Objective To explore the potential molecular targets of Cang Fu Dao Tan Formula(CFDTF)in the treatment of obese polycystic ovary syndrome(PCOS)using network pharmacology and bioinformatic approaches.Methods The potent...Objective To explore the potential molecular targets of Cang Fu Dao Tan Formula(CFDTF)in the treatment of obese polycystic ovary syndrome(PCOS)using network pharmacology and bioinformatic approaches.Methods The potential blood-entry active compounds and targets of CFDTF were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and obese PCOS related gene targets were retrieved from GeneCard databases.A protein-protein interaction(PPI)network of CFDTF component-targets and obese PCOS diseasetargets was constructed using STRING.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis of the intersection network were conducted using a Bioconductor database.Results In total,114 active compounds were screened according to oral bioavailability(OB)and drug similarity(DL),and 328 targets related to these constituents were obtained.Further,2559 target genes directly related to obese PCOS were obtained from the GeneCard databases,and 82 genes were obtained from the intersection of the component-target and disease-target PPI network.These genes were mainly involved in response to steroid hormones,nutrient levels and lipopolysaccharide as well as in other biological processes.Their molecular functions were mainly related to nuclear receptor activity,phosphatase binding and cytokine activity,and they were enriched in the cytoplasm,cell membrane and membrane region.Conclusions CFDTF consists of 114 active compounds that are responsible for its pharmacodynamic effects.It mainly regulates the AGE-RAGE signaling pathway in diabetic complications,bladder cancer,and hepatitis B and in other signaling networks.These findings provide certain theoretical and scientific basis for the treatment of obese PCOS with Chinese medicine.展开更多
Based on the data collected at the Cau Da station, the Regional Ocean Modeling System (ROMS) is applied for hydrodynamics (e.g. circulation and temperature-salinity) in Binh Cang - Nha Trang Bay, Vietnam. The results ...Based on the data collected at the Cau Da station, the Regional Ocean Modeling System (ROMS) is applied for hydrodynamics (e.g. circulation and temperature-salinity) in Binh Cang - Nha Trang Bay, Vietnam. The results present the several cases of hydrodynamic regimes in the Bay during two mainly monsoon seasons (northeast and southwest monsoons). The clearly hydrodynamic regime occurs in the bay due to the impacts of rivers and monsoon conditions. These changes could be contributed to the hydrodynamic systems and water exchanges, that support basic scientific information for sustainable development of Binh Cang - Nha Trang bay.展开更多
In the present study, we explored the therapeutic potential of Cang Zhu-Huang Bai (CZ-HB) against rheumatoid arthritis (RA) and elucidated the associated mechanisms. The approach involved a systematic examination of t...In the present study, we explored the therapeutic potential of Cang Zhu-Huang Bai (CZ-HB) against rheumatoid arthritis (RA) and elucidated the associated mechanisms. The approach involved a systematic examination of the chemical ingredients of CZ-HB using TCMSP database. Subsequently, we predicted the targets corresponding to the active ingredients through the SwissTargetPrediction database. We constructed a comprehensive drug-ingredient-target network using Cytoscape (v 3.8.0), with the main ingredients of the drugs identified based on their degree values. We conducted a meticulous search across GEO, GeneCards, Therapeutic Target Database (TTD), and PharmGkb databases to identify target proteins associated with RA. The intersection of targets corresponding to the drugs' active ingredients and those associated with RA provided crucial insights. Functional analysis, including GO and KEGG pathway enrichment analyses, was performed on the intersecting targets using R (v 4.2.2). Additionally, a protein-protein interaction (PPI) network of the intersecting targets was constructed using the String platform. The resulting drug-ingredient-target-disease topology network was visualized using Cytoscape (v 3.8.0), and the Cytohubba plugin facilitated the identification of hub genes. The study revealed 35 active ingredients of CZ-HB and their corresponding 673 targets. We identified 14 major active ingredients crucial to the drug’s effects by focusing on the degree values. Furthermore, our investigation uncovered 784 targets associated with RA. Through the intersection of drug and disease targets, we pinpointed 34 active ingredients of CZ-HB capable of acting on 126 targets implicated in RA. The topological network analysis of the intersected genes identified five hub genes. The binding affinity of these hub genes to the 14 primary active ingredients of the drug was confirmed through molecular docking. The enrichment results of the intersecting genes suggested that CZ-HB exerted its anti-RA effects through a multi-component, multi-target, and multi-pathway approach.展开更多
基金We thank for the funding support from the the Scientific Research Projects of Shanghai Science and Technology Commission(No.19401930200).
文摘Objective To explore the potential molecular targets of Cang Fu Dao Tan Formula(CFDTF)in the treatment of obese polycystic ovary syndrome(PCOS)using network pharmacology and bioinformatic approaches.Methods The potential blood-entry active compounds and targets of CFDTF were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and obese PCOS related gene targets were retrieved from GeneCard databases.A protein-protein interaction(PPI)network of CFDTF component-targets and obese PCOS diseasetargets was constructed using STRING.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis of the intersection network were conducted using a Bioconductor database.Results In total,114 active compounds were screened according to oral bioavailability(OB)and drug similarity(DL),and 328 targets related to these constituents were obtained.Further,2559 target genes directly related to obese PCOS were obtained from the GeneCard databases,and 82 genes were obtained from the intersection of the component-target and disease-target PPI network.These genes were mainly involved in response to steroid hormones,nutrient levels and lipopolysaccharide as well as in other biological processes.Their molecular functions were mainly related to nuclear receptor activity,phosphatase binding and cytokine activity,and they were enriched in the cytoplasm,cell membrane and membrane region.Conclusions CFDTF consists of 114 active compounds that are responsible for its pharmacodynamic effects.It mainly regulates the AGE-RAGE signaling pathway in diabetic complications,bladder cancer,and hepatitis B and in other signaling networks.These findings provide certain theoretical and scientific basis for the treatment of obese PCOS with Chinese medicine.
文摘Based on the data collected at the Cau Da station, the Regional Ocean Modeling System (ROMS) is applied for hydrodynamics (e.g. circulation and temperature-salinity) in Binh Cang - Nha Trang Bay, Vietnam. The results present the several cases of hydrodynamic regimes in the Bay during two mainly monsoon seasons (northeast and southwest monsoons). The clearly hydrodynamic regime occurs in the bay due to the impacts of rivers and monsoon conditions. These changes could be contributed to the hydrodynamic systems and water exchanges, that support basic scientific information for sustainable development of Binh Cang - Nha Trang bay.
基金National Natural Science Foundations of China (Grant No. 81960863)the Education Department of Yunnan Province (Grant No. 2023Y0463)。
文摘In the present study, we explored the therapeutic potential of Cang Zhu-Huang Bai (CZ-HB) against rheumatoid arthritis (RA) and elucidated the associated mechanisms. The approach involved a systematic examination of the chemical ingredients of CZ-HB using TCMSP database. Subsequently, we predicted the targets corresponding to the active ingredients through the SwissTargetPrediction database. We constructed a comprehensive drug-ingredient-target network using Cytoscape (v 3.8.0), with the main ingredients of the drugs identified based on their degree values. We conducted a meticulous search across GEO, GeneCards, Therapeutic Target Database (TTD), and PharmGkb databases to identify target proteins associated with RA. The intersection of targets corresponding to the drugs' active ingredients and those associated with RA provided crucial insights. Functional analysis, including GO and KEGG pathway enrichment analyses, was performed on the intersecting targets using R (v 4.2.2). Additionally, a protein-protein interaction (PPI) network of the intersecting targets was constructed using the String platform. The resulting drug-ingredient-target-disease topology network was visualized using Cytoscape (v 3.8.0), and the Cytohubba plugin facilitated the identification of hub genes. The study revealed 35 active ingredients of CZ-HB and their corresponding 673 targets. We identified 14 major active ingredients crucial to the drug’s effects by focusing on the degree values. Furthermore, our investigation uncovered 784 targets associated with RA. Through the intersection of drug and disease targets, we pinpointed 34 active ingredients of CZ-HB capable of acting on 126 targets implicated in RA. The topological network analysis of the intersected genes identified five hub genes. The binding affinity of these hub genes to the 14 primary active ingredients of the drug was confirmed through molecular docking. The enrichment results of the intersecting genes suggested that CZ-HB exerted its anti-RA effects through a multi-component, multi-target, and multi-pathway approach.
