Metabolomics Analysis of Region‑Specific Polygoni Multiflori Radix Metabolite Profiles
Yonghui Rui2,3★, Xiaohua Ou2,3★, Jiahui Li2,3, Keke Luo2,3, Wenjing Deng2,3, Xiaoxia Gao4, Mengling He2,3, Hongyi Zhang2,3, Hanjing Yan2,3★★ Corresponding author
- 1Department of School of Traditional Chinese Medicine, China.
- 2Department of Key Laboratory of Production and Development of Lingnan Crude Drugs of State Administration of TCM, School of Traditional Chinese Medicine, China.
- 3Department of School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
CORRESPONDENCE
Yonghui Rui
Department of Key Laboratory of Production and Development of Lingnan Crude Drugs of State Administration of TCM, School of Traditional Chinese Medicine, China.
Received: 24-01-2022; Revised: 24-04-2022; Accepted: 01-08-2022.
Volume 18, Issue 80 · pp. 1118–1128 · PUBLISHED 23 November 2022 · DOI: 10.4103/pm.pm_35_22
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ABSTRACT
Objectives: The present comparative metabolite analysis study was conducted in an effort to understand the relationship between the geographical origin of PMR samples and their medicinal properties. Materials and Methods: As a metabolomics analysis of 35 PMR samples collected from Guangdong and other provinces in China was conducted via ultra‑high performance liquid chromatography‑quadrupole‑electrostatic field orbitrap high‑resolution mass spectrometry. Results: Differential metabolite profiles in these PMR samples were evaluated through multivariate statistical analyses. In total, this approach led to the identification of 778 differential metabolites [value of group contribution (VIP) >1, P < 0.01, and fold‑change (FC) >2 or <0.5)] that were primarily associated with glycosaminoglycan degradation, lipoic acid metabolism, flavonoid biosynthesis, tyrosine metabolism, flavone and flavonol biosynthesis, phenylpropanoid biosynthesis, and phenylalanine metabolism. Of these metabolites, catechins accounted for seven significantly altered metabolites (VIP ≥2, P < 0.01, and FC >2 or <0.5) when comparing PMR samples from Guangdong with those from other regions. This suggests that PMR samples contain metabolite profiles characteristic of their provenance. Conclusion: As such, metabolomic profiling may be effective means of differentiating between PMR samples from different geographic regions within China, thus providing a sound theoretical basis for the reliable differentiation among and selection of pharmacologically optimal PMR samples.
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Rui, Y., Ou, X., Li, J., Luo, K., Deng, W., Gao, X., He, M., Zhang, H., & Yan, H. (2022). Metabolomics Analysis of Region‑Specific Polygoni Multiflori Radix Metabolite Profiles. Pharmacognosy Magazine, 18(80), 1118–1128. https://doi.org/10.4103/pm.pm_35_22