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

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          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.

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          Most cited references29

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          Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure: diagnostic and prognostic value of metabolomics.

          Identification of novel biomarkers is needed to improve the diagnosis and prognosis of heart failure (HF). Metabolic disturbance is remarkable in patients with HF.
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            The Emerging Role of Metabolomics in the Diagnosis and Prognosis of Cardiovascular Disease.

            Perturbations in cardiac energy metabolism are major contributors to a number of cardiovascular pathologies. In addition, comorbidities associated with cardiovascular disease (CVD) can alter systemic and myocardial metabolism, often contributing to the worsening of cardiac function and health outcomes. State-of-the-art metabolomic technologies give us the ability to measure thousands of metabolites in biological fluids or biopsies, providing us with a metabolic fingerprint of individual patients. These metabolic profiles may serve as diagnostic and/or prognostic tools that have the potential to significantly alter the management of CVD. Herein, the authors review how metabolomics can assist in the interpretation of perturbed metabolic processes, and how this has improved our ability to understand the pathology of ischemic heart disease, atherosclerosis, and heart failure. Taken together, the integration of metabolomics with other "omics" platforms will allow us to gain insight into pathophysiological interactions of metabolites, proteins, genes, and disease states, while advancing personalized medicine.
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              Metabolic fingerprinting as a diagnostic tool.

              Within the framework of systems biology, functional analyses at all 'omic levels have seen an intense level of activity during the first decade of the twenty-first century. These include genomics, transcriptomics, proteomics, metabolomics and lipidomics. It could be said that metabolomics offers some unique advantages over the other 'omics disciplines and one of the core approaches of metabolomics for disease diagnostics is metabolic fingerprinting. This review provides an overview of the main metabolic fingerprinting approaches used for disease diagnostics and includes: infrared and Raman spectroscopy, Nuclear magnetic resonance (NMR) spectroscopy, followed by an introduction to a wide range of novel mass spectrometry-based methods, which are currently under intense investigation and developmental activity in laboratories worldwide. It is hoped that this review will act as a springboard for researchers and clinicians across a wide range of disciplines in this exciting era of multidisciplinary and novel approaches to disease diagnostics.
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                Author and article information

                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi
                2314-6133
                2314-6141
                2017
                3 July 2017
                : 2017
                : 6970631
                Affiliations
                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
                Author notes

                Academic Editor: Peter J. Oefner

                Author information
                http://orcid.org/0000-0002-8374-0260
                http://orcid.org/0000-0002-1154-2118
                http://orcid.org/0000-0002-3725-7614
                Article
                10.1155/2017/6970631
                5512040
                d06a606d-2edd-4e10-9b83-2ac60aa5eb6d
                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.

                History
                : 3 February 2017
                : 15 May 2017
                : 28 May 2017
                Categories
                Review Article

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