Identification of a potential biomarker panel for the intake of the common dietary trans fat elaidic acid (trans∆9-C18:1).
Abstract
Trans fatty acid intake has been correlated to an unfavorable plasma lipoprotein profile and an increased cardiovascular disease risk. The present study aimed to identify a plasma protein biomarker panel related to human intake of elaidic acid. The human liver cell line HepG2-SF was used as a model system, and the cells were maintained for seven days in serum-free medium containing 100 μM elaidic acid (trans∆9-C18:1), oleic acid (cis∆9-C18:1) or stearic acid (C18:0). The secretomes were analyzed by stable isotope labeling of amino acids in cell culture (SILAC), difference in gel electrophoresis (DIGE) and gene expression microarray analysis. Twelve proteins were found to be differentially regulated based on SILAC data (>1.3 fold change, P-value<0.05), 13 proteins were found to be differentially regulated based on DIGE analysis (>1.3 fold change, P-value<0.05), and 17 mRNA transcripts encoding extracellular proteins were determined to be affected (>1.3 fold change, P-value<0.01) following the addition of elaidic acid compared to oleic acid or stearic acid. The results revealed that 37 proteins were regulated specifically in response to elaidic acid exposure, and nine of these proteins were confirmed to be regulated in this manner by using selected reaction monitoring mass spectrometry.
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Authors
Krogager TP, Nielsen LV, Bak S, Young C, Ferreri C, Jensen ON, Højrup P, Thoma V, Thøgersen IB, Enghild JJ
Institution
Center for Insoluble Protein Structure at the Department of Molecular Biology, University of Aarhus, Denmark.
Source
Journal of proteomics 75:9 2012 May 17 pg 2685-96MeSH
Biological MarkersCarbon Radioisotopes
Culture Media
Dietary Fats
Electrophoresis, Polyacrylamide Gel
Hep G2 Cells
Humans
Liver
Oleic Acid
Oligonucleotide Array Sequence Analysis
Proteins
RNA, Messenger
Stearic Acids
Tandem Mass Spectrometry
Trans Fatty Acids
Pub Type(s)
Journal ArticleResearch Support, Non-U.S. Gov't
Language
eng
PubMed ID
22483997
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