Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Lipoprotein Subclasses Independently Contribute to Subclinical Variance of Microvascular and Macrovascular Health

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Shared senior authorship
Version 1 : Received: 20 June 2022 / Approved: 22 June 2022 / Online: 22 June 2022 (03:37:53 CEST)

How to cite: Streese, L.; Habisch, H.; Deiseroth, A.; Carrard, J.; Infanger, D.; Schmidt-Trucksaess, A.; Madl, T.; Hanssen, H. Lipoprotein Subclasses Independently Contribute to Subclinical Variance of Microvascular and Macrovascular Health. Preprints 2022, 2022060299. https://doi.org/10.20944/preprints202206.0299.v1 Streese, L.; Habisch, H.; Deiseroth, A.; Carrard, J.; Infanger, D.; Schmidt-Trucksaess, A.; Madl, T.; Hanssen, H. Lipoprotein Subclasses Independently Contribute to Subclinical Variance of Microvascular and Macrovascular Health. Preprints 2022, 2022060299. https://doi.org/10.20944/preprints202206.0299.v1

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 fifty-eight serum samples from the EXAMIN AGE study, consisting of healthy individuals and CV risk patients, were analyzed by 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(3,143)=8.42, p<0.001) of micro and 8% (R2=0.08, F(3,145)=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.

Keywords

cardiovascular risk; lipids; NMR spectroscopy; pulse wave velocity; retinal vessel diameters

Subject

Medicine and Pharmacology, Cardiac and Cardiovascular Systems

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