Dissection of the potential anti‐diabetes mechanism of salvianolic acid B by metabolite profiling and network pharmacology

化学 药理学 代谢物 蛋白激酶B PI3K/AKT/mTOR通路 代谢途径 新陈代谢 信号转导 生物化学 医学
作者
Feng‐Xiang Zhang,Shuangshuang Cui,Yu‐lin‐lan Yuan,Chang Li,Rui-Man Li
出处
期刊:Rapid Communications in Mass Spectrometry [Wiley]
卷期号:36 (1): e9205-e9205 被引量:13
标识
DOI:10.1002/rcm.9205
摘要

Rationale Salvianolic acid B (Sal B), the Q‐marker in Salvia miltiorrhiza , was proved to present an obvious anti‐diabetes effect when treated as a food intake. Until now, the metabolism feature, tissue distribution and anti‐diabetes mechanism of Sal B have not been fully elucidated. Methods The metabolites of Sal B in rats were profiled using ultrahigh‐performance liquid chromatography coupled with time‐of‐flight mass spectrometry. The potential anti‐diabetes mechanism of Sal B was predicted by network pharmacology. Results A total of 31 metabolites were characterized in rats after ingestion of Sal B at a dosage of 40 mg/kg, including 1 in plasma, 19 in urine, 31 in feces, 0 in heart, 0 in liver, 0 in spleen, 1 in lung, 1 in kidney and 0 in brain. Among them, 18 metabolites were reported for the first time. Phase I reactions of hydrolysis, hydrogenation, dehydroxylation, hydroxylation, decarboxylation and isomerization, and phase II reactions of methylation were found in Sal B. Notably, decarboxylation and dehydroxylation were revealed in Sal B for the first time. The pharmacology network results showed that Sal B and its metabolites could regulate ALB, PLG, ACE, CASP3, MMP9, MMP2, MTOR, etc. The above targets were involved in insulin signaling pathway, PI3K‐Akt signaling pathway, HIF‐1 signaling pathway, TNF signaling pathway, etc. Conclusions The metabolism feature of Sal B in vivo was systematically revealed, and its anti‐diabetes mechanism for further pharmacological validations was predicted based on metabolite profiling and network pharmacology for the first time.
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
liugg发布了新的文献求助10
1秒前
sdWang发布了新的文献求助10
1秒前
离言完成签到,获得积分10
2秒前
深情安青应助MMMMMa采纳,获得10
5秒前
yu完成签到,获得积分10
5秒前
大布发布了新的文献求助10
7秒前
兴奋不平完成签到,获得积分10
8秒前
省静霞完成签到,获得积分10
8秒前
Lucas应助YYM采纳,获得10
9秒前
秀秀完成签到,获得积分10
11秒前
长颈鹿完成签到 ,获得积分10
11秒前
11秒前
liugg完成签到,获得积分10
11秒前
Uzma完成签到,获得积分10
11秒前
13秒前
misu完成签到,获得积分10
13秒前
墨泊凉完成签到,获得积分10
14秒前
15秒前
15秒前
16秒前
whiteandpink098完成签到 ,获得积分10
16秒前
16秒前
JamesPei应助淡定小馒头采纳,获得10
17秒前
科研通AI6.2应助张志超采纳,获得10
18秒前
poki完成签到,获得积分10
18秒前
18秒前
rtf完成签到 ,获得积分10
18秒前
李爱国应助时倾采纳,获得10
19秒前
19秒前
20秒前
充电宝应助XUAN采纳,获得10
20秒前
天天发布了新的文献求助30
20秒前
莹莹啊发布了新的文献求助10
20秒前
21秒前
22秒前
YYM发布了新的文献求助10
22秒前
22秒前
龙吟完成签到,获得积分10
22秒前
笨笨听寒完成签到 ,获得积分10
23秒前
犹豫的向松完成签到 ,获得积分10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7717773
求助须知:如何正确求助?哪些是违规求助? 9272180
关于积分的说明 20089836
捐赠科研通 7294013
什么是DOI,文献DOI怎么找? 3299167
关于科研通互助平台的介绍 2453174
邀请新用户注册赠送积分活动 2306516