Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for young hypertensive men.

ABSTRACT: The awareness, treatment, and control rates of hypertension for young adults are much lower than average. It is urgently needed to explore the variances of metabolic profiles for early diagnosis and treatment of hypertension. In current study, we applied a GC-MS based metabolomics platform coupled with a network approach to analyze plasma samples from young hypertensive men and age-matched healthy controls. Our findings confirmed distinct metabolic footprints of young hypertensive men. The significantly altered metabolites between two groups were enriched for the biological module of amino acids biosynthesis. The correlations of GC-MS metabolomics data were then visualized as networks based on Pearson correlation coefficient (threshold=0.6). The plasma metabolites identified by GC-MS and t

SUBMITTER: Wang L 

PROVIDER: S-EPMC4432937 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature