Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes

Abstract

BackgroundEvidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14–16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined offer unique opportunities to address this challenge.MethodsWe compared metabolite profiles in patients with congenital lipodystrophy or loss-of-function insulin resistance (INSR gene) mutations with healthy controls.ResultsThe absence of significant differences in triacylglycerol species in the INSR group suggest that changes previously observed in epidemiological studies are not purely a consequence of insulin resistance. The presence of triacylglycerols with lower carbon numbers and high saturation in patients with lipodystrophy suggests that these metabolite changes may be associated with primary adipose tissue dysfunction. The observed pattern of triacylglycerol species is indicative of increased de novo lipogenesis in the liver. To test this we investigated the distribution of these triacylglycerols in lipoprotein fractions using size exclusion chromatography prior to mass spectrometry. This associated these triacylglycerols with very low-density lipoprotein particles, and hence release of triacylglycerols into the blood from the liver. To test further the hepatic origin of these triacylglycerols we induced de novo lipogenesis in the mouse, comparing ob/ob and wild-type mice on a chow or high fat diet, confirming that de novo lipogenesis induced an increase in relatively shorter, more saturated fatty acids.ConclusionsOverall, these studies highlight hepatic de novo lipogenesis in the pathogenesis of metabolic dyslipidaemia in states where energy intake exceeds the capacity of adipose tissue.Electronic supplementary materialThe online version of this article (doi:10.1186/s13073-015-0179-6) contains supplementary material, which is available to authorized users.

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“…Metabolomics, proteomics, and lipidomics are also delivering in terms of translational medicine. For example, Eiden and colleagues [ 28 ] used LC-MS-based lipidomics to identify biomarkers associated with a failure of adipose tissue function in lipodystrophic patients. They identified a characteristic alteration in triglyceride profiles caused by increased de novo lipogenesis in the liver as a consequence of ectopic fat deposition which may be applicable to identifying those with fatty liver in the general population.…”