A Network Pharmacology of Camellia sinensis (Green Tea)
Abstract
Network pharmacology focuses on the therapeutic concept of one-target-one-drug to network-target-components to combat complex diseases. This research uses bioinformatics and high-throughput screening methods to facilitate the prediction of various drug target networks based on the establishment of biological models and becomes more important in uncovering the underlying mechanisms of drug action. Tea (Camelia sinensis) is one of the most ancient and popular therapeutic drinks consumed throughout the world and prepared as a drink that can have many health effects. This research aims to determine the pharmacological network analysis of C. sinensis. The list of C. sinensis secondary metabolite compounds was obtained from the Dr. database Duke. Protein predictions associated with C. sinensis were obtained from SwissTargetPrediction. Pharmacological network analysis was performed with StringDB and KEGG enrichment. From the search results, 57 compounds were obtained. From network pharmacology analysis, 15 biomolecular pathways were obtained that were closely related to secondary metabolite compounds in C. sinensis. From the results of further analysis, it was found that C. sinensis has a role in the treatment of hypertension, cancer, and anti-inflammation.
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Daina, A., Michielin, O., & Zoete, V. (2019). SwissTargetPrediction : updated data and new features for efficient prediction of protein targets of small molecules. Nucleic Acids Research, 47, 357–364. https://doi.org/10.1093/nar/gkz382
Davalli, P., Rizzi, F., Caporali, A., Pellacani, D., Davoli, S., Bettuzzi, S., Brausi, M., & D’Arca, D. (2012). Anticancer Activity of Green Tea Polyphenols in Prostate Gland. Oxidative Medicine and Cellular Longevity, 2012(984219), 1–18. https://doi.org/10.1155/2012/984219
Grabowski, P., & Rappsilber, J. (2019). A Primer on Data Analytics in Functional Genomics : How to Move from Data to Insight ? Trends in Biochemical Sciences, 44(1), 21–32. https://doi.org/10.1016/j.tibs.2018.10.010
Hayat, K., Iqbal, H., Malik, U., Bilal, U., & Mushtaq, S. (2015). Tea and Its Consumption: Benefits and Risks. Critical Reviews in Food Science and Nutrition, 55(7), 939–954. https://doi.org/10.1080/10408398.2012.678949
Hodges, J. K., Sasaki, G. Y., & Bruno, R. S. (2020). Anti-inflammatory activities of green tea catechins along the gut – liver axis in nonalcoholic fatty liver disease : lessons learned from preclinical and human. The Journal of Nutritional Biochemistry, 85(108478). https://doi.org/10.1016/j.jnutbio.2020.108478
Hodos, R. A., Kidd, B. A., Shameer, K., Readhead, B. P., & Dudley, J. T. (2016). In silico methods for drug repurposing and pharmacology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 8(3), 186–210. https://doi.org/10.1002/wsbm.1337
Hopkins, A. L. (2008). Network pharmacology: The next paradigm in drug discovery. Nature Chemical Biology, 4(11), 682–690. https://doi.org/10.1038/nchembio.118
Hosea, N. A., & Jones, H. M. (2013). Predicting Pharmacokinetic Profiles Using in Silico Derived Parameters. Molecular Pharmaceutics, 10(4), 1207–1215.
Jiang, Y., Jiang, Z., & Ma, L. (2021). Advances in Nanodelivery of Green Tea Catechins to Enhance the Anticancer Activity. Molecules, 26(3301), 1–29.
Kanehisa, M., Furumichi, M., Sato, Y., Kawashima, M., & Ishiguro-watanabe, M. (2023). KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Research, 51, 587–592.
Khan, N., & Mukhtar, H. (2013). Tea and Health: Studies in Humans. Current Pharmaceutical Design, 19(34), 6141–6147.
Kibble, M., Saarinen, N., Tang, J., Wennerberg, K., Mäkelä, S., & Aittokallio, T. (2015). Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products. Natural Product Reports, 32(8), 1249–1266. https://doi.org/10.1039/c5np00005j
Kusmiyati, M., Sudaryat, Y., Lutfiah, I. A., Rustamsyah, A., & Rohdiana, D. (2015). Aktivitas antioksidan , kadar fenol total , dan flavonoid total dalam teh hijau ( Camellia sinensis ( L .) O . Kuntze ) asal tiga perkebunan Jawa Barat. Jurnal Penelitian Teh Dan Kina, 18(2), 101–106.
Kusuma, S. M. W., Utomo, D. H., & Susanti, R. (2022). Molecular Mechanism of Inhibition of Cell Proliferation : An In Silico Study of the Active Compounds in Curcuma longa as an Anticancer. Journal of Tropical Biodiversity and Biotechnology, 07(03), 1–16. https://doi.org/10.22146/jtbb.74905
Lai, X., Pan, S., Zhang, W., Sun, L., Li, Q., Chen, R., & Sun, S. (2020). Properties of ACE inhibitory peptide prepared from protein in green tea residue and evaluation of its anti-hypertensive activity. Process Biochemistry, 92, 277–287. https://doi.org/10.1016/j.procbio.2020.01.021
Lena, N., Jamil, A. S., Muchlisin, M. A., & Almuhtarihan, I. F. (2023). Analisis Jejaring Farmakologi Tanaman Jati Belanda (Guazuma ulmifolia Lamk.) Sebagai Imunomodulator. Journal of Islamic Pharmacy, 8(1), 1–6. https://doi.org/10.18860/jip.v8i1.20782
Nguyen, L., Do, N., Nguyen, T., Trinh, K., Cao, H., & Le, L. (2020). Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery. Journal of Chemical Information and Modeling, 60, 1101–1110. https://doi.org/10.1021/acs.jcim.9b00826
Oh, K. K., & Cho, D. H. (2021). Network pharmacology approach to decipher signaling pathways associated with target proteins of NSAIDs against COVID ‑ 19. Scientific Reports, 11(9606), 1–15. https://doi.org/10.1038/s41598-021-88313-5
Szklarczyk, D., Gable, A. L., Nastou, K. C., Lyon, D., Kirsch, R., Pyysalo, S., Doncheva, N. T., Legeay, M., Fang, T., Bork, P., Jensen, L. J., & Mering, C. Von. (2021). The STRING database in 2021 : customizable protein – protein networks , and functional characterization of user-uploaded gene / measurement sets. Nucleic Acids Research, 49, 605–612.
Tabaga, K. D., Durry, M. F., & Kairupan, C. (2015). Efek Seduhan Teh Hijau (Camelia sinensis) Terhadap Gambaran Hispatologi Payudara Mencit Yang Diinduksi Benzo(α)pyrene. Jurnal E-Biomedik, 3(2), 544–548
Truong, V.-L., & Jeong, W. (2022). Antioxidant and anti-inflammatory roles of tea polyphenols in inflammatory bowel diseases. Food Science and Human Wellness, 11, 502–511. https://doi.org/10.1016/j.fshw.2021.12.008
Valerio, L. G., & Choudhuri, S. (2012). Chemoinformatics and chemical genomics : potential utility of in silico methods. Journal of Applied Toxicology, 32(11), 880–889. https://doi.org/10.1002/jat.2804
Verma, T., Sinha, M., Bansal, N., Yadav, S. R., Shah, K., & Chauhan, N. S. (2021). Plants Used as Antihypertensive. Natural Products and Bioprospecting, 11(2), 155–184. https://doi.org/10.1007/s13659-020-00281-x
Wang, S., Zeng, T., Zhao, S., Zhu, Y., & Feng, C. (2022). Multifunctional health-promoting effects of oolong tea and its products. Food Science and Human Wellness, 11(3), 512–523. https://doi.org/10.1016/j.fshw.2021.12.009
Wu, X. M., & Wu, C. F. (2015). Network pharmacology: A new approach to unveiling Traditional Chinese Medicine. Chinese Journal of Natural Medicines, 13(1), 1–2. https://doi.org/10.1016/S1875-5364(15)60001-2
Published
2023-11-13
How to Cite
WAHYUNI, Sri; JAMIL, Ahmad Shobrun; MUCHLISIN, M Artabah.
A Network Pharmacology of Camellia sinensis (Green Tea).
Proceedings of International Pharmacy Ulul Albab Conference and Seminar (PLANAR), [S.l.], v. 3, p. 216-224, nov. 2023.
ISSN 2827-7848.
Available at: <http://conferences.uin-malang.ac.id/index.php/planar/article/view/2487>. Date accessed: 04 may 2024.
doi: https://doi.org/10.18860/planar.v3i0.2487.
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