Studies Combining Network Pharmacology with In Vivo ExperimentsUncover the Fever-reducing Effects and Underlying Molecular Pathwaysof Radix Isatidis
Twelve active components of Radix isatidis were screened, and 107 genes were identified at the intersection of Radix isatidis and fever. These genes were found to be involved in the PI3K-AKT signaling pathway, proteoglycans in cancer, and mechanisms related to blood lipids and atherosclerosis. The top nine targets screened by constructing a PPI network were IL6, AKT1, EGFR, STAT3, CASP3, ESR1, PTGS2, PPARG, and MAPK3, which indicated that Radix isatidis may play a protective role by affecting the PI3K/AKT-related signaling pathway. In in vivo experiments, Radix isatidis inhibited the activation of PI3K/AKT-related pathways, reduced inflammatory responses, and improved symptoms in mice treated with LPS. Conclusion The molecular mechanism of action of the antipyretic effect of Radix isatidis was predicted through network pharmacology, and it was also verified in vivo, as Radix isatidis reduced the inflammatory response, lowered the body temperature of mice, and protected LPStreated mice via effects on the PI3K-AKT-related signaling pathway.
Authors
- Yuan Zhao (ORCID: https://orcid.org/0000-0002-5937-1952)
- Xuanpan Ding (ORCID: https://orcid.org/0000-0002-2751-2810)
- Honggang Fan (ORCID: https://orcid.org/0000-0002-7671-6908)
- Chengzhe Gao (ORCID: https://orcid.org/0000-0002-5178-8622)
- Jiucheng Wang
- Shuai Zhang (ORCID: https://orcid.org/0000-0002-7876-5578)
- Guo‐Hua Zhang (ORCID: https://orcid.org/0000-0003-3359-1276)
- Shuang Wang (ORCID: https://orcid.org/0000-0001-6420-983X)
- Haotian Yang (ORCID: https://orcid.org/0000-0003-4367-1202)
- Yongping Chen (ORCID: https://orcid.org/0000-0003-3927-3797)
- Mengmeng Liu (ORCID: https://orcid.org/0000-0003-3256-3329)
- Guofeng Feng (ORCID: https://orcid.org/0009-0006-6107-2501)
- Q. An
Institutions
- Qingdao Agricultural University (CN)
- Northeast Agricultural University (CN)
- Heilongjiang Provincial Academy of Agricultural Sciences (CN)
- Qingdao Center of Resource Chemistry and New Materials (CN)
Publication Details
- Journal
- Combinatorial Chemistry & High Throughput Screening
- Published
- 2025-06-18
- DOI
- https://doi.org/10.2174/0113862073369935250531103249
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00