Skip to content
Open access

Integrated InPETM drug analysis and transcriptomics to explore potential mechanisms and key active components of multiple traditional Chinese medicine prescriptions for psoriasis.

Aug 2026 · Computational biology and chemistry · Vol 125, pp. 109365 · 0 citations · 42 references
Medicine

TL;DR

Core herbs and their key active compounds, especially Quercetin and Kaempferol, may be associated with potential anti-psoriatic effects through interactions with IL6, IL1B, MMP9, and JUN, and their involvement in immune, inflammatory, and epidermal proliferation-related pathways.

Abstract

Background

Psoriasis is a chronic immune-mediated inflammatory skin disease characterized by epidermal hyperproliferation, skin barrier dysfunction, and immune dysregulation, with a complex pathogenesis. This study aimed to investigate the potential molecular mechanisms underlying the therapeutic effects of traditional Chinese medicine (TCM) compound prescriptions for psoriasis.

Methods

The psoriasis transcriptomic dataset GSE14905 was downloaded from the Gene Expression Omnibus (GEO) database. Psoriasis-related genes and TCM compound prescriptions for psoriasis were collected. Differentially expressed gene (DEG) analysis and functional enrichment analysis, Integrated Pharmacology and Efficacy Testing Model (InPETM) drug analysis, drug-likeness evaluation, key gene screening, Gene Set Enrichment Analysis (GSEA), immune infiltration analysis, molecular docking, and molecular dynamics simulations were performed.

Results

A total of 1969 DEGs were identified and enriched in psoriasis-related pathways, including the TNF signaling pathway. Four core herbs (Bai Zhu, Gan Cao, Huang Qi, Ku Shen) and four key active compounds (Succinic Acid, Quercetin, Linoleic Acid, Kaempferol) were screened. Key genes (IL6, IL1B, MMP9, JUN) targeted by these compounds were jointly enriched in immune-related signaling pathways, such as T-cell receptor signaling pathway, and correlated with differentially infiltrated immune cell subsets, including activated CD4⁺ memory T cells and M1 macrophages. Molecular docking and molecular dynamics simulations suggested favorable and relatively stable binding interactions between Quercetin/Kaempferol and proteins encoded by MMP9, IL6, and IL1B.

Conclusion

Core herbs and their key active compounds, especially Quercetin and Kaempferol, may be associated with potential anti-psoriatic effects through interactions with IL6, IL1B, MMP9, and JUN, and their involvement in immune, inflammatory, and epidermal proliferation-related pathways.

Read PDF

Similar papers

Open access Aug 2026

Network pharmacology and molecular simulation study on the multi-target gene regulatory mechanism of Isatis indigotica against hepatic inflammation

It is suggested that Isatis indigotica acts on HBV-associated hepatic inflammation through multi-target synergistic regulation of NF-κB and JAK-STAT signaling pathways, providing mechanistic insights and potential therapeutic targets for HBV management.

Xue-Ru Li, Yang Wang, Hui-Jun Cheng et al. · 0 citations
Open access Sep 2026

Integrated bioinformatics and experimental validation reveal lucanthone as a promising therapeutic agent targeting core genes in psoriasis.

Psoriasis is an immune-mediated chronic inflammatory skin disease driven by epidermal hyperproliferation and cutaneous immune dysregulation, yet lacks reliable diagnostic biomarkers. Here, we identified 14 core genes with excellent diagnostic value (AUC = 0.996), which were abnormally upregulated in psoriatic lesions,...

Xin-Wen Zhang, Shan-Ru Yang, Mei Chen et al. · 0 citations
Open access Aug 2026

Integrative network pharmacology and molecular modeling approaches reveal the therapeutic potential of Syzygium samarangense phytocompounds against diabetes retinopathy

These multi-target interactions suggest that S. samarangense phytochemicals can modulate key DR-associated pathways, and exhibits promising multi-target activity against Diabetes retinopathy.

Arun Kandhan, B. Mathew, Sundarrajan Thirugnanasambandam · 0 citations
Open access Aug 2026

Exploring the mechanism of Shengmai San in treating lung adenocarcinoma based on bioinformatics and molecular dynamics simulation

To investigate the mechanism of Shengmai San (SMS) in the treatment of lung adenocarcinoma (LUAD) based on an integrated strategy combining “network pharmacology, bioinformatics, molecular docking, and molecular dynamics simulation,” aiming to provide a precise combination therapy strategy and identify potential bioact...

Xiao-ling Zhou, Diyao Wu, Xiao-Hui Zhang et al. · 0 citations
Sep 2026

Integrated network pharmacology and metabolomics reveal the mechanisms of Compound Nanxing Zhitong Plaster in anti-rheumatoid arthritis.

CNZP exhibits significant therapeutic effects on RA, potentially by downregulating NOS1 expression and subsequently correcting the metabolic imbalance of L-arginine, and this preclinical study provides mechanistic evidence for the anti-RA effect of CNZP.

Zhi-Qiang Li, Liang Cao, Jia-Jia Wang et al. · 0 citations
Aug 2026

Elucidating the Therapeutic Mechanism of Puhuaiyin in Rosacea: An Integrated Study Based on Network Pharmacology, Bioinformatics, Molecular Docking, and Molecular Dynamics Simulations.

BACKGROUND Rosacea is a chronic inflammatory skin disorder with limited therapeutic options. Puhuaiyin (PHY), a traditional Chinese medicinal formula, shows clinical efficacy, but its multi-component mechanisms remain unclear. METHODS Chemical constituents of PHY were identified by UPLC-Q-TOF-MS. Network pharmacology...

Dan Sun, Na-Na Yang, Yi-Ding Zhao et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.