首页|多组学联用技术在中药治疗糖尿病肾病中的作用和机制研究进展

多组学联用技术在中药治疗糖尿病肾病中的作用和机制研究进展

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糖尿病肾脏疾病(Diabetic kidney disease,DKD)是糖尿病最严重的微血管并发症之一,其发病原因具有高度复杂性,涉及多种体内途径和肾外因素的影响。组学技术是基于高通量测序和检测的一系列分析技术,主要包括蛋白质组学、代谢组学、转录组学和基因组学等。现代药理研究中,单一组学研究虽然可以在一定程度上加深对DKD病理病机的了解,但尚不能全面阐明DKD病机间的多重性和关联性。而多组学联用则可以通过复杂的通路和网络关联来整合不同组学的数据,揭示各组学之间的调控关系,进而探究中医药干预DKD发生发展的相关机制,为发展新的治疗策略提供可能。本文旨在通过讨论单组学技术和多组学联用在中医药治疗DKD的作用和机制研究中的应用情况,为临床治疗DKD提供新思路、新方法。
Effect of Multi-Omics Combination on Treating Diabetic Kidney Disease with Chinese Medicine and Its Mechanism
Diabetic kidney disease(DKD)is one of the most serious microvascular complications of diabetes,and its pathogenesis is highly com-plex,involving multiple in vivo pathways and extrarenal factors.Omics technology is a series of analysis technologies based on high-throughput sequencing and detection,mainly including proteomics,metabolomics,transcriptomics,and genomics.By reviewing the modern pharmacologi-cal research,it is found that although single-omics research deepens the understanding of the pathogenesis of DKD to a certain extent,it cannot fully clarify the multiplicity and correlation among the pathogenesis of DKD.The multi-omics combination integrates the data of different omics through complex pathways and networks,and reveals the regulatory relationship among each single omics,thus exploring the related mechanism of Chinese medicine intervention in the occurrence and development of DKD.The multi-omics combination provides possibilities for the development of new treatment strategies.This article discussed the effect of using single-omics technology and multi-omics combination on the treatment of DKD with Chinese medicine and the mechanism,thereby providing new ideas and new methods for clinical treatment of DKD.

Chinese medicineDiabetesDiabetic kidney disease(DKD)ProteomicsMetabolomicsTranscriptomicsMulti-omics

孟雨帆、吴宿慧、李寒冰、李根林、徐江雁

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河南中医药大学,郑州 450046

河南省仲景方药健康衰老产业工程研究中心,郑州 450046

中药 糖尿病 糖尿病肾脏疾病 蛋白质组学 代谢组学 转录组学 多组学

国家重点研发计划项目河南省科技攻关计划

2020YFE0201800212102310347

2024

中药药理与临床
中国药理学会 四川省中医药科学院

中药药理与临床

北大核心
影响因子:0.996
ISSN:1001-859X
年,卷(期):2024.40(1)
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