这些模块中基因表达的重要调节因子。模块内分析和介数中心性确定 NCOA6 为枢纽基因,而 KHSRP 和 SIN3B 是关键协调因子,它们在 T2DM 和非 T2DM 人群之间以不同的方式影响分子活性。我们构建了一个 TF-miRNA-mRNA 调控网络,揭示了糖尿病皮肤中角质形成细胞增殖、分化和迁移失调的新机制(miR-21-PPARA-NCOA6),这可能为 T2DM 患者皮肤疾病易感性提供新的见解。枢纽基因和关键协调因子可以作为治疗靶点,改善糖尿病皮肤护理。

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