| Title |
A lipidomic analysis approach to evaluate the response to cholesterol-lowering food intake
|
|---|---|
| Published in |
Metabolomics, December 2011
|
| DOI | 10.1007/s11306-011-0384-2 |
| Pubmed ID | |
| Authors |
Ewa Szymańska, Ferdinand A. van Dorsten, Jorne Troost, Iryna Paliukhovich, Ewoud J. J. van Velzen, Margriet M. W. B. Hendriks, Elke A. Trautwein, John P. M. van Duynhoven, Rob J. Vreeken, Age K. Smilde |
| Abstract |
Plant sterols (PS) are well known to reduce serum levels of total cholesterol and LDL-cholesterol. Lipidomics potentially provides detailed information on a wide range of individual serum lipid metabolites, which may further add to our understanding of the biological effects of PS. In this study, lipidomics analysis was applied to serum samples from a placebo-controlled, parallel human intervention study (n = 97) of 4-week consumption of two PS-enriched, yoghurt drinks differing in fat content (based on 0.1% vs. 1.5% dairy fat). A comprehensive data analysis strategy was developed and implemented to assess and compare effects of two different PS-treatments and placebo treatment. The combination of univariate and multivariate data analysis approaches allowed to show significant effects of PS intake on the serum lipidome, and helped to distinguish them from fat content and non-specific effects. The PS-enriched 0.1% dairy fat yoghurt drink had a stronger impact on the lipidome than the 1.5% dairy fat yoghurt drink, despite similar LDL-cholesterol lowering effects. The PS-enriched 0.1% dairy fat yoghurt drink reduced levels of several sphingomyelins which correlated well with the reduction in LDL-cholesterol and can be explained by co-localization of sphingomyelins and cholesterol on the surface of LDL lipoprotein. Statistically significant reductions in serum levels of two lysophosphatidylcholines (LPC(16:1), LPC(20:1)) and cholesteryl arachidonate may suggest reduced inflammation and atherogenic potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-011-0384-2) contains supplementary material, which is available to authorized users. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Denmark | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 74 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 33% |
| Student > Ph. D. Student | 16 | 20% |
| Student > Master | 10 | 13% |
| Other | 5 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 29% |
| Chemistry | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Medicine and Dentistry | 5 | 6% |
| Engineering | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 14 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2012.
All research outputs
#15,253,344
of 22,681,577 outputs
Outputs from Metabolomics
#900
of 1,288 outputs
Outputs of similar age
#162,731
of 240,871 outputs
Outputs of similar age from Metabolomics
#3
of 4 outputs
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