Integrated meta-analysis, network pharmacology, computational biology, and in vitro experimental verification to reveal the anti-fatigue mechanism of Lycium barbarum.
- 2025-04-10
- Journal of Asian natural products research 28(1)
- Teng-Teng Huang
- Xiao-Ling Chen
- Dai-Wen Chen
- Bing Yu
- Ping Zheng
- Hui Yan
- Jun He
- Zhi-Qing Huang
- PubMed: 40207989
- DOI: 10.1080/10286020.2025.2488316
Study Design
- Type
- Meta-Analysis
- Methods
- Meta-analysis confirmed LB's anti-fatigue capacity, while network pharmacology, molecular docking, and molecular dynamics simulations identified key targets. Furthermore, validation experiments in C2C12 cells demonstrated that LB mitigates H2O2-induced reactive oxygen species (ROS) accumulation and restores cell viability. qPCR analysis further revealed that LB downregulates the mRNA expression of CAT, IL-6 and TNF-α, while modulating the expression of these target genes.
- Animal Study
This study aims to elucidate Lycium barbarum (LB)'s anti-fatigue mechanisms. Meta-analysis confirmed LB's anti-fatigue capacity, while network pharmacology, molecular docking, and molecular dynamics simulations identified key targets (SRC, HSP90AA1, EGFR, PRKACA, MAPK1). Furthermore, validation experiments in C2C12 cells demonstrated that LB mitigates H2O2-induced reactive oxygen species (ROS) accumulation and restores cell viability. qPCR analysis further revealed that LB downregulates the mRNA expression of CAT, IL-6 and TNF-α, while modulating the expression of these target genes. In summary, our data confirm the anti-fatigue effects of LB and elucidate that LB exerts multi-component, multi-target, and multi-pathway mechanisms in combating fatigue.