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2026-06-23 PubMed

Qingwen Baidu Decoction (QBD) computationally targets CXCL10, EZH2, and EPHB2 to modulate dengue fever inflammation and immunity.

Unveiling the molecular mechanism of Qingwen Baidu decoction against dengue fever: an integrated study of bioinformatic analysis, machine learning and network pharmacology.

Background

Dengue fever, caused by the dengue virus (DENV), is a significant global health concern with no FDA-approved treatments currently available. The disease can range from mild febrile illness to severe forms characterized by plasma leakage, hemorrhagic manifestations, and multi-organ dysfunction. While Qingwen Baidu Decoction (QBD) is used in China to manage the critical phase of dengue, its precise molecular mechanisms remain largely uncharacterized. Understanding QBD's targets could reveal novel therapeutic strategies for DENV-induced dysregulated immune responses and inflammation, addressing a critical gap in current therapeutic options.

Study Design

Researchers employed an integrated computational approach combining bioinformatics analysis, machine learning, and network pharmacology to elucidate the molecular mechanisms of Qingwen Baidu Decoction (QBD) against dengue fever. They identified common targets between differentially expressed genes from DENV-infected samples and predicted QBD targets. Machine learning algorithms, including LASSO, random forest, and SVM-RFE, were utilized to refine these potential targets. Single-cell transcriptome analysis was then used to investigate QBD's cellular targets, and ssGSEA (single-sample Gene Set Enrichment Analysis) was performed for immune infiltration analysis. Finally, molecular docking and molecular dynamics simulations were conducted to identify potential active chemical components within QBD.

Results

Computational analysis identified three core genes—CXCL10, EZH2, and EPHB2—as significantly overexpressed in dengue fever patients, highlighting their potential diagnostic and therapeutic value. Single-cell transcriptome analysis further revealed that QBD's predicted targets are primarily enriched in dendritic cells, monocytes, and macrophages, suggesting a specific immune cell tropism for its effects. Immune infiltration analysis using ssGSEA demonstrated that these three core genes were significantly associated with CD4+ and CD8+ T cell subtypes, indicating their involvement in host immune regulation during DENV infection. Molecular docking and molecular dynamics simulations identified eight specific chemical components within QBD as potential active ingredients. > The study hypothesizes that QBD exerts its therapeutic effects through a dual mechanism: directly binding to DENV proteins to inhibit viral replication, and regulating CXCL10 and EZH2 to alleviate DENV-induced inflammatory responses and modulate host immunity.

Why It Matters

This computational study provides a crucial theoretical framework for understanding how Qingwen Baidu Decoction (QBD) may combat dengue fever, offering insights into its multi-faceted action. Identifying specific gene targets like CXCL10 and EZH2 and cellular targets such as dendritic cells, monocytes, and macrophages, opens avenues for targeted drug development and rationalizing traditional medicine use. While not a direct clinical protocol, these findings could guide future experimental validation of QBD's efficacy and inform the development of novel anti-dengue therapies that modulate inflammation and host immunity. This work moves beyond traditional empirical use, providing a molecular basis for QBD's observed clinical benefits and potentially accelerating the path to an FDA-approved treatment for this widespread disease.


Source: pubmed:42332327 · Ingested 2026-06-23 · Digest: gemini-2.5-flash