ABSTRACT
Genetic studies of metabolites have identified thousands of variants, many of which are associated with downstream metabolic and obesogenic disorders. However, these studies have relied on univariate analyses, reducing power and limiting context-specific understanding. Here we aim to provide an integrated perspective of the genetic basis of metabolites by leveraging the Finnish Metabolic Syndrome In Men (METSIM) cohort, a unique genetic resource which contains metabolic measurements, mostly lipids, across distinct time points as well as information on statin usage. We increase effective sample size by an average of two-fold by applying the Covariates for Multi-phenotype Studies (CMS) approach, identifying 588 significant SNP-metabolite associations, including 228 new associations. Our analysis pinpoints a small number of master metabolic regulator genes, balancing the relative proportion of dozens of metabolite levels. We further identify associations to changes in metabolic levels across time as well as genetic interactions with statin at both the master metabolic regulator and genome-wide level.
Subject(s)
Genetic Pleiotropy , Metabolic Syndrome/genetics , Metabolome/genetics , Aged , Amino Acids/genetics , Amino Acids/metabolism , Cohort Studies , Fatty Acids/genetics , Fatty Acids/metabolism , Gene Regulatory Networks , Genome-Wide Association Study , Humans , Lipoproteins, HDL/genetics , Lipoproteins, HDL/metabolism , Lipoproteins, IDL/genetics , Lipoproteins, IDL/metabolism , Lipoproteins, LDL/genetics , Lipoproteins, LDL/metabolism , Lipoproteins, VLDL/genetics , Lipoproteins, VLDL/metabolism , Magnetic Resonance Spectroscopy , Male , Middle Aged , Polymorphism, Single NucleotideABSTRACT
Lipoproteins, namely high-density lipoproteins (HDL), transport a wide-variety of cargo in addition to cholesterol and lipids. In 2011, HDL and low-density lipoproteins (LDL) were reported to transport microRNAs (miRNA). Since the original discovery, there has been great excitement for this topic and a handful of follow-up publications. Here, we review the current landscape of lipoprotein transport of miRNAs. HDL-miRNAs have been demonstrated to be altered in cardiovascular disease (CVD), including hypercholesterolemia and atherosclerosis. As such, HDL- and LDL-miRNAs may represent a novel class of disease biomarkers. Below, we review HDL-miR-92a and miR-486 levels in myocardial infarction and unstable angina, and HDL-miR-223 and miR-24 levels in coronary artery disease (CAD). Moreover, we address HDL's contribution to the total pool of extracellular miRNAs in plasma and differential distribution of miRNAs across HDL subspecies. Finally, we address current and future challenges for this new field and the barriers to such work. This article is part of a Special Issue entitled: MicroRNAs and lipid/energy metabolism and related diseases edited by Carlos Fernández-Hernando and Yajaira Suárez.
Subject(s)
Lipoproteins, HDL/genetics , Lipoproteins, IDL/genetics , MicroRNAs/genetics , Animals , Coronary Artery Disease/genetics , Humans , Lipid Metabolism/geneticsABSTRACT
The low density lipoprotein (LDL) receptor (LDLR) mediates efficient endocytosis of VLDL, VLDL remnants, and LDL. As part of the endocytic process, the LDLR releases lipoproteins in endosomes. The release process correlates with an acid-dependent conformational change in the receptor from an extended, "open" state to a compact, "closed" state. The closed state has an intramolecular contact involving H190, H562, and H586. The current model for lipoprotein release holds that protonation of these histidines drives the conformational change that is associated with release. We tested the roles of H190, H562, and H586 on LDLR conformation and on lipoprotein binding, uptake, and release using variants in which the three histidines were replaced with alanine (AAA variant) or in which the histidines were replaced with charged residues that can form ionic contacts at neutral pH (DRK variant). Contrary to expectation, both the AAA and the DRK variants exhibited normal acid-dependent transitions from open to closed conformations. Despite this similarity, both the AAA and DRK mutations modulated lipoprotein release, indicating that H190, H562, and H586 act subsequent to the conformational transition. These observations also suggest that the intramolecular contact does not drive release through a competitive mechanism. In support of this possibility, mutagenesis experiments showed that beta-VLDL binding was inhibited by mutations at D203 and E208, which are exposed in the closed conformation of the LDLR. We propose that H190, H562, and H586 are part of an allosteric mechanism that drives lipoprotein release.
