Imperial College London
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DrIbrahimKaraman

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 3281i.karaman Website

 
 
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Location

 

155Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Neeland:2019:10.1161/JAHA.118.010810,
author = {Neeland, IJ and Boone, SC and Mook-Kanamori, DO and Ayers, C and Smit, RAJ and Tzoulaki, I and Karaman, I and Boulange, C and Vaidya, D and Punjabi, N and Allison, M and Herrington, DM and Jukema, JW and Rosendaal, FR and Lamb, HJ and van, Dijk KW and Greenland, P and de, Mutsert R},
doi = {10.1161/JAHA.118.010810},
journal = {Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease},
title = {Metabolomics profiling of visceral adipose tissue: Results From MESA and the NEO study},
url = {http://dx.doi.org/10.1161/JAHA.118.010810},
volume = {8},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background Identifying associations between serum metabolites and visceral adipose tissue ( VAT ) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity-related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT . Methods and Results Associations between fasting serum metabolites and VAT area (by computed tomography or magnetic resonance imaging) were assessed with cross-sectional linear regression of individual-level data from participants in MESA (Multi-Ethnic Study of Atherosclerosis; discovery, N=1103) and the NEO (Netherlands Epidemiology of Obesity) study (replication, N=2537). Untargeted 1H nuclear magnetic resonance metabolomics profiling of serum was performed in MESA, and metabolites were replicated in the NEO study using targeted 1H nuclear magnetic resonance spectroscopy. A total of 30 590 metabolomic spectral variables were evaluated. After adjustment for age, sex, race/ethnicity, socioeconomic status, smoking, physical activity, glucose/lipid-lowering medication, and body mass index, 2104 variables representing 24 nonlipid and 49 lipid/lipoprotein subclass metabolites remained significantly associated with VAT ( P=4.88×10-20-1.16×10-3). These included conventional metabolites, amino acids, acetylglycoproteins, intermediates of glucose and hepatic metabolism, organic acids, and subclasses of apolipoproteins, cholesterol, phospholipids, and triglycerides. Metabolites mapped to 31 biochemical pathways, including amino acid substrate use/metabolism and glycolysis/gluconeogenesis. In the replication cohort, acetylglycoproteins, branched-chain amino acids, lactate, glutamine (inversely), and atherogenic lipids remained associated with VAT ( P=1.90×10-35-8.46×10-7), with most associations remaining after additional adjustment for surrogates of VAT (glucose level, waist circumference, and serum triglycerides), reflecting novel independent associations. Conclusion
AU  - Neeland,IJ
AU  - Boone,SC
AU  - Mook-Kanamori,DO
AU  - Ayers,C
AU  - Smit,RAJ
AU  - Tzoulaki,I
AU  - Karaman,I
AU  - Boulange,C
AU  - Vaidya,D
AU  - Punjabi,N
AU  - Allison,M
AU  - Herrington,DM
AU  - Jukema,JW
AU  - Rosendaal,FR
AU  - Lamb,HJ
AU  - van,Dijk KW
AU  - Greenland,P
AU  - de,Mutsert R
DO  - 10.1161/JAHA.118.010810
PY  - 2019///
SN  - 2047-9980
TI  - Metabolomics profiling of visceral adipose tissue: Results From MESA and the NEO study
T2  - Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease
UR  - http://dx.doi.org/10.1161/JAHA.118.010810
UR  - https://www.ncbi.nlm.nih.gov/pubmed/31017036
UR  - http://hdl.handle.net/10044/1/70041
VL  - 8
ER  -
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