Prediction of non-alcoholic fatty-liver disease and liver fat content by serum molecular lipids

Abstract

Aims/hypothesis

We examined whether analysis of lipids by ultra-performance liquid chromatography (UPLC) coupled to MS allows the development of a laboratory test for non-alcoholic fatty-liver disease (NAFLD), and how a lipid-profile biomarker compares with the prediction of NAFLD and liver-fat content based on routinely available clinical and laboratory data.

Methods

We analysed the concentrations of molecular lipids by UPLC-MS in blood samples of 679 well-characterised individuals in whom liver-fat content was measured using proton magnetic resonance spectroscopy ( ¹H-MRS) or liver biopsy. The participants were divided into biomarker-discovery ( n = 287) and validation ( n = 392) groups to build and validate the diagnostic models, respectively.

Results

Individuals with NAFLD had increased triacylglycerols with low carbon number and double-bond content while lysophosphatidylcholines and ether phospholipids were diminished in those with NAFLD. A serum-lipid signature comprising three molecular lipids (‘lipid triplet’) was developed to estimate the percentage of liver fat. It had a sensitivity of 69.1% and specificity of 73.8% when applied for diagnosis of NAFLD in the validation series. The usefulness of the lipid triplet was demonstrated in a weight-loss intervention study.

Conclusions/interpretation

The liver-fat-biomarker signature based on molecular lipids may provide a non-invasive tool to diagnose NAFLD, in addition to highlighting lipid molecular pathways involved in the disease.

Electronic supplementary material

The online version of this article (doi:10.1007/s00125-013-2981-2) contains peer-reviewed but unedited supplementary material, which is available to authorised users.