|
Title
|
|
|
|
Prediction of non-alcoholic fatty-liver disease and liver fat content by serum molecular lipids
|
|
|
Author
|
|
|
|
|
|
|
Abstract
|
|
|
|
| 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. 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 (H-1-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. 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. 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. |
|
|
|
Language
|
|
|
|
English
|
|
|
Source (journal)
|
|
|
|
Diabetologia / European Association for the Study of Diabetes. - Berlin, 1965, currens
|
|
|
Publication
|
|
|
|
Berlin
:
2013
|
|
|
ISSN
|
|
|
|
0012-186X
[print]
1432-0428
[online]
|
|
|
DOI
|
|
|
|
10.1007/S00125-013-2981-2
|
|
|
Volume/pages
|
|
|
|
56
:10
(2013)
, p. 2266-2274
|
|
|
ISI
|
|
|
|
000324062800021
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|
|
Full text (open access)
|
|
|
|
|
|