Abstract | BACKGROUND: To clarify the mechanism of notoginsenoside R1 in the treatment of septic acute lung injury (ALI) based on network pharmacological analysis, and to verify it in the model of septic ALI in rats. METHODS: Based on database searching, the related targets of notoginsenoside R1 and ALI were identified, and the component-disease-target network was constructed. The core targets were screened by protein- protein interaction (PPI), and the functional enrichment of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) was analyzed. The rat model of septic ALI was further established to investigate the pharmacological effects of notoginsenoside R1. RESULTS:
Notoginsenoside R1 possibly affected ALI through 150 targets, of which 36 were core targets. GO semantic similarity analysis showed that notoginsenoside R1 might play a role in regulating interleukin 17 (IL-17) signal pathway, tumor necrosis factor (TNF) signal pathway and other key links by regulating MAPK1, MAPK3, IL-1β and other targets. The results of pharmacological experiments showed that notoginsenoside R1 could significantly reduce the wet:dry ratio of the lung in an animal model of ALI, improve the pathological injury of the lung, and reduce the content of IL-1β in serum and in bronchoalveolar lavage fluid (BALF) of experimental animals. CONCLUSIONS:
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Authors | Bo Cao, Zhaoxia Xu, Chang Liu, Jian Hu, Zhongli Zhu, Junya Li, Guoyun Zhu, Fuxiang Li |
Journal | Annals of translational medicine
(Ann Transl Med)
Vol. 9
Issue 12
Pg. 996
(Jun 2021)
ISSN: 2305-5839 [Print] China |
PMID | 34277796
(Publication Type: Journal Article)
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Copyright | 2021 Annals of Translational Medicine. All rights reserved. |