Metabolomics

Dataset Information

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Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab


ABSTRACT: The current pandemic emergence of novel coronavirus disease (COVID-19) poses a relevant threat to global health. SARS-CoV-2 infection is characterized by a wide range of clinical manifestations, ranging from absence of symptoms to severe forms that need intensive care treatment. Here, plasma-EDTA samples of 30 patients compared with age- and sex-matched controls were analyzed via untargeted nuclear magnetic resonance (NMR)-based metabolomics and lipidomics. With the same approach, the effect of tocilizumab administration was evaluated in a subset of patients. Despite the heterogeneity of the clinical symptoms, COVID-19 patients are characterized by common plasma metabolomic and lipidomic signatures (91.7% and 87.5% accuracy, respectively, when compared to controls). Tocilizumab treatment resulted in at least partial reversion of the metabolic alterations due to SARS-CoV-2 infection. In conclusion, NMR-based metabolomic and lipidomic profiling provides novel insights into the pathophysiological mechanism of human response to SARS-CoV-2 infection and to monitor treatment outcomes.

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -

SUBMITTER: veronica ghini 

PROVIDER: MTBLS2336 | MetaboLights | 2022-02-21

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS2336 Other
FILES Other
a_MTBLS2336_CPMG_NMR_metabolite_profiling.txt Txt
a_MTBLS2336_LEDB_NMR_metabolite_profiling.txt Txt
a_MTBLS2336_NOESY_NMR_metabolite_profiling.txt Txt
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Publications


The current pandemic emergence of novel coronavirus disease (COVID-19) poses a relevant threat to global health. SARS-CoV-2 infection is characterized by a wide range of clinical manifestations, ranging from absence of symptoms to severe forms that need intensive care treatment. Here, plasma-EDTA samples of 30 patients compared with age- and sex-matched controls were analyzed via untargeted nuclear magnetic resonance (NMR)-based metabolomics and lipidomics. With the same approach, the effect of  ...[more]

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