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September 23, 2025Open Access

Bioinformatics Analysis Screened and Identified Key Genes, miRNAs and TFs as Potential Biomarkers for Progression of Rheumatoid Arthritis

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Authors

BVBasavaraj VastradSPShivaling PattanashettiVSVeeresh Sadashivanavar

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Overview

Bioinformatics analysis reveals key genes, miRNAs, and TFs as potential biomarkers for rheumatoid arthritis progression.

Key Points

  • A total of 958 differentially expressed genes were found between rheumatoid arthritis cases and normal controls.
  • Notable biomarkers include MYC, MKI67, and several microRNAs and transcription factors implicated in disease progression.
  • The study utilized next generation sequencing data and bioinformatics tools for gene expression and pathway analysis.
  • Identifying these potential biomarkers could enhance the accuracy of rheumatoid arthritis diagnosis and treatment.

Cite This Study

Vastrad et al. (2025) studied this question.

synapsesocial.com/papers/68d440ac713b0b5dfea801d4https://doi.org/10.21203/rs.3.rs-7663291/v1
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