Triguero-Martínez Ana, Pardines Marisa, Montes Nuria, Ortiz Ana María, de la Iglesia-Cedeira Alba, Valero-Martínez Cristina, Martín Javier, González-Álvaro Isidoro, Castañeda Santos, Lamana Amalia
Rheumatology Department, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), 28006 Madrid, Spain.
Cell Biology Department, Facultad de Biología, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Life (Basel). 2024 Sep 3;14(9):1109. doi: 10.3390/life14091109.
The aim of this study was to identify single-nucleotide polymorphisms (SNPs) in bone remodeling-related genes associated with disease severity and bone mineral density (BMD) in early arthritis (EA) patients. For this purpose, the genotyping of 552 SNPs located in gene regions of semaphorins 4b, 4d, 4f, DKK1, 2 and 3, sclerostin, OPG, RANK and RANKL was performed using Immunochip from Illumina Inc. in 268 patients from the Princesa Early Arthritis Register Longitudinal (PEARL) study. Measurements of BMD and disease activity were chosen as outcome variables to select SNPs of interest. The relationships of SNPs with the BMD of the forearm, lumbar spine and hip (Hologic-4500 QDR) were analyzed by linear regression adjusted for age, sex, body mass index and presence of anti-citrullinated peptide antibodies (ACPAs). The association of each SNP with activity variables was analyzed by linear regression, logistic regression or ordered logistic regression according to the variable, and multivariate models were adjusted for potentially confounding variables, such as age, sex and presence of ACPAs. These analyses showed that four SNPs located in the genes coding for RANK () and OPG () were significantly associated with clinical variables of severity. SNP rs1805034 located in exon 6 of , which causes a non-synonymous (A/V) mutation, showed significant association with BMD and therefore may be considered as a possible biomarker of severity in RA patients. SNPs in the OPG gene showed an association with serum OPG levels and predicted disease activity after two years of follow-up.
本研究的目的是鉴定早期关节炎(EA)患者中与疾病严重程度和骨矿物质密度(BMD)相关的骨重塑相关基因中的单核苷酸多态性(SNP)。为此,在来自Princesa早期关节炎登记纵向(PEARL)研究的268名患者中,使用Illumina公司的免疫芯片对位于信号素4b、4d、4f、DKK1、2和3、硬化蛋白、骨保护素(OPG)、核因子κB受体活化因子(RANK)和RANK配体(RANKL)基因区域的552个SNP进行基因分型。选择BMD测量值和疾病活动度作为结局变量来选择感兴趣的SNP。通过对年龄、性别、体重指数和抗瓜氨酸化肽抗体(ACPA)的存在进行校正的线性回归分析SNP与前臂、腰椎和髋部(Hologic - 4500 QDR)BMD的关系。根据变量,通过线性回归、逻辑回归或有序逻辑回归分析每个SNP与活动变量的关联,并对多变量模型进行潜在混杂变量校正,如年龄、性别和ACPA的存在。这些分析表明,位于编码RANK()和OPG()的基因中的四个SNP与严重程度的临床变量显著相关。位于外显子6的导致非同义(A/V)突变的SNP rs1805034与BMD显著相关,因此可能被视为类风湿关节炎(RA)患者严重程度的一个可能生物标志物。OPG基因中的SNP与血清OPG水平相关,并在两年随访后预测疾病活动度。