Integrative serum metabolomic analysis for preventive effects of Yaobitong capsule in adjuvant-induced rheumatoid arthritis rat based on RP/HILIC-UHPLC-Q-TOF MS

代谢组学 类风湿性关节炎 代谢物 化学 关节炎 亲水作用色谱法 药理学 医学 色谱法 生物化学 内科学 高效液相色谱法
作者
Wei Shi,Yajie Deng,Chenyang Zhao,Wei Xiao,Zhenzhong Wang,Zhili Xiong,Longshan Zhao
出处
期刊:Analytical Biochemistry [Elsevier]
卷期号:637: 114474-114474 被引量:13
标识
DOI:10.1016/j.ab.2021.114474
摘要

Yaobitong capsule (YBTC) has been used for the prevention and treatment of inflammation-related lumbago and leg pain. However, its intervention mechanism still remains unclear. This study was aimed to evaluate the control efficiency of YBTC on adjuvant-induced rheumatoid arthritis (RA) rats by metabonomic method and to explore its possible anti-arthritis mechanism. Taking into account the complexity of endogenous metabolites in serum samples, an integrated metabolomics method based on RP/HILIC-UHPLC-Q-TOF MS was developed, to overcome the limitations of a single chromatographic in this study. The results showed that 32 potential biomarkers of arthritis were identified, primarily related to amino acid metabolism, glucose metabolism, lipid metabolism and nucleotide metabolism. Further receiver operating characteristic analysis revealed that the area under the curve of two down-regulated metabolites (3-Hydroxy-hexadecanoic acid, 2-Oxoarginine) and one up-regulated metabolite (l-Glutamic acid) among 32 biomarkers were 0.906, 0.969 and 1.000, respectively, indicating that high predictive ability of this method for RA. In this study, an integrated serum metabolomics method based on high-resolution mass spectrometry was successfully established for the first time to study the intervention mechanism of YBTC in RA, providing evidence regarding the clinical application of YBTC and a new insight for the prevention of RA in the future.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
如昨应助科研通管家采纳,获得10
刚刚
NEKO发布了新的文献求助30
刚刚
如昨应助科研通管家采纳,获得10
刚刚
orixero应助科研通管家采纳,获得10
1秒前
BareBear应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得30
1秒前
一一应助科研通管家采纳,获得10
1秒前
赘婿应助科研通管家采纳,获得10
1秒前
xzn1123应助科研通管家采纳,获得10
1秒前
BareBear应助科研通管家采纳,获得10
1秒前
李健应助科研通管家采纳,获得10
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
Hello应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
一一应助科研通管家采纳,获得10
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
隐形曼青应助科研通管家采纳,获得10
1秒前
聪明凡之应助科研通管家采纳,获得10
1秒前
1秒前
zxc完成签到,获得积分10
2秒前
4秒前
5秒前
feb完成签到,获得积分10
6秒前
南无三完成签到,获得积分10
7秒前
7秒前
好运连连发布了新的文献求助10
9秒前
zhou完成签到,获得积分10
9秒前
10秒前
张大旺发布了新的文献求助10
10秒前
15秒前
WZY完成签到,获得积分10
15秒前
17秒前
苏远山爱吃西红柿完成签到,获得积分10
18秒前
小小美少女完成签到 ,获得积分10
19秒前
19秒前
碧空蝉完成签到,获得积分10
22秒前
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
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
El poder y la palabra: prensa y poder político en las dictaduras : el régimen de Franco ante la prensa y el periodismo 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5604076
求助须知:如何正确求助?哪些是违规求助? 4688879
关于积分的说明 14856774
捐赠科研通 4696188
什么是DOI,文献DOI怎么找? 2541118
邀请新用户注册赠送积分活动 1507302
关于科研通互助平台的介绍 1471851