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Investigating the mechanism of Fuling-Banxia-Dafupi in the treatment of diabetic kidney disease using network pharmacology and molecular docking.
Wang, Qi; Pang, Yiran; Yang, Han; Zhang, Xin; Nie, Weichen; Zhou, Jiahui; Chen, Rui.
Afiliación
  • Wang Q; College of Basic Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Pang Y; College of Basic Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Yang H; The Affiliated Hospital, Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Zhang X; The Affiliated Hospital, Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Nie W; The Affiliated Hospital, Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Zhou J; College of Basic Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Chen R; College of Basic Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China.
Nat Prod Res ; : 1-6, 2024 Jul 13.
Article en En | MEDLINE | ID: mdl-39001776
ABSTRACT
Go deeply into the molecular mechanism of Fuling-Banxia-Dafupi in the treatment of diabetic kidney disease (DKD) by network pharmacology and molecular docking. Fuling-Banxia-Dafupi is a pair of traditional Chinese medicine for diabetic kidney disease, which can slow down the development of diabetic kidney disease. Screening active components and targets of Fuling-Banxia-Dafupi using the TCMSP database. The Uniprot database was also used to identify effective drug targets. DKD-related Targets were retrieved from the Gene Cards database, and the overlap between these targets and Fuling-Banxia-Dafupi was obtained. GO and KEGG pathway concentration analyses were showed using Metascape, and the results were presented by the microcredit platform. A total of 616 active ingredients and targets were confrimed and intersected with 3,951 diabetic neuropathy-related targets, resulting in 306 common targets. Baicalein and cerevisterol are the core components of Fuling-Banxia-Dafupi, and the key targets are TP53, SRC, and STAT 3. PI3K-Akt signalling pathway is an important pathway. The molecular docking indicated that its main active components and target proteins have good binding activity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Prod Res Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Prod Res Año: 2024 Tipo del documento: Article País de afiliación: China