This paper elaborated the chemical components,biological metabolism,and progress in the field of drug development of green tea polyphenols,mainly in the prevention and treatment of cancer,neurodegenerative diseases,an...This paper elaborated the chemical components,biological metabolism,and progress in the field of drug development of green tea polyphenols,mainly in the prevention and treatment of cancer,neurodegenerative diseases,and diabetes.The potential anti-tumor activity of tea polyphenols can be achieved through intervening in various stages of tumor generation,development,and metastasis.However,the development of tea polyphenols as a therapeutic drug still faces many challenges,such as low bioavailability.Nanoparticle-based drug delivery systems have particular advantages over the simple tea polyphenols.Since there are emerging safety issues and potential local drug overdose effects,it is necessary to determine the actual dosage and pharmacological mechanism of the drug after encapsulating the nanoparticles.展开更多
[Objectives]To elucidate potential targets and mechanisms of action of Epimedium brevicornu in treating ovarian cancer.[Methods]The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was ...[Objectives]To elucidate potential targets and mechanisms of action of Epimedium brevicornu in treating ovarian cancer.[Methods]The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was used to screen active components of E.brevicornu for disease control and prevention,and potential targets were collected from the DisGeNET database.These sets of bioactive and targets were analyzed using Ingenuity Pathway Analysis(IPA)to predict molecular networks affected by E.brevicornu in ovarian cancer.Venny 2.1.0 software was used to screen for proteins affected by interactions between disease and active components,which were input into the STRING 11.0 platform to construct a protein-protein interaction network.Then IPA and STRING were used to analyze common targets which were obtained from the two data analysis platform.[Results]A total of 23 major active components of E.brevicornu and 200 potential human targets were screened.IPA analysis identified 363 pathways and 24 networks shared between the set of predicted Yinyanghuo targets and ovarian cancer-associated proteins.These pathways are involved mainly in molecular mechanisms of cancer,glucocorticoid receptor signaling pathways,pancreatic adenocarcinoma signaling pathways,aryl hydrocarbon receptor signaling pathways,and macrophage function.The 24 networks have been implicated mainly in cancer,endocrine system disorders,body damage and abnormality,cell growth and proliferation,connective tissue development and function,tissue development,and other biological functions.IPA and STRING combined analysis suggested that AKT1,CASP3,JUN,FOS and CCND1 are the most likely targets of Yinyanghuo in treating ovarian cancer.[Conclusions]Our network pharmacology analysis identified several pathways that Yinyanghuo may influence to reduce ovarian cancer risk;in particular,it identified specific protein targets,including AKT1,CASP3,JUN,FOS and CCND1.展开更多
[Objectives]To investigate the potential mechanisms of action of triptolide,an active component in the traditional Chinese medicine Tripterygium wilfordii Hook F,in colorectal cancer(CRC).[Methods]Public databases wer...[Objectives]To investigate the potential mechanisms of action of triptolide,an active component in the traditional Chinese medicine Tripterygium wilfordii Hook F,in colorectal cancer(CRC).[Methods]Public databases were first searched for genes and proteins known to be associated with CRC,as well as those predicted to be targets of triptolide,and then Ingenuity Pathway Analysis(IPA)was applied to identify enriched gene pathways and networks.Networks and pathways that overlapped between CRC-associated proteins and triptolide target proteins were then used to predict candidate protein targets of triptolide in CRC.[Results]The following proteins were found to be expressed in both CRC-associated networks and triptolide target networks:JUN,FOS,CASP3,BCL2,IFNG,and VEGFA.Docking studies suggested that triptolide can fit in the binding pocket of the four top candidate triptolide target proteins(CASP3,BCL2,VEGFA and IFNG).The overlapping pathways were activation of neuroinflammation signaling,glucocorticoid receptor signaling,T helper(Th)cell differentiation,Th1/Th2 activation,and colorectal cancer metastasis signaling.[Conclusions]These results show that network pharmacology can be used to generate hypotheses about how triptolide exerts therapeutic effects in CRC.Network pharmacology may be a useful method for characterizing multi-target drugs in complex diseases.展开更多
[Objectives]To elucidate the mechanism of action of apigenin against lung cancer.[Methods]First,drug-target pathways and networks were constructed to predict potential protein targets of apigenin and their main intera...[Objectives]To elucidate the mechanism of action of apigenin against lung cancer.[Methods]First,drug-target pathways and networks were constructed to predict potential protein targets of apigenin and their main interactions with the drug.Then,the ingenuity pathway analysis(IPA)was carried out to identify enriched gene pathways and networks,and the candidate protein targets of apigenin were predicted using networks and pathways that overlapped between proteins associated with lung cancer and proteins targeted by apigenin.[Results]Docking studies with apigenin indicated that BCL-2,CASP9,CDK2,CYCLIND1,PI3K,NF-κB,Rb1,p53,and AKT are the top candidate targets of apigenin,suggesting that the drug acts against lung cancer by regulating proteins involved in molecular mechanisms of cancer,as well as small cell lung cancer,pancreatic adenocarcinoma,glucocorticoid receptor,and p53 signaling.It was also found that apigenin affects networks mainly involved in the cell cycle,cell-to-cell signaling and interactions,hematological system development and function,cell death and survival,and organismal injury and abnormalities.[Conclusions]This study shows that network pharmacology is useful in generating hypotheses about how apigenin exerts therapeutic effects in lung cancer,as well as in discovering new multitarget drugs against other complex diseases.展开更多
基金Project of National Natural Science Foundation(U1804179)Innovative Technology Team Project of Henan Province"Survey of Dabie Mountain Plant Resources and Research and Utilization of Active Components of Characteristic Plant"(2017083)Nanhu Scholars Program of Xinyang Normal University(2018001)。
文摘This paper elaborated the chemical components,biological metabolism,and progress in the field of drug development of green tea polyphenols,mainly in the prevention and treatment of cancer,neurodegenerative diseases,and diabetes.The potential anti-tumor activity of tea polyphenols can be achieved through intervening in various stages of tumor generation,development,and metastasis.However,the development of tea polyphenols as a therapeutic drug still faces many challenges,such as low bioavailability.Nanoparticle-based drug delivery systems have particular advantages over the simple tea polyphenols.Since there are emerging safety issues and potential local drug overdose effects,it is necessary to determine the actual dosage and pharmacological mechanism of the drug after encapsulating the nanoparticles.
基金National Natural Science Foundation of China(U1804179)Henan Science and Technology Innovation Team:Investigation on Plant。
文摘[Objectives]To elucidate potential targets and mechanisms of action of Epimedium brevicornu in treating ovarian cancer.[Methods]The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was used to screen active components of E.brevicornu for disease control and prevention,and potential targets were collected from the DisGeNET database.These sets of bioactive and targets were analyzed using Ingenuity Pathway Analysis(IPA)to predict molecular networks affected by E.brevicornu in ovarian cancer.Venny 2.1.0 software was used to screen for proteins affected by interactions between disease and active components,which were input into the STRING 11.0 platform to construct a protein-protein interaction network.Then IPA and STRING were used to analyze common targets which were obtained from the two data analysis platform.[Results]A total of 23 major active components of E.brevicornu and 200 potential human targets were screened.IPA analysis identified 363 pathways and 24 networks shared between the set of predicted Yinyanghuo targets and ovarian cancer-associated proteins.These pathways are involved mainly in molecular mechanisms of cancer,glucocorticoid receptor signaling pathways,pancreatic adenocarcinoma signaling pathways,aryl hydrocarbon receptor signaling pathways,and macrophage function.The 24 networks have been implicated mainly in cancer,endocrine system disorders,body damage and abnormality,cell growth and proliferation,connective tissue development and function,tissue development,and other biological functions.IPA and STRING combined analysis suggested that AKT1,CASP3,JUN,FOS and CCND1 are the most likely targets of Yinyanghuo in treating ovarian cancer.[Conclusions]Our network pharmacology analysis identified several pathways that Yinyanghuo may influence to reduce ovarian cancer risk;in particular,it identified specific protein targets,including AKT1,CASP3,JUN,FOS and CCND1.
基金National Natural Science Foundation of China(U1804179)Key Scientific and Technological Project in Henan Province(202102310190)+1 种基金Henan Science and Technology Innovation Team,Investigation on Plant Resources in Dabie Mountains and the Study and Utilization of Active Components of Special Plants(2017083)Nanhu Scholars Program for Young Scholars of Xinyang Normal University(2018001).
文摘[Objectives]To investigate the potential mechanisms of action of triptolide,an active component in the traditional Chinese medicine Tripterygium wilfordii Hook F,in colorectal cancer(CRC).[Methods]Public databases were first searched for genes and proteins known to be associated with CRC,as well as those predicted to be targets of triptolide,and then Ingenuity Pathway Analysis(IPA)was applied to identify enriched gene pathways and networks.Networks and pathways that overlapped between CRC-associated proteins and triptolide target proteins were then used to predict candidate protein targets of triptolide in CRC.[Results]The following proteins were found to be expressed in both CRC-associated networks and triptolide target networks:JUN,FOS,CASP3,BCL2,IFNG,and VEGFA.Docking studies suggested that triptolide can fit in the binding pocket of the four top candidate triptolide target proteins(CASP3,BCL2,VEGFA and IFNG).The overlapping pathways were activation of neuroinflammation signaling,glucocorticoid receptor signaling,T helper(Th)cell differentiation,Th1/Th2 activation,and colorectal cancer metastasis signaling.[Conclusions]These results show that network pharmacology can be used to generate hypotheses about how triptolide exerts therapeutic effects in CRC.Network pharmacology may be a useful method for characterizing multi-target drugs in complex diseases.
基金the National Natural Science Foundation of China(U1804179)the Henan Science and Technology Innovation Team for Investigation of Plant Resources in Dabie Mountains and the Study and Utilization of Active Components of Special Plants(2017083)the Nanhu Scholars Program for Young Scholars of Xinyang Normal University(2018001).
文摘[Objectives]To elucidate the mechanism of action of apigenin against lung cancer.[Methods]First,drug-target pathways and networks were constructed to predict potential protein targets of apigenin and their main interactions with the drug.Then,the ingenuity pathway analysis(IPA)was carried out to identify enriched gene pathways and networks,and the candidate protein targets of apigenin were predicted using networks and pathways that overlapped between proteins associated with lung cancer and proteins targeted by apigenin.[Results]Docking studies with apigenin indicated that BCL-2,CASP9,CDK2,CYCLIND1,PI3K,NF-κB,Rb1,p53,and AKT are the top candidate targets of apigenin,suggesting that the drug acts against lung cancer by regulating proteins involved in molecular mechanisms of cancer,as well as small cell lung cancer,pancreatic adenocarcinoma,glucocorticoid receptor,and p53 signaling.It was also found that apigenin affects networks mainly involved in the cell cycle,cell-to-cell signaling and interactions,hematological system development and function,cell death and survival,and organismal injury and abnormalities.[Conclusions]This study shows that network pharmacology is useful in generating hypotheses about how apigenin exerts therapeutic effects in lung cancer,as well as in discovering new multitarget drugs against other complex diseases.