Integrated NMR and MS Analysis of the Plasma Metabolome Reveals Major Changes in One-Carbon, Lipid, and Amino Acid Metabolism in Severe and Fatal Cases of COVID-19

Brazil has the second-highest COVID-19 death rate worldwide, and Rio de Janeiro is among the states with the highest rate in the country. Although vaccine coverage has been achieved, it is anticipated that COVID-19 will transition into an endemic disease. It is concerning that the molecular mechanisms underlying clinical evolution from mild to severe disease, as well as the mechanisms leading to long COVID-19, are not yet fully understood. NMR and MS-based metabolomics were used to identify metabolites associated with COVID-19 pathophysiology and disease outcome. Severe COVID-19 cases (n = 35) were enrolled in two reference centers in Rio de Janeiro within 72 h of ICU admission, alongside 12 non-infected control subjects. COVID-19 patients were grouped into survivors (n = 18) and non-survivors (n = 17). Choline-related metabolites, serine, glycine, and betaine, were reduced in severe COVID-19, indicating dysregulation in methyl donors. Non-survivors had higher levels of creatine/creatinine, 4-hydroxyproline, gluconic acid, and N-acetylserine, indicating liver and kidney dysfunction. Several changes were greater in women; thus, patients’ sex should be considered in pandemic surveillance to achieve better disease stratification and improve outcomes. These metabolic alterations may be useful to monitor organ (dys) function and to understand the pathophysiology of acute and possibly post-acute COVID-19 syndromes.

[1]  A. Valente,et al.  Metabolic Adaptations Correlated with Antibody Response after Immunization with Inactivated SARS-CoV-2 in Brazilian Subjects. , 2023, Journal of proteome research.

[2]  E. Halasová,et al.  Changes in the Urine Metabolomic Profile in Patients Recovering from Severe COVID-19 , 2023, Metabolites.

[3]  A. Valente,et al.  Salivary Metabolomic Analysis Reveals Amino Acid Metabolism Shift in SARS-CoV-2 Virus Activity and Post-Infection Condition , 2023, Metabolites.

[4]  P. Pibarot,et al.  Association between Circulating Amino Acids and COVID-19 Severity , 2023, Metabolites.

[5]  E. Topol,et al.  Long COVID: major findings, mechanisms and recommendations , 2023, Nature Reviews Microbiology.

[6]  Shelly C. Lu,et al.  An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study , 2022, Metabolites.

[7]  M. Spraul,et al.  Quantitative Serum NMR Spectroscopy Stratifies COVID-19 Patients and Sheds Light on Interfaces of Host Metabolism and the Immune Response with Cytokines and Clinical Parameters , 2022, Metabolites.

[8]  Oscar J. Pellicer-Valero,et al.  Post–COVID-19 Symptoms 2 Years After SARS-CoV-2 Infection Among Hospitalized vs Nonhospitalized Patients , 2022, JAMA network open.

[9]  I. Petrache,et al.  Signatures of Mitochondrial Dysfunction and Impaired Fatty Acid Metabolism in Plasma of Patients with Post-Acute Sequelae of COVID-19 (PASC) , 2022, Metabolites.

[10]  F. Bozza,et al.  Persisting Platelet Activation and Hyperactivity in COVID-19 Survivors , 2022, Circulation research.

[11]  J. Guigonis,et al.  Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19 , 2022, Frontiers in Medicine.

[12]  Michael C. Bailey,et al.  Untargeted saliva metabolomics by liquid chromatography—Mass spectrometry reveals markers of COVID-19 severity , 2022, PloS one.

[13]  J. Torres-Ruiz,et al.  Metabolomics analysis identifies glutamic acid and cystine imbalances in COVID-19 patients without comorbid conditions. Implications on redox homeostasis and COVID-19 pathophysiology , 2022, PloS one.

[14]  R. Vasan,et al.  Metabolite profiling of CKD progression in the chronic renal insufficiency cohort study , 2022, JCI insight.

[15]  R. Goodacre,et al.  Quality assurance and quality control reporting in untargeted metabolic phenotyping: mQACC recommendations for analytical quality management , 2022, Metabolomics.

[16]  R. Basílio,et al.  Increased Lung Immune Metabolic Activity in COVID-19 Survivors , 2022, Clinical nuclear medicine.

[17]  E. Wan,et al.  Post-COVID-19 Condition. , 2022, Annual review of medicine.

[18]  Michael C. Bailey,et al.  Metabolomics Markers of COVID-19 Are Dependent on Collection Wave , 2022, Metabolites.

[19]  S. Ramakrishnan,et al.  Emerging Role of Hepatic Ketogenesis in Fatty Liver Disease , 2022, Frontiers in Physiology.

[20]  A. Mardinoğlu,et al.  Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity , 2022, Cell Systems.

[21]  C. Barbas,et al.  Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation , 2022, Frontiers in Immunology.

[22]  E. Carrilho,et al.  1H qNMR-Based Metabolomics Discrimination of Covid-19 Severity , 2022, Journal of proteome research.

[23]  C. Viboud,et al.  Projecting the SARS-CoV-2 transition from pandemicity to endemicity: Epidemiological and immunological considerations , 2022, PLoS pathogens.

[24]  D. Sedding,et al.  The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19 , 2022, Cell Reports Medicine.

[25]  L. Giaquinto,et al.  The role of NSP6 in the biogenesis of the SARS-CoV-2 replication organelle , 2022, Nature.

[26]  L. McCullough,et al.  Sex differences in global metabolomic profiles of COVID-19 patients , 2022, Cell Death & Disease.

[27]  S. Safo,et al.  Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severity , 2022, PloS one.

[28]  Carolina Q. Sacramento,et al.  Human endogenous retrovirus K in the respiratory tract is associated with COVID-19 physiopathology , 2022, Microbiome.

[29]  C. Vargas‐De‐León,et al.  Interaction of metabolic dysfunction‐associated fatty liver disease and nonalcoholic fatty liver disease with advanced fibrosis in the death and intubation of patients hospitalized with coronavirus disease 2019 , 2022, Hepatology communications.

[30]  Ronan M. T. Fleming,et al.  Whole-body metabolic modelling predicts isoleucine dependency of SARS-CoV-2 replication , 2022, bioRxiv.

[31]  H. Perazzo,et al.  In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil , 2022, The Lancet Regional Health - Americas.

[32]  Carolina Q. Sacramento,et al.  Simvastatin Downregulates the SARS-CoV-2-Induced Inflammatory Response and Impairs Viral Infection Through Disruption of Lipid Rafts , 2022, Frontiers in Immunology.

[33]  L. Poston,et al.  Sexual dimorphism in COVID-19: potential clinical and public health implications , 2022, The Lancet Diabetes & Endocrinology.

[34]  Tao Li,et al.  Longitudinal Metabolomics Reveals Ornithine Cycle Dysregulation Correlates With Inflammation and Coagulation in COVID-19 Severe Patients , 2021, Frontiers in Microbiology.

[35]  D. Martins‐de‐Souza,et al.  SARS‐CoV‐2 Infection Impacts Carbon Metabolism and Depends on Glutamine for Replication in Syrian Hamster Astrocytes , 2021, bioRxiv.

[36]  Emrah Altindis,et al.  Viruses and Metabolism: The Effects of Viral Infections and Viral Insulins on Host Metabolism , 2021, Annual review of virology.

[37]  D. Wishart,et al.  Immunometabolic signatures predict risk of progression to sepsis in COVID-19 , 2021, PloS one.

[38]  Guoyao Wu,et al.  Hydroxyproline in animal metabolism, nutrition, and cell signaling , 2021, Amino Acids.

[39]  Mariana Renovato-Martins,et al.  The remodel of the “central dogma”: a metabolomics interaction perspective , 2021, Metabolomics.

[40]  V. Mootha,et al.  SARS-CoV-2 hijacks folate and one-carbon metabolism for viral replication , 2021, Nature Communications.

[41]  Shao Li,et al.  Integrated cytokine and metabolite analysis reveals immunometabolic reprogramming in COVID-19 patients with therapeutic implications , 2021, Nature communications.

[42]  M. Spraul,et al.  Diffusion and Relaxation Edited Proton NMR Spectroscopy of Plasma Reveals a High-Fidelity Supramolecular Biomarker Signature of SARS-CoV-2 Infection , 2021, Analytical chemistry.

[43]  M. Spraul,et al.  NMR Spectroscopic Windows on the Systemic Effects of SARS-CoV-2 Infection on Plasma Lipoproteins and Metabolites in Relation to Circulating Cytokines. , 2021, Journal of proteome research.

[44]  F. Nicoletti,et al.  Increased kynurenine-to-tryptophan ratio in the serum of patients infected with SARS-CoV2: An observational cohort study. , 2020, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

[45]  D. Kell,et al.  Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome , 2020, Metabolomics.

[46]  W. Kimberly,et al.  Uric Acid and Gluconic Acid as Predictors of Hyperglycemia and Cytotoxic Injury after Stroke , 2020, Translational stroke research.

[47]  A. Manolis,et al.  COVID-19 Infection: Viral Macro- and Micro-Vascular Coagulopathy and Thromboembolism/Prophylactic and Therapeutic Management , 2020, Journal of cardiovascular pharmacology and therapeutics.

[48]  Carolina Q. Sacramento,et al.  Lipid droplets fuel SARS-CoV-2 replication and production of inflammatory mediators , 2020, bioRxiv.

[49]  A. Saqi,et al.  Hepatic pathology in patients dying of COVID-19: a series of 40 cases including clinical, histologic, and virologic data , 2020, Modern Pathology.

[50]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[51]  Ryan M Burke,et al.  The choline transporter Slc44a2 controls platelet activation and thrombosis by regulating mitochondrial function , 2020, Nature Communications.

[52]  Angelo Carfì,et al.  Persistent Symptoms in Patients After Acute COVID-19. , 2020, JAMA.

[53]  D. Agard,et al.  A molecular pore spans the double membrane of the coronavirus replication organelle , 2020, Science.

[54]  E. Hod,et al.  COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status. , 2020, JCI insight.

[55]  Mike Clarke,et al.  A minimal common outcome measure set for COVID-19 clinical research , 2020, The Lancet Infectious Diseases.

[56]  L. Kazak,et al.  Creatine metabolism: energy homeostasis, immunity and cancer biology , 2020, Nature Reviews Endocrinology.

[57]  V. Regitz-Zagrosek,et al.  Impact of sex and gender on COVID-19 outcomes in Europe , 2020, Biology of Sex Differences.

[58]  Fang Lin,et al.  SARS-CoV-2 infection of the liver directly contributes to hepatic impairment in patients with COVID-19 , 2020, Journal of Hepatology.

[59]  Zebao He,et al.  Proteomic and Metabolomic Characterization of COVID-19 Patient Sera , 2020, Cell.

[60]  Hong Wang,et al.  Plasma metabolomic and lipidomic alterations associated with COVID-19 , 2020, medRxiv.

[61]  R. Deminice,et al.  One-Carbon Metabolism in Fatty Liver Disease and Fibrosis: One-Carbon to Rule Them All. , 2020, The Journal of nutrition.

[62]  G. Kroemer,et al.  Coronavirus infections: Epidemiological, clinical and immunological features and hypotheses , 2020, Cell stress.

[63]  David S. Wishart,et al.  Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis , 2019, Current protocols in bioinformatics.

[64]  Yanwei Xing,et al.  Gut Microbiota-Dependent Marker TMAO in Promoting Cardiovascular Disease: Inflammation Mechanism, Clinical Prognostic, and Potential as a Therapeutic Target , 2019, Front. Pharmacol..

[65]  Jun-Lin Jiang,et al.  Asymmetric dimethylarginine: An crucial regulator in tissue fibrosis. , 2019, European journal of pharmacology.

[66]  R. Perera,et al.  Metabolomic Insights into Human Arboviral Infections: Dengue, Chikungunya, and Zika Viruses , 2019, Viruses.

[67]  B. Spiegelman,et al.  Ablation of adipocyte creatine transport impairs thermogenesis and causes diet-induced obesity , 2019, Nature Metabolism.

[68]  D. Missé,et al.  Zika virus infection modulates the metabolomic profile of microglial cells , 2018, PloS one.

[69]  S. Hazen,et al.  Development of a gut microbe-targeted non-lethal therapeutic to inhibit thrombosis potential , 2018, Nature Medicine.

[70]  Ian D. Wilson,et al.  Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies , 2018, Metabolomics : Official journal of the Metabolomic Society.

[71]  Guoyao Wu,et al.  Amino Acids As Mediators of Metabolic Cross Talk between Host and Pathogen , 2018, Front. Immunol..

[72]  David S. Wishart,et al.  HMDB 4.0: the human metabolome database for 2018 , 2017, Nucleic Acids Res..

[73]  R. Catharino,et al.  Serum Metabolic Alterations upon Zika Infection , 2017, Front. Microbiol..

[74]  D. Vance,et al.  The critical role of phosphatidylcholine and phosphatidylethanolamine metabolism in health and disease. , 2017, Biochimica et biophysica acta. Biomembranes.

[75]  Y. Li,et al.  Altered Lipid Metabolism in Recovered SARS Patients Twelve Years after Infection , 2017, Scientific Reports.

[76]  Joshua D Rabinowitz,et al.  One-Carbon Metabolism in Health and Disease. , 2017, Cell metabolism.

[77]  Kazuki Saito,et al.  Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software. , 2016, Analytical chemistry.

[78]  C. Struchiner,et al.  1H Nuclear Magnetic Resonance Metabolomics of Plasma Unveils Liver Dysfunction in Dengue Patients , 2016, Journal of Virology.

[79]  Masanori Arita,et al.  MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis , 2015, Nature Methods.

[80]  Rafael Brüschweiler,et al.  Unified and Isomer-Specific NMR Metabolomics Database for the Accurate Analysis of 13C–1H HSQC Spectra , 2014, ACS chemical biology.

[81]  Christian Ludwig,et al.  MetaboLab - advanced NMR data processing and analysis for metabolomics , 2011, BMC Bioinformatics.

[82]  Joshua D. Knowles,et al.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry , 2011, Nature Protocols.

[83]  P. Home,et al.  The Role of Asymmetric Dimethylarginine (ADMA) in Endothelial Dysfunction and Cardiovascular Disease , 2010, Current cardiology reviews.

[84]  Rafael Brüschweiler,et al.  Web server based complex mixture analysis by NMR. , 2008, Analytical chemistry.

[85]  Miron Livny,et al.  BioMagResBank , 2007, Nucleic Acids Res..

[86]  Nigel W. Hardy,et al.  Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.

[87]  Mark R. Viant,et al.  Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logarithm transformation , 2007, BMC Bioinformatics.

[88]  Peng Li,et al.  Amino acids and immune function , 2007, British Journal of Nutrition.

[89]  A. J. Shaka,et al.  Water Suppression That Works. Excitation Sculpting Using Arbitrary Wave-Forms and Pulsed-Field Gradients , 1995 .

[90]  Jimmy D Bell,et al.  Assignment of resonances for ‘acute‐phase’ glycoproteins in high resolution proton NMR spectra of human blood plasma , 1987, FEBS letters.

[91]  B. Zak,et al.  A peroxidase-coupled method for the colorimetric determination of serum triglycerides. , 1983, Clinical chemistry.

[92]  W. Richmond Preparation and properties of a cholesterol oxidase from Nocardia sp. and its application to the enzymatic assay of total cholesterol in serum. , 1973, Clinical chemistry.

[93]  E. Purcell,et al.  Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments , 1954 .

[94]  C. Dolea,et al.  World Health Organization , 1949, International Organization.

[95]  A. T. da Poian,et al.  Virus-induced changes in mitochondrial bioenergetics as potential targets for therapy. , 2013, The international journal of biochemistry & cell biology.