Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.
Molecules. 2020 Aug 25;25(17):3853. doi: 10.3390/molecules25173853.
Complications due to influenza are often associated with inflammation with excessive release of cytokines. The bulbs of (FT) have been traditionally used to control airway inflammatory diseases, such as bronchitis and pneumonia. To elucidate active compounds, the targets, and underlying mechanisms of FT for the treatment of influenza-induced inflammation, systems biology was employed. Active compounds of FT were identified through the TCMSP database according to oral bioavailability (OB) and drug-likeness (DL) criteria. Other pharmacokinetic parameters, Caco-2 permeability (Caco-2), and drug half-life (HL) were also identified. Biological targets of FT were retrieved from DrugBank and STITCH databases, and target genes associated with influenza, lung, and spleen inflammation were collected from DisGeNET and NCBI databases. Compound-disease-target (C-D-T) networks were constructed and merged using Cytoscape. Target genes retrieved from the C-D-T network were further analyzed with GO enrichment and KEGG pathway analysis. In our network, GO and KEGG results yielded two compounds (beta-sitosterol (BS) and pelargonidin (PG)), targets (PTGS1 (COX-1) and PTGS2 (COX-2)), and pathways (nitric oxide, TNF) were involved in the inhibitory effects of FT on influenza-associated inflammation. We retrieved the binding affinity of each ligand-target, and found that PG and COX-1 showed the strongest binding affinity among four binding results using a molecular docking method. We identified the potential compounds and targets of FT against influenza and suggest that FT is an immunomodulatory therapy for influenza-associated inflammation.
流感引起的并发症通常与炎症有关,炎症会导致细胞因子过度释放。 (FT)的鳞茎一直被传统用于控制气道炎症性疾病,如支气管炎和肺炎。为了阐明 FT 治疗流感引起的炎症的活性化合物、靶点和潜在机制,采用了系统生物学方法。根据口服生物利用度(OB)和药物相似性(DL)标准,通过 TCMSP 数据库鉴定了 FT 的活性化合物。还鉴定了其他药代动力学参数,Caco-2 渗透率(Caco-2)和药物半衰期(HL)。从 DrugBank 和 STITCH 数据库中检索了 FT 的生物靶点,并从 DisGeNET 和 NCBI 数据库中收集了与流感、肺和脾炎症相关的靶基因。使用 Cytoscape 构建和合并了化合物-疾病-靶点(C-D-T)网络。从 C-D-T 网络中检索到的靶基因进一步进行了 GO 富集和 KEGG 通路分析。在我们的网络中,GO 和 KEGG 结果涉及两种化合物(β-谷甾醇(BS)和锦葵素(PG))、靶点(PTGS1(COX-1)和 PTGS2(COX-2))和途径(一氧化氮、TNF),这些都参与了 FT 对流感相关炎症的抑制作用。我们检索了每个配体-靶的结合亲和力,并发现 PG 和 COX-1 在使用分子对接方法的四个结合结果中显示出最强的结合亲和力。我们确定了 FT 针对流感的潜在化合物和靶点,并提出 FT 是一种针对流感相关炎症的免疫调节治疗方法。