» Articles » PMID: 40087480

Apolipoprotein and Menopausal Status Are Significant Influencing Factors for Diabetic Retinopathy in Type II Diabetes Mellitus Women

Overview
Journal Sci Rep
Specialty Science
Date 2025 Mar 15
PMID 40087480
Authors
Affiliations
Soon will be listed here.
Abstract

Diabetic retinopathy (DR) is a common complication of type II diabetes mellitus (T2DM) and a leading cause of blindness in the working population. Apolipoprotein levels have been reported to be associated with the risk of DR. This study aimed to develop a predictive model for DR based on apolipoproteins (apoA and apoB) and menopausal status in Chinese Han women with T2DM and to evaluate the model's effectiveness. Data from 2339 T2DM women were collected between January 2018 and June 2022. Multilevel regression was used to explore the independent effect of apolipoproteins and interaction between apolipoproteins and menopausal status on DR and proliferative diabetic retinopathy (PDR). Receiver operating characteristic (ROC) analysis was performed to compare the fitting degree and predictive efficiency of different models. Results showed that both apoA and apoB were independent influencing factors for DR and PDR and interacted significantly with menopausal status. The interaction between apoA and menopausal status had a protective effect on DR [OR (95% CI) = 0.925 (0.858-0.996), P = 0.040] and PDR [OR (95% CI) = 0.937 (0.895-0.981), P = 0.006]. In contrast, the interaction between apoB and menopausal status was a risk factor for DR [OR (95% CI) = 1.684 (1.141-2.379), P = 0.008)] and PDR [OR (95% CI) = 3.377 (1.148-9.937), P = 0.027]. ROC analysis demonstrated that the interaction model outperformed models without interaction terms (P < 0.01). The area under the curve for the interaction model was 0.879 (95% CI 0.864-0.893) for DR and 0.930 (95% CI 0.915-0.945) for PDR. These findings suggest that the interaction model is highly efficient in predicting DR, particularly PDR, in Chinese Han women with T2DM.

References
1.
Zhuang X, Cao D, Yang D, Zeng Y, Yu H, Wang J . Association of diabetic retinopathy and diabetic macular oedema with renal function in southern Chinese patients with type 2 diabetes mellitus: a single-centre observational study. BMJ Open. 2019; 9(9):e031194. PMC: 6731866. DOI: 10.1136/bmjopen-2019-031194. View

2.
Pei X, Yao X, Yang Y, Zhang H, Xia M, Huang R . Efficacy of artificial intelligence-based screening for diabetic retinopathy in type 2 diabetes mellitus patients. Diabetes Res Clin Pract. 2022; 184:109190. DOI: 10.1016/j.diabres.2022.109190. View

3.
Zhou Y, Wang C, Shi K, Yin X . Relationship between dyslipidemia and diabetic retinopathy: A systematic review and meta-analysis. Medicine (Baltimore). 2018; 97(36):e12283. PMC: 6133445. DOI: 10.1097/MD.0000000000012283. View

4.
Yin L, Zhang D, Ren Q, Su X, Sun Z . Prevalence and risk factors of diabetic retinopathy in diabetic patients: A community based cross-sectional study. Medicine (Baltimore). 2020; 99(9):e19236. PMC: 7478682. DOI: 10.1097/MD.0000000000019236. View

5.
Yao X, Pei X, Yang Y, Zhang H, Xia M, Huang R . Distribution of diabetic retinopathy in diabetes mellitus patients and its association rules with other eye diseases. Sci Rep. 2021; 11(1):16993. PMC: 8379227. DOI: 10.1038/s41598-021-96438-w. View