NETWORK PHARMACOLOGY COMBINED WITH CHROMATOGRAM SIMILARITY ANALYSIS FOR BIOMARKERS EXPLORATION OF DULIANG HERBAL FORMULATION
Main Article Content
Abstract
Objectives: To explore potential biomarkers of the Duliang herbal formula (DHF). Methods: The DHF consisting of a radix of A.dahurica and a rhizome of L. chuanxiong was investigated the pharmacological mechanism for migraine treatment via a network pharmacology approach using published databases and software. Besides, an experimentally chromatographic analysis of DHF was performed to identify potential active components. A combination of two approach results could contribute to propose biomarkers for quality control of DHF. Results: To extend our previous in silico study on anti-migraine compounds in DHF via network pharmacology approach, chromatogram similarity analysis of DHF with different origin herbs had carried out and showed that these active compounds, namely ferulic acid, senkyunolide A, senkyunolide I, ligustilide, byakangelicol, oxypeucedanin, imperatorin, isoimperatorin, and oxypeucedanin hydrate, could be considered as quality markers of formula. Conclusion: Potential biomarkers of DHF for anti-migraine can be explored via an integrated approach using network pharmacology and chromatographic analysis.
Article Details
Keywords
Network pharmacology, Chromatography, Biomarker, Duliang, Migraine
References
2. M Arnold. Headache classification committee of the international headache society (IHS) the international classification of headache disorders. Cephalalgia. 2018; 38:1-211.
3. U. Reuter. GBD 2016: Still no improvement in the burden of migraine. The Lancet Neurology. 2018; 17:929-930.
4. S Yu, Y Hu, Q Wan, J Zhou, X Liu, X Qiao, X Yang, J Feng, K Chen, X Pan. A multicenter, double-blind, randomized, placebo-controlled trial to evaluate the efficacy and safety of duliang soft capsule in patients with chronic daily headache. Evidence-Based Complementary Alternative Medicine. 2015.
5. AL Hopkins. Network pharmacology. Nature biotechnology. 2007; 25:1110-1111.
6. G Zhang, Q Li, Q Chen, S Su. Network Pharmacology: A New Approach for Chinese Herbal Medicine Research. Evidence-Based Complementary and Alternative Medicine. 2013:621423.
7. A Balekundri, V Mannur. Quality control of the traditional herbs and herbal products: A review. Future Journal of Pharmaceutical Sciences. 2020; 6:1-9.
8. CD Thanh, CV Men, HM Kim, JS Kang. Network Pharmacology-Based Investigation on Therapeutic Mechanisms of the Angelica dahurica Radix and Ligusticum chuanxiong Rhizoma Herb Pair for Anti-Migraine Effect. Plants. 2022; 11:2196.
9. FY Gao, HY Chen, YS Luo, JK Chen, L Yan, JB Zhu, GR Fan, TT Zhou. “Q-markers targeted screening” strategy for comprehensive qualitative and quantitative analysis in fingerprints of Angelica dahurica with chemometric methods. Food Chemistry. 12 (2021) 100162.
10. H Yan, Y Zhou, F Tang, C Wang, J Wu, C Hu, X Xie, C Peng, Y Tan. A comprehensive investigation on the chemical diversity and efficacy of different parts of Ligusticum chuanxiong. Food Function. 2022; 13:1092-1107.