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. 2021 Sep 2;41(11):2823–2836. doi: 10.1161/ATVBAHA.120.315766

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© 2021 The Authors.

Arteriosclerosis, Thrombosis, and Vascular Biology is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made.

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

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Figure 4. — Relationships between LDL (low-density lipoprotein) aggregation susceptibility, proteoglycan-binding of plasma lipoproteins, and plasma oxidized LDL (oxLDL) concentrations, and plasma lipoprotein subclasses at baseline. A, LDL aggregation, (B) the binding of plasma lipoproteins to proteoglycans, and (C) concentrations of oxLDL in plasma were determined as described under Figure 3 and Methods. Quantitative nuclear magnetic spectroscopy metabolomics was used for the quantification of plasma lipoprotein subclasses and their components. The associations for log-transformed metabolite concentrations were analyzed using Spearman correlation coefficient analysis. In heatmaps, the positive correlations are represented with red and negative correlations with blue. Unsaturated fat, n=11; saturated fat, n=13; simple carbs, n=12. *P<0.05, **P<0.01, ***P<0.001.