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Network Pharmacology-based Strategy to Investigate Pharmacological Mechanisms of Qingbutongluo Pill for Treatment of Brucellosis.
Wang, Jing; He, Jia-Wei; Liu, Ji-Shan; Li, Jian-E; Cui, Qing-You; Wang, Yi-Rui; Zhou, Wei-Gang.
Afiliación
  • Wang J; Department of Pharmacy, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi 830013, Xinjiang, China.
  • He JW; Department of Pharmacy, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, Xinjiang, China.
  • Liu JS; Department of Pharmacy, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi 830013, Xinjiang, China.
  • Li JE; Department of Pharmacy, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi 830013, Xinjiang, China.
  • Cui QY; Department of Pharmacy, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi 830013, Xinjiang, China.
  • Wang YR; Department of Pharmacy, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi 830013, Xinjiang, China.
  • Zhou WG; Department of Pharmacy, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi 830013, Xinjiang, China.
Comb Chem High Throughput Screen ; 26(4): 706-718, 2023.
Article en En | MEDLINE | ID: mdl-35692141
ABSTRACT
BACKGROUND AND

OBJECTIVES:

Qingbutongluo pill (QBTLP), a Chinese herbal preparation, has been developed to treat brucellosis for many years with a good therapeutic effect. This study preliminarily explored its potential molecular mechanisms against brucellosis through network pharmacology.

METHODS:

The active ingredients of QBTLP were screened out mainly from the Traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and their potential targets were predicted through the PubChem database and Swiss Target Prediction platform. GeneCards, DisGeNET Digsee and the Comparative Toxicogenomics Database (CTD) searched the targets corresponding to brucellosis. Then, the Venn diagram obtained intersection targets of QBTLP and diseases. Protein-protein interaction (PPI) network analysis was performed using the Search Tool for the Retrieval of Interacting Genes database (STRING) and visualized in Cytoscape software. Module analysis of the PPI network and core target identification was performed using the Molecular Complex Detection (MCODE) and the Cytohubba plugins. The Metascape data platform was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the intersection targets, and then the "active ingredientstargets- pathways" network was constructed using Cytoscape to screen key active ingredients.

RESULTS:

19 key active ingredients were identified by network pharmacological, including Baicalein, Cryptopin, etc. The core targets of QBTLP for treating brucellosis contained TNF, TLR4, MAPK3, MAPK1, MAPK8, MAPK14, MMP9, etc. And the main pathways included the Toll-like receptor signaling pathway, NOD-like receptor signaling pathway, TNF signaling pathway, MAPK signaling pathway, Th17 cell differentiation, and IL-17 signaling pathway.

CONCLUSIONS:

This study explored the mechanisms of QBTLP for treating brucellosis, which may provide a scientific basis for the clinical application of QBTLP.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Brucelosis / Medicamentos Herbarios Chinos Límite: Humans Idioma: En Revista: Comb Chem High Throughput Screen Asunto de la revista: BIOLOGIA MOLECULAR / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Brucelosis / Medicamentos Herbarios Chinos Límite: Humans Idioma: En Revista: Comb Chem High Throughput Screen Asunto de la revista: BIOLOGIA MOLECULAR / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: China