Plasma amino acids spectrum and Holter ECG monitoring indexes in coronary artery disease patients with atrial fibrillation

Abstract

The research was conducted with the aim of establishing a connection between plasma amino acid peculiarities and Holter ECG monitoring indexes in Coronary Artery Disease (CAD) and Atrial Fibrillation (AF) patients. 300 patients were examined divided into 3 groups: I – 149 patients with CAD without arrhythmias, II – 124 patients with CAD and AF paroxysm, and the Control Group (CG) – 27 patients without CAD and arrhythmias. Holter ECG monitoring was performed for the patients with AF within 24 hours after sinus rhythm restoration, and for the patients without AF on the first day of observation. Plasma AA level was detected by the method of ion exchange liquid column chromatography. It was established that there is a significant increase glutamate and Branched-Chain Amino Acids (BCAA) levels in patients of the II group, and significant depletion in glycine levels comparison with the I group patients (p<0.05). In the II group patients, an increase in SupraVentricular (SVE) and Ventricular Extrasystoles (VE) was checked in comparison with the I group patients (p<0.05). Total SVE was significantly correlated with threonine (r=-0.316), serine (r=-0.336), glycine (r=-0.397), isoleucine (r=0.317), BCAA (r=0.356), and glycine+serine sum (r=-0.302), p<0.05. AF paroxysm was significantly correlated with taurine (r=-0.302), serine (r=-0.328), glycine (r=-0.311), glutamine (r=-0.304), and glycine+serine sum (r=-0.379), p<0.05. Total VE was significantly correlated with glycine (r=-0.370) and tyrosine (r=0.325), p<0.05. Changes in ST-segment were significantly correlated with tyrosine (r=0.307), phenylalanine (r=0.318), and Aromatic Amino Acids (AAA) (r=0.379), p<0.05. We concluded that glycine, serine, and BCAA are significantly correlated with cardiac arrhythmias. Changes in ST segment are significantly correlated with AAA levels. Keywords: heart rhythm violations, ischemia, arrhythmia, metabolomics.