Chinese Journal of Pharmacovigilance ›› 2025, Vol. 22 ›› Issue (11): 1271-1275.
DOI: 10.19803/j.1672-8629.20241039

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Relationships between Ginseng,Salvia Miltiorrhiza and Retinoic Acid and Key Differential Genes of Severe Influenza and Immune Infiltration Mechanisms Using Bioinformatics

LIU Lianlian1, WANG Chengxiang2, GUO Shanshan3, YU Huiyong4, NIE Weicheng2, CHHEN Tianyun2, LI Lei4*   

  1. 1Respiratory Department, Beijing Sixth Hopital , Beijing 100007;
    2Respiratory Department, the Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing 100029, China;
    3State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China;
    4Department of Infectious Diseases, the Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing 100029, China
  • Received:2024-12-25 Online:2025-11-15 Published:2025-11-14

Abstract: Objective To explore the key genes and immune infiltration mechanisms of severe influenza and predicts related drugs using bioinformatics. Methods Differential expression genes (DEGs) of severe influenza were screened from the GSE101702 dataset. Following GO and KEGG enrichment analyses, the key genes were identified using LASSO, SVM-RFE, and random forest algorithms. The correlations of these genes with immune infiltration and diagnostic value were evaluated. Finally, potential drugs were predicted via the Coremine Medical and DSigDB databases. Results A total of 82 DEGs were identified from the GSE101702 dataset, including 68 up-regulated and 14 down-regulated ones. Three key genes (IL18R1, CSF1R, and MPO) were selected, with IL18R1 and MPO up- regulated and CSF1R down-regulated. ROC curve analysis confirmed their diagnostic value. Immune cell infiltration analysis revealed significant suppression of multiple immune cells and functions (B cells, CD8+T cells, natural killer cells, and HLA) in the severe influenza group compared to the healthy control group. The key genes showed significant correlations with a range of immune infiltrates. Drug prediction suggested that ginseng, salvia miltiorrhiza and retinoic acid were closely related to the key genes, often corresponding to such effects traditional Chinese medicine as “nourishing healthy qi and removing blood stasis”. Conclusion This study has identified DEGs and key genes associated with severe influenza, elucidated the immune infiltration mechanisms, and predicted potential therapeutic drugs, thus providing insights into the underlying mechanisms, clinical prediction, and treatment of severe influenza.

Key words: Severe Influenza, Ginseng, Salvia Miltiorrhiza, Retinoic Acid, Immune Infiltration, Herbal Prediction, Bioinformatics, Machine Learning, Key Genes

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