Synovial Fluid Laboratory, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico.
Biological and Health Sciences PhD Program, Universidad Autónoma Metropolitana Iztapalapa, Mexico City, Mexico.
Clin Rheumatol. 2019 Oct;38(10):2897-2907. doi: 10.1007/s10067-019-04635-w. Epub 2019 Jun 25.
INTRODUCTION/OBJECTIVES: Articular cartilage is the target tissue of osteoarthritis (OA), and because it lacks capillary networks, the microenvironment is hypoxic. Hypoxia inducible factor-1 alpha (HIF-1α) regulates the homeostasis of this tissue. The aim of this study was to investigate whether genetic polymorphisms of the HIF-1α signaling pathway are involved in the development of knee OA.
We performed a case-control association study and genotyped 134 knee OA patients and 267 healthy controls. All participants were genotyped in order to evaluate 42 SNPs from 22 genes involved in the HIF-1α signaling pathway using the OpenArray technology. Gene-gene interactions (epistasis) were analyzed using the multifactor dimensionality reduction (MDR) method.
The MDR analysis showed epistasis between AKT2 (rs8100018) and IGF1 (rs2288377), AKT2 (rs8100018) and IGF1 (rs35767), IGF1 (rs35767) and COL2A1 (rs1793953), and between GSK3B (rs6438552) and IGF1 (rs35767) polymorphisms, with information gain values of 21.24%, 8.37%, 9.93%, and 5.73%, respectively. Additionally, our model allowed us to identify high- and low-risk genotypes among COL2A1 rs1793953, GSK3B rs6438552, AKT2 rs8100018, and IGF1 rs35767 polymorphisms.
Knowing the interactions of these polymorphisms involved in HIF-1α signaling pathway could provide a new diagnostic support tool to identify individuals at high risk of developing knee OA.
简介/目的:关节软骨是骨关节炎(OA)的靶组织,由于其缺乏毛细血管网络,微环境呈缺氧状态。缺氧诱导因子-1α(HIF-1α)调节组织的内稳态。本研究旨在探讨 HIF-1α信号通路的遗传多态性是否与膝关节 OA 的发生有关。
我们进行了病例对照关联研究,共纳入 134 例膝关节 OA 患者和 267 例健康对照者。采用 OpenArray 技术,对 22 个基因中的 42 个与 HIF-1α信号通路相关的 SNP 进行基因分型,以评估所有参与者的基因型。采用多因素维度缩减(MDR)方法分析基因-基因相互作用(上位性)。
MDR 分析显示 AKT2(rs8100018)和 IGF1(rs2288377)、AKT2(rs8100018)和 IGF1(rs35767)、IGF1(rs35767)和 COL2A1(rs1793953)以及 GSK3B(rs6438552)和 IGF1(rs35767)之间存在上位性,信息增益值分别为 21.24%、8.37%、9.93%和 5.73%。此外,我们的模型还可以确定 COL2A1 rs1793953、GSK3B rs6438552、AKT2 rs8100018 和 IGF1 rs35767 多态性中的高风险和低风险基因型。
了解这些涉及 HIF-1α信号通路的多态性的相互作用,可以为识别易患膝关节 OA 的高危个体提供新的诊断支持工具。