TY - UNPB

T1 - Amino acid profiling of COVID-19 patients blood serum

AU - Русских, Я.В.

AU - Сушенцева, Наталья Николаевна

AU - Попов, Олег Сергеевич

AU - Апалько, Светлана Вячеславовна

AU - Шиманский, Валентин Сергеевич

AU - Асиновская, Анна Юрьевна

AU - Мосенко, Сергей Викторович

AU - Сарана, Андрей Михайлович

AU - Щербак, Сергей Григорьевич

PY - 2024/3/6

Y1 - 2024/3/6

N2 - Main objectives of this study were to analyse metabolomic profile features of patients with COVID-19 using mass spectrometry techniques while taking into account the clinical and laboratory history, and to study the relationship between the severity of COVID-19 symptoms and the concentration of primary metabolites, primarily amino acids. We used frozen blood serum samples of 935 COVID-19 patients from the City Hospital No. 40 biobank collection. Metabolomic profile was studied by HPLS-MS/MS method. R programming language was used for statistical data processing. The difference of metabolic profile of patients with COVID-19 depending on the severity of the disease was revealed based on the performed analysis - for 52 out of 84 detected compounds there were differences with reliability p<0,01. Statistically significant differences in concentration were recorded for organic acids, amino acids and their derivatives. Using samples from the biobank collection, a metabolomic study of the biomaterial of patients hospitalised with the diagnosis of COVID-19 was carried out. According to the results obtained, kynurenine, phenylalanine and acetylcarnitine were associated with the severity of COVID-19 infection.

AB - Main objectives of this study were to analyse metabolomic profile features of patients with COVID-19 using mass spectrometry techniques while taking into account the clinical and laboratory history, and to study the relationship between the severity of COVID-19 symptoms and the concentration of primary metabolites, primarily amino acids. We used frozen blood serum samples of 935 COVID-19 patients from the City Hospital No. 40 biobank collection. Metabolomic profile was studied by HPLS-MS/MS method. R programming language was used for statistical data processing. The difference of metabolic profile of patients with COVID-19 depending on the severity of the disease was revealed based on the performed analysis - for 52 out of 84 detected compounds there were differences with reliability p<0,01. Statistically significant differences in concentration were recorded for organic acids, amino acids and their derivatives. Using samples from the biobank collection, a metabolomic study of the biomaterial of patients hospitalised with the diagnosis of COVID-19 was carried out. According to the results obtained, kynurenine, phenylalanine and acetylcarnitine were associated with the severity of COVID-19 infection.

KW - infectious diseases

U2 - 10.1101/2024.03.05.24303773

DO - 10.1101/2024.03.05.24303773

M3 - Препринт

BT - Amino acid profiling of COVID-19 patients blood serum

PB - BMJ Publishing Group

ER -