Network Pharmacology-based and Molecular Docking Combined with GEO Gene Chips to Investigate the Potential Mechanism of Duhuo Jisheng Decoction against Rheumatoid Arthritis


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Abstract

Background:Rheumatoid Arthritis (RA) is a chronic autoimmune disease with various symptoms in patients. Duhuo Jisheng Decoction (DHJSD) has been used to treat RA in China for a long history as a classic TCM formula. However, the underlying pharmacological mechanism still needs to be elucidated.

Purpose:In the current study, we combined network pharmacology with molecular docking to investigate the potential mechanism of DHJSD treating RA.

Methods:The active compounds and related targets of DHJSD were obtained from the TCMSP database. The RA targets were retrieved from the GEO database. The PPI network of overlapping targets was constructed, whereas the core genes were selected by CytoNCA for molecular docking. GO and KEGG enrichment analysis were used to further explore the biological process and pathways of overlapping targets. On this basis, molecular docking was carried out to verify the interrelations of the main compounds and core targets.

Results:In this study, we found 81 active components corresponding to 225 targets of DHJSD. Moreover, 775 RA-related targets were obtained, of which 12 were shared between DHJSD targets and RA target genes. From GO and KEGG analysis, there were 346 GO items and 18 signaling pathways. As the molecular docking showed, the binding of components was stable with the core gene.

Conclusion:In conclusion, our works revealed the underlying mechanism of DHJSD for treating RA using network pharmacology and molecular docking, which provided a theoretical basis for further clinical application in the future.

About the authors

Zhao Yang

Department of Orthopedics, Tianjin Hospital

Author for correspondence.
Email: info@benthamscience.net

Zhen-Zhen Yuan

Department of Orthopedics, Tianjin Hospital

Email: info@benthamscience.net

Xin-long Ma

Department of Orthopedics, Tianjin Hospital

Author for correspondence.
Email: info@benthamscience.net

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