Department of Ophthalmology, Li Huili Hospital Affiliated with Ningbo University, Ningbo, China.
Department of Hepato-Pancreato-Biliary Surgery, Li Huili Hospital Affiliated with Ningbo University, Ningbo, China.
Front Immunol. 2024 Sep 2;15:1381002. doi: 10.3389/fimmu.2024.1381002. eCollection 2024.
This article explored the causal relationship between immune cells and diabetic retinopathy (DR) using single nucleotide polymorphisms (SNPs) as an instrumental variable and Mendelian randomization (MR).
Statistical data were collected from a publicly available genome-wide association study (GWAS), and SNPs that were significantly associated with immune cells were used as instrumental variables (IVs). Inverse variance weighted (IVW) and MR-Egger regression were used for MR analysis. A sensitivity analysis was used to test the heterogeneity, horizontal pleiotropy, and stability of the results.
We investigated the causal relationship between 731 immune cells and DR risk. All the GWAS data were obtained from European populations and from men and women. The IVW analysis revealed that HLA DR on CD14+ CD16- monocytes, HLA DR on CD14+ monocytes, HLA DR on CD33-HLA DR+, HLA DR on CD33+ HLA DR+ CD14- on CD33+ HLA DR+ CD14dim, and HLA DR on myeloid dendritic cells may increase the risk of DR (P<0.05). HLA DR to CD14-CD16- cells, the monocytic myeloid-derived suppressor cell absolute count, the SSC-A count of CD4+ T cells, and terminally differentiated CD4+ T cells may be protective factors against DR (P<0.05). The sensitivity analysis indicated no heterogeneity or pleiotropy among the selected SNPs. Furthermore, gene annotation of the SNPs revealed significant associations with 10 genes related to the risk of developing PDR and potential connections with 12 other genes related to PDR.
Monocytes and T cells may serve as new biomarkers or therapeutic targets, leading to the development of new treatment options for managing DR.
本研究采用单核苷酸多态性(SNP)作为工具变量和孟德尔随机化(MR)来探讨免疫细胞与糖尿病视网膜病变(DR)之间的因果关系。
从公开的全基因组关联研究(GWAS)中收集统计数据,将与免疫细胞显著相关的 SNP 作为工具变量(IVs)。采用逆方差加权(IVW)和 MR-Egger 回归进行 MR 分析。采用敏感性分析检验结果的异质性、水平多效性和稳定性。
我们研究了 731 种免疫细胞与 DR 风险之间的因果关系。所有 GWAS 数据均来自欧洲人群和男性和女性。IVW 分析显示,CD14+CD16-单核细胞上的 HLA-DR、CD14+单核细胞上的 HLA-DR、CD33-HLA-DR+上的 HLA-DR、CD33+ HLA-DR+ CD14-CD33+ HLA-DR+ CD14dim 上的 HLA-DR 和髓样树突状细胞上的 HLA-DR 可能增加 DR 的风险(P<0.05)。HLA-DR 与 CD14-CD16-细胞、单核细胞髓样来源的抑制细胞绝对计数、CD4+T 细胞的 SSC-A 计数和终末分化的 CD4+T 细胞可能是 DR 的保护因素(P<0.05)。敏感性分析表明,所选 SNP 之间无异质性或多效性。此外,SNP 的基因注释显示与 PDR 风险相关的 10 个基因显著相关,并与 12 个其他与 PDR 相关的基因存在潜在联系。
单核细胞和 T 细胞可能成为新的生物标志物或治疗靶点,为治疗 DR 开发新的治疗方法提供依据。