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Updated: Jun 3, 2025
Facilitating Drug Discovery: An Automated High-content Inflammation Assay in Zebrafish
Published on: July 16, 2012
A universal gene expression signature-based strategy for the high-throughput discovery of anti-inflammatory drugs
Juan Feng1,2, Honglei Dang3, Xiaoling Zhang4
1Medical Systems Biology Research Center, School of Medicine, Tsinghua University, Beijing, 100084, China.
Background:
Traditional Chinese medicine (TCM) is a valuable resource for drug discovery and has demonstrated excellent efficacy in treating inflammatory diseases. This study aimed to develop a universal gene signature-based strategy for high-throughput discovery of anti-inflammatory drugs, especially Traditional Chinese medicine (TCM).
Methods:
The disease gene signature of liposaccharide-stimulated THP-1 cells and drug gene signatures of 655 drug candidates were established via sequencing. Anti-inflammatory drugs were screened based on similarities between drug gene signatures and the reversed disease gene signature.
Results:
Through screening, 83 potential anti-inflammatory drugs were identified. The efficacy of the TCM formula Biyun Powder, along with individual TCMs, Centipedea Herba, Kaempferiae Rhizoma, and Schizonepetae Spica Carbonisata, was verified in vitro or in vivo. Mechanistically, they exerted anti-inflammatory effects by inhibiting the nuclear factor-kappa B pathway. Kaempferol and luteolin were identified as bioactive IκB kinase-β inhibitors in Kaempferiae Rhizoma and Schizonepetae Spica Carbonisata, respectively.
Conclusion:
We developed a universal gene signature-based approach for the high-throughput discovery of anti-inflammatory drugs that is applicable to compounds and to TCM herbs/formulae and established a workflow (screening, validation of efficacy, and identification of the mechanism of action and bioactive compounds) that can serve as a research template for high-throughput drug research.
