Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017, Article ID 6970631, 8 pages
https://doi.org/10.1155/2017/6970631
Review Article

Metabolomics and Cardiology: Toward the Path of Perinatal Programming and Personalized Medicine

1Department of Surgery, Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, University of Cagliari, Policlinico Universitario, Strada Statale 554, Km 4.500, Bivio di Sestu, Monserrato, 09042 Cagliari, Italy
2Department of Medical Sciences “M. Aresu”, Unit of Cardiology and Angiology, University of Cagliari, Policlinico Universitario, Strada Statale 554, Km 4.500, Bivio di Sestu, Monserrato, 09042 Cagliari, Italy

Correspondence should be addressed to Angelica Dessì; ti.liamtoh@issedacilegna

Received 3 February 2017; Revised 15 May 2017; Accepted 28 May 2017; Published 3 July 2017

Academic Editor: Peter J. Oefner

Copyright © 2017 Roberta Pintus et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Heart diseases are one of the leading causes of death in Western Countries and tend to become chronic, lowering the quality of life of the patients and ending up in a massive cost for the Health Systems and the society. Thus, there is a growing interest in finding new technologies that would allow the physician to effectively treat and prevent cardiac illnesses. Metabolomics is one of the new “omics” sciences enabling creation of a photograph of the metabolic state of an individual exposed to different environmental factors and pathologies. This review analyzed the most recent literature about this technology and its application in cardiology in order to understand the metabolic shifts that occur even before the manifestation of these pathologies to find possible early predictive biomarkers. In this way, it could be possible to find better treatments, ameliorate the patient’s quality of life, and lower the death rate. This technology seems to be so promising that several industries are trying to set up kits to immediately assess the metabolites variations in order to provide a faster diagnosis and the best treatment specific for that patient, offering a further step toward the path of the development of a tailored medicine.