ArticleMolecules (Basel, Switzerland)2022
Lipoprotein Subclasses Independently Contribute to Subclinical Variance of Microvascular and Macrovascular Health.
Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Effect of high-fat diet and morning or evening exercise on lipoprotein subfraction profiles: secondary analysis of a randomised trial.Scientific reports · 2023Trial
- Quantitative 1H-NMR spectroscopy identifies metabolites and lipoprotein subclasses associated with intermediate phenotypes of chronic diseases in the Japanese Nagahama Study.Scientific reports · 2025Article
- Depletion of Small HDL Subclasses Predicts Poor Survival in Liver Cirrhosis.Antioxidants (Basel, Switzerland) · 2025Article
- Association of Small HDL Subclasses with Mortality Risk in Chronic Kidney Disease.Antioxidants (Basel, Switzerland) · 2024Article
- HDL-Related Parameters and COVID-19 Mortality: The Importance of HDL Function.Antioxidants (Basel, Switzerland) · 2023Article
- Inflammation and Oxidative Stress Induced by Obesity, Gestational Diabetes, and Preeclampsia in Pregnancy: Role of High-Density Lipoproteins as Vectors for Bioactive Compounds.Antioxidants (Basel, Switzerland) · 2023Review
- A Current Update on the Role of HDL-Based Nanomedicine in Targeting Macrophages in Cardiovascular Disease.Pharmaceutics · 2023Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Lipoproteins are important cardiovascular (CV) risk biomarkers. This study aimed to investigate the associations of lipoprotein subclasses with micro- and macrovascular biomarkers to better understand how these subclasses relate to atherosclerotic CV diseases. One hundred and fifty-eight serum samples from the EXAMIN AGE study, consisting of healthy individuals and CV risk patients, were analysed with nuclear magnetic resonance (NMR) spectroscopy to quantify lipoprotein subclasses. Microvascular health was quantified by measuring retinal arteriolar and venular diameters. Macrovascular health was quantified by measuring carotid-to-femoral pulse wave velocity (PWV). Nineteen lipoprotein subclasses showed statistically significant associations with retinal vessel diameters and nine with PWV. These lipoprotein subclasses together explained up to 26% of variation (R2 = 0.26, F(29,121) = 2.80, p < 0.001) in micro- and 12% (R2 = 0.12, F(29,124) = 1.70, p = 0.025) of variation in macrovascular health. High-density (HDL-C) and low-density lipoprotein cholesterol (LDL-C) as well as triglycerides together explained up to 13% (R2 = 0.13, F(3143) = 8.42, p < 0.001) of micro- and 8% (R2 = 0.08, F(3145) = 5.46, p = 0.001) of macrovascular variation. Lipoprotein subclasses seem to reflect micro- and macrovascular end organ damage more precisely as compared to only measuring HDL-C, LDL-C and triglycerides. Further studies are needed to analyse how the additional quantification of lipoprotein subclasses can improve CV risk stratification and CV disease prediction.
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