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2000
Volume 21, Issue 4
  • ISSN: 1573-3971
  • E-ISSN: 1875-6360

Abstract

Introduction

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation and joint destruction, leading to significant disability and reduced quality of life. Current treatment options for RA have limitations, highlighting the need for novel therapeutic approaches. In this study, we employed network pharmacology methods to identify potential bioactive compounds from (avocado) for the treatment of RA.

Materials and Methods

We collected information on the phytoconstituents of avocados from the IMPPAT database and used Data Warrior software to filter out 64 plant constituents based on ADMET criteria. Target genes associated with avocado compounds were identified using the Bindingdb web server, resulting in 209 genes from . Protein-protein interaction (PPI) network analysis was performed using Cytoscape software to identify key genes and proteins involved in RA. Protein-drug interactions were analyzed, and ten avocado constituents with high binding affinity were identified.

Results and Discussion

Our network pharmacology analysis revealed that avocado constituents, particularly Luteolin, have the potential to be developed as novel therapeutics for RA. The PPI network analysis identified key genes and proteins associated with RA, providing insights into the molecular mechanisms of the disease. The high binding affinity observed between Luteolin and PTGS2, a protein involved in joint inflammation, suggests its potential effectiveness in mitigating RA-related inflammation.

Conclusion

Our study highlights the potential of avocado constituents, particularly Luteolin, as promising therapeutics for the treatment of rheumatoid arthritis (RA). Through network pharmacology analysis, we identified key target genes and proteins associated with RA, shedding light on the underlying molecular mechanisms of the disease.

© 2025 Bentham Science Publishers
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Exploring Potential Bioactive Components of Persea americana for the Treatment of Rheumatoid Arthritis through Network Pharmacology
Curr. Rheumatol. Rev. 21, 386 (2025); https://doi.org/10.2174/0115733971294872240801113559
/content/journals/crr/10.2174/0115733971294872240801113559
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  • Article Type:     Research Article
Keyword(s): molecular docking; network pharmacology; Persea americana; protein-drug interactions; protein-protein interaction; Rheumatoid arthritis

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