Metabolic profiling links cardiovascular risk and vascular end organ damage

Background and aimsAn untargeted metabolomics approach allows for a better understanding identification of new candidate metabolites involved in the etiology vascular disease. We aimed to investigate associations cardiovascular (CV) risk factors with metabolic fingerprint macro- microvascular health an metabolomic predefined CV groups aged individuals.MethodsThe from 155 well-characterized (50–80 years) individuals, based on EXAMIN AGE study, were analysed. Nuclear magnetic resonance spectroscopy was used analyse fingerprint. Carotid-femoral pulse wave velocity retinal vessel diameters assessed quantify health.ResultsThe became more heterogeneous increasing number factors. There strong evidence higher levels glutamine [estimate (95% CI): −14.54 (−17.81 −11.27), p < 0.001], glycine [−5.84 (−7.88 −3.79), histidine [−0.73 (−0.96 −0.50), acetate [−1.68 (−2.91 −0.46), = 0.007] be associated lower profile. Tryptophan, however, positively [0.31 (0.06–0.56), 0.015]. The combination priori defined explained up 45.4% variation. 20% 23% variation.ConclusionsMetabolic profiling has potential improve stratification by identifying underlying pathways atherosclerotic disease development, metabolites, end organ damage.