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基于超高效液相色谱-四极杆飞行时间质谱法的泰国草药镇痛配方代谢组学分析

Metabolomic analysis of Thai Herbal Analgesic Formula based on ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry.

作者信息

Vannabhum Manmas, Ziangchin Natchaya, Thepnorarat Puthida, Akarasereenont Pravit

机构信息

Center of Applied Thai Traditional Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 10700, Bangkok, Thailand.

Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.

出版信息

Heliyon. 2023 Jul 17;9(7):e18296. doi: 10.1016/j.heliyon.2023.e18296. eCollection 2023 Jul.

DOI:10.1016/j.heliyon.2023.e18296
PMID:37539319
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10393632/
Abstract

Sahatsatara formula (STF), a Thai herbal medicine formula which has been commonly used as analgesic drugs to relieve musculoskeletal pain and numbness in Thai traditional medicine. The pharmacological studies of its ingredients have represented that have anti-inflammatory and antioxidant properties. However, the quality markers (Q-markers) for STF are still unknown and require further investigation. The primary goal of this study was to establish the chemical profile of STF though metabolomic analysis. Untargeted metabolomics were used to analyze global components and accurately qualify compounds. Multivariate analysis (MVA) was used to classify STF extract at three different concentrations and a quality control sample. Furthermore, samples' characteristics and identification-related markers were observed and compounds matched to the Traditional Chinese medicine library in UNIFI software. According to the results, chemical analysis revealed 63 compounds in positive mode and 33 compounds in negative mode within STF. Notably, 19 potential Q-markers were tentative identified in all three concentrations of STF, including alkaloids, terpenes, phenols, organic acids, disaccharides, fatty acids, glycosides, quinonoids, and steroids. The compounds exhibited pharmacological effects such as anti-inflammatory activity, anti-oxidant activity, and analgesic properties, which correlated to traditional properties of STF. Consequently, this study provides insights into the chemical profiles of the STF and identifies potential markers that can be utilized for qualitative and quantitative quality control of STF. Additionally, the findings can also be useful for further research into STF's anti-inflammatory properties through in vitro assays, as well as exploring its clinical efficacy to support evidence-based medicine for STF.

摘要

萨哈查塔拉配方(STF)是一种泰国草药配方,在泰国传统医学中通常用作镇痛药,以缓解肌肉骨骼疼痛和麻木。对其成分的药理研究表明,它具有抗炎和抗氧化特性。然而,STF的质量标志物(Q-标志物)仍然未知,需要进一步研究。本研究的主要目标是通过代谢组学分析建立STF的化学图谱。采用非靶向代谢组学分析整体成分并准确鉴定化合物。使用多变量分析(MVA)对三种不同浓度的STF提取物和一个质量控制样品进行分类。此外,观察样品的特征和与鉴定相关的标志物,并在UNIFI软件中将化合物与中药库进行匹配。根据结果,化学分析在STF中阳性模式下揭示了63种化合物,阴性模式下揭示了33种化合物。值得注意的是,在STF的所有三种浓度中初步鉴定出19种潜在的Q-标志物,包括生物碱、萜类、酚类、有机酸、二糖、脂肪酸、糖苷、醌类和甾体。这些化合物表现出抗炎活性、抗氧化活性和镇痛特性等药理作用,这与STF的传统特性相关。因此,本研究提供了对STF化学图谱的见解,并鉴定了可用于STF定性和定量质量控制的潜在标志物。此外,这些发现对于通过体外试验进一步研究STF的抗炎特性以及探索其临床疗效以支持STF的循证医学也可能有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/165afebb6ec5/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/df51d0ff2d2f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/fecb3be3d7ba/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/f2ca355551bf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/d7dbfffd8a6f/gr4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/165afebb6ec5/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/df51d0ff2d2f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/fecb3be3d7ba/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/f2ca355551bf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/d7dbfffd8a6f/gr4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dea/10393632/165afebb6ec5/gr5.jpg

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