ArticleNutrients2022
Predictive Value of the Advanced Lipoprotein Profile and Glycated Proteins on Diabetic Retinopathy.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 9 citations in OpenAlex.
- Metabolomic signatures of glycemic control in type 1 diabetes: insights from continuous glucose monitoring.Journal of endocrinological investigation · 2026Article
- Body roundness index mediates the association between high-density lipoprotein cholesterol and diabetic retinopathy: a population-based cross-sectional study.BMC endocrine disorders · 2026Article
- Study on the construction of a risk assessment model for type 2 diabetes complications based on GlycA and HDL1-TC.Frontiers in endocrinology · 2026Article
- Progressive gut microbiota shifts and functional alterations across aging stages and frailty in mice.iScience · 2025Article
- Metabolic Dysfunction-Associated Steatotic Liver Disease: From a Very Low-Density Lipoprotein Perspective.Biomolecules · 2025Review
- Lipid Metabolism and Relevance to Chronic Disease.Nutrients · 2025Article
- Unveiling Silent Atherosclerosis in Type 1 Diabetes: The Role of Glycoprotein and Lipoprotein Lipidomics, and Cardiac Autonomic Neuropathy.Metabolites · 2025Article
- Association between dietary niacin intake and diabetic retinopathy in a Catalonian population: a cross-sectional study.Frontiers in nutrition · 2025Article
- Quantification of lipoproteins by proton nuclear magnetic resonance spectroscopy (Journal of endocrinological investigation · 2024Article
- Association of Advanced Lipoprotein Subpopulation Profiles with Insulin Resistance and Inflammation in Patients with Type 2 Diabetes Mellitus.Journal of clinical medicine · 2023Article
- Serum VEGF, high-sensitivity CRP, and cystatin-C assist in the diagnosis of type 2 diabetic retinopathy complicated with hyperuricemia.Open medicine (Warsaw, Poland) · 2023Article
Corrections and comments
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Authors and funding
11 authors at 9 institutions in 2 countries.
Funding
Abstract
This study aimed to assess whether the advanced characteristics of serum lipoprotein subclasses could better predict the risk of developing diabetic retinopathy (DR) and its severity compared to other established risk factors in subjects with type 1 (T1D) and type 2 (T2D) diabetes. This observational, cross-sectional substudy analyzed DR-related data from 309 T1D and 264 T2D subjects. The advanced lipoprotein and glycoprotein profile was determined by nuclear magnetic resonance (NMR) spectroscopy (Liposcale test). NMR analysis of lipoproteins revealed that T1D subjects with DR showed standard non-HDL particles, despite higher IDL lipid concentrations. Notably, IDL lipids were elevated in T1D subjects with worsened DR. VLDL and LDL were smaller, whereas HDL triglycerides were increased in DR compared with non-DR. On the other hand, the T2D subjects with DR showed altered characteristics in the LDL fraction, mainly revealed by a significant decrease in smaller LDL and a reduction in LDL-C. Moreover, the glycoprotein profile did not reveal significant changes among DR groups, regardless of the type of diabetes. However, lipoprotein characteristics and glycoproteins unveiled by NMR analysis did not improve the predictive value of conventional lipids or other traditional, well-established biomarkers of DR in our cohorts.
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