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Janneh, A. H., Kassir, M. F., Dwyer, C. J., & others. (2021). Alterations of lipid metabolism provide serologic biomarkers for the detection of asymptomatic versus symptomatic covid-19 patients - scientific reports. Sci. Rep. 11(14232), 1–10. 
Added by: Dr. Enrique Feoli (08/08/2021, 18:41)   Last edited by: Dr. Enrique Feoli (08/08/2021, 18:43)
Resource type: Journal Article
DOI: 10.1038/s41598-021-93857-7
ID no. (ISBN etc.): 2045-2322
BibTeX citation key: Janneh2021
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Categories: BioAcyl Corp
Subcategories: Inmunidad de mucosas
Creators: Dwyer, Janneh, Kassir, others
Collection: Sci. Rep.
Views: 1/244
Abstract
COVID-19 pandemic exerts a health care emergency around the world. The illness severity is heterogeneous. It is mostly unknown why some individuals who are positive for SARS-CoV-2 antibodies stay asymptomatic while others show moderate to severe disease symptoms. Reliable biomarkers for early detection of the disease are urgently needed to attenuate the virus{'}s spread and help make early treatment decisions. Bioactive sphingolipids play a crucial role in the regulation of viral infections and pro-inflammatory responses involved in the severity of COVID-19. However, any roles of sphingolipids in COVID-19 development or detection remain unknown. In this study, lipidomics measurement of serum sphingolipids demonstrated that reduced sphingosine levels are highly associated with the development of symptomatic COVID-19 in the majority (99.24{%}) SARS-CoV-2-infected patients compared to asymptomatic counterparts. The majority of asymptomatic individuals (73{%}) exhibited increased acid ceramidase (AC) in their serum, measured by Western blotting, consistent with elevated sphingosine levels compared to SARS-CoV-2 antibody negative controls. AC protein was also reduced in almost all of the symptomatic patients{'} serum, linked to reduced sphingosine levels, measured in longitudinal acute or convalescent COVID-19 samples. Thus, reduced sphingosine levels provide a sensitive and selective serologic biomarker for the early identification of asymptomatic versus symptomatic COVID-19 patients.
  
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