tetano
Editor, Senior Moderator
Sci Rep
. 2025 Feb 24;15(1):6622.
doi: 10.1038/s41598-025-90426-0. Comparative metabolomic analysis reveals shared and unique features of COVID-19 cytokine storm and surgical sepsis
Iana V Russkikh[SUP] 1 [/SUP], Oleg S Popov[SUP] 1 2 [/SUP], Tatiana G Klochkova[SUP] 3 [/SUP], Natalia N Sushentseva[SUP] 1 [/SUP], Svetlana V Apalko[SUP] 1 2 [/SUP], Anna Yu Asinovskaya[SUP] 1 2 [/SUP], Sergey V Mosenko[SUP] 1 2 [/SUP], Andrey M Sarana[SUP] 2 [/SUP], Sergey G Shcherbak[SUP] 1 2 [/SUP]
Affiliations
The clinical manifestations of the cytokine storm (CS) associated with COVID-19 resemble the acute phase of sepsis. Metabolomics may contribute to understanding the specific pathobiology of these two syndromes. The aim of this study was to compare serum metabolomic profiles in CS associated with COVID-19 vs. septic surgery patients. In a retrospective cross-sectional study, serum samples from patients with CS associated with COVID-19, with and without comorbidity, as well as serum samples from patients with surgical sepsis were investigated. Targeted metabolomic analysis was performed on all samples using LC-MS/MS. Analysis revealed that similar alterations in the serum metabolome of patients with COVID-19 and surgical septic patients were associated with amino acid metabolism, nitrogen metabolism, inflammatory status, methionine cycle and glycolysis. The most significant difference was found for serum levels of metabolites of kynurenine synthesis, tricarboxylic acid cycle, gamma-aminobutyric acid and niacinamide. The metabolic pathway of cysteine and methionine metabolism was significantly disturbed in COVID-19 and surgical septic patients. For the first time, the similarities and differences between the serum metabolomic profiles of patients with CS associated with COVID-19 and patients with surgical sepsis were investigated for patients from the Northwest of the Russian Federation.
Keywords: COVID-19; Cytokine storm; LC–MS/MS; Metabolic pathways; Sepsis; Targeted metabolomic analysis.
. 2025 Feb 24;15(1):6622.
doi: 10.1038/s41598-025-90426-0. Comparative metabolomic analysis reveals shared and unique features of COVID-19 cytokine storm and surgical sepsis
Iana V Russkikh[SUP] 1 [/SUP], Oleg S Popov[SUP] 1 2 [/SUP], Tatiana G Klochkova[SUP] 3 [/SUP], Natalia N Sushentseva[SUP] 1 [/SUP], Svetlana V Apalko[SUP] 1 2 [/SUP], Anna Yu Asinovskaya[SUP] 1 2 [/SUP], Sergey V Mosenko[SUP] 1 2 [/SUP], Andrey M Sarana[SUP] 2 [/SUP], Sergey G Shcherbak[SUP] 1 2 [/SUP]
Affiliations
- PMID: 39994234
- DOI: 10.1038/s41598-025-90426-0
The clinical manifestations of the cytokine storm (CS) associated with COVID-19 resemble the acute phase of sepsis. Metabolomics may contribute to understanding the specific pathobiology of these two syndromes. The aim of this study was to compare serum metabolomic profiles in CS associated with COVID-19 vs. septic surgery patients. In a retrospective cross-sectional study, serum samples from patients with CS associated with COVID-19, with and without comorbidity, as well as serum samples from patients with surgical sepsis were investigated. Targeted metabolomic analysis was performed on all samples using LC-MS/MS. Analysis revealed that similar alterations in the serum metabolome of patients with COVID-19 and surgical septic patients were associated with amino acid metabolism, nitrogen metabolism, inflammatory status, methionine cycle and glycolysis. The most significant difference was found for serum levels of metabolites of kynurenine synthesis, tricarboxylic acid cycle, gamma-aminobutyric acid and niacinamide. The metabolic pathway of cysteine and methionine metabolism was significantly disturbed in COVID-19 and surgical septic patients. For the first time, the similarities and differences between the serum metabolomic profiles of patients with CS associated with COVID-19 and patients with surgical sepsis were investigated for patients from the Northwest of the Russian Federation.
Keywords: COVID-19; Cytokine storm; LC–MS/MS; Metabolic pathways; Sepsis; Targeted metabolomic analysis.