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Understanding the pathophysiological changes via untargeted metabolomics in COVID-19 patients.
Dogan, Halef O; Senol, Onur; Bolat, Serkan; Yildiz, Seyma N; Büyüktuna, Seyit A; Sariismailoglu, Ragip; Dogan, Kübra; Hasbek, Mürsit; Hekim, Süleyman N.
Afiliação
  • Dogan HO; Department of Biochemistry, School of Medicine, University of Sivas Cumhuriyet, Sivas, Turkey.
  • Senol O; Department of Analytical Chemistry, Faculty of Pharmacy, Atatürk University, Erzurum, Turkey.
  • Bolat S; Department of Biochemistry, School of Medicine, University of Sivas Cumhuriyet, Sivas, Turkey.
  • Yildiz SN; Department of Biochemistry, School of Medicine, University of Sivas Cumhuriyet, Sivas, Turkey.
  • Büyüktuna SA; Department of Infectious Diseases, School of Medicine, University of Sivas Cumhuriyet, Sivas, Turkey.
  • Sariismailoglu R; Department of Infectious Disease, Sivas Numune Hospital, Sivas, Turkey.
  • Dogan K; Department of Biochemistry, Sivas Numune Hospital, Sivas, Turkey.
  • Hasbek M; Department of Microbiology, School of Medicine, University of Sivas Cumhuriyet, Sivas, Turkey.
  • Hekim SN; Department of Biochemistry, School of Medicine, University of Biruni, Istanbul, Turkey.
J Med Virol ; 93(4): 2340-2349, 2021 04.
Article em En | MEDLINE | ID: mdl-33300133
ABSTRACT
Coronavirus disease 2019 (COVID-19) is an infectious respiratory disease caused by a new strain of the coronavirus. There is limited data on the pathogenesis and the cellular responses of COVID-19. In this study, we aimed to determine the variation of metabolites between healthy control and COVID-19 via the untargeted metabolomics method. Serum samples were obtained from 44 COVID-19 patients and 41 healthy controls. Untargeted metabolomics analyses were performed by the LC/Q-TOF/MS (liquid chromatography quadrupole time-of-flight mass spectrometry) method. Data acquisition, classification, and identification were achieved by the METLIN database and XCMS. Significant differences were determined between patients and healthy controls in terms of purine, glutamine, leukotriene D4 (LTD4), and glutathione metabolisms. Downregulations were determined in R-S lactoglutathione and glutamine. Upregulations were detected in hypoxanthine, inosine, and LTD4. Identified metabolites indicate roles for purine, glutamine, LTD4, and glutathione metabolisms in the pathogenesis of the COVID-19. The use of selective leukotriene D4 receptor antagonists, targeting purinergic signaling as a therapeutic approach and glutamine supplementation may decrease the severity and mortality of COVID-19.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Virol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Turquia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Virol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Turquia