Does low-density lipoprotein fully explain atherosclerotic risk in familial hypercholesterolemia?

Author:

Clarke Shoa L.12

Affiliation:

1. Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine

2. Department of Pediatrics, Division of Pediatric Cardiology, Stanford University School of Medicine, Stanford, California, USA

Abstract

Purpose of review Familial hypercholesterolemia (FH) is a monogenic disorder of elevated low-density lipoprotein cholesterol (LDL-C) from birth leading to increased risk for atherosclerotic cardiovascular disease. However, not all carriers of FH variants display an FH phenotype. Despite this fact, FH variants confer increased risk for atherosclerotic disease in population cohorts. An important question to consider is whether measurements of LDL-C can fully account for this risk. Recent findings The atherosclerotic risk associated with FH variants is independent of observed adult LDL-C levels. Modeling adult longitudinal LDL-C accounts for more of this risk compared to using a single measurement. Still, even when adjusting for observed longitudinal LDL-C in adult cohorts, FH variant carriers are at increased risk for coronary artery disease. Genetic analyses, observational studies, and clinical trials all suggest that cumulative LDL-C is a critical driver of cardiovascular risk that may not be fully appreciated by routine LDL-C measurements in adulthood. As such, FH variants confer risk independent of adult LDL-C because these variants increase cumulative LDL-C exposure starting from birth. Summary Both research and clinical practice focus on LDL-C measurements in adults, but measurements during adulthood do not reflect lifelong cumulative exposure to LDL-C. Genetic assessments may compliment clinical assessments by better identifying patients who have experienced greater longitudinal LDL-C exposure.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cell Biology,Cardiology and Cardiovascular Medicine,Nutrition and Dietetics,Genetics,Molecular Biology,Endocrinology, Diabetes and Metabolism

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