国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (16): 2725-2728.DOI: 10.3760/cma.j.cn441417-20240724-16017

• 临床研究 • 上一篇    下一篇

ACA、ARA和IgG N-糖基化物与糖尿病视网膜病的关系

胡亚红1  袁烨2  李军琪3  张宁1   

  1. 1西安交通大学第一附属医院(东院区)检验科,西安 710089;2西安交通大学第一附属医院(东院区)眼科,西安 710089;3陕西省中西医结合医院(西安市第五医院)眼科,西安 710082

  • 收稿日期:2024-07-24 出版日期:2025-08-15 发布日期:2025-08-28
  • 通讯作者: 李军琪,Email:1930575588@qq.com
  • 基金资助:

    陕西省重点研发计划(2021SF-343)

Relationships of ACA, ARA, and IgG N-glycosylates with diabetic retinopathy

Hu Yahong1, Yuan Ye2, Li Junqi3, Zhang Ning1   

  1. 1 Department of Clinical Laboratory, East Hospital, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710089, China; 2 Department of Ophthalmology, East Hospital, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710089, China; 3 Department of Ophthalmology, Shaanxi Integrated Traditional Chinese and Western Medicine Hospital (Xi'an Fifth Hospital), Xi'an 710082, China

  • Received:2024-07-24 Online:2025-08-15 Published:2025-08-28
  • Contact: Li Junqi, Email: 1930575588@qq.com
  • Supported by:

    Key Plan of Research and Development in Shaanxi (2021SF-343)

摘要:

目的 探讨抗心磷脂抗体(ACA)、抗视网膜抗体(ARA)和免疫球蛋白G(IgG)N-糖基化物与糖尿病视网膜病变(DR)患者病情发生发展的关系。方法 选取2018年6月至2019年6月西安交通大学第一附属医院收治的DR患者75例,并将其分为2组:Ⅰ组为增殖性DR患者35例,Ⅱ组为非增殖性DR患者40例。另选取同期收治的不伴DR的糖尿病患者40例为对照组(Ⅲ组),以及同期在西安交通大学第一附属医院体检的40例健康者为健康组(Ⅳ组)。采用方差分析和χ2检验对比4组受试者的一般资料、生化指标及ACA、ARA和IgG N-糖基化物,并采用二分类logistic回归模型探索IgG N-糖基化物(IGPs)与DR进程的关系。结果 4组收缩压、糖化血红蛋白(HbA1c)、空腹血糖(FBG)、三酰甘油(TG)、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)比较,差异均有统计学意义(均P<0.05)。随DR病情进展,ACA水平和ARA阳性率升高。logistic回归模型发现,IGP31(OR=0.978)、IGP35(OR=0.803)、IGP36(OR=0.784)、IGP37(OR=0.915)和IGP38(OR=0.987)与DR的疾病进展负相关,IGP24(OR=1.039)、IGP28(OR=1.088)、IGP29(OR=1.025)、IGP32(OR=1.038)、IGP34(OR=1.108)与DR疾病进展正相关。结论 ACA、ARA和IgG N-糖基化物与视网膜病变的严重程度密切相关,可以作为预测DR的重要指标。

关键词:

糖尿病视网膜病变, 抗心磷脂抗体, 抗视网膜抗体, 免疫球蛋白G , N-糖基化物

Abstract:

Objective To explore the relationships of anticardiolipin antibody (ACA), anti-retinal antibody (ARA), and immunoglobulin G (IgG) N-glycosylates with the conditions and development in patients with diabetic retinopathy (DR). Methods Seventy-five patients with DR treated at the First Affiliated Hospital of Xi'an Jiaotong University from June 2018 to June 2019 were enrolled, including 35 patients with proliferative DR (group Ⅰ) and 40 patients with non-proliferative DR (group Ⅱ). Forty patients with diabetes mellitus and no retinopathy during the same period were selected as a control group (group Ⅲ). Forty healthy subjects taking physical examination at the First Affiliated Hospital of Xi'an Jiaotong University during the same period were selected as a healthy group (group Ⅳ). Analysis of variance and χ2 test were used to compare the general data, biochemical parameters, ACA, ARA, and IgG N-glycosylates between the 4 groups. Binary logistic regression models were used to explore the relationship between IgG N-glycosylates (IGPs) and DR progression. Results There were statistical differences in the systolic blood pressure, HbA1c, fasting blood glucose (FBG), triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) between the 4 groups (all P<0.05). The ACA level and ARA positive rate increased with the progress of DR. The logistic regression model found that IGP31 (OR=0.978), IGP35 (OR=0.803), IGP36 (OR=0.784), IGP37 (OR=0.915), and IGP38 (OR=0.987) were negatively associated with the disease progression of DR, and IGP24 (OR=1.039), IGP28 (OR=1.088), IGP29 (OR=1.025), IGP32 (OR=1.038), and IGP34 (OR=1.108) were positively associated with the disease progression of DR. Conclusion ACA, ARA, and IgG N-glycosylates are closely related to the severity of retinopathy, and can be used as important predictors of DR.

Key words:

Diabetic retinopathy, Anticardiolipin antibody, Anti-retinal antibody, Immunoglobulin G N-glycosylates