Study of the metabolome features of patients with COVID-19

Abstract

Aim. To analyze the metabolomic profile of patients with coronavirus disease 2019 (COVID-19) using mass spectrometry methods and taking into account clinical and laboratory history. Studying the relationship between the severity of COVID-19 symptoms and the concentration of primary metabolites, primarily amino acids.Material and methods. The retrospective study included serum samples from a total of 935 people (445 men and 490 women) with COVID-19 from the collection of the biobank of the City Hospital № 40. A metabolomic profile was studied in all samples using chromatography-mass spectrometry. The R language was used for statistical data processing.Results. Based on the analysis, a difference in the metabolic profile of patients with COVID-19 was identified depending on the disease severity — for 52 of the 84 detected compounds, differences were observed with a significance of p<0,01. Significant differences in concentration were recorded for organic acids, amino acids and their derivatives.Conclusion. Using samples from the biobank collection, a metabolomic study of the biomaterial of patients hospitalized with a diagnosis of COVID-19 was carried out. According to the results obtained, kynurenine, phenylalanine and acetylcarnitine are associated with COVID-19 severity. Differences in the metabolomic profile were identified in patients with cytokine storm at the time of blood collection. Potential biomarkers for cytokine storm were identified.

Keywords

• biobank
• covid-19
• metabolomic profile
• gas chromatography-mass spectrometry analysis
• cytokine storm