ArticleDiabetology & metabolic syndrome2026
Association between diabetes and elevated circulating advanced oxidation protein products: a comprehensive systematic review and meta-analysis.
Article in Diabetology & metabolic syndrome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundOxidative stress is a central feature of the metabolic disturbances observed in diabetes, often leading to cellular and molecular damage. Advanced oxidation protein products (AOPPs), formed during oxidative modification of plasma proteins, have been proposed as biomarkers of systemic oxidative stress. Despite increasing interest, the relationship between these markers and diabetes remains inconclusive. This study aimed to systematically evaluate and quantify differences in circulating AOPPs levels in diabetes.
methodsA systematic review and meta-analysis was performed in accordance with PRISMA guidelines. Searches were conducted across PubMed, Scopus, Embase and Web of Science databases up to March 2025 to identify relevant observational studies involving adults aged 18 years or older. Studies were included if they reported circulating levels of AOPPs in individuals with type 1 diabetes (T1DM), type 2 diabetes (T2DM), or impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), compared to non-diabetic controls. Data extraction and quality assessment were conducted independently by two reviewers, and a random-effects model was used for meta-analysis.
resultsSixteen eligible articles with twenty individual studies were identified, encompassing diverse populations and diabetes subtypes. The meta-analysis demonstrated significantly elevated circulating AOPPs in both T
conclusionElevated levels of AOPPs appear to be associated with diabetes, supporting the role of oxidative stress in its pathophysiology. Although pooled analyses demonstrated significantly higher circulating AOPP concentrations in patients with diabetes mellitus, substantial between-study heterogeneity and wide prediction intervals suggest that the magnitude and consistency of this association may vary across different populations and study settings. Also, the observational design of included studies limits the strength and generalizability of the pooled estimates. Therefore, causal inferences cannot be drawn, and further well-designed prospective research is warranted to clarify whether these biomarkers can reliably predict the onset or progression of diabetes. PROSPERO REGISTRATION NUMBER: CRD420251275798.
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