Study on the Correlation Between GDF-15 Levels and a Diagnostic Model for Diabetic Retinopathy

Area of Science:

• Ophthalmology
• Endocrinology
• Biomarker Research

Background:

• Diabetic retinopathy (DR) affects one-third of individuals with diabetes, posing a significant vision threat.
• Inflammation-related biomarkers and cytokines are increasingly recognized for their roles in DR pathogenesis.
• Understanding DR risk factors and developing predictive tools are crucial for early intervention.

Purpose of the Study:

• To investigate the association between Growth Differentiation Factor-15 (GDF-15) and diabetic retinopathy (DR) risk in Handan, China.
• To develop a predictive model for DR risk utilizing clinical characteristics and GDF-15 levels.
• To explore GDF-15 distribution across diabetic patients with and without DR, and healthy controls.

Main Methods:

• A case-control study involving 74 patients without DR (NDR), 79 with DR, and 17 healthy controls (CG).
• Logistic regression analysis was employed to select significant variables and construct a predictive model for DR risk.
• Clinical data, including biochemical markers and GDF-15 levels, were collected and analyzed.

Main Results:

• Patients with DR exhibited significantly higher levels of GDF-15 compared to the NDR group.
• A logistic regression model incorporating GDF-15 and other clinical factors (ALB, ApoA-1, CO2, DvT, 2h-CP) achieved a high predictive accuracy of 0.936.
• GDF-15 levels increased progressively with diabetes severity, being highest in the DR group.

Conclusions:

• Elevated GDF-15 levels are significantly associated with the presence and progression of diabetic retinopathy.
• The developed logistic regression model demonstrates strong predictive value for DR, highlighting GDF-15 as a potential biomarker.
• GDF-15 holds promise for the early diagnosis and intervention strategies in diabetic retinopathy.