Dataset Information

Probabilistic networks of blood metabolites in healthy subjects as indicators of latent cardiovascular risk

ABSTRACT: 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 underlying 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.

INSTRUMENT(S): Bruker

SUBMITTER: Claudio Santucci

PROVIDER: MTBLS147 | MetaboLights | 2015-01-01

REPOSITORIES: MetaboLights

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Dataset's files

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			Action	DRS
	MTBLS147	Other
	FILES	Other
	a_MTBLS147_avis_2_metabolite_profiling_NMR_spectroscopy.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS147_avis_2_metabolite_profiling_NMR_spectroscopy_v2_maf.tsv	Tabular

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Publications

Probabilistic networks of blood metabolites in healthy subjects as indicators of latent cardiovascular risk.

Saccenti Edoardo E Suarez-Diez Maria M Luchinat Claudio C Santucci Claudio C Tenori Leonardo L

Journal of proteome research 20141208 2

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 metabo ...[more]

PMID: 25428344

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