Study of the metabolome features of patients with COVID-19

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, prim...

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Main Authors: Y. V. Russkikh, N. N. Sushentseva, O. S. Popov, S. V. Apalko, A. Yu. Anisenkova, S. V. Mosenko, A. M. Sarana, S. G. Shcherbak
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2023-12-01
Series:Кардиоваскулярная терапия и профилактика
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Online Access:https://cardiovascular.elpub.ru/jour/article/view/3711
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author Y. V. Russkikh
N. N. Sushentseva
O. S. Popov
S. V. Apalko
A. Yu. Anisenkova
S. V. Mosenko
A. M. Sarana
S. G. Shcherbak
author_facet Y. V. Russkikh
N. N. Sushentseva
O. S. Popov
S. V. Apalko
A. Yu. Anisenkova
S. V. Mosenko
A. M. Sarana
S. G. Shcherbak
author_sort Y. V. Russkikh
collection DOAJ
description 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.
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spelling doaj-art-18557ac1a99c4e87a2e6225ee53618b12025-08-20T03:18:35Zrus«SILICEA-POLIGRAF» LLCКардиоваскулярная терапия и профилактика1728-88002619-01252023-12-01221110.15829/1728-8800-2023-37112796Study of the metabolome features of patients with COVID-19Y. V. Russkikh0N. N. Sushentseva1O. S. Popov2S. V. Apalko3A. Yu. Anisenkova4S. V. Mosenko5A. M. Sarana6S. G. Shcherbak7City Hospital № 40 of the Kurortny DistrictCity Hospital № 40 of the Kurortny DistrictCity Hospital № 40 of the Kurortny District; Saint­ Petersburg State UniversityCity Hospital № 40 of the Kurortny District; Saint­ Petersburg State UniversityCity Hospital № 40 of the Kurortny District; Saint­ Petersburg State UniversityCity Hospital № 40 of the Kurortny District; Saint­ Petersburg State UniversitySaint­Petersburg State University; Health Committee of Saint­PetersburgCity Hospital № 40 of the Kurortny District; Saint­ Petersburg State UniversityAim. 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.https://cardiovascular.elpub.ru/jour/article/view/3711biobankcovid-19metabolomic profilegas chromatography-mass spectrometry analysiscytokine storm
spellingShingle Y. V. Russkikh
N. N. Sushentseva
O. S. Popov
S. V. Apalko
A. Yu. Anisenkova
S. V. Mosenko
A. M. Sarana
S. G. Shcherbak
Study of the metabolome features of patients with COVID-19
Кардиоваскулярная терапия и профилактика
biobank
covid-19
metabolomic profile
gas chromatography-mass spectrometry analysis
cytokine storm
title Study of the metabolome features of patients with COVID-19
title_full Study of the metabolome features of patients with COVID-19
title_fullStr Study of the metabolome features of patients with COVID-19
title_full_unstemmed Study of the metabolome features of patients with COVID-19
title_short Study of the metabolome features of patients with COVID-19
title_sort study of the metabolome features of patients with covid 19
topic biobank
covid-19
metabolomic profile
gas chromatography-mass spectrometry analysis
cytokine storm
url https://cardiovascular.elpub.ru/jour/article/view/3711
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