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.
Keywords: Herbal medicines; Screening analysis; Thai herbal Sahatsatara formula; UPLC-QTOF-MS; Untargeted metabolomics.
© 2023 The Authors.