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High-Risk Atherosclerosis and Metabolic Phenotype: The Roles of Ectopic Adiposity, Atherogenic Dyslipidemia, and Inflammation.

Authors :
Lechner, Katharina
Lechner, Katharina
McKenzie, Amy L
Kränkel, Nicolle
Von Schacky, Clemens
Worm, Nicolai
Nixdorff, Uwe
Lechner, Benjamin
Scherr, Johannes
Weingärtner, Oliver
Krauss, Ronald M
Lechner, Katharina
Lechner, Katharina
McKenzie, Amy L
Kränkel, Nicolle
Von Schacky, Clemens
Worm, Nicolai
Nixdorff, Uwe
Lechner, Benjamin
Scherr, Johannes
Weingärtner, Oliver
Krauss, Ronald M
Source :
Metabolic syndrome and related disorders; vol 18, iss 4, 176-185; 1540-4196
Publication Year :
2020

Abstract

Current algorithms for assessing risk of atherosclerotic cardiovascular disease (ASCVD) and, in particular, the reliance on low-density lipoprotein (LDL) cholesterol in conditions where this measurement is discordant with apoB and LDL-particle concentrations fail to identify a sizeable part of the population at high risk for adverse cardiovascular events. This results in missed opportunities for ASCVD prevention, most notably in those with metabolic syndrome, prediabetes, and diabetes. There is substantial evidence that accumulation of ectopic fat and associated metabolic traits are markers for and pathogenic components of high-risk atherosclerosis. Conceptually, the subset of advanced lesions in high-risk atherosclerosis that triggers vascular complications is closely related to a set of coordinated high-risk traits clustering around a distinct metabolic phenotype. A key feature of this phenotype is accumulation of ectopic fat, which, coupled with age-related muscle loss, creates a milieu conducive for the development of ASCVD: atherogenic dyslipidemia, nonresolving inflammation, endothelial dysfunction, hyperinsulinemia, and impaired fibrinolysis. Sustained vascular inflammation, a hallmark of high-risk atherosclerosis, impairs plaque stabilization in this phenotype. This review describes how metabolic and inflammatory processes that are promoted in large measure by ectopic adiposity, as opposed to subcutaneous adipose tissue, relate to the pathogenesis of high-risk atherosclerosis. Clinical biomarkers indicative of these processes provide incremental information to standard risk factor algorithms and advanced lipid testing identifies atherogenic lipoprotein patterns that are below the discrimination level of standard lipid testing. This has the potential to enable improved identification of high-risk patients who are candidates for therapeutic interventions aimed at prevention of ASCVD.

Details

Database :
OAIster
Journal :
Metabolic syndrome and related disorders; vol 18, iss 4, 176-185; 1540-4196
Notes :
application/pdf, Metabolic syndrome and related disorders vol 18, iss 4, 176-185 1540-4196
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287357398
Document Type :
Electronic Resource