Adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E gene polymorphisms for Alzheimer′s disease
10.3760/cma.j.cn115624-20241025-00850
- VernacularTitle:视网膜影像结构参数联合载脂蛋白E基因多态性对阿尔茨海默病的辅助诊断价值
- Author:
Huiwang ZHANG
1
;
Juan JIANG
;
Huixian XIONG
;
Qinchuan HOU
;
Yongli LAN
;
Mo ZHANG
;
Peiyuan HE
;
Wei PU
;
Huili LIU
;
Xiao XIAO
;
Jun XIAO
;
Yuping LIU
;
Ping SHUAI
Author Information
1. 四川省医学科学院·四川省人民医院（电子科技大学附属医院）健康管理中心，成都 610072
- Publication Type:Journal Article
- Keywords:
Alzheimer′s disease;
Apolipoprotein E gene;
Retinal imaging structural parameters;
Risk assessment models
- From:
Chinese Journal of Health Management
2025;19(8):590-596
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E (ApoE) gene polymorphisms for Alzheimer′s disease (AD).Methods:It was a case-control study, 71 confirmed AD patients who attended the Department of Neurology in Sichuan Provincial People′s Hospital from May 2023 to June 2024 and 156 healthy medical checkups who participated in medical checkups in the Health Management Center were continuously with convenience sampling method; the subjects were included as the AD case group and healthy control group, respectively. Optical coherence tomography (OCT) was used to measure the structural parameters of retinal imaging such as the thickness of the retinal nerve fiber layer (RNFL) and the retinal nerve fiber layer-inner plexiform layer (RNFL-IPL) in the study subjects. Information on demographic characteristics and disease history of the study participants were collected through a questionnaire, and venous blood was collected to test for ApoE gene polymorphisms. The retinal imaging structural parameters, ApoE gene polymorphisms and other related indicators were included in a multifactorial logistic regression model to analyze the main factors affecting the risk of AD. Based on the results of the multifactorial analysis, the receiver operating characteristic (ROC) curves were plotted and the areas under the curve (AUC) were calculated to evaluate the efficacy of different models in the adjunctive diagnosis of AD.Results:Of the 227 study subjects included in the analysis, 153 were females and 74 were males; there were 71 cases in the AD case group with a mean age of (66.73±8.83) years, and there were 156 subjects in the healthy control group with an average age of (61.95±8.21) years. Educational attainment of elementary school and below ( OR=4.683, 95% CI: 2.133-10.282), living visual acuity<0.5 ( OR=2.716, 95% CI: 1.12-6.583), and carrying ≥1 ApoE ε4 genes ( OR=5.331, 95% CI: 2.309-11.891) were positively correlated with the risk of AD. RNFL thickening ( OR=0.923, 95% CI: 0.854-0.998) was negatively associated with the risk of AD (all P<0.05). The AD risk assessment model (Model 4), which included fundus imaging features and ApoE gene polymorphisms, had the highest predictive efficacy (AUC=0.857, P<0.001). Conclusion:Retinal imaging structural parameters differ significantly between AD patients and healthy examinees, and a risk assessment model combining retinal imaging structural parameters and ApoE gene polymorphisms has high predictive value and is expected to serve as an auxiliary diagnostic tool for AD.
