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Prediction of functional molecular machanism of Astragalus membranaceus on obesity via network pharmacology analysis

네트워크 약리학을 통한 황기의 항비만 효능 및 작용기전 예측 연구

  • Mi Hye, Kim (Department of Biomedical Science, College of Korean Medicine, Woosuk University)
  • 김미혜 (우석대학교 한의과대학 의생명과학교실)
  • Received : 2022.12.09
  • Accepted : 2023.01.25
  • Published : 2023.01.30

Abstract

Objectives : Network pharmacology-based research is one of useful tool to predict the possible efficacy and molecular mechanisms of natural materials with multi compounds-multi targeting effects. In this study, we investigated the functional underlying mechanisms of Astragalus membranaceus Bunge (AM) on its anti-obesity effects using a network pharmacology analysis. Methods : The constituents of AM were collected from public databases and its target genes were gathered from PubChem database. The target genes of AM were compared with the gene set of obesity to find the correlation. Then, the network was constructed by Cytoscape 3.9.1. and functional enrichment analysis was conducted to predict the most relevant pathway of AM. Results : The result showed that AM network contained the 707 nodes and 6867 edges, and 525 intersecting genes were exhibited between AM and obesity gene set, indicating that high correlation with the effects of AM on obesity. Based on GO biological process and KEGG Pathway, 'Response to lipid', 'Cellular response to lipid', 'Lipid metabolic process', 'Regulation of chemokine production', 'Regulation of lipase activity', 'Chemokine signaling pathway', 'Regulation of lipolysis in adipocytes' and 'PPAR signaling pathway' were predicted as functional pathways of AM on obesity. Conclusions : AM showed high relevance with the lipid metabolism related with the chemokine production and lipolysis pathways. This study could be a basis that AM has promising effects on obesity via network pharmacology analysis.

Keywords

Acknowledgement

이 논문은 우석대학교 교내학술연구비 지원에 의하여 연구됨.

References

  1. Venkataramanan R, Komoroski B, Strom S. In vitro and in vivo assessment of herb drug interactions. Life Sci. 2006;78(18):2105-15. https://doi.org/10.1016/j.lfs.2005.12.021
  2. Duxin S, Wei G, Hongxiang H, Simon Z. Why 90% of clinical drug development fails and how to improve it? Acta Pharm Sin B. 2022;12(7):3049-62. https://doi.org/10.1016/j.apsb.2022.02.002
  3. Abd-Algaleel SA, Metwally AA, Abdel-Bar HM, Kassem DH, Hathout RM. Synchronizing In Silico, In Vitro, and In Vivo Studies for the Successful Nose to Brain Delivery of an Anticancer Molecule. Mol Pharm. 2021;18(10):3763-76. https://doi.org/10.1021/acs.molpharmaceut.1c00276
  4. Yuan HJ, Xue YT. To Explore the Key Active Compounds and Therapeutic Mechanism of Guizhi Gancao Decoction in Coronary Heart Disease by Network Pharmacology and Molecular Docking. Evid Based Complement Alternat Med. 2022;2022:2566407.
  5. Park M, Park SY, Lee HJ, Kim CE. A SystemsLevel Analysis of Mechanisms of Platycodon grandiflorum Based on A Network Pharmacological Approach. Molecules. 2018;23(11):2841.
  6. Noor F, Tahir Ul Qamar M, Ashfaq UA, Albutti A, Alwashmi ASS, Aljasir MA. Network Pharmacology Approach for Medicinal Plants: Review and Assessment. Pharmaceuticals (Basel). 2022 ; 15 : 572.
  7. Han SY, Kim YK. New Approach for Herbal Formula Research: Network Pharmacology. J Physiol & Pathol Korean Med. 2016;30(6):385-96. https://doi.org/10.15188/kjopp.2016.12.30.6.385
  8. Hopkins AL. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol. 2008;4:682-90. https://doi.org/10.1038/nchembio.118
  9. Moncrieff J. Research on a "drug-centred" approach to psychiatric drug treatment: Assessing the impact of mental and behavioural alterations produced by psychiatric drugs. Epidemiol Psychiatr Sci. 2018;27(2):133-40. https://doi.org/10.1017/S2045796017000555
  10. Kwon HJ, Kim MH, Yang WM. Effects of Topical application of Astragalus membranaceus in Spontaneous Alopecia Mice Model. J Korean Med. 2018;39(1):1-12. https://doi.org/10.13048/jkm.18001
  11. Kim SH, Jun YM, Lim JJ, Kim SH, Chung IM, KimEH. Variation of Astragalosides Contents in Cultivated Astragalus membranaceus, Korean J Medicinal Crop Sci. 2012;20(5):372-80. https://doi.org/10.7783/KJMCS.2012.20.5.372
  12. Chen W, Xia Y, Zhao X, Wang H, Chen W, Yu M, Li Y, Ye H, Zhang Y. The critical role of Astragalus polysaccharides for the improvement of PPARα [correction of PPRAα]-mediated lipotoxicity in diabetic cardiomyopathy. PLoS One. 2012;7(10):e45541.
  13. Jung SM, Kwon SE, Kang SY, Kim SJ, Jung HW, Park YK. Anti-Obesity and Anti-Diabetic Effects of a Polyherbal Extract Consisting of Coptidis Rhizoma, Salviae Miltiorrhizae Radix, and Cinnamomi Cortex in High Fat Diet-Induced Obesity Mice. J Korean Med Obes Res. 2021;21:59-68. https://doi.org/10.15429/jkomor.2021.21.2.59
  14. Nie T, Zhao S, Mao L, Yang Y, Sun W, Lin X, Liu S, Li K, Sun Y, Li P, Zhou Z, Lin S, Hui X, Xu A, Ma CW, Xu Y, Wang C, Dunbar PR, Wu D. The natural compound, formononetin, extracted from Astragalus membranaceus increases adipocyte thermogenesis by modulating PPARγ activity. Br J Pharmacol. 2018;175(9):1439-50. https://doi.org/10.1111/bph.14139
  15. Lee H, Kim MH, Jin SC, Choi Y, Nam YK, Yang WM. LIPOSA pharmacopuncture, a new herbal formula, affects localized adiposity by regulating lipid metabolism in vivo. Exp Ther Med. 2021;22(5):1290.
  16. Kim SK, Nam S, Jang H, Kim A, Lee JJ. TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine. BMC Complement Altern Med. 2015;15:218.
  17. Ruban A, Stoenchev K, Ashrafian H, Teare J. Current treatments for obesity. Clin Med (Lond). 2019;19(3):205-12. https://doi.org/10.7861/clinmedicine.19-3-205
  18. Timo D. Muller, Matthias Bluher, Matthias H. Tschop & Richard D. DiMarchi. Anti-obesity drug discovery: advances and challenges. Nat Rev Drug Discov. 2022;21(3):201-23. https://doi.org/10.1038/s41573-021-00337-8
  19. Chung HR. Prevalence of Abdominal Obesity and Associated Factors among Korean Adults:The 2001 Korean National Health and Nutrition Examination Survey. J Nutr Health. 2006;39(7):684-91.
  20. Kim SJ, Seo YH, Lee HS, Chang HK, Cho JH, Kim KW, Song MY. Research Trends of Herbal Medicines for Obesity: Mainly since 2015 to 2019. J Korean Med Rehabi. 2020;30(4):89-103. https://doi.org/10.18325/jkmr.2020.30.4.89
  21. Lee WY, Kim CE, Lee CY. A Novel Method to Investigating Korean Medicine Theory: Drugcentered Approach Employing Network Pharmacology. J Physiol & Pathol Korean Med. 2021;35(5):125-31. https://doi.org/10.15188/kjopp.2021.10.35.5.125
  22. Szklarczyk D, Santos A, Mering C, Jensen LJ, Bork P, Kuhn M. STITCH5: augmenting protein-chemical interaction networks with tissue and affinity data. Nucleic Acids Research. 2016;44(D1):D380-4. https://doi.org/10.1093/nar/gkv1277