Data mining-guided alleviation of hyperuricemia by Paeonia veitchii Lynch through inhibition of xanthine oxidase and regulation of renal urate transporters

高尿酸血症 黄嘌呤氧化酶 药理学 痛风 化学 传统医学 尿酸 次黄嘌呤 医学 生物化学
作者
Jiana Du,Na Wang,Dehong Yu,Pei He,Yu Gao,Yanbei Tu,Yanfang Li
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:124: 155305-155305 被引量:9
标识
DOI:10.1016/j.phymed.2023.155305
摘要

Hyperuricemia (HUA) is a metabolic disease characterized by a high level of uric acid (UA). The extensive historical application of traditional Chinese medicine (TCM) offers a range of herbs and prescriptions used for the treatment of HUA-related disorders. However, the core herbs in the prescriptions and their mechanisms have not been sufficiently explained. Our current investigation aimed to estimate the anti-HUA effect and mechanisms of Paeonia veitchii Lynch, an herb with high use frequency identified from data mining of TCM prescriptions. Prescriptions for HUA/gout treatment were statistically analyzed through a data mining approach to determine the common nature and use frequency of their composition herbs. The chemical constituents of Paeonia veitchii extract (PVE) were analyzed by UPLC-QTOF-MS/MS, while its UA-lowering effect was further evaluated in adenosine-induced liver cells and potassium oxonate (PO) and hypoxanthine (HX)-induced HUA mice. A total of 225 prescriptions involving 246 herbs were sorted out. The properties, flavors and meridians of the appearing herbs were mainly cold, bitter and liver, respectively, while their efficacy was primarily concentrated on clearing heat and dispelling wind. Further usage frequency analysis yielded the top 20 most commonly used herbs, in which PVE presented significant inhibitory activity (IC50 = 131.33 µg/ml) against xanthine oxidase (XOD), and its constituents showed strong binding with XOD in a molecular docking study and further were experimentally validated through XOD enzymatic inhibition and surface plasmon resonance (SPR). PVE (50 to 200 μg/ml) dose-dependently decreased UA levels by inhibiting XOD expression and activity in BRL 3A liver cells. In HUA mice, oral administration of PVE exhibited a significant UA-lowering effect, which was attributed to the reduction of UA production by inhibiting XOD activity and expression, as well as the enhancement of UA excretion by regulating renal urate transporters (URAT1, GLUT9, OAT1 and ABCG2). Noticeably, all doses of PVE treatment did not cause any liver injury, and displayed a renal protective effect. Our results first comprehensively clarified the therapeutic effect and mechanisms of PVE against HUA through suppressing UA production and promoting UA excretion with hepatic and renal protection, suggesting that PVE could be a promising UA-lowering candidate with a desirable safety profile for the treatment of HUA and prevention of gout.
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
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
zyc完成签到,获得积分10
4秒前
Ranrunn完成签到,获得积分10
5秒前
甘sir完成签到 ,获得积分10
5秒前
nano完成签到 ,获得积分10
10秒前
八点必起完成签到,获得积分10
11秒前
三石完成签到,获得积分10
12秒前
崔帅完成签到,获得积分10
13秒前
柒八染完成签到 ,获得积分10
13秒前
Hello应助正直的语蝶采纳,获得10
14秒前
rayqiang完成签到,获得积分0
14秒前
cdercder应助科研通管家采纳,获得10
14秒前
tuanhust应助科研通管家采纳,获得20
14秒前
几携完成签到 ,获得积分10
15秒前
Chen272完成签到,获得积分10
16秒前
s1kl完成签到,获得积分10
16秒前
17秒前
hky完成签到 ,获得积分10
17秒前
何果果完成签到,获得积分10
18秒前
军军问问张完成签到,获得积分10
18秒前
ZC完成签到,获得积分10
19秒前
math-naive完成签到,获得积分10
19秒前
转山转水转出了自我完成签到,获得积分10
22秒前
费老五发布了新的文献求助10
24秒前
风格完成签到,获得积分10
25秒前
科研狗完成签到 ,获得积分10
29秒前
懒虫儿坤完成签到,获得积分10
30秒前
30秒前
cdercder应助真实的火车采纳,获得10
32秒前
熊博士完成签到,获得积分10
34秒前
斯文败类应助吹梦西洲采纳,获得10
40秒前
LC完成签到,获得积分10
40秒前
共享精神应助费老五采纳,获得10
46秒前
孤海未蓝完成签到,获得积分10
49秒前
米九完成签到,获得积分10
51秒前
莓卡卡的小葡萄应助12采纳,获得10
53秒前
for_abSCI完成签到,获得积分10
54秒前
和气生财君完成签到 ,获得积分10
55秒前
聪明的宛菡完成签到,获得积分10
55秒前
落霞完成签到,获得积分10
55秒前
鑫光熠熠完成签到 ,获得积分10
55秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3736760
求助须知:如何正确求助?哪些是违规求助? 3280670
关于积分的说明 10020365
捐赠科研通 2997407
什么是DOI,文献DOI怎么找? 1644533
邀请新用户注册赠送积分活动 782083
科研通“疑难数据库(出版商)”最低求助积分说明 749656