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Sarangi S, Barik D, Nahak SK, Panda AK. Association of Interleukin 23 Receptor Polymorphisms with Predisposition to Rheumatoid Arthritis: An Updated Meta and Trial Sequential Analysis. Biochem Genet 2024:10.1007/s10528-023-10644-x. [PMID: 38270697 DOI: 10.1007/s10528-023-10644-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 12/18/2023] [Indexed: 01/26/2024]
Abstract
The etiology of Rheumatoid Arthritis (RA) development remained unclear, and several factors, such as environmental, genetic, and immune system dysfunction, have been attributed to the susceptibility. Interleukin 23 (IL23) induces expansion of the Th17 cells through the IL-23 receptor (IL-23R) and believes in playing a major role in RA pathogenesis. Various genetic mutants in the IL23R gene (rs10489629, rs1343151, rs2201841, rs7517847, rs1004819, rs10889677, rs11209026, rs7530511) have been associated with the susceptibility RA, but results are contradictories. We performed a meta-analysis to establish the association of IL23R polymorphisms with susceptibility RA. For the meta-analysis, a detailed search of databases like Google Scholar, PubMed, Scopus, Web of Science, and Science Direct was conducted, and data were extracted from the included reports. The meta-analysis was performed by the Comprehensive Meta-Analysis v3 software. A significant association of IL-23R rs11209026 (AA vs. GG: Odds ratio = 2.250, p-value = 0.01; AA vs. GG+GA: Odds ratio = 2.271, p-value = 0.01), rs1343151 (A vs. G: Odds ratio = 1.091, p-value = 0.001; AA vs. GG: Odds ratio = 1.209, p-value = 0.001; GA vs. GG: Odds ratio = 1.116, p-value = 0.004; AA+GA vs. GG: Odds ratio = 1.135, p-value = 0.000; AA vs. GG+GA: Odds ratio = 1.144, p-value = 0.012) and rs10889677 (CA vs. CC: Odds ratio = 1.375, p-value = 0.041) polymorphisms were observed with increased susceptibility for the development of RA. In contrast, IL-23R rs10489629 (G vs. A: odds ratio = 0.901, p-value = 0.047, GG vs. AA: Odds ratio = 0.763, p-value = 0.022, GG vs. AA+AG: Odds ratio = 0.852, p-value = 0.00) and IL23R rs2201841 (CC vs. TT+TC: Odds ratio = 0.826, p-value = 0.026) variants were linked with protection against the development of RA. In addition, the trial sequential analysis revealed the inclusion of a sufficient number of studies in the present meta-analysis, and no further additional studies are required. IL-23R variants are associated with genetic susceptibility or resistance against the development of RA.
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Affiliation(s)
- Surjyapratap Sarangi
- ImmGen EvSys Lab, Department of Biotechnology, Berhampur University, Bhanja Bihar, Berhampur, Odisha, 760007, India
| | - Debashis Barik
- ImmGen EvSys Lab, Department of Biotechnology, Berhampur University, Bhanja Bihar, Berhampur, Odisha, 760007, India
| | - Suraj Kumar Nahak
- ImmGen EvSys Lab, Department of Biotechnology, Berhampur University, Bhanja Bihar, Berhampur, Odisha, 760007, India
| | - Aditya K Panda
- ImmGen EvSys Lab, Department of Biotechnology, Berhampur University, Bhanja Bihar, Berhampur, Odisha, 760007, India.
- Centre of Excellence on Bioprospecting of "Ethnopharmaceuticals of Southern Odisha" (CoE-BESO), Berhampur University, Bhanja Bihar, Berhampur, Odisha, 760007, India.
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Zhang T, Yu L, Shao M, Wu Y, Wang J, Deng Y, Ni M, Sun X, Chen Y, Xu S, Ma Y, Shuai Z, Pan F. Associations between IL-23R gene polymorphism (rs10889677 A/C) and ankylosing spondylitis and rheumatoid arthritis susceptibility: A meta-analysis with trial sequential analysis. Autoimmunity 2022; 55:388-397. [PMID: 35583389 DOI: 10.1080/08916934.2022.2076837] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Autoimmune diseases are a kind of chronic diseases for which the immune system loses tolerance to autoantigens. This meta-analysis' purpose is to determine whether there exists a correlation between IL-23R polymorphism and common autoimmune diseases like ankylosing spondylitis (AS) and rheumatoid arthritis (RA). METHODS We searched the relevant literatures up to September 2021 and used different effect models for meta-analysis. 95% confidence interval (95% CI) and odds ratio (OR) were used to determine the relationship between rs10889677 (A/C) polymorphism and AS as well as RA. Finally, to promote the reliability of results, the trial sequential analysis (TSA) has also been applied and we searched the data related to autoimmune diseases (AS, RA) on genome-wide association studies (GWAS). RESULTS Generally, 31 studies were included. Rs10889677 (A/C) was significantly correlated with the susceptibility to AS and RA among the general individuals (p < .05). Moreover, there existed a relevance between allele A and AS as well as RA in Caucasians (p < .05). AA genotype increased the risk of autoimmune diseases in Mongolians. As a result, the robustness of meta-analysis has further been proved by TSA. CONCLUSION IL-23R (rs10889677 A/C) A allele was a risk gene for AS and RA in the general population, especially in Caucasians. AA genotype increased the risk of AS and RA in Mongolians.
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Affiliation(s)
- Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
| | - Lingxiang Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
| | - Ming Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
| | - Ye Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jinian Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yujie Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Man Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoya Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
| | - Shanshan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
| | - Zongwen Shuai
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, China
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Mohammadi FS, Aslani S, Mostafaei S, Jamshidi A, Riahi P, Mahmoudi M. Are genetic variations in IL-21-IL-23R-IL-17A cytokine axis involved in a pathogenic pathway of rheumatoid arthritis? Bayesian hierarchical meta-analysis. J Cell Physiol 2019; 234:17159-17171. [PMID: 30924147 DOI: 10.1002/jcp.28495] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 02/16/2019] [Accepted: 02/20/2019] [Indexed: 12/24/2022]
Abstract
Inflammatory cytokines have been established to be involved in the pathogenesis of rheumatoid arthritis (RA). The genetic polymorphisms in the interleukin (IL) 23 receptor (IL23R), IL21, and IL17 have been associated with RA risk. However, there is no conclusive understanding of the genes encoding the immunoinflammatory IL-21-IL-23R-IL-17A pathway in RA aetiopathogenesis. This meta-analysis was conducted to attain this goal. A comprehensive literature search was conducted in Scopus and PubMed to look for the relevant case-control studies up until 2018. A Bayesian hierarchical meta-analysis was carried out to assess the association between the polymorphisms and the risk of RA. The association was estimated by calculating the logarithm of odds ratio (Log OR) and 95% credible interval (95% CI). In this meta-analysis, 37 case-control studies comprising 23,506 RA patients and 25,984 healthy individuals were found for analyzing the IL23R, IL21, and IL1A gene polymorphism and risk of RA. In the IL23R gene rs1343151 SNP, the minor A allele significantly increased the risk of RA (Log OR = 0.085, 95% CI = 0.008, 0.156). Moreover, the minor AA genotype was significantly associated with increased RA risk (Log OR = 0.176, 95% CI = 0.028, 0.321). In addition, the C allele of the IL23R gene rs2201841 SNP significantly decreased the disease risk (Log OR = -0.544, 95% CI = -1.0, -0.065). Since Bayesian meta-analysis is a powerful strategy to pool the data, it can be mentioned that genetic polymorphisms of IL23R, but not IL21 and IL17A, are involved in susceptibility to RA.
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Affiliation(s)
| | - Saeed Aslani
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shayan Mostafaei
- Department of Community Medicine, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ahmadreza Jamshidi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Parisa Riahi
- Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mahdi Mahmoudi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
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