Metabolite profiling of 96% ethanol extract from Marsilea crenata presl. leaves using UPLC-QToF-MS/MS and anti-neuroinflammatory predicition activity with molecular docking
| Main Authors: | Ma'arif, Burhan, Mirza, Denis Mery, Suryadinata, Arief, Agil, Mangestuti |
|---|---|
| Format: | Journal PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://repository.uin-malang.ac.id/4826/1/2019_JTPC_Profiling-In_Silico_Semanggi.pdf http://repository.uin-malang.ac.id/4826/ https://jtpc.farmasi.unmul.ac.id/index.php/jtpc/article/view/213 |
Daftar Isi:
- Phytoestrogen is a group of compounds that can replace the estrogen function in the body. One of its roles was as anti-neuroinflammatory by inhibiting the microglia M1 polarity activation. Marsilea crenata Presl. is a plant that suspected to contain phytoestrogens. The aim of this research was to determine the metabolite profile of 96% ethanol extract of M. crenata using UPLC-QToF-MS/MS, and prediction the anti-neuroinflammatory activity of compounds with molecular docking. The 100 ppm of 96% ethanol extract in DCM and methanol were injected 5 μl each into the UPLC-QToF-MS/MS, and then analyzed by Masslynx 4.1 software to determine the compounds. The result of metabolite profiling shows a total 59 compounds in both DCM and methanol. Molecular docking was done with Autodock 4.2.6. After being analyzed, there are 3 compounds that are predicted to have activities similar to 17β-estradiol, they are prochlorperazine, 12-Aminododecanoic acid, and 1-methyl-2-[(4-methylpiperazin-1-yl)methyl]benzimidaol-5-amine hydrochloride. The results showed that the three compounds were predicted to be phytoestrogen compounds from M. crenata leaves, which have potential as anti-neuroinflammatory.