Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients

Coronavirus disease 2019 (COVID-19) is a viral infection affecting multiple organ systems of great significance for metabolic processes. Thus, there is increasing interest in metabolic and lipoprotein signatures of the disease, and early analyses have demonstrated a metabolic pattern typical for ath...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Franziska Schmelter, Bandik Föh, Alvaro Mallagaray, Johann Rahmöller, Marc Ehlers, Selina Lehrian, Vera von Kopylow, Inga Künsting, Anne Sophie Lixenfeld, Emily Martin, Mohab Ragab, Roza Meyer-Saraei, Fabian Kreutzmann, Ingo Eitel, Stefan Taube, Nadja Käding, Eckard Jantzen, Tobias Graf, Christian Sina, Ulrich L. Günther
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
NMR
Acceso en línea:https://doaj.org/article/bbbf11393234463db0d98a3642a824c6
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:bbbf11393234463db0d98a3642a824c6
record_format dspace
spelling oai:doaj.org-article:bbbf11393234463db0d98a3642a824c62021-12-02T11:47:55ZMetabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients2296-889X10.3389/fmolb.2021.737039https://doaj.org/article/bbbf11393234463db0d98a3642a824c62021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmolb.2021.737039/fullhttps://doaj.org/toc/2296-889XCoronavirus disease 2019 (COVID-19) is a viral infection affecting multiple organ systems of great significance for metabolic processes. Thus, there is increasing interest in metabolic and lipoprotein signatures of the disease, and early analyses have demonstrated a metabolic pattern typical for atherosclerotic and hepatic damage in COVID-19 patients. However, it remains unclear whether this is specific for COVID-19 and whether the observed signature is caused by the disease or rather represents an underlying risk factor. To answer this question, we have analyzed 482 serum samples using nuclear magnetic resonance metabolomics, including longitudinally collected samples from 12 COVID-19 and 20 cardiogenic shock intensive care patients, samples from 18 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody-positive individuals, and single time point samples from 58 healthy controls. COVID-19 patients showed a distinct metabolic serum profile, including changes typical for severe dyslipidemia and a deeply altered metabolic status compared with healthy controls. Specifically, very-low-density lipoprotein and intermediate-density lipoprotein particles and associated apolipoprotein B and intermediate-density lipoprotein cholesterol were significantly increased, whereas cholesterol and apolipoprotein A2 were decreased. Moreover, a similarly perturbed profile was apparent when compared with other patients with cardiogenic shock who are in the intensive care unit when looking at a 1-week time course, highlighting close links between COVID-19 and lipid metabolism. The metabolic profile of COVID-19 patients distinguishes those from healthy controls and also from patients with cardiogenic shock. In contrast, anti-SARS-CoV-2 antibody-positive individuals without acute COVID-19 did not show a significantly perturbed metabolic profile compared with age- and sex-matched healthy controls, but SARS-CoV-2 antibody-titers correlated significantly with metabolic parameters, including levels of glycine, ApoA2, and small-sized low- and high-density lipoprotein subfractions. Our data suggest that COVID-19 is associated with dyslipidemia, which is not observed in anti-SARS-CoV-2 antibody-positive individuals who have not developed severe courses of the disease. This suggests that lipoprotein profiles may represent a confounding risk factor for COVID-19 with potential for patient stratification.Franziska SchmelterFranziska SchmelterBandik FöhBandik FöhAlvaro MallagarayJohann RahmöllerJohann RahmöllerMarc EhlersSelina LehrianVera von KopylowInga KünstingAnne Sophie LixenfeldEmily MartinMohab RagabRoza Meyer-SaraeiRoza Meyer-SaraeiFabian KreutzmannFabian KreutzmannIngo EitelIngo EitelStefan TaubeNadja KädingEckard JantzenTobias GrafTobias GrafChristian SinaChristian SinaUlrich L. GüntherFrontiers Media S.A.articleNMRmetabolomicsSARS-CoV-2COVID-19lipoproteinsBiology (General)QH301-705.5ENFrontiers in Molecular Biosciences, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic NMR
metabolomics
SARS-CoV-2
COVID-19
lipoproteins
Biology (General)
QH301-705.5
spellingShingle NMR
metabolomics
SARS-CoV-2
COVID-19
lipoproteins
Biology (General)
QH301-705.5
Franziska Schmelter
Franziska Schmelter
Bandik Föh
Bandik Föh
Alvaro Mallagaray
Johann Rahmöller
Johann Rahmöller
Marc Ehlers
Selina Lehrian
Vera von Kopylow
Inga Künsting
Anne Sophie Lixenfeld
Emily Martin
Mohab Ragab
Roza Meyer-Saraei
Roza Meyer-Saraei
Fabian Kreutzmann
Fabian Kreutzmann
Ingo Eitel
Ingo Eitel
Stefan Taube
Nadja Käding
Eckard Jantzen
Tobias Graf
Tobias Graf
Christian Sina
Christian Sina
Ulrich L. Günther
Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients
description Coronavirus disease 2019 (COVID-19) is a viral infection affecting multiple organ systems of great significance for metabolic processes. Thus, there is increasing interest in metabolic and lipoprotein signatures of the disease, and early analyses have demonstrated a metabolic pattern typical for atherosclerotic and hepatic damage in COVID-19 patients. However, it remains unclear whether this is specific for COVID-19 and whether the observed signature is caused by the disease or rather represents an underlying risk factor. To answer this question, we have analyzed 482 serum samples using nuclear magnetic resonance metabolomics, including longitudinally collected samples from 12 COVID-19 and 20 cardiogenic shock intensive care patients, samples from 18 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody-positive individuals, and single time point samples from 58 healthy controls. COVID-19 patients showed a distinct metabolic serum profile, including changes typical for severe dyslipidemia and a deeply altered metabolic status compared with healthy controls. Specifically, very-low-density lipoprotein and intermediate-density lipoprotein particles and associated apolipoprotein B and intermediate-density lipoprotein cholesterol were significantly increased, whereas cholesterol and apolipoprotein A2 were decreased. Moreover, a similarly perturbed profile was apparent when compared with other patients with cardiogenic shock who are in the intensive care unit when looking at a 1-week time course, highlighting close links between COVID-19 and lipid metabolism. The metabolic profile of COVID-19 patients distinguishes those from healthy controls and also from patients with cardiogenic shock. In contrast, anti-SARS-CoV-2 antibody-positive individuals without acute COVID-19 did not show a significantly perturbed metabolic profile compared with age- and sex-matched healthy controls, but SARS-CoV-2 antibody-titers correlated significantly with metabolic parameters, including levels of glycine, ApoA2, and small-sized low- and high-density lipoprotein subfractions. Our data suggest that COVID-19 is associated with dyslipidemia, which is not observed in anti-SARS-CoV-2 antibody-positive individuals who have not developed severe courses of the disease. This suggests that lipoprotein profiles may represent a confounding risk factor for COVID-19 with potential for patient stratification.
format article
author Franziska Schmelter
Franziska Schmelter
Bandik Föh
Bandik Föh
Alvaro Mallagaray
Johann Rahmöller
Johann Rahmöller
Marc Ehlers
Selina Lehrian
Vera von Kopylow
Inga Künsting
Anne Sophie Lixenfeld
Emily Martin
Mohab Ragab
Roza Meyer-Saraei
Roza Meyer-Saraei
Fabian Kreutzmann
Fabian Kreutzmann
Ingo Eitel
Ingo Eitel
Stefan Taube
Nadja Käding
Eckard Jantzen
Tobias Graf
Tobias Graf
Christian Sina
Christian Sina
Ulrich L. Günther
author_facet Franziska Schmelter
Franziska Schmelter
Bandik Föh
Bandik Föh
Alvaro Mallagaray
Johann Rahmöller
Johann Rahmöller
Marc Ehlers
Selina Lehrian
Vera von Kopylow
Inga Künsting
Anne Sophie Lixenfeld
Emily Martin
Mohab Ragab
Roza Meyer-Saraei
Roza Meyer-Saraei
Fabian Kreutzmann
Fabian Kreutzmann
Ingo Eitel
Ingo Eitel
Stefan Taube
Nadja Käding
Eckard Jantzen
Tobias Graf
Tobias Graf
Christian Sina
Christian Sina
Ulrich L. Günther
author_sort Franziska Schmelter
title Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients
title_short Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients
title_full Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients
title_fullStr Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients
title_full_unstemmed Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients
title_sort metabolic and lipidomic markers differentiate covid-19 from non-hospitalized and other intensive care patients
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/bbbf11393234463db0d98a3642a824c6
work_keys_str_mv AT franziskaschmelter metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT franziskaschmelter metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT bandikfoh metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT bandikfoh metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT alvaromallagaray metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT johannrahmoller metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT johannrahmoller metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT marcehlers metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT selinalehrian metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT veravonkopylow metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT ingakunsting metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT annesophielixenfeld metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT emilymartin metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT mohabragab metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT rozameyersaraei metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT rozameyersaraei metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT fabiankreutzmann metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT fabiankreutzmann metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT ingoeitel metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT ingoeitel metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT stefantaube metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT nadjakading metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT eckardjantzen metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT tobiasgraf metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT tobiasgraf metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT christiansina metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT christiansina metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
AT ulrichlgunther metabolicandlipidomicmarkersdifferentiatecovid19fromnonhospitalizedandotherintensivecarepatients
_version_ 1718395249091411968