Improving metabolite knowledge in stable atherosclerosis patients by association and correlation of GC-MS and 1H NMR fingerprints

Metabolomic profiling for identification of novel potential biomarkers in cardiovascular diseases

Metabolomics involves the identification and quantification of metabolites present in a biological system. Three different approaches can be used: metabolomic fingerprinting, metabolic profiling, and metabolic footprinting, in order to evaluate the clinical course of a disease, patient recovery, changes in response to surgical intervention or pharmacological treatment, as well as other associated features. Characteristic patterns of metabolites can be revealed that broaden our understanding of a particular disorder. In the present paper, common strategies and analytical techniques used in metabolomic studies are reviewed, particularly with reference to the cardiovascular field.

Proteomic and metabolomic profiles in atherothrombotic vascular disease

Atherothrombosis remains a major cause of morbidity and mortality in the western world. The underlying processes associated with clinical expression of atherothrombosis include oxidative stress and proteolysis in relation to neovascularisation and intraplaque hemorrhages, leading to immuno-inflammatory response, cell death, and extracellular matrix breakdown. The complex biological multifactorial nature of atherothrombosis requires the development of novel technologies that allow the analysis of cellular and molecular processes responsible for the transition to disease phenotypes and the discovery of new diagnostic and prognostic biomarkers. In the present article, we have reviewed recent advances in the application of proteomic and metabolomic techniques to the study of atherothrombosis. We have focused on recent studies analyzing cells involved in hemo-thrombus formation (platelets, red blood cells, and polymorphonuclear cells), as well as tissues, tissue-conditioned media, and plasma of atherothrombotic patients. In the future, the application of these high-throughput technologies, along with imaging techniques, in systems biology approaches will help to individualize medicine.