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自动液液萃取表面分析联用串联质谱法对心肌缺血猪组织中丹酚酸的分布分析

Distribution Analysis of Salvianolic Acids in Myocardial Ischemic Pig Tissues by Automated Liquid Extraction Surface Analysis Coupled with Tandem Mass Spectrometry.

作者信息

Qiu Qi, Cao Jinglin, Mu Yu, Lin Yang, Zhang Yunnan, Li Jing, Shi Xiujin

机构信息

Department of Pharmacy, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.

School of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.

出版信息

Evid Based Complement Alternat Med. 2020 Sep 14;2020:8476794. doi: 10.1155/2020/8476794. eCollection 2020.

DOI:10.1155/2020/8476794
PMID:33005204
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7509547/
Abstract

The distribution of active compounds of traditional Chinese medicine Bunge (Chinese name: Danshen) in vivo was determined by establishing a liquid extraction surface analysis coupled with the tandem mass spectrometry (LESA-MS/MS) method. Stability analysis and distribution analysis were designed in the present study using normal animals or a myocardial ischemia model. The model assessment was performed four weeks after surgery, and then three groups were created: a normal-dose group, a model-blank group, and a model-dose group. Meanwhile, Danshen decoction administration began in dose groups and lasted for four weeks. In stability analysis, four salvianolic acids-Danshensu (DSS), caffeic acid (CAA), rosmarinic acid (RA), and salvianolic acid A (SAA)-in kidney tissues from the normal-dose group were detected by LESA-MS/MS under four conditions, and then distribution analysis was conducted in different tissues using the same method. Ejection fraction (EF) and fractional shortening (FS) in animals from two model groups decreased significantly four weeks after surgery ( < 0.01) and were improved after four weeks of Danshen decoction administration ( < 0.01). Results of stability analysis demonstrated that this method was basically stable since there were no significant differences in signal intensities of DSS, CAA, and SAA under four conditions ( > 0.05). Distribution analysis showed the signal intensities of DSS in the liver and kidney and SAA in the heart were higher in the model-dose group than in the normal-dose group ( < 0.05 or  < 0.01). Signal intensities of RA in the liver and kidney, and SAA in the liver were lower in the model-dose group compared with the normal-dose group ( < 0.05 or  < 0.01). In conclusion, Danshen decoction has the effect of improving the ischemic condition in a chronic myocardial ischemia model, and the content of two active compounds increased in the targets. These findings contribute to an understanding of the therapeutic role of Danshen in cardiovascular disease.

摘要

通过建立液相萃取表面分析联用串联质谱法(LESA-MS/MS),测定了中药丹参活性成分在体内的分布情况。本研究使用正常动物或心肌缺血模型进行稳定性分析和分布分析。术后四周进行模型评估,然后分为三组:正常剂量组、模型空白组和模型剂量组。同时,剂量组开始给予丹参水煎剂,持续四周。在稳定性分析中,采用LESA-MS/MS在四种条件下检测正常剂量组肾组织中的四种丹酚酸——丹参素(DSS)、咖啡酸(CAA)、迷迭香酸(RA)和丹酚酸A(SAA),然后用相同方法在不同组织中进行分布分析。两个模型组动物术后四周射血分数(EF)和缩短分数(FS)显著降低(<0.01),给予丹参水煎剂四周后有所改善(<0.01)。稳定性分析结果表明,该方法基本稳定,因为四种条件下DSS、CAA和SAA的信号强度无显著差异(>0.05)。分布分析显示,模型剂量组肝脏和肾脏中DSS以及心脏中SAA的信号强度高于正常剂量组(<0.05或<0.01)。与正常剂量组相比,模型剂量组肝脏和肾脏中RA以及肝脏中SAA的信号强度较低(<0.05或<0.01)。总之,丹参水煎剂对慢性心肌缺血模型具有改善缺血状态的作用,且两种活性成分在靶组织中的含量增加。这些发现有助于理解丹参在心血管疾病中的治疗作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/4c97a321bf7a/ECAM2020-8476794.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/75df903c0634/ECAM2020-8476794.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/b22c29e21763/ECAM2020-8476794.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/ce5610a014b3/ECAM2020-8476794.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/0a4c2d11ec62/ECAM2020-8476794.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/4c97a321bf7a/ECAM2020-8476794.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/75df903c0634/ECAM2020-8476794.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/b22c29e21763/ECAM2020-8476794.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/ce5610a014b3/ECAM2020-8476794.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/0a4c2d11ec62/ECAM2020-8476794.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1093/7509547/4c97a321bf7a/ECAM2020-8476794.005.jpg

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