综合系统生物学框架发现在机制上不同的炎症性皮肤病中共同的基因调控特征。

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bharat Mishra, Yifei Gou, Zhengzhi Tan, Yiqing Wang, Getian Hu, Mohammad Athar, M Shahid Mukhtar
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引用次数: 0

摘要

全世界20%以上的人口患有非传染性炎症性皮肤病,包括牛皮癣、特应性皮炎、化脓性汗腺炎、酒渣鼻等。这些慢性病中有许多是痛苦的,使人衰弱,有效的治疗干预措施有限。本研究旨在确定炎症性皮肤病分子发病机制的共同调控途径和主控调控因子。我们设计了一个综合系统生物学框架来确定几种疾病的重要调节因子。网络分析揭示了55种高价值蛋白质在分子发病机制中的重要调节作用,可以作为更有效治疗的假定药物靶点。我们确定IKZF1是化脓性汗腺炎、特应性皮炎和酒渣鼻的共同主调控因子,具有已知的疾病衍生分子,可用于开发针对这些疾病的有效组合治疗。所提出的框架是非常模块化的,并且从复杂的转录组学数据和其他多组学数据中指出了基于分子机制的药物开发的重要途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative systems biology framework discovers common gene regulatory signatures in mechanistically distinct inflammatory skin diseases.

More than 20% of the population across the world is affected by non-communicable inflammatory skin diseases including psoriasis, atopic dermatitis, hidradenitis suppurativa, rosacea, etc. Many of these chronic diseases are painful and debilitating with limited effective therapeutic interventions. This study aims to identify common regulatory pathways and master regulators that regulate the molecular pathogenesis of inflammatory skin diseases. We designed an integrative systems biology framework to identify the significant regulators across several diseases. Network analytics unraveled 55 high-value proteins as significant regulators in molecular pathogenesis which can serve as putative drug targets for more effective treatments. We identified IKZF1 as a shared master regulator in hidradenitis suppurativa, atopic dermatitis, and rosacea with known disease-derived molecules for developing efficacious combinatorial treatments for these diseases. The proposed framework is very modular and indicates a significant path of molecular mechanism-based drug development from complex transcriptomics data and other multi-omics data.

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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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