Familial combined hyperlipidaemia is the most common inherited hyperlipidaemia and is found in up to 10% of patients with premature myocardial infarction. The genetic and metabolic bases of the disorder have not yet been defined. This review discusses the important advances in the past year in our understanding of the different metabolic pathways contributing to the pathogenesis of familial combined hyperlipidaemia.
Familial combined hyperlipidemia (FCH) is the most common inherited hyperlipidemia in humans, affecting 1 to 3% of the adult population and up to 20% of patients with premature myocardial infarction. FCH is traditionally diagnosed by total plasma cholesterol and/or triglyceride levels above the 90th percentile adjusted for age and gender; however, the diagnosis of FCH based on these diagnostic criteria is inconsistent in 26% of the subjects over a five-year period, emphasizing the need for re-evaluation of the diagnostic criteria for FCH. Recently, a nomogram was developed based on absolute apolipoprotein B levels in combination with triglyceride and total cholesterol levels adjusted for both age and gender to simply and accurately diagnose FCH. When percentiles of triglyceride and total cholesterol adjusted for age and gender are not available in a population, the definition of FCH can be established based on hypertriglyceridemia (> 1.5 mmol/l) and hyperapoB (> 1200 mg/l). Standardized and simple diagnostic criteria are necessary to further delineate the pathogenesis of FCH. Several metabolic pathways have been suggested to be important in causing the FCH phenotype including hepatic VLDL overproduction either with or without impaired clearance of triglyceride-rich lipoproteins from plasma. The presence of insulin resistance and obesity in FCH patients further contribute to the expression of the lipidphenotype. A disturbed adipose tissue metabolism that results in an increased plasma free fatty acid pool may be the culprit in the pathogenesis of FCH.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.