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Traditional Chinese Medicine Formula Kang Shuai Lao Pian Improves Obesity, Gut Dysbiosis, and Fecal Metabolic Disorders in High-Fat Diet-Fed Mice.
Gong, Shuqing; Ye, Tingting; Wang, Meixia; Wang, Mengying; Li, Yufei; Ma, Lina; Yang, Yulian; Wang, Yi; Zhao, Xiaoping; Liu, Li; Yang, Min; Chen, Huan; Qian, Jing.
Afiliação
  • Gong S; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
  • Ye T; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
  • Wang M; Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Zhejiang Institute of Microbiology, Hangzhou, China.
  • Wang M; NMPA Key Laboratory for Testing and Risk Warning of Pharmaceutical Microbiology, Zhejiang Institute of Microbiology, Hangzhou, China.
  • Li Y; Chronic Disease Research Institute, Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
  • Ma L; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
  • Yang Y; School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
  • Wang Y; School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhao X; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
  • Liu L; College of Preclinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Yang M; Technical Center, Chiatai Qingchunbao Pharmaceutical Co. Ltd, Hangzhou, China.
  • Chen H; Chronic Disease Research Institute, Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
  • Qian J; Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Zhejiang Institute of Microbiology, Hangzhou, China.
Front Pharmacol ; 11: 297, 2020.
Article em En | MEDLINE | ID: mdl-32269525
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China