The mechanisms underlying Chinese medicines to treat inflammation in diabetic kidney disease

医学 中医药 药方 传统医学 重症监护医学 肾脏疾病 替代医学 疾病 不利影响 药品 随机对照试验 临床试验 糖尿病 药理学 内科学 病理 内分泌学
作者
L. Deng,Chunru Shi,Run Li,Yifan Zhang,Xiaochen Wang,Guangyan Cai,Quan Hong,Xiangmei Chen
出处
期刊:Journal of Ethnopharmacology [Elsevier]
卷期号:333: 118424-118424 被引量:1
标识
DOI:10.1016/j.jep.2024.118424
摘要

Diabetic kidney disease (DKD) is the main cause of end-stage renal disease (ESRD), which is a public health problem with a significant economic burden. Serious adverse effects, such as hypotension, hyperkalemia, and genitourinary infections, as well as increasing adverse cardiovascular events, limit the clinical application of available drugs. Plenty of randomized controlled trials(RCTs), meta-analysis(MAs) and systematic reviews(SRs) have demonstrated that many therapies that have been used for a long time in medical practice including Chinese patent medicines(CPMs), Chinese medicine prescriptions, and extracts are effective in alleviating DKD, but the mechanisms by which they work are still unknown. Currently, targeting inflammation is a central strategy in DKD drug development. In addition, many experimental studies have identified many Chinese medicine prescriptions, medicinal herbs and extracts that have the potential to alleviate DKD. And part of the mechanisms by which they work have been uncovered. This review aims to summarize therapies that have been proven effective by RCTs, MAs and SRs, including CPMs, Chinese medicine prescriptions, and extracts. This review also focuses on the efficiency and potential targets of Chinese medicine prescriptions, medicinal herbs and extracts discovered in experimental studies in improving immune inflammation in DKD. We searched for relevant scientific articles in the following databases: PubMed, Google Scholar, and Web of Science. We summarized effective CPMs, Chinese medicine prescriptions, and extracts from RCTs, MAs and SRs. We elaborated the signaling pathways and molecular mechanisms by which Chinese medicine prescriptions, medicinal herbs and extracts alleviate inflammation in DKD according to different experimental studies. After overviewing plenty of RCTs with the low hierarchy of evidence and MAs and SRs with strong heterogeneity, we still found that CPMs, Chinese medicine prescriptions, and extracts exerted promising protective effects against DKD. However, there is insufficient evidence to prove the safety of Chinese medicines. As for experimental studies, Experiments in vitro and in vivo jointly demonstrated the efficacy of Chinese medicines(Chinese medicine prescriptions, medicinal herbs and extracts) in DKD treatment. Chinese medicines were able to regulate signaling pathways to improve inflammation in DKD, such as toll-like receptors, NLRP3 inflammasome, Nrf2 signaling pathway, AMPK signaling pathway, MAPK signaling pathway, JAK-STAT, and AGE/RAGE. Chinese medicines (Chinese medicine prescriptions, medicinal herbs and extracts) can improve inflammation in DKD. For drugs that are effective in RCTs, the underlying bioactive components or extracts should be identified and isolated. Attention should be given to their safety and pharmacokinetics. Acute, subacute, and subchronic toxicity studies should be designed to determine the magnitude and tolerability of side effects in humans or animals. For drugs that have been proven effective in experimental studies, RCTs should be designed to provide reliable evidence for clinical translation. In a word, Chinese medicines targeting immune inflammation in DKD are a promising direction.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
司空豁应助PCEEN采纳,获得10
刚刚
wy完成签到,获得积分10
1秒前
小萝卜完成签到,获得积分10
2秒前
tangyuan发布了新的文献求助10
3秒前
科研通AI2S应助周周采纳,获得10
3秒前
今后应助周周采纳,获得10
3秒前
4秒前
4秒前
十二完成签到,获得积分10
5秒前
千年雪松完成签到,获得积分10
6秒前
铁树完成签到,获得积分10
6秒前
无语的从云完成签到,获得积分10
6秒前
小二郎应助杨欣悦采纳,获得10
7秒前
FG发布了新的文献求助10
7秒前
zgy1106完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
ava发布了新的文献求助30
8秒前
Lucas应助陌路孤星采纳,获得10
8秒前
9秒前
a初心不变发布了新的文献求助10
9秒前
任然发布了新的文献求助10
9秒前
11秒前
123完成签到,获得积分10
11秒前
缥缈冷亦完成签到,获得积分10
11秒前
eco完成签到,获得积分10
12秒前
baihao821720完成签到 ,获得积分10
12秒前
12秒前
小蘑菇应助tangyuan采纳,获得10
12秒前
TruelyBe发布了新的文献求助10
12秒前
媛媛完成签到 ,获得积分10
13秒前
姜彦乔完成签到 ,获得积分10
13秒前
ALIVE_STAR完成签到,获得积分10
13秒前
1111完成签到,获得积分10
13秒前
13秒前
自觉之云发布了新的文献求助10
14秒前
兆丰发布了新的文献求助10
14秒前
杨。。完成签到 ,获得积分10
15秒前
朝阳完成签到 ,获得积分10
15秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
The Conscience of the Party: Hu Yaobang, China’s Communist Reformer 600
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3299089
求助须知:如何正确求助?哪些是违规求助? 2934118
关于积分的说明 8467235
捐赠科研通 2607521
什么是DOI,文献DOI怎么找? 1423776
科研通“疑难数据库(出版商)”最低求助积分说明 661689
邀请新用户注册赠送积分活动 645336