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结合化学指纹图谱和生物活性评价探讨丹参的抗菌成分。

Combination of chemical fingerprint and bioactivity evaluation to explore the antibacterial components of Salvia miltiorrhizae.

机构信息

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, P.R. China.

Pharmacy College, Jinzhou Medical University, Jinzhou, 121001, P.R. China.

出版信息

Sci Rep. 2017 Aug 14;7(1):8112. doi: 10.1038/s41598-017-08377-0.

DOI:10.1038/s41598-017-08377-0
PMID:28808259
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5556045/
Abstract

The aim of this study was to explore the possible antibacterial components of Salvia miltiorrhizae on Pseudomonas aeruginosa using a combination of chemical fingerprint and bioactivity evaluation. The chemical fingerprints of 32 batches of S. miltiorrhizae samples from different sources were developed using high-performance liquid chromatography with diode array detection, and then were evaluated by similarity analysis and hierarchical clustering analysis. Anti-P. aeruginosa activity was determined by microcalorimetry. Some crucial thermokinetic parameters obtained from the heat-flow power-time curves of P. aeruginosa growth in the absence or presence of these S. miltiorrhizae samples were evaluated using principal component analysis. Thereafter, multiple linear regression analysis was used to analyze the fingerprint-activity relationship between the chemical fingerprints and anti-P. aeruginosa activity. This established the related equation between the inhibition ratio (I, %) of S. miltiorrhizae samples on P. aeruginosa and the peak areas of the common peaks. The results showed that the 32S. miltiorrhizae samples could be grouped into three clusters according to their chemical fingerprints and anti-P. aeruginosa activities. Protocatechualdehyde, salvianolic acid B, together with three unidentified compounds might be the major components that contributed largely to the antibacterial properties of S. miltiorrhizae and should be the focus of S. miltiorrhizae quality control. Thus, this study provided a preferred way for exploring the bioactive components of medicinal plants.

摘要

本研究旨在采用化学指纹图谱和生物活性评价相结合的方法,探讨丹参对铜绿假单胞菌的潜在抗菌成分。采用二极管阵列检测高效液相色谱法建立了 32 批不同来源丹参样品的化学指纹图谱,然后通过相似度分析和层次聚类分析进行评价。采用微量热法测定抗铜绿假单胞菌活性。从无或有这些丹参样品存在的情况下铜绿假单胞菌生长的热流功率-时间曲线中获得的一些关键热动力学参数,采用主成分分析进行评价。然后,采用多元线性回归分析对化学指纹图谱与抗铜绿假单胞菌活性之间的指纹-活性关系进行分析。建立了丹参样品对铜绿假单胞菌的抑制率(I,%)与共有峰峰面积之间的相关方程。结果表明,根据化学指纹图谱和抗铜绿假单胞菌活性,32 批丹参样品可分为 3 组。原儿茶醛、丹酚酸 B 以及三种未鉴定化合物可能是丹参发挥抗菌作用的主要成分,应成为丹参质量控制的重点。因此,本研究为探索药用植物的生物活性成分提供了一种优选方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/10d352b7160f/41598_2017_8377_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/1b55f6663b0b/41598_2017_8377_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/374483b76be9/41598_2017_8377_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/e8dddec1d4ab/41598_2017_8377_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/eb3c68731ca0/41598_2017_8377_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/0833a78ada80/41598_2017_8377_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/10d352b7160f/41598_2017_8377_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/1b55f6663b0b/41598_2017_8377_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/374483b76be9/41598_2017_8377_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/e8dddec1d4ab/41598_2017_8377_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/eb3c68731ca0/41598_2017_8377_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/0833a78ada80/41598_2017_8377_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a81/5556045/10d352b7160f/41598_2017_8377_Fig6_HTML.jpg

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