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黄芪甲苷治疗PM2.5致肺损伤的转录网络整合研究及实验验证

Integrated Transcriptional Networks and Experiment of Astragaloside IV on PM2.5-Induced Lung Injury
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摘要 目的挖掘黄芪甲苷介导铁死亡治疗PM2.5致肺损伤的调控网络,并进行实验验证。方法通过数据库、R语言和Perl软件筛选出黄芪甲苷介导铁死亡调控PM2.5致肺损伤的关键基因,构建lncRNA-miRNA-mRNA转录网络进行富集分析。体内实验分为药效和机制两部分验证,药效部分中,35只雄性无特定病原体(Specific pathogen free,SPF)级SD大鼠,随机分为5组。采用喉镜下气管滴注PM2.5诱导肺损伤模型。通过肺组织苏木精-伊红染色(Hematoxylin-eosin,HE)、湿/干重比、支气管肺泡灌洗液中肿瘤坏死因子α(Tumour necrosis factor-α,TNF-α)和白介素1β(Interleukin,IL-1β)浓度评估肺损伤程度;通过透射电镜和蛋白免疫印迹法检测铁死亡水平。机制部分中,28只雄性SPF级SD大鼠,随机分为4组。RSL3在PM2.5造模前1 h腹腔注射,其余组的干预及检测指标同药效部分。结果挖掘出黄芪甲苷介导铁死亡治疗PM2.5致肺损伤的16个关键lncRNA、9个关键miRNA和6个关键mRNA组成的lncRNA-miRNA-mRNA转录网络。体内实验证实,与空白组相比,PM2.5组大鼠肺损伤评分明显增高(P<0.0001),伴肺水肿(P<0.01);BALF中TNF-α、IL-1β浓度升高(P<0.0001);透射电镜下可见到线粒体典型的铁死亡改变;肺组织Nrf2、GPX4和HO-1下调(P<0.0001),p-p38 MAPK和p-ERK上调(P<0.01)。与PM2.5组相比,黄芪甲苷高剂量组中上述趋势显著逆转,肺损伤评分降低(P<0.01),肺水肿减轻(P<0.05),TNF-α、IL-1β浓度降低(P<0.01),线粒体铁死亡改善,肺组织Nrf2、GPX4、HO-1升高(P<0.0001),p-p38 MAPK和p-ERK降低(P<0.05)。而铁死亡激动剂RSL3的干预明显消除了黄芪甲苷的治疗作用。结论黄芪甲苷对PM2.5致肺损伤具有保护作用,其机制可能是抑制MAPK信号通路活化,从而减轻铁死亡,这与构建的转录网络整合预测结果类似。 Objective We performed data mining on the regulatory network of Astragaloside IV on PM2.5-induced lung injury,and verified the results of the experiment in vivo.Methods Crucial targets of Astragaloside IV on PM2.5-induced lung injury by regulating ferroptosis were filtered out using the database,Perl language,and R software.Then,the lncRNA-miRNA-mRNA transcriptional networks were conducted and the GO and KEGG enrichment analyses were performed.This system is experimentally validated in two parts,pharmacodynamic validation and mechanism validation.In pharmacodynamic validation,35 SPF-class SD rats were randomly divided into 5 groups.Rats were exposed to PM2.5 via intratracheal instillation.Rats were sacrificed 24 h after the last PM2.5 injection.The degree of lung injury were assessed by hematoxylin-eosin(HE),lung wet/dry(W/D)weight ratio,and the TNF-αand IL-1βin the bronchoalveolar lavage.The ferroptosis was observed by transmission electron microscope and Western blot analysis.In mechanism validation,28 SPF-class SD rats were randomly divided into 4 groups.RSL3 were administered intraperitoneally 1h prior to PM2.5 adiministration.Intervention in other groups and detection of indicators were the same as mechanism validation.Results 16 lncRNAs,9 miRNAs,and 6 mRNAs were screened to build the lncRNA-miRNA-mRNA transcriptional network of Astragaloside IV on PM2.5-induced lung injury by regulating ferroptosis.The lung injury score of rats in the PM2.5 group was higher than that in the control group(P<0.0002),accompanied by pulmonary edema(P<0.01),increasing levels of TNF-αand IL-1β(P<0.0001),and classic changes of ferroptosis in mitochondrial ultrastructure by TEM.The levels of Nrf2,GPX4,and HO-1 in the PM2.5 group decreased(P<0.0001),while the levels of p-p38 MAPK and p-ERK increased(P<0.01)compared with the control group.The above indicators were reversed in high-dose Astragaloside IV compared with the PM2.5 group,accompanied by decreased lung injury score(P<0.01)and pulmonary edema(P<0.05),down-regulated TNF-αand IL-βin BALF(P<0.01),improved ferroptosis in mitochondrial ultrastructure,up-regulated levels of Nrf2,GPX4 and HO-1(P<0.0001),and decreased levels of p-p38 MAPK and p-ERK(P<0.05).However,the effects of Astragaloside IV were abolished by RSL3,a ferroptosis activator.Conclusion Astragaloside IV has a protective role against PM2.5-induced lung injury.The mechanism may be decreasing ferroptosis by inhibiting the activation of the MAPK signaling pathway,which is similar to our integrated transcriptional networks results.
作者 王依澜 沈哲睿 王振兴 Wang Yilan;Shen Zherui;Wang Zhenxing(Hospital of Chengdu University of Traditional Chinese Medicine,Chengdu 610072,China)
出处 《世界科学技术-中医药现代化》 CSCD 北大核心 2023年第3期1028-1040,共13页 Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金 国家自然科学基金委员会青年科学基金项目(82104824):感毒清经RIPK3-p62信号轴调控PM2.5诱导慢性气道炎症的分子机制:聚焦肺泡巨噬细胞自噬-焦亡的“串话”和转化,负责人:王振兴 中国博士后科学基金会面上资助项目(2020M683645XB),负责人:王振兴
关键词 PM2.5 肺损伤 MAPK 铁死亡 转录网络整合 PM2.5 Lung injury MAPK Ferroptosis Integrated transcriptional networks
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