In this review we outline the different mechanisms mediating hepatocarcinogenesis. We also discuss possible targets of bioactive herbal agents at different stages of hepatocarcinogenesis and highlight their role at ea...In this review we outline the different mechanisms mediating hepatocarcinogenesis. We also discuss possible targets of bioactive herbal agents at different stages of hepatocarcinogenesis and highlight their role at each individual stage. We gathered information on the most common herbal prescriptions and extracts thought to be useful in prevention or sensitization for chemotherapy in management of hepatocellular carcinoma (HCC). The value of this topic may seem questionable compared to the promise offered for HCC management by chemotherapy and radiation. However, we would recommend the use of herbal preparations not as alternatives to common chemo /and or radiotherapy, but rather for prevention among atrisk individuals, given that drug/herb interactions are still in need of extensive clarification. The bioactive constituents of various herbs seem to be promising targets for isolation, cancer activity screening and clinical evaluation. Finally, herbal preparations may offer a cost effective protective alternative to individuals known to have a high risk for HCC and possibly other cancers, through maintaining cell integrity, reversingoxidative stress and modulating different molecular pathways in preventing carcinogenesis.展开更多
目的:预测中药抗颈椎病主要活性成分及其作用靶点,探讨其成分-靶点的作用机制。方法:检索近10年内服治疗颈椎病的有效中药复方,应用Access 2003数据库录入复方,应用Apriori算法进行关联分析,运用软件Cytoscape建立中药配伍网络,选择网...目的:预测中药抗颈椎病主要活性成分及其作用靶点,探讨其成分-靶点的作用机制。方法:检索近10年内服治疗颈椎病的有效中药复方,应用Access 2003数据库录入复方,应用Apriori算法进行关联分析,运用软件Cytoscape建立中药配伍网络,选择网络相对中心度较高的前5味药作为核心中药,通过中药系统药理学数据库与分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)数据库查询中药的化学成分,运用Uniprot数据库查询靶蛋白对应的Gene Name,应用Cytoscape3.6进行成分-靶标-通路的网络分析和GO分析,通过KOBAS网络富集分析。结果:共纳入复方332首,当归、葛根、黄芪、川芎和甘草构成核心中药;共得到419个疾病靶标以及包括丝裂原活化蛋白激酶(Mitogen-activated Protein Kinase,MAPK)1、MAPK14、CCND1、EGFR、FOS、SRC等10个核心靶标在内的312个药物靶标。根据靶标对应的化学成分,从五味核心中药中筛选出包括槲皮素、大豆苷元、山柰酚、葛根素等146个成分。结论:五味核心中药很可能主要作用于MAPK14、FOS、CXCL8、CCL2、MAPK1、SRC等核心靶标及IL-17通路、MAPK通路,P13k-AKT信号通路、TNF信号通路等关键通路,通过调控细胞凋亡,延缓椎间盘老化,降低炎症介质的表达,减轻疼痛,通过减少缺血性伤害治疗眩晕以及促进钙离子释放,减缓肌肉痉挛来达到治疗颈椎病的目的。展开更多
目的:筛选治疗新型冠状病毒肺炎(Corona Virus Dsease 2019,COVID-19)处方中核心中药的活性分子及其潜在靶标,进一步分析其作用机制。方法:应用Microsoft Excel筛选2020年2月安徽省省级中医专家组及阜阳市中医医院派驻阜阳市第二人民医...目的:筛选治疗新型冠状病毒肺炎(Corona Virus Dsease 2019,COVID-19)处方中核心中药的活性分子及其潜在靶标,进一步分析其作用机制。方法:应用Microsoft Excel筛选2020年2月安徽省省级中医专家组及阜阳市中医医院派驻阜阳市第二人民医院参与治疗COVID-19的专家开具的处方中的核心中药;利用中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology da-tabase and analysis platform,TCMSP)过滤中药活性分子及相应靶标,从人类基因数据库(the human gene database,GeneCards)、人类孟德尔遗传数据库(online mendelian inheritance in man,OMIM)寻找COVID-19的相关基因,选取其与中药靶基因的交集,预测中药治疗COVID-19的潜在靶标;使用Cytoscape软件构建中药调控网络图;利用蛋白互作网络(functional protein association networks,STRING)数据库构建潜在靶标的PPI蛋白互作网络,进一步对其中关键靶标进行基因本体(gene ontology,GO)功能富集及京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析。结果:处方共使用中药136味,核心中药茯苓、甘草、陈皮、半夏为二陈汤组成药物;获得中药相关靶标223条,COVID-19相关基因364条,中药-“COVID-19”潜在靶标52条,其中核心靶标分别为胱天蛋白酶3(Caspase-3,CASP3)、白细胞介素6(interleukin-6,IL-6)、白细胞介素10(interleukin-10,IL-10)、重组人白细胞介素1β(recom-binant human IL1βprotein,IL-1β)、促分裂原活化蛋白激酶3(mitogen-activated protein kinase 3,MAPK3)、促分裂原活化蛋白激酶8(mitogen-activated protein kinase 8,MAPK8)、信号传导子和激活子3(signal transducers and activators of transcription 3,STAT3)、促分裂原活化蛋白激酶1(mitogen activated protein kinase 1,MAPK1)等,关键活性分子有黄芩苷、β-谷甾醇、柚皮素、川橙皮素、山奈酚、甘草查尔酮A、槲皮素等。结论:核心中药可能通过作用于白细胞介素17(interleukin-17,IL-17)、Toll样受体(Toll-like receptors,TLRs)、肿瘤坏死因子(tumor necrosis factor,TNF)、低氧诱导因子1等信号通路,参与调控细胞因子及炎症免疫介质、细胞凋亡、氧化应激等环节,从而发挥对COVID-19的防治作用。展开更多
文摘In this review we outline the different mechanisms mediating hepatocarcinogenesis. We also discuss possible targets of bioactive herbal agents at different stages of hepatocarcinogenesis and highlight their role at each individual stage. We gathered information on the most common herbal prescriptions and extracts thought to be useful in prevention or sensitization for chemotherapy in management of hepatocellular carcinoma (HCC). The value of this topic may seem questionable compared to the promise offered for HCC management by chemotherapy and radiation. However, we would recommend the use of herbal preparations not as alternatives to common chemo /and or radiotherapy, but rather for prevention among atrisk individuals, given that drug/herb interactions are still in need of extensive clarification. The bioactive constituents of various herbs seem to be promising targets for isolation, cancer activity screening and clinical evaluation. Finally, herbal preparations may offer a cost effective protective alternative to individuals known to have a high risk for HCC and possibly other cancers, through maintaining cell integrity, reversingoxidative stress and modulating different molecular pathways in preventing carcinogenesis.
基金supported by the National Natural Science Foundation of China(82305087,82274612)General Project of China Postdoctoral Science Foundation(2022M711080)Key Research and Development Program of Henan Province(231111312900).
文摘目的:预测中药抗颈椎病主要活性成分及其作用靶点,探讨其成分-靶点的作用机制。方法:检索近10年内服治疗颈椎病的有效中药复方,应用Access 2003数据库录入复方,应用Apriori算法进行关联分析,运用软件Cytoscape建立中药配伍网络,选择网络相对中心度较高的前5味药作为核心中药,通过中药系统药理学数据库与分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)数据库查询中药的化学成分,运用Uniprot数据库查询靶蛋白对应的Gene Name,应用Cytoscape3.6进行成分-靶标-通路的网络分析和GO分析,通过KOBAS网络富集分析。结果:共纳入复方332首,当归、葛根、黄芪、川芎和甘草构成核心中药;共得到419个疾病靶标以及包括丝裂原活化蛋白激酶(Mitogen-activated Protein Kinase,MAPK)1、MAPK14、CCND1、EGFR、FOS、SRC等10个核心靶标在内的312个药物靶标。根据靶标对应的化学成分,从五味核心中药中筛选出包括槲皮素、大豆苷元、山柰酚、葛根素等146个成分。结论:五味核心中药很可能主要作用于MAPK14、FOS、CXCL8、CCL2、MAPK1、SRC等核心靶标及IL-17通路、MAPK通路,P13k-AKT信号通路、TNF信号通路等关键通路,通过调控细胞凋亡,延缓椎间盘老化,降低炎症介质的表达,减轻疼痛,通过减少缺血性伤害治疗眩晕以及促进钙离子释放,减缓肌肉痉挛来达到治疗颈椎病的目的。
文摘目的:筛选治疗新型冠状病毒肺炎(Corona Virus Dsease 2019,COVID-19)处方中核心中药的活性分子及其潜在靶标,进一步分析其作用机制。方法:应用Microsoft Excel筛选2020年2月安徽省省级中医专家组及阜阳市中医医院派驻阜阳市第二人民医院参与治疗COVID-19的专家开具的处方中的核心中药;利用中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology da-tabase and analysis platform,TCMSP)过滤中药活性分子及相应靶标,从人类基因数据库(the human gene database,GeneCards)、人类孟德尔遗传数据库(online mendelian inheritance in man,OMIM)寻找COVID-19的相关基因,选取其与中药靶基因的交集,预测中药治疗COVID-19的潜在靶标;使用Cytoscape软件构建中药调控网络图;利用蛋白互作网络(functional protein association networks,STRING)数据库构建潜在靶标的PPI蛋白互作网络,进一步对其中关键靶标进行基因本体(gene ontology,GO)功能富集及京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析。结果:处方共使用中药136味,核心中药茯苓、甘草、陈皮、半夏为二陈汤组成药物;获得中药相关靶标223条,COVID-19相关基因364条,中药-“COVID-19”潜在靶标52条,其中核心靶标分别为胱天蛋白酶3(Caspase-3,CASP3)、白细胞介素6(interleukin-6,IL-6)、白细胞介素10(interleukin-10,IL-10)、重组人白细胞介素1β(recom-binant human IL1βprotein,IL-1β)、促分裂原活化蛋白激酶3(mitogen-activated protein kinase 3,MAPK3)、促分裂原活化蛋白激酶8(mitogen-activated protein kinase 8,MAPK8)、信号传导子和激活子3(signal transducers and activators of transcription 3,STAT3)、促分裂原活化蛋白激酶1(mitogen activated protein kinase 1,MAPK1)等,关键活性分子有黄芩苷、β-谷甾醇、柚皮素、川橙皮素、山奈酚、甘草查尔酮A、槲皮素等。结论:核心中药可能通过作用于白细胞介素17(interleukin-17,IL-17)、Toll样受体(Toll-like receptors,TLRs)、肿瘤坏死因子(tumor necrosis factor,TNF)、低氧诱导因子1等信号通路,参与调控细胞因子及炎症免疫介质、细胞凋亡、氧化应激等环节,从而发挥对COVID-19的防治作用。
