Work

STAT4 gene polymorphism promotes progression of rheumatoid arthritis

Year: 2025

Type: article

Abstract: • Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that can damage joints to varying degrees of severity. • RA development is influenced by a variety of risk factors, including environmental and genetic variables. • Several genes discovered and verified by genome-wide association (GWA) have been demonstrated to play significant roles in RA development. • Single nucleotide polymorphisms (SNPs), which are changes in a single nucleotide within a gene which play an important role in diseases progression. • Signal transducer and activator of transcription 4 (STAT4) gene located on human chromosome 2q32, and found to contributing in several diseases development including RA. Rheumatoid Arthritis (RA) is a chronic autoimmune disease. Right now, different genes play a crucial role in disease development. The objective was to assess the correlation between STAT4 gene polymorphism (SNPs: rs11889341, rs10181656 and rs7574865) and susceptibility to RA progression in Iraqi population. Three Hundred Twenty-five RA patients and Three Hundred Twenty-five matched controls were enrolled in this study. The genotyping for SNPs was performed using (Tetra-ARMS) technique. The clinical parameters were obtained through laboratory investigations and clinical examination. Our results showed obvious statistical significance between cases and control genotypes regarding to SNPs (rs11889341: CC and TT, rs10181656: GG and rs7574865: TT). Additionally, analysis displayed a discrepancy in genotypes frequency of SNPs (rs11889341: CC among family history and Anti-CCP, but TT genotype with RF), (rs7574865: TT within RF and Anti-CCP, GG genotype in relation to family history. Our study concluded that STAT4 gene polymorphism (SNPs: rs11889341, rs10181656 and rs7574865) were associated with RA development in Iraqi population. Furthermore, the SNPs (rs11889341 and rs7574865) were related to family history, RF and Anti-CCP, while SNP (rs10181656) didn’t display any relation among studied population.

Source: Journal of Genetic Engineering and Biotechnology

DOI: 10.1016/j.jgeb.2025.100589

Authors: Dawood Ali Salim Dawood, Anwar Madlool Al-janabi, Rana Talib Al-Muswie, Lee Suan Chua, U.A. Al‑Sari, Samer Alwazni

Institutions: University of Wasit, University of Kufa, Thi Qar University, University of Technology Malaysia

Language: English

Topic: Rheumatoid Arthritis Research and Therapies

Subfield: Rheumatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,000