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1.610031 成都,西南交通大学附属医院成都市第三人民医院实验医学部
2.418000 湖南 怀化,湖南医药学院侗医药研究湖南省重点实验室
3.400042 重庆,陆军特色医学中心战伤感染与特需药品研究室,创伤、烧伤与复合伤国家重点实验室
[梁华平, E-mail: 13638356728@163.com LIANG Huaping, E-mail: 13638356728@163.com
[郭元彪, E-mail: guo.ybiao@yahoo.com GUO Yuanbiao, E-mail: guo.ybiao@yahoo.com
收稿:2023-03-15,
修回:2023-05-29,
纸质出版:2023-07-30
移动端阅览
范超, 张在其, 罗莉, 等. 质谱法联合网络药理学分析侗药“马镫艾”的抗炎功效[J]. 陆军军医大学学报, 2023,45(14):1509-1519.
Chao FAN, Zaiqi ZHANG, Li LUO, et al. Anti-inflammation of Chinese Dong herb Madeng'ai by UPLC-Q-TOF/MS combined with network pharmacology[J]. Journal of Army Medical University, 2023, 45(14): 1509-1519.
范超, 张在其, 罗莉, 等. 质谱法联合网络药理学分析侗药“马镫艾”的抗炎功效[J]. 陆军军医大学学报, 2023,45(14):1509-1519. DOI: 10.16016/j.2097-0927.202303087.
Chao FAN, Zaiqi ZHANG, Li LUO, et al. Anti-inflammation of Chinese Dong herb Madeng'ai by UPLC-Q-TOF/MS combined with network pharmacology[J]. Journal of Army Medical University, 2023, 45(14): 1509-1519. DOI: 10.16016/j.2097-0927.202303087.
目的
2
阐明侗药“马镫艾”(Madeng’ai,MDA)根部水提物抑制炎症的潜在药效物质及机制。
方法
2
首先采用质谱技术对MDA水提物的化学成分进行鉴定,再利用Swiss Target Predict数据库和Omim、Disgenet及Genecards数据库分别筛选出疾病和药物靶点,取交集后获得药物-疾病共同靶点;通过软件Cytoscape 3.9.1构建“药物-成分-疾病-靶点”网络并筛选出核心组分;通过String数据库构建蛋白质-蛋白质相互作用网络(protein-protein interaction networks,PPI);使用David数据库进行基因本体论(gene ontology,GO)分析与京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析;最后,采用RT-qPCR和Western blot的方法在体外研究MDA水提物对几种典型炎症因子mRNA水平的影响及可能的信号通路。
结果
2
质谱法在MDA水提物中一共鉴定出了29种化合物,排名前五位的分别为:委陵菜酸、鞣花酸、原花青素C1、儿茶素和原花青素B1。通过数据库检索并去重后共获得104个药物-疾病共同靶点,其中TNF-
α
、IL-6、AKT1及ALB等可能是其核心作用靶点。GO功能富集分析一共获取到761个条目,其中与生物学过程相关的共600条,涉及到细胞组分的共52条,涉及到分子功能的共109条;KEGG通路富集分析共得到160条相关信号通路,其中包含NF-κB、MAPK、PI3K-AKT等信号通路。与正常对照组相比,模型组(LPS组)TNF-
α
、IL-6、IL-1β及CCL2的含量显著升高(
P
<
0.05),p38、ERK及JNK的磷酸化水平显著上调(
P
<
0.05);与模型(LPS)组相比,MDA处理组TNF-
α
、IL-6、IL-1β及CCL2的含量显著降低(
P
<
0.05),p38、ERK及JNK的磷酸化水平显著下调(
P
<
0.05)。
结论
2
本研究预测了侗药MDA水提物具备多种抗炎活性成分,并且可通过MAPK等多条信号通路发挥抗炎作用。
Objective
2
To explore the potential active components and anti-inflammation mechanism of a Chinese herb from Dong ethnic minority
Madeng'ai (MDA).
Methods
2
UPLC-Q-TOF-MS was taken to analyze and identify the major components of MDA. The potential active targets of MDA were retrieved in the Swiss Target Prediction database
and the disease-related targets were searched in the Omim
Disgene and Genecards databases. The common targets of active components and inflammation were obtained for the potential targets of MDA in the treatment against inflammation. The "drug-disease-target" network and protein-protein interaction (PPI) network were separately constructed by Cytoscape 3.9.1 and String database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of the overlapping targets were performed through David database. Finally
RT-qPCR and Western blotting were conducted to determine the mRNA levels of several inflammation-related factors and the possible signaling pathways in RAW264.7 cells after LPS treatment.
Results
2
There were 29 compounds identified by UPLC-Q-TOF/MS
and the top 5 were tormentic acid
ellagic acid
procyanidin C1
epicatechin and procyanidin B1. There were 104 core targets of MDA docking inflammation through database retrieval and after duplicate removal
and TNF-
α
IL-6
AKT1 and ALB might be the core targets. A total of 761 GO items were enriched
including 600 items concerning biological processes
52 items on cell components
and 109 items involving molecular functions. KEGG analysis screened out 160 signal pathways
mainly focusing on NF-κB
MAPK
PI3K-AKT and so forth signaling pathways. Compared with the normal control group
the mRNA levels of TNF-
α
IL-6
IL-1β and CCL2 were increased significantly in the model group (LPS treatment group)(
P
<
0.05)
and the phosphorylation levels of p38
ERK and JNK were obviously up-regulated (
P
<
0.05). While
MDA treatment notably declined the mRNA levels of TNF-
α
IL-6
IL-1β and CCL2 (
P
<
0.05)
and down-regulated the phosphorylation levels of p38
ERK and JNK when compared with the model group (
P
<
0.05).
Conclusion
2
Our study forecasts that the water extract of MDA
a Chinese traditional herb from Dong minority
has the potential active ingredients in treatment of inflammation
and shows anti-inflammatory effects through multiple pathways
such as MAPK pathway.
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