Amino acid profiling of COVID-19 patients blood serum

Publication date: Mar 05, 2024

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

Concepts Keywords
Biobank Amino
Hospital Blood
Serum City
Severity Clinical
Spectrometry Covid
Federation
Hospital
Metabolomic
Petersburg
Profile
Russian
Serum
Severity

Semantics

Type Source Name
disease MESH COVID-19
disease IDO history
drug DRUGBANK Amino acids

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