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An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
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An Adoptive Transfer Model of Rheumatoid Arthritis in Mice

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Identifying Targets and Drugs for Rheumatoid Arthritis Stratified Therapy Using Mendelian Randomization and a

Yuqing Yan1, You Wu1, Yixuan Sun1

  • 1Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430074, China.

International Journal of Molecular Sciences
|June 26, 2025
PubMed

Insights

Lifestyle factors influence rheumatoid arthritis (RA) subtypes. This study identified key cytokines and used AI to predict novel drugs for personalized RA treatment, improving drug efficacy for heterogeneous patient groups.

Area of Science:

  • Immunology
  • Pharmacology
  • Genetics

Background:

  • Rheumatoid arthritis (RA) presents diverse subtypes (seropositive, seronegative) influenced by lifestyle, leading to varied drug responses.
  • High heterogeneity in RA impacts treatment efficacy, necessitating personalized therapeutic strategies.

Purpose of the Study:

  • To identify specific cytokines that mediate the influence of lifestyle factors on RA subtypes.
  • To discover novel drug candidates for personalized treatment of heterogeneous RA patients.

Main Methods:

  • Mendelian randomization analysis to identify mediating cytokines (MIP1b, SCGFb, TRAIL).
  • AI-driven prediction (DrugBAN) of small molecule drug binding to identified cytokine targets.
  • Structural similarity analysis, molecular docking, and simulations to screen and validate potential new drugs.

Main Results:

  • Three cytokines (MIP1b, SCGFb, TRAIL) were identified as partial mediators between lifestyle and RA subtypes.
  • The AI model predicted high binding probabilities for numerous small molecules against these targets.
  • Computational validation confirmed promising binding affinities for screened drugs, suggesting potential therapeutic utility.

Conclusions:

  • Identified cytokine targets and computationally screened drugs offer a pathway for personalized RA therapy.
  • Findings support tailored treatment approaches for RA patients based on lifestyle and disease subtype.
  • This study provides a framework for leveraging AI and computational methods in drug discovery for complex diseases like RA.
Keywords:
cytokinesdrug predictionpretraining modelrheumatoid arthritis subtypes

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