Biomedicines, Vol. 14, Pages 257: Diagnostic Potential of Metabolomic and Proteomic Biomarkers in Cardiology—A Narrative Review


Biomedicines, Vol. 14, Pages 257: Diagnostic Potential of Metabolomic and Proteomic Biomarkers in Cardiology—A Narrative Review

Biomedicines doi: 10.3390/biomedicines14020257

Authors:
Lazzat Zhussupbekova
Dinara Nurkina
Gyulnar Zhussupova
Aliya Smagulova
Venera Rakhmetova
Elmira Akhmedyarova
Aisha Darybayeva
Klara Kurmangaliyeva
Ilya Kukes

Cardiovascular disease is a major cause of death worldwide and a global socio-economic problem. To date, there are numerous studies focused on finding new biomarkers of cardiovascular diseases. High-technological methods such as mass spectrometry (MS), high-performance liquid chromatography (HPLC), and nuclear magnetic resonance (NMR) spectroscopy enable us to record thousands of metabolites of organs and tissues. Studying organisms at a molecular level contributes to an in-depth understanding of preclinical conditions of various diseases. Metabolomics reflects the dynamics of metabolism distribution, including environmental influences, allowing us to create a metabolic profile of the patient. The aim of this review was to analyze current data on metabolomic and proteomic biomarkers in the diagnosis of cardiovascular diseases. The search databases were used to select studies on the potential clinical and diagnostic application of proteomic and metabolomic markers in cardiology. The selected sources were subjected to qualitative and thematic analysis. All biomarkers were grouped according to the pathophysiological process (inflammation, blood coagulation and lipid metabolism disorders, myocardial necrosis, etc.). The association of changes in metabolomic and proteomic profiles with the activation of pathogenic processes in the cardiovascular system was demonstrated. The use of these multivariate markers, individually or in combination, will increase the accuracy of early diagnosis and the effectiveness of treatment. This article also highlights the limitations of the method and possible ways to solve them.



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Lazzat Zhussupbekova www.mdpi.com