Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Front Immunol. 2024 Feb 28;15:1330560. doi: 10.3389/fimmu.2024.1330560. eCollection 2024.
Systemic sclerosis(SSc) remains unclear, studies suggest that inflammation may be linked to its pathogenesis. Hence, we conducted a bidirectional Mendelian randomization (MR) analysis to evaluate the association between cytokine and growth factor cycling levels and the risk of SSc onset.
In our study, the instrumental variables(IVs) for circulating cytokines were sourced from the genome-wide association study (GWAS) dataset of 8293 Finnish individuals. The SSc data comprised 302 cases and 213145 controls, and was included in the GWAS dataset. We employed four methods for the MR analysis: MR Egger, Inverse variance weighted (IVW), Weighted medium, and Weighted Mode, with IVW being the primary analytical method. Sensitivity analyses were performed using heterogeneity testing, horizontal pleiotropy testing, and the Leave One Out (LOO) method. We also conducted a reverse MR analysis to determine any reverse causal relationship between SSc and circulating cytokines.
After Bonferroni correction, MR analysis revealed that the Interleukin-5 (IL-5) cycle level was associated with a reduced risk of SSc [odds ratio (OR)=0.48,95% confidence interval (CI): 0.27-0.84, P=0.01]. It also indicated that the Stem cell growth factor beta (SCGF-β) cycling level might elevate the risk of SSc (OR = 1.36, 95% CI: 1.01-1.83, P = 0.04). However, the reverse MR analysis did not establish a causal relationship between SSc and circulating cytokine levels. Additionally, sensitivity analysis outcomes affirm the reliability of our results.
Our MR study suggests potential causal relationships between IL-5, SCGF-β, and the risk of SSc. Further research is essential to determine how IL-5 and SCGF-β influence the development of SSc.
系统性硬化症(SSc)的发病机制尚不清楚,有研究表明炎症可能与其发病机制有关。因此,我们进行了双向孟德尔随机分析(MR),以评估细胞因子和生长因子循环水平与 SSc 发病风险之间的关联。
在我们的研究中,循环细胞因子的工具变量(IVs)来源于 8293 名芬兰个体的全基因组关联研究(GWAS)数据集。SSc 数据包括 302 例病例和 213145 例对照,包含在 GWAS 数据集中。我们采用了四种 MR 分析方法:MR Egger、逆方差加权(IVW)、加权中位数和加权模式,其中 IVW 是主要分析方法。我们还进行了敏感性分析,包括异质性检验、水平多效性检验和留一法(LOO)检验。我们还进行了反向 MR 分析,以确定 SSc 和循环细胞因子之间是否存在反向因果关系。
经过 Bonferroni 校正后,MR 分析表明白细胞介素-5(IL-5)循环水平与 SSc 的发病风险降低相关[比值比(OR)=0.48,95%置信区间(CI):0.27-0.84,P=0.01]。它还表明干细胞生长因子β(SCGF-β)循环水平可能会增加 SSc 的发病风险(OR=1.36,95%CI:1.01-1.83,P=0.04)。然而,反向 MR 分析并未建立 SSc 和循环细胞因子水平之间的因果关系。此外,敏感性分析结果证实了我们结果的可靠性。
我们的 MR 研究表明 IL-5、SCGF-β 与 SSc 的发病风险之间存在潜在的因果关系。需要进一步研究以确定 IL-5 和 SGF-β 如何影响 SSc 的发生。