1. The specific metabolome profiling of patients infected by SARS-COV-2 supports the key role of tryptophan-nicotinamide pathway and cytosine metabolism
- Author
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Blasco, H., Bessy, C., Plantier, L., Lefevre, A., Piver, E., Bernard, L., Marlet, J., Stefic, K., Benz-de Bretagne, Isabelle, Cannet, P., Lumbu, H., Morel, T., Boulard, P., Andres, C. R., Vourc’h, P., Hérault, O., Guillon, A., Emond, P., Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Centre d’Etude des Pathologies Respiratoires (CEPR), UMR 1100 (CEPR), Morphogénèse et antigénicité du VIH et du virus des Hépatites (MAVIVH - U1259 Inserm - CHRU Tours ), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), ERL 7001 LNOx (Leukemic Niche & redOx metabolism / Niche leucémique et métabolisme redOx) (LNOx), Groupe innovation et ciblage cellulaire (GICC), EA 7501 [2018-...] (GICC EA 7501), Université de Tours-Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Tours (UT)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Centre National de la Recherche Scientifique (CNRS)-Microenvironnement des niches tumorales (CNRS GDR 3697 Micronit ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Groupe innovation et ciblage cellulaire (GICC), EA 7501 [2018-...] (GICC EA 7501), Université de Tours (UT)-Université de Tours (UT), and Marlet, Julien
- Subjects
Male ,Niacinamide ,Pneumonia, Viral ,COVID-19 ,Biomarkers ,Virology ,Metabolomics ,lcsh:Medicine ,02 engineering and technology ,Sensitivity and Specificity ,Severity of Illness Index ,Article ,Betacoronavirus ,Cytosine ,03 medical and health sciences ,0302 clinical medicine ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,[SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology ,0202 electrical engineering, electronic engineering, information engineering ,Humans ,[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology ,030212 general & internal medicine ,lcsh:Science ,Pandemics ,Aged ,Aged, 80 and over ,Multidisciplinary ,SARS-CoV-2 ,lcsh:R ,Tryptophan ,Reproducibility of Results ,Middle Aged ,Prognosis ,3. Good health ,Early Diagnosis ,Metabolome ,[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Female ,020201 artificial intelligence & image processing ,lcsh:Q ,France ,Coronavirus Infections - Abstract
BackgroundThe biological mechanisms involved in SARS-CoV-2 infection are only partially understood. Thus we explored the plasma metabolome of patients infected with SARS-CoV-2 to search for diagnostic and/or prognostic biomarkers and to improve the knowledge of metabolic disturbance in this infection.Materials and Methods We analyzed the plasma metabolome of 55 patients infected with SARS-CoV-2 and 45 controls by LC-HRMS at the time of diagnosis (D0). We first evaluated the ability to predict the diagnosis from the metabotype at D0 in an independent population. Next, we assessed the feasibility of predicting the disease evolution at the 7th and 15th day.ResultsPlasma metabolome allowed us to generate a discriminant multivariate model to predict the diagnosis of SARS-CoV-2 in an independent population (accuracy>74%, sensitivity, specificity>75%). We identified the role of the cytosine and tryptophan-nicotinamide pathways in this discrimination. However, metabolomic exploration modestly explained the disease evolution.DiscussionHere, we present the first metabolomic study in SARS-CoV-2 patients which showed a high reliable prediction of early diagnosis. We have highlighted the role of the tryptophan-nicotinamide pathway clearly linked to inflammatory signals and microbiota, and the involvement of cytosine, previously described as a coordinator of cell metabolism in SARS-CoV-2. These findings could open new therapeutic perspectives as indirect targets.
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- 2020