基于铁死亡的糖尿病肾病发病机制及中药干预的研究进展
Research Progress on Pathogenesis of Diabetic Kidney Disease Based on Ferroptosis and Intervention of Traditional Chinese Medicine
樊俐慧 1王志刚 2杨霞 2张坤 1梅小龙1
作者信息
- 1. 甘肃中医药大学中医临床学院,甘肃 兰州 730000
- 2. 天水市中医医院,甘肃 天水 741000
- 折叠
摘要
糖尿病肾病(diabetic kidney disease,DKD)是全球终末期肾病的主要原因,是糖尿病的主要微血管并发症之一.DKD的发病机制是多因素的,其病理过程涉及多种途径.铁死亡是一种以铁依赖性脂质过氧化为特征的调节性细胞死亡.近几年,越来越多的研究表明铁死亡是DKD发生发展的关键驱动因素,在各种肾脏疾病的发生、发展和治疗中起着至关重要的作用.中药以其多成分、多靶点、多途径的作用特点,在防治和延缓DKD进程方面具有独特优势.该文重点总结铁死亡关键调节因子和信号途径对DKD病理过程的影响,以及中药调控铁死亡关键因子与通路防治DKD的研究进展,以期为DKD的临床治疗和中药新药的研发提供新思路.
Abstract
Diabetic kidney disease(DKD)is the leading cause of end-stage renal disease worldwide and one of the major microvascular complications of diabetes.The pathogenesis of DKD is multifactorial,and its pathological process involves multiple pathways.Ferroptosis is a regulatory cell death characterized by iron dependent lipid peroxidation.Recently,an increasing number of studies have shown that ferroptosis is a key driving factor for the occurrence and development of DKD and has been identified to play a crucial role in the occurrence,development,and treatment of various kidney diseases.Traditional Chinese medicine has unique advantages in preventing and delaying the progression of DKD due to the characteristics of multi-component,multi-target,and multi-pathway.This article focuses on summarizing the impact of key regulatory factors and signaling pathways of ferroptosis on the pathological process of DKD,as well as the research progress of traditional Chinese medicine in regulating ferroptosis key factors and pathways for preventing and treating DKD.The aim of this study is to provide new ideas for the clinical treatment of DKD and the development of new traditional Chinese medicine drugs.
关键词
铁死亡/糖尿病肾病/作用机制/中药复方/活性成分Key words
Ferroptosis/diabetic kidney disease/mechanism/traditional Chinese medicine formula/active ingredients引用本文复制引用
基金项目
甘肃省中医药科研课题(GZKP-2021-46)
天水市科技支撑计划(2020-SHFZKJK-4207)
甘肃省产业支撑计划(2021CYZC-03)
甘肃省中医药综合防治重大疑难疾病科技攻关计划(GZKZD-2018-01)
出版年
2024
NETL
NSTL
万方数据