Imperial College London
Portrait Picture

Professor Marc-Emmanuel Dumas

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Systems Medicine
 
 
 
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Contact

 

+44 (0)20 7594 1820m.dumas Website

 
 
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Assistant

 

Mrs Patricia Murphy +44 (0)20 7594 1603

 
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Location

 

E315BBurlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zalloua:2019:10.1186/s12944-018-0948-5,
author = {Zalloua, P and Kadar, H and Hariri, E and Farraj, LA and Brial, F and Hedjazi, L and Le, Lay A and Colleu, A and Dubus, J and Touboul, D and Matsuda, F and Lathrop, M and Nicholson, JK and Dumas, M-E and Gauguier, D},
doi = {10.1186/s12944-018-0948-5},
journal = {Lipids in Health and Disease},
title = {Untargeted mass spectrometry lipidomics identifies correlation between serum sphingomyelins and plasma cholesterol},
url = {http://dx.doi.org/10.1186/s12944-018-0948-5},
volume = {18},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundLipoproteins are major players in the development and progression of atherosclerotic plaques leading to coronary stenosis and myocardial infarction. Epidemiological, genetic and experimental observations have implicated the association of sphingolipids and intermediates of sphingolipid synthesis in atherosclerosis. We aimed to investigate relationships between quantitative changes in serum sphingolipids, the regulation of the metabolism of lipoproteins (LDL, HDL), and endophenotypes of coronary artery disease (CAD).MethodsWe carried out untargeted liquid chromatography – mass spectrometry (UPLC-MS) lipidomics of serum samples of subjects belonging to a cross-sectional study and recruited on the basis of absence or presence of angiographically-defined CAD, and extensively characterized for clinical and biochemical phenotypes.ResultsAmong the 2998 spectral features detected in the serum samples, 1328 metabolic features were significantly correlated with at least one of the clinical or biochemical phenotypes measured in the cohort. We found evidence of significant associations between 34 metabolite signals, corresponding to a set of sphingomyelins, and serum HDL cholesterol. Many of these metabolite associations were also observed with serum LDL and total cholesterol levels but not as much with serum triglycerides.ConclusionAmong patients with CAD, sphingolipids in the form of sphingomyelins are directly correlated with serum levels of lipoproteins and total cholesterol. Results from this study support the fundamental role of sphingolipids in modulating lipid serum levels, highlighting the importance to identify novel targets in the sphingolipid metabolic pathway for anti-atherogenic therapies.
AU  - Zalloua,P
AU  - Kadar,H
AU  - Hariri,E
AU  - Farraj,LA
AU  - Brial,F
AU  - Hedjazi,L
AU  - Le,Lay A
AU  - Colleu,A
AU  - Dubus,J
AU  - Touboul,D
AU  - Matsuda,F
AU  - Lathrop,M
AU  - Nicholson,JK
AU  - Dumas,M-E
AU  - Gauguier,D
DO  - 10.1186/s12944-018-0948-5
PY  - 2019///
SN  - 1476-511X
TI  - Untargeted mass spectrometry lipidomics identifies correlation between serum sphingomyelins and plasma cholesterol
T2  - Lipids in Health and Disease
UR  - http://dx.doi.org/10.1186/s12944-018-0948-5
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000457548600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/68186
VL  - 18
ER  -
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