Your browser doesn't support javascript.
loading
Integrating systematic biological and proteomics strategies to explore the pharmacological mechanism of danshen yin modified on atherosclerosis.
Yang, Kailin; Zeng, Liuting; Ge, Anqi; Pan, Xiaoping; Bao, Tingting; Long, Zhiyong; Tong, Qiaozhen; Yuan, Mengxia; Zhu, Xiaofei; Ge, Jinwen; Huang, Zhengde.
Afiliação
  • Yang K; The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Zeng L; Hunan University of Chinese Medicine, Changsha, China.
  • Ge A; Capital Medical University, Beijing, China.
  • Pan X; Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Bao T; The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Long Z; Hunan University of Chinese Medicine, Changsha, China.
  • Tong Q; Hunan University of Chinese Medicine, Changsha, China.
  • Yuan M; Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Zhu X; Beijing University of Chinese Medicine, Beijing, China.
  • Ge J; Shantou University Medical College, Shantou, China.
  • Huang Z; Hunan University of Chinese Medicine, Changsha, China.
J Cell Mol Med ; 24(23): 13876-13898, 2020 12.
Article em En | MEDLINE | ID: mdl-33140562
This research utilized the systematic biological and proteomics strategies to explore the regulatory mechanism of Danshen Yin Modified (DSYM) on atherosclerosis (AS) biological network. The traditional Chinese medicine database and HPLC was used to find the active compounds of DSYM, Pharmmapper database was used to predict potential targets, and OMIM database and GeneCards database were used to collect AS targets. String database was utilized to obtain the other protein of proteomics proteins and the protein-protein interaction (PPI) data of DSYM targets, AS genes, proteomics proteins and other proteins. The Cytoscape 3.7.1 software was utilized to construct and analyse the network. The DAVID database is used to discover the biological processes and signalling pathways that these proteins aggregate. Finally, animal experiments and proteomics analysis were used to further verify the prediction results. The results showed that 140 active compounds, 405 DSYM targets and 590 AS genes were obtained, and 51 differentially expressed proteins were identified in the DSYM-treated ApoE-/- mouse AS model. A total of 4 major networks and a number of their derivative networks were constructed and analysed. The prediction results showed that DSYM can regulate AS-related biological processes and signalling pathways. Animal experiments have also shown that DSYM has a therapeutic effect on ApoE-/-mouse AS model (P < .05). Therefore, this study proposed a new method based on systems biology, proteomics, and experimental pharmacology, and analysed the pharmacological mechanism of DSYM. DSYM may achieve therapeutic effects by regulating AS-related signalling pathways and biological processes found in this research.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicamentos de Ervas Chinesas / Proteoma / Proteômica / Biologia de Sistemas / Aterosclerose Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicamentos de Ervas Chinesas / Proteoma / Proteômica / Biologia de Sistemas / Aterosclerose Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article