Department of Bio-Health Convergence, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Korea.
Curr Issues Mol Biol. 2021 Nov 6;43(3):1906-1936. doi: 10.3390/cimb43030133.
Corn silk () has been utilized as an important herb against obesity by Chinese, Korean, and Native Americans, but its phytochemicals and mechanisms(s) against obesity have not been deciphered completely. This study aimed to identify promising bioactive constituents and mechanism of action(s) of corn silk (CS) against obesity via network pharmacology. The compounds from CS were identified using Gas Chromatography Mass Spectrometry (GC-MS) and were confirmed ultimately by Lipinski's rule via SwissADME. The relationships of the compound-targets or obesity-related targets were confirmed by public bioinformatics. The signaling pathways related to obesity, protein-protein interaction (PPI), and signaling pathways-targets-bioactives (STB) were constructed, visualized, and analyzed by RPackage. Lastly, Molecular Docking Test (MDT) was performed to validate affinity between ligand(s) and protein(s) on key signaling pathway(s). We identified a total of 36 compounds from CS via GC-MS, all accepted by Lipinski's rule. The number of 36 compounds linked to 154 targets, 85 among 154 targets related directly to obesity-targets (3028 targets). Of the final 85 targets, we showed that the PPI network (79 edges, 357 edges), 12 signaling pathways on a bubble chart, and STB network (67 edges, 239 edges) are considered as therapeutic components. The MDT confirmed that two key activators (β-Amyrone, β-Stigmasterol) bound most stably to PPARA, PPARD, PPARG, FABP3, FABP4, and NR1H3 on the PPAR signaling pathway, also, three key inhibitors (Neotocopherol, Xanthosine, and β-Amyrone) bound most tightly to AKT1, IL6, FGF2, and PHLPP1 on the PI3K-Akt signaling pathway. Overall, we provided promising key signaling pathways, targets, and bioactives of CS against obesity, suggesting crucial pharmacological evidence for further clinical testing.
玉米须 () 被中国人、韩国人和美洲原住民用作治疗肥胖的重要草药,但它对肥胖的植物化学物质和作用机制尚未完全破译。本研究旨在通过网络药理学鉴定玉米须 (CS) 抗肥胖的有前途的生物活性成分和作用机制。使用气相色谱-质谱联用仪 (GC-MS) 鉴定 CS 中的化合物,并通过 SwissADME 最终通过 Lipinski 规则确认。通过公共生物信息学确认化合物-靶标或肥胖相关靶标之间的关系。通过 RPackage 构建、可视化和分析与肥胖相关的信号通路、蛋白质-蛋白质相互作用 (PPI) 和信号通路-靶标-生物活性 (STB)。最后,进行分子对接试验 (MDT) 以验证配体 (s) 与关键信号通路 (s) 上蛋白质 (s) 之间的亲和力。通过 GC-MS 共鉴定 CS 中的 36 种化合物,所有化合物均符合 Lipinski 规则。这 36 种化合物与 154 种靶标相关,其中 85 种靶标与肥胖靶标直接相关(3028 种靶标)。在最终的 85 个靶标中,我们显示 PPI 网络(79 个边缘,357 个边缘)、气泡图上的 12 个信号通路和 STB 网络(67 个边缘,239 个边缘)被认为是治疗成分。MDT 证实,两个关键激活剂(β-桉叶醇、β-谷甾醇)与 PPAR 信号通路中的 PPARA、PPARD、PPARG、FABP3、FABP4 和 NR1H3 结合最稳定,三个关键抑制剂(新生育酚、黄嘌呤核苷和β-桉叶醇)与 PI3K-Akt 信号通路中的 AKT1、IL6、FGF2 和 PHLPP1 结合最紧密。总的来说,我们提供了 CS 抗肥胖的有前途的关键信号通路、靶标和生物活性成分,为进一步的临床测试提供了重要的药理学证据。