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Mendeley readers
| Title |
Hepatocytes respond differently to major dietary trans fatty acid isomers, elaidic acid and trans-vaccenic acid
|
|---|---|
| Published in |
Proteome Science, December 2015
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| DOI | 10.1186/s12953-015-0084-3 |
| Pubmed ID | |
| Authors |
Toke P. Krogager, Lone Vendel Nielsen, Derya Kahveci, Thomas F. Dyrlund, Carsten Scavenius, Kristian W. Sanggaard, Jan J. Enghild |
| Abstract |
It has been discussed if the adverse health effect associated with the ingestion of trans fatty acids correlates with the food source, as the composition of the isomers varies in different foods. We have investigated the hepatocellular responses to the predominant trans fatty acid isomers in industrially produced partially hydrogenated vegetable oils (elaidic acid) and products of ruminant origin (trans-vaccenic acid). The responses of HepG2-SF cells exposed to 100 μM fatty acids during 7 days were examined. Elaidic acid decreased the cellular proliferation rate while trans-vaccenic acid had no effect. Analysis of cellular triacylglycerol fractions showed, that both trans fatty acids were metabolized by HepG2-SF cells, although elaidic acid, to a higher degree than trans-vaccenic, accumulated in the triacylglycerol fraction. Proteome analysis revealed that the overlap of differentially regulated proteins only contained four proteins, suggesting that the two trans fatty acid isomers affect the cells in different ways. The data are available via ProteomeXchange with identifier PXD000760. Our investigations revealed that the hepatocellular response to the two most abundant dietary positional C18:1 trans fatty acid isomers differ substantially. In addition, the results suggest that trans-vaccenic acid does not affect cholesterol metabolism adversely compared to elaidic acid. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 5 | 18% |
| Student > Bachelor | 5 | 18% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 7 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Chemistry | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |