Department of Nephrology, Shenzhen Hengsheng Hospital, 20 Yintian Rd, Shenzhen, Guangdong, People's Republic of China.
Department of Nephrology, The 2nd Affiliated of Chengdu Medical College Nuclear Industry 416 Hospital, Chengdu, China.
Bioengineered. 2021 Dec;12(1):8833-8844. doi: 10.1080/21655979.2021.1987080.
Primary membranous nephropathy, also known as idiopathic membranous nephropathy, is an autoimmune disease. As an autoimmune disease, genetic factors are essential in the pathogenesis of IMN. People pay more and more attention to genetics and bioinformatics. With the continuous improvement and development of high-throughput gene sequencing and genotyping technology, it has been confirmed that many genes and their single nucleotide polymorphisms are strongly correlated with IMN disease susceptibility. However, there are few studies on HLA-DQA1 and PLA2R gene polymorphisms and IMN susceptibility in China. The purpose of this study was to investigate whether PLA2R rs2715928 and rs16844715 are related to IMN, the correlation between five SNP loci of PLA2R and HLA-DQA1 and IMN, and the effect of gene-gene interaction among different genotypes of each locus on disease. In this study, 86 patients with IMN confirmed by renal biopsy in the first hospital of Harbin Medical University and 90 healthy controls were selected. All subjects were excluded from secondary membranous nephropathy, pregnant or breastfeeding women, severe primary disease of vital organs, severe infection, major surgery, and severe trauma. Seven selected SNP loci were genotyped using the IMLDR multiple SNP typing kit. Chi-square test and logistic regression were used to analyze the correlation between each SNP and IMN. The general clinical data and laboratory indicators of each subject were recorded, and the relationship between different genotypes and clinical manifestations was analyzed. Among the 7 SNP loci included in the study, except HLA-DQA1 rs2187668, the other 6 loci all met Hardy-Weiberg equilibrium test (P > 0.05). The allele distribution of PLA2R rs2715928 and rs16844715 was significantly different between the IMN group and the healthy control group, and it was closely related to IMN (P < 0.05). There was no statistical difference in the distribution of alleles of rs2715918 between the IMN group and the control group (P* > 0.05), and there was also statistical difference in the distribution of alleles of rs35771982, rs3749117, and rs4664308 between the IMN group and the healthy control group (P < 0.05).The C allele of rs16844715 (OR = 2.03, 95%CI: 1.29-3.19, P* = 0.0140) and the A allele of rs2715928 (OR = 3.18, 95%CI: 1.94-5.24, P* = 3.54E-5), G allele of rs35771982 (OR = 4.07, 95%CI: 2.34-7.08, P* = 4.96E-6), T allele of rs3749117 (OR = 4.07, 95%CI: 2.34-7.08, P* = 4.96E-6), the A allele of rs4664308 (OR = 2.63, 95%CI: 1.54-4.49, P* = 0.0028) was the risk gene of IMN.Through the establishment of different genetic models, we found that,in the additive model, the three SNPs of PLA2R rs2715928 (OR = 5.40, 95%CI: 1.77-16.50, P* = 0.0217) and rs35771982 (OR = 15.15, 95%CI: 2.92-78.48, P* = 0.0084), rs3749117 (OR = 15.15, 95%CI: 2.92-78.48, P* = 0.0084) had a strong correlation with IMN. In the stealth model,homozygous gene risk type of the five SNPs,PLA2R rs16844715 (OR = 2.52, 95%CI: 1.38-4.61, P* = 0.0189) and rs2715928 (OR = 4.30, 95%CI: 2.31-8.03, P* = 3.14E-5), rs35771982 (OR = 4.85, 95%CI: 5.53-9.31, P* = 1.42E-5), rs3749117 (OR = 4.85, 95%CI: 5.53-9.31, P* = 1.42E-5) and rs4664308 (OR = 3.16, 95%CI: 1.67-5.97, P* = 0.0028) had a strong correlation with IMN. The distribution of GT haplotypes and CC haplotypes of rs35771982 and rs3749117 and CA haplotypes and TG haplotypes of rs16844715 and rs4664308 were significantly different between IMN group and control group (P < 0.05). When GMDR software was used to establish a model to analyze the interaction between various SNP sites, it was found that the combination of GG genotype at rs35771982 and AA genotype at rs2715928 was the highest risk of disease. The risk genotypes of rs16844715, rs2715928 and rs4664308 had no effect on the clinical manifestations of IMN (P > 0.05). PLA2R rs2715928 and rs16844715 are associated with susceptibility to IMN. The C allele of rs16844715, the A allele of rs2715928, the G allele of rs35771982, the T allele of rs3749117, and the A allele of rs4664308 are the dangerous genes of IMN. The combination of GG genotype at rs35771982 and AA genotype at rs2715928 poses the greatest risk of disease. Haplotype may affect susceptibility to IMN. The risk genotype had no effect on the clinical manifestations of IMN.
原发性膜性肾病,又称特发性膜性肾病,是一种自身免疫性疾病。作为一种自身免疫性疾病,遗传因素在特发性膜性肾病的发病机制中至关重要。人们越来越关注遗传学和生物信息学。随着高通量基因测序和基因分型技术的不断改进和发展,已经证实许多基因及其单核苷酸多态性与特发性膜性肾病的易感性密切相关。然而,在中国,关于 HLA-DQA1 和 PLA2R 基因多态性与特发性膜性肾病易感性的研究较少。本研究旨在探讨 PLA2R rs2715928 和 rs16844715 是否与特发性膜性肾病有关,以及 PLA2R 与 HLA-DQA1 的五个 SNP 位点之间的相关性和不同基因型的基因-基因相互作用对疾病的影响。本研究选取哈尔滨医科大学第一医院经肾活检证实的 86 例特发性膜性肾病患者和 90 例健康对照者。所有受试者均排除继发性膜性肾病、妊娠或哺乳期妇女、重要器官原发性疾病、严重感染、重大手术、严重创伤。采用 IMLDR 多重 SNP 分型试剂盒对 7 个选定的 SNP 进行基因分型。采用卡方检验和 logistic 回归分析各 SNP 与特发性膜性肾病的相关性。记录每位受试者的一般临床资料和实验室指标,并分析不同基因型与临床表现的关系。在研究中包含的 7 个 SNP 中,除了 HLA-DQA1 rs2187668 外,其余 6 个位点的等位基因分布均符合 Hardy-Weinberg 平衡检验(P>0.05)。PLA2R rs2715928 和 rs16844715 的等位基因分布在特发性膜性肾病组和健康对照组之间差异有统计学意义,与特发性膜性肾病密切相关(P<0.05)。特发性膜性肾病组和对照组 rs2715918 等位基因分布无统计学差异(P*>0.05),rs3749117、rs35771982 和 rs4664308 等位基因分布差异有统计学意义(P<0.05)。rs16844715 的 C 等位基因(OR=2.03,95%CI:1.29-3.19,P*=0.0140)和 rs2715928 的 A 等位基因(OR=3.18,95%CI:1.94-5.24,P*=3.54E-5),rs35771982 的 G 等位基因(OR=4.07,95%CI:2.34-7.08,P*=4.96E-6),rs3749117 的 T 等位基因(OR=4.07,95%CI:2.34-7.08,P*=4.96E-6),rs4664308 的 A 等位基因(OR=2.63,95%CI:1.54-4.49,P*=0.0028)是特发性膜性肾病的危险基因。通过建立不同的遗传模型,我们发现,在加性模型中,PLA2R rs2715928 的三个 SNP(OR=5.40,95%CI:1.77-16.50,P*=0.0217)和 rs35771982(OR=15.15,95%CI:2.92-78.48,P*=0.0084)、rs3749117(OR=15.15,95%CI:2.92-78.48,P*=0.0084)与特发性膜性肾病有很强的相关性。在隐匿模型中,PLA2R rs16844715(OR=2.52,95%CI:1.38-4.61,P*=0.0189)和 rs2715928(OR=4.30,95%CI:2.31-8.03,P*=3.14E-5)、rs35771982(OR=4.85,95%CI:5.53-9.31,P*=1.42E-5)、rs3749117(OR=4.85,95%CI:5.53-9.31,P*=1.42E-5)和 rs4664308(OR=3.16,95%CI:1.67-5.97,P*=0.0028)的纯合子基因风险类型与特发性膜性肾病有很强的相关性。rs35771982 和 rs3749117 的 GT 单体型和 CC 单体型以及 rs16844715 和 rs4664308 的 CA 单体型和 TG 单体型在特发性膜性肾病组和对照组之间分布差异有统计学意义(P<0.05)。当使用 GMDR 软件建立模型分析各 SNP 之间的相互作用时,发现 rs35771982 的 GG 基因型和 rs2715928 的 AA 基因型是疾病的最高风险。rs16844715、rs2715928 和 rs4664308 的风险基因型对特发性膜性肾病的临床表现无影响(P>0.05)。PLA2R rs2715928 和 rs16844715 与特发性膜性肾病易感性有关。rs16844715 的 C 等位基因、rs2715928 的 A 等位基因、rs35771982 的 G 等位基因、rs3749117 的 T 等位基因和 rs4664308 的 A 等位基因是特发性膜性肾病的危险基因。rs35771982 的 GG 基因型和 rs2715928 的 AA 基因型的组合对疾病的风险最大。单体型可能影响特发性膜性肾病的易感性。风险基因型对特发性膜性肾病的临床表现无影响。