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利用 DNA 代谢组学揭示泰国国家基本药物清单(NLEM)中选定草药药物中的植物物种组成。

DNA metabarcoding to unravel plant species composition in selected herbal medicines on the National List of Essential Medicines (NLEM) of Thailand.

机构信息

Research Unit of DNA Barcoding of Thai Medicinal Plants, Department of Pharmacognosy and Pharmaceutical Botany, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.

Omics Sciences and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.

出版信息

Sci Rep. 2020 Oct 26;10(1):18259. doi: 10.1038/s41598-020-75305-0.

Abstract

Traditional medicines are widely traded across the globe and have received considerable attention in the recent past, with expectations of heightened demand in the future. However, there are increasing global concerns over admixture, which can affect the quality, safety, and efficacy of herbal medicinal products. In this study, we aimed to use DNA metabarcoding to identify 39 Thai herbal products on the Thai National List of Essential Medicines (NLEM) and assess species composition and admixture. Among the products, 24 samples were in-house-prepared formulations, and 15 samples were registered formulations. In our study, DNA metabarcoding analysis using ITS2 and rbcL barcode regions were employed to identify herbal ingredients mentioned in the products. The nuclear region, ITS2, was able to identify herbal ingredients in the products at the genus- and family-levels in 55% and 63% of cases, respectively. The chloroplast gene, rbcL, enabled genus- and family-level identifications in 58% and 73% of cases, respectively. In addition, plant species were detected in larger numbers (Family identified, absolute %) in registered herbal products than in in-house-prepared formulations. The level of fidelity increases concerns about the reliability of the products. This study highlights that DNA metabarcoding is a useful analytical tool when combined with advanced chemical techniques for the identification of plant species in highly processed, multi-ingredient herbal products.

摘要

传统药物在全球范围内广泛交易,近年来受到了相当多的关注,预计未来需求会增加。然而,全球对掺杂物的担忧日益加剧,这可能会影响草药产品的质量、安全性和疗效。在这项研究中,我们旨在使用 DNA 代谢组学来识别泰国国家基本药物清单 (NLEM) 上的 39 种泰国草药产品,并评估其物种组成和掺杂物。在这些产品中,有 24 个是内部制备的配方,有 15 个是注册的配方。在我们的研究中,使用 ITS2 和 rbcL 条码区域的 DNA 代谢组学分析来识别产品中提到的草药成分。核区域 ITS2 能够分别在 55%和 63%的情况下识别产品中的草药成分属和科水平。叶绿体基因 rbcL 能够分别在 58%和 73%的情况下识别属和科水平。此外,注册的草药产品中检测到的植物种类数量较多(鉴定的科属,绝对%)。保真度的提高增加了对产品可靠性的担忧。本研究表明,DNA 代谢组学是一种有用的分析工具,当与先进的化学技术结合使用时,可用于鉴定高度加工的多成分草药产品中的植物物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4311/7588419/3e906d1ba1bd/41598_2020_75305_Fig1_HTML.jpg

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