Evidence map›Paper›PMID 41684094›Full record

ArticleImmunity, inflammation and disease2026

Analysis of TNFAIP3, IRAK1, and TLR4 Gene Polymorphisms in Patients With Rheumatoid Arthritis.

Zhenboyang Tang, Lihui Peng, Zixia Zhao, Xiping Zhou, Xiru Ling, Chunyan Huang, Jiqiang Wu, Ping Wang, Jie Chen

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Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhenboyang TangDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Lihui PengDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Zixia ZhaoDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Xiping ZhouDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Xiru LingDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Chunyan HuangDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Jiqiang WuDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Ping WangDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.
Jie ChenDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.ORCID https://orcid.org/0000-0001-5696-9070

Funding

Project of Technology Department in Sichuan Province 2020YJ0187
6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) arises from a complex interplay of polygenic susceptibility, epigenetic factors, and environmental modifiers. This study investigated the correlation between RA and Tumor necrosis factor α-induced protein 3 (TNFAIP3), Interleukin-1 receptor-associated kinase 1 (IRAK1), and Toll-like receptor 4 (TLR4) gene polymorphisms.

methodsA sample of 308 RA cases and 310 matched controls was included. Genotyping of the TNFAIP3, IRAK1, and TLR4 was performed via mass spectrometry.

resultsCompared to healthy controls, individuals carrying the rs1059703 A allele (odds ratio (OR) = 0.640, 95% confidence interval (CI): 0.458-0.895, p = 0.009) of IRAK1, individuals carrying the rs5029930 C allele (OR = 0.469, 95% CI: 0.298-0.739, p = 0.001), and AC genotype (OR = 0.427, 95% CI: 0.255-0.716, p = 0.001) of TNFAIP3 had a lower RA risk. Individuals carrying the rs5029939 C allele (OR = 2.401, 95% CI: 1.436-4.017, p = 0.001) of TNFAIP3, individuals carrying the rs7873784 C allele (OR = 1.549, 95% CI: 1.101-2.179, p = 0.012), and CG genotype (OR = 1.489, 95% CI: 1.011-2.193, p = 0.043) of TLR4 had a higher RA risk.

conclusionIn summary, the TNFAIP3, IRAK1, and TLR4 gene polymorphisms are associated with RA susceptibility.

Indexed as

Arthritis, RheumatoidInterleukin-1 Receptor-Associated KinasesPolymorphism, Single NucleotideToll-Like Receptor 4Tumor Necrosis Factor alpha-Induced Protein 3AdultAllelesCase-Control StudiesDNA-Binding ProteinsFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansIntracellular Signaling Peptides and ProteinsMaleDNA-Binding ProteinsInterleukin-1 Receptor-Associated KinasesIntracellular Signaling Peptides and ProteinsIRAK1 protein, humanTLR4 protein, humanTNFAIP3 protein, humanToll-Like Receptor 4Tumor Necrosis Factor alpha-Induced Protein 3IRAK1rheumatoid arthritissingle nucleotide polymorphismTLR4TNFAIP3

Identifiers

PMID41684094
PMCPMC12902183

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.