Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19
ObjectivesThe COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is still challenging healthcare systems. New tools for the prognosis and diagnosis of COVID-19 patients remain important issues.DesignHere, we studied the metabolome of plasma samples of COVID-19 patient...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.995069/full |
| _version_ | 1798000263562264576 |
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| author | Céline Occelli Céline Occelli Céline Occelli Jean-Marie Guigonis Sabine Lindenthal Alexandre Cagnard Fanny Graslin Vesna Brglez Vesna Brglez Barbara Seitz-Polski Barbara Seitz-Polski Barbara Seitz-Polski Jean Dellamonica Jean Dellamonica Jean Dellamonica Jacques Levraut Jacques Levraut Thierry Pourcher |
| author_facet | Céline Occelli Céline Occelli Céline Occelli Jean-Marie Guigonis Sabine Lindenthal Alexandre Cagnard Fanny Graslin Vesna Brglez Vesna Brglez Barbara Seitz-Polski Barbara Seitz-Polski Barbara Seitz-Polski Jean Dellamonica Jean Dellamonica Jean Dellamonica Jacques Levraut Jacques Levraut Thierry Pourcher |
| author_sort | Céline Occelli |
| collection | DOAJ |
| description | ObjectivesThe COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is still challenging healthcare systems. New tools for the prognosis and diagnosis of COVID-19 patients remain important issues.DesignHere, we studied the metabolome of plasma samples of COVID-19 patients for the identification of prognosis biomarkers.PatientsPlasma samples of eighty-six SARS-CoV-2-infected subjects and 24 healthy controls were collected during the first peak of the COVID-19 pandemic in France in 2020.Main resultsPlasma metabolome fingerprinting allowed the successful discrimination of healthy controls, mild SARS-CoV-2 subjects, and moderate and severe COVID-19 patients at hospital admission. We found a strong effect of SARS-CoV-2 infection on the plasma metabolome in mild cases. Our results revealed that plasma lipids and alterations in their saturation level are important biomarkers for the detection of the infection. We also identified deoxy-fructosyl-amino acids as new putative plasma biomarkers for SARS-CoV-2 infection and COVID-19 severity. Finally, our results highlight a key role for plasma levels of tryptophan and kynurenine in the symptoms of COVID-19 patients.ConclusionOur results showed that plasma metabolome profiling is an efficient tool for the diagnosis and prognosis of SARS-CoV-2 infection. |
| first_indexed | 2024-04-11T11:16:58Z |
| format | Article |
| id | doaj.art-8fcdc1b199e84be1a28a3f8d443dc0a6 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-11T11:16:58Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-8fcdc1b199e84be1a28a3f8d443dc0a62022-12-22T04:27:11ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-09-01910.3389/fmed.2022.995069995069Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19Céline Occelli0Céline Occelli1Céline Occelli2Jean-Marie Guigonis3Sabine Lindenthal4Alexandre Cagnard5Fanny Graslin6Vesna Brglez7Vesna Brglez8Barbara Seitz-Polski9Barbara Seitz-Polski10Barbara Seitz-Polski11Jean Dellamonica12Jean Dellamonica13Jean Dellamonica14Jacques Levraut15Jacques Levraut16Thierry Pourcher17Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, FranceDepartment of Emergency, University Hospital, Nice, FranceSchool of Medicine, Université Côte d’Azur, Nice, FranceTransporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, FranceTransporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, FranceTransporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, FranceTransporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, FranceUnité de Recherche Clinique Côte d’Azur (UR2CA), Université Côte d’Azur, Nice, FranceDepartment of Immunology, University Hospital, Nice, FranceSchool of Medicine, Université Côte d’Azur, Nice, FranceUnité de Recherche Clinique Côte d’Azur (UR2CA), Université Côte d’Azur, Nice, FranceDepartment of Immunology, University Hospital, Nice, FranceSchool of Medicine, Université Côte d’Azur, Nice, FranceUnité de Recherche Clinique Côte d’Azur (UR2CA), Université Côte d’Azur, Nice, FranceMedical Intensive Care Unit, University Hospital, Nice, FranceDepartment of Emergency, University Hospital, Nice, FranceSchool of Medicine, Université Côte d’Azur, Nice, FranceTransporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, FranceObjectivesThe COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is still challenging healthcare systems. New tools for the prognosis and diagnosis of COVID-19 patients remain important issues.DesignHere, we studied the metabolome of plasma samples of COVID-19 patients for the identification of prognosis biomarkers.PatientsPlasma samples of eighty-six SARS-CoV-2-infected subjects and 24 healthy controls were collected during the first peak of the COVID-19 pandemic in France in 2020.Main resultsPlasma metabolome fingerprinting allowed the successful discrimination of healthy controls, mild SARS-CoV-2 subjects, and moderate and severe COVID-19 patients at hospital admission. We found a strong effect of SARS-CoV-2 infection on the plasma metabolome in mild cases. Our results revealed that plasma lipids and alterations in their saturation level are important biomarkers for the detection of the infection. We also identified deoxy-fructosyl-amino acids as new putative plasma biomarkers for SARS-CoV-2 infection and COVID-19 severity. Finally, our results highlight a key role for plasma levels of tryptophan and kynurenine in the symptoms of COVID-19 patients.ConclusionOur results showed that plasma metabolome profiling is an efficient tool for the diagnosis and prognosis of SARS-CoV-2 infection.https://www.frontiersin.org/articles/10.3389/fmed.2022.995069/fullbiomarkersCOVID-19metabolomics (OMICS)diagnosticprognostic |
| spellingShingle | Céline Occelli Céline Occelli Céline Occelli Jean-Marie Guigonis Sabine Lindenthal Alexandre Cagnard Fanny Graslin Vesna Brglez Vesna Brglez Barbara Seitz-Polski Barbara Seitz-Polski Barbara Seitz-Polski Jean Dellamonica Jean Dellamonica Jean Dellamonica Jacques Levraut Jacques Levraut Thierry Pourcher Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 Frontiers in Medicine biomarkers COVID-19 metabolomics (OMICS) diagnostic prognostic |
| title | Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 |
| title_full | Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 |
| title_fullStr | Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 |
| title_full_unstemmed | Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 |
| title_short | Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 |
| title_sort | untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 |
| topic | biomarkers COVID-19 metabolomics (OMICS) diagnostic prognostic |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.995069/full |
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