Journal
JOURNAL OF PROTEOME RESEARCH
Volume 14, Issue 2, Pages 1101-1111Publisher
AMER CHEMICAL SOC
DOI: 10.1021/pr501075r
Keywords
correlation networks; blood low molecular weight metabolite; cardiovascular risk; mutual information; metabolicis systems biology/post-translational modifications; amino acids arginine
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Funding
- European Commission [312941, 305340]
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The complex nature of the mechanisms behind cardiovascular diseases prevents the detection of latent early risk conditions. Network representations are ideally suited to investigate the complex interconnections between the individual components of a biological system that underlies complex diseases. Here, we investigate the patterns of correlations of an array of 29 metabolites identified and quantified in the plasma of 864 healthy blood donors and use a systems biology approach to define metabolite probabilistic networks specific for low and high latent cardiovascular risk. We adapted methods based on the likelihood of correlation and methods from information theory and combined them with resampling techniques. Our results show that plasma metabolite networks can be defined that associate with latent cardiovascular disease risk. The analysis of the networks supports our previous finding of a possible association between cardiovascular risk and impaired mitochondrial activity and highlights post-translational modifications (glycosilation and oxidation) of lipoproteins as a possible target-mechanism for early detection of latent cardiovascular risk.
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