Metabolomics biomarkers in association with nutritional interventions in cardiovascular disease
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Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
Biomic_AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Aristotle University of Thessaloniki, Thessaloniki, Greece
First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
Laboratory of Analytical Chemistry, Department of Physical, Analytical and Environmental Chemistry, School of Chemistry, Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
Publication date: 2022-05-27
Public Health Toxicol 2022;2(Supplement Supplement 1):A66
By quantifying a wide range of small polar metabolites through advanced analytical techniques, metabolomics can shed light on several metabolic alterations in response to both normal and pathological conditions. Hence, metabolomics-based studies seem to hold the promise of precision and personalized medicine. The identification of specific cardiovascular disease targets could also help in evaluating the efficacy of nutritional interventions;adopting health-promoting dietary habits and lifestyle changes mightlower the risk of traditional and emerging cardiovascular risk factors1. Within the context of the CorLipidstudy,various food intake patterns have been associated with different severity, progressionand prognosis of coronary artery disease as revealed through SYNTAX score evaluation, assessment of several cardiometabolic markers and 3-year patient follow-up2.Specifically, vegetarian-based diet has been linked with higher survivalrates among patients sufferingfrom unstable angina pectoris. Some of the studied acylcarnitines and ceramides species have been also significantly, yet weakly, correlated with specific nutritional patterns. Moreover, several metabolomics biomarkers seem to exert substantial prognostic impact in patients with comorbid diabetes mellitus. In conclusion, modern and sensitive analytical platforms could support future endeavors to offer tailored and precise nutritional interventions from a both translational and clinical end, thereby paving the way to precision metabolomics-based clinical nutrition3.
This research has been co‐financed by the European Regional DevelopmentFund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH–CREATE–INNOVATE(project code: T1EDK‐04005).
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