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Buchynskyi M, Oksenych V, Kamyshna I, Vorobets I, Halabitska I, Kamyshnyi O. Modulatory Roles of AHR, FFAR2, FXR, and TGR5 Gene Expression in Metabolic-Associated Fatty Liver Disease and COVID-19 Outcomes. Viruses 2024; 16:985. [PMID: 38932276 PMCID: PMC11209102 DOI: 10.3390/v16060985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/12/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024] Open
Abstract
Metabolic-associated fatty liver disease (MAFLD) is a risk factor for severe COVID-19. This study explores the potential influence of gut hormone receptor and immune response gene expression on COVID-19 outcomes in MAFLD patients. METHODS We investigated gene expression levels of AHR, FFAR2, FXR, and TGR5 in patients with MAFLD and COVID-19 compared to controls. We examined associations between gene expression and clinical outcomes. RESULTS COVID-19 patients displayed altered AHR expression, potentially impacting immune response and recovery. Downregulated AHR in patients with MAFLD correlated with increased coagulation parameters. Elevated FFAR2 expression in patients with MAFLD was linked to specific immune cell populations and hospital stay duration. A significantly lower FXR expression was observed in both MAFLD and severe COVID-19. CONCLUSION Our findings suggest potential modulatory roles for AHR, FFAR2, and FXR in COVID-19 and MAFLD.
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Affiliation(s)
- Mykhailo Buchynskyi
- Department of Microbiology, Virology, and Immunology, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine
| | - Valentyn Oksenych
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, 5020 Bergen, Norway
| | - Iryna Kamyshna
- Department of Medical Rehabilitation, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine
| | - Ihor Vorobets
- Ophthalmology Clinic “Vizex”, Naukova St. 96B, 79060 Lviv, Ukraine
| | - Iryna Halabitska
- Department of Therapy and Family Medicine, I. Horbachevsky Ternopil National Medical University, Voli Square, 1, 46001 Ternopil, Ukraine;
| | - Oleksandr Kamyshnyi
- Department of Microbiology, Virology, and Immunology, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine
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Elgedawy GA, Samir M, Elabd NS, Elsaid HH, Enar M, Salem RH, Montaser BA, AboShabaan HS, Seddik RM, El-Askaeri SM, Omar MM, Helal ML. Metabolic profiling during COVID-19 infection in humans: Identification of potential biomarkers for occurrence, severity and outcomes using machine learning. PLoS One 2024; 19:e0302977. [PMID: 38814977 PMCID: PMC11139268 DOI: 10.1371/journal.pone.0302977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/15/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND After its emergence in China, the coronavirus SARS-CoV-2 has swept the world, leading to global health crises with millions of deaths. COVID-19 clinical manifestations differ in severity, ranging from mild symptoms to severe disease. Although perturbation of metabolism has been reported as a part of the host response to COVID-19 infection, scarce data exist that describe stage-specific changes in host metabolites during the infection and how this could stratify patients based on severity. METHODS Given this knowledge gap, we performed targeted metabolomics profiling and then used machine learning models and biostatistics to characterize the alteration patterns of 50 metabolites and 17 blood parameters measured in a cohort of 295 human subjects. They were categorized into healthy controls, non-severe, severe and critical groups with their outcomes. Subject's demographic and clinical data were also used in the analyses to provide more robust predictive models. RESULTS The non-severe and severe COVID-19 patients experienced the strongest changes in metabolite repertoire, whereas less intense changes occur during the critical phase. Panels of 15, 14, 2 and 2 key metabolites were identified as predictors for non-severe, severe, critical and dead patients, respectively. Specifically, arginine and malonyl methylmalonyl succinylcarnitine were significant biomarkers for the onset of COVID-19 infection and tauroursodeoxycholic acid were potential biomarkers for disease progression. Measuring blood parameters enhanced the predictive power of metabolic signatures during critical illness. CONCLUSIONS Metabolomic signatures are distinctive for each stage of COVID-19 infection. This has great translation potential as it opens new therapeutic and diagnostic prospective based on key metabolites.
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Affiliation(s)
- Gamalat A. Elgedawy
- Department of Clinical Biochemistry and Molecular Diagnostics, National Liver Institute, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Mohamed Samir
- Faculty of Veterinary Medicine, Department of Zoonoses, Zagazig University, Zagazig, Egypt
| | - Naglaa S. Elabd
- Faculty of Medicine, Department of Tropical Medicine, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Hala H. Elsaid
- Department of Clinical Biochemistry and Molecular Diagnostics, National Liver Institute, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Mohamed Enar
- Al Mahala Elkobra Fever Hospital, Al Mahala Elkobra, Egypt
| | - Radwa H. Salem
- Department of Clinical Microbiology and Immunology, National Liver Institute, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Belal A. Montaser
- Faculty of Medicine, Department of Clinical Pathology, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Hind S. AboShabaan
- Ph.D. of Biochemistry, National Liver Institute Hospital, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Randa M. Seddik
- Faculty of Medicine, Department of Tropical Medicine, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Shimaa M. El-Askaeri
- Department of Clinical Microbiology and Immunology, National Liver Institute, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Marwa M. Omar
- Faculty of Medicine, Department of Clinical Pathology, Menoufia University, Shebin El-Kom, Menoufia, Egypt
| | - Marwa L. Helal
- Department of Clinical Biochemistry and Molecular Diagnostics, National Liver Institute, Menoufia University, Shebin El-Kom, Menoufia, Egypt
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Laro J, Xue B, Zheng J, Ness M, Perlman S, McCall LI. SARS-CoV-2 infection unevenly impacts metabolism in the coronal periphery of the lungs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.22.595414. [PMID: 38952797 PMCID: PMC11216382 DOI: 10.1101/2024.05.22.595414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
COVID-19 significantly decreases amino acids, fatty acids, and most eicosanoidsSARS-CoV-2 preferentially localizes to central lung tissueMetabolic disturbance is highest in peripheral tissue, not central like viral loadSpatial metabolomics allows detection of metabolites not altered overallSARS-CoV-2, the virus responsible for COVID-19, is a highly contagious virus that can lead to hospitalization and death. COVID-19 is characterized by its involvement in the lungs, particularly the lower lobes. To improve patient outcomes and treatment options, a better understanding of how SARS-CoV-2 impacts the body, particularly the lower respiratory system, is required. In this study, we sought to understand the spatial impact of COVID-19 on the lungs of mice infected with mouse-adapted SARS2-N501Y MA30 . Overall, infection caused a decrease in fatty acids, amino acids, and most eicosanoids. When analyzed by segment, viral loads were highest in central lung tissue, while metabolic disturbance was highest in peripheral tissue. Infected peripheral lung tissue was characterized by lower levels of fatty acids and amino acids when compared to central lung tissue. This study highlights the spatial impacts of SARS-CoV-2 and helps explain why peripheral lung tissue is most damaged by COVID-19.
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Abdallah AM, Doudin A, Sulaiman TO, Jamil O, Arif R, Sada FA, Yassine HM, Elrayess MA, Elzouki AN, Emara MM, Thillaiappan NB, Cyprian FS. Metabolic predictors of COVID-19 mortality and severity: a survival analysis. Front Immunol 2024; 15:1353903. [PMID: 38799469 PMCID: PMC11127595 DOI: 10.3389/fimmu.2024.1353903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/15/2024] [Indexed: 05/29/2024] Open
Abstract
Introduction The global healthcare burden of COVID-19 pandemic has been unprecedented with a high mortality. Metabolomics, a powerful technique, has been increasingly utilized to study the host response to infections and to understand the progression of multi-system disorders such as COVID-19. Analysis of the host metabolites in response to SARS-CoV-2 infection can provide a snapshot of the endogenous metabolic landscape of the host and its role in shaping the interaction with SARS-CoV-2. Disease severity and consequently the clinical outcomes may be associated with a metabolic imbalance related to amino acids, lipids, and energy-generating pathways. Hence, the host metabolome can help predict potential clinical risks and outcomes. Methods In this prospective study, using a targeted metabolomics approach, we studied the metabolic signature in 154 COVID-19 patients (males=138, age range 48-69 yrs) and related it to disease severity and mortality. Blood plasma concentrations of metabolites were quantified through LC-MS using MxP Quant 500 kit, which has a coverage of 630 metabolites from 26 biochemical classes including distinct classes of lipids and small organic molecules. We then employed Kaplan-Meier survival analysis to investigate the correlation between various metabolic markers, disease severity and patient outcomes. Results A comparison of survival outcomes between individuals with high levels of various metabolites (amino acids, tryptophan, kynurenine, serotonin, creatine, SDMA, ADMA, 1-MH and carnitine palmitoyltransferase 1 and 2 enzymes) and those with low levels revealed statistically significant differences in survival outcomes. We further used four key metabolic markers (tryptophan, kynurenine, asymmetric dimethylarginine, and 1-Methylhistidine) to develop a COVID-19 mortality risk model through the application of multiple machine-learning methods. Conclusions Metabolomics analysis revealed distinct metabolic signatures among different severity groups, reflecting discernible alterations in amino acid levels and perturbations in tryptophan metabolism. Notably, critical patients exhibited higher levels of short chain acylcarnitines, concomitant with higher concentrations of SDMA, ADMA, and 1-MH in severe cases and non-survivors. Conversely, levels of 3-methylhistidine were lower in this context.
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Affiliation(s)
| | - Asmma Doudin
- Biomedical Research Center (BRC), Qatar University, Doha, Qatar
| | - Theeb Osama Sulaiman
- Department of Medicine, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Omar Jamil
- Department of Radiology, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Rida Arif
- Emergency Medicine Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Fatima Al Sada
- Neurosurgery Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Hadi M. Yassine
- Biomedical Research Center (BRC), Qatar University, Doha, Qatar
| | - Mohamed A. Elrayess
- College of Medicine, Qatar University (QU) Health, Qatar University, Doha, Qatar
- Biomedical Research Center (BRC), Qatar University, Doha, Qatar
| | - Abdel-Naser Elzouki
- College of Medicine, Qatar University (QU) Health, Qatar University, Doha, Qatar
- Department of Medicine, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Mohamed M. Emara
- College of Medicine, Qatar University (QU) Health, Qatar University, Doha, Qatar
| | | | - Farhan S. Cyprian
- College of Medicine, Qatar University (QU) Health, Qatar University, Doha, Qatar
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Whiley L, Lawler NG, Zeng AX, Lee A, Chin ST, Bizkarguenaga M, Bruzzone C, Embade N, Wist J, Holmes E, Millet O, Nicholson JK, Gray N. Cross-Validation of Metabolic Phenotypes in SARS-CoV-2 Infected Subpopulations Using Targeted Liquid Chromatography-Mass Spectrometry (LC-MS). J Proteome Res 2024; 23:1313-1327. [PMID: 38484742 PMCID: PMC11002931 DOI: 10.1021/acs.jproteome.3c00797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 04/06/2024]
Abstract
To ensure biological validity in metabolic phenotyping, findings must be replicated in independent sample sets. Targeted workflows have long been heralded as ideal platforms for such validation due to their robust quantitative capability. We evaluated the capability of liquid chromatography-mass spectrometry (LC-MS) assays targeting organic acids and bile acids to validate metabolic phenotypes of SARS-CoV-2 infection. Two independent sample sets were collected: (1) Australia: plasma, SARS-CoV-2 positive (n = 20), noninfected healthy controls (n = 22) and COVID-19 disease-like symptoms but negative for SARS-CoV-2 infection (n = 22). (2) Spain: serum, SARS-CoV-2 positive (n = 33) and noninfected healthy controls (n = 39). Multivariate modeling using orthogonal projections to latent structures discriminant analyses (OPLS-DA) classified healthy controls from SARS-CoV-2 positive (Australia; R2 = 0.17, ROC-AUC = 1; Spain R2 = 0.20, ROC-AUC = 1). Univariate analyses revealed 23 significantly different (p < 0.05) metabolites between healthy controls and SARS-CoV-2 positive individuals across both cohorts. Significant metabolites revealed consistent perturbations in cellular energy metabolism (pyruvic acid, and 2-oxoglutaric acid), oxidative stress (lactic acid, 2-hydroxybutyric acid), hypoxia (2-hydroxyglutaric acid, 5-aminolevulinic acid), liver activity (primary bile acids), and host-gut microbial cometabolism (hippuric acid, phenylpropionic acid, indole-3-propionic acid). These data support targeted LC-MS metabolic phenotyping workflows for biological validation in independent sample sets.
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Affiliation(s)
- Luke Whiley
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Nathan G. Lawler
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Annie Xu Zeng
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Alex Lee
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Sung-Tong Chin
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Maider Bizkarguenaga
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Chiara Bruzzone
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Nieves Embade
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Julien Wist
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
| | - Elaine Holmes
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Department
of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial
College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K.
| | - Oscar Millet
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Jeremy K. Nicholson
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Institute
of Global Health Innovation, Faculty Building South Kensington Campus, Imperial College London, London SW7 2AZ, U.K.
| | - Nicola Gray
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
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6
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Sertbas M, Ulgen KO. Uncovering the Effect of SARS-CoV-2 on Liver Metabolism via Genome-Scale Metabolic Modeling for Reprogramming and Therapeutic Strategies. ACS OMEGA 2024; 9:15535-15546. [PMID: 38585079 PMCID: PMC10993323 DOI: 10.1021/acsomega.4c00392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 04/09/2024]
Abstract
Genome-scale metabolic models (GEMs) are promising computational tools that contribute to elucidating host-virus interactions at the system level and developing therapeutic strategies against viral infection. In this study, the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on liver metabolism was investigated using integrated GEMs of human hepatocytes and SARS-CoV-2. They were generated for uninfected and infected hepatocytes using transcriptome data. Reporter metabolite analysis resulted in significant transcriptional changes around several metabolites involved in xenobiotics, drugs, arachidonic acid, and leukotriene metabolisms due to SARS-CoV-2 infection. Flux balance analysis and minimization of metabolic adjustment approaches unraveled possible virus-induced hepatocellular reprogramming in fatty acid, glycerophospholipid, sphingolipid cholesterol, and folate metabolisms, bile acid biosynthesis, and carnitine shuttle among others. Reaction knockout analysis provided critical reactions in glycolysis, oxidative phosphorylation, purine metabolism, and reactive oxygen species detoxification subsystems. Computational analysis also showed that administration of dopamine, glucosamine, D-xylose, cysteine, and (R)-3-hydroxybutanoate contributes to alleviating viral infection. In essence, the reconstructed host-virus GEM helps us understand metabolic programming and develop therapeutic strategies to battle SARS-CoV-2.
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Affiliation(s)
- Mustafa Sertbas
- Department of Chemical Engineering, Bogazici University, 34342 Istanbul, Turkey
| | - Kutlu O. Ulgen
- Department of Chemical Engineering, Bogazici University, 34342 Istanbul, Turkey
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7
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Lee CH, Banoei MM, Ansari M, Cheng MP, Lamontagne F, Griesdale D, Lasry DE, Demir K, Dhingra V, Tran KC, Lee T, Burns K, Sweet D, Marshall J, Slutsky A, Murthy S, Singer J, Patrick DM, Lee TC, Boyd JH, Walley KR, Fowler R, Haljan G, Vinh DC, Mcgeer A, Maslove D, Mann P, Donohoe K, Hernandez G, Rocheleau G, Trahtemberg U, Kumar A, Lou M, Dos Santos C, Baker A, Russell JA, Winston BW. Using a targeted metabolomics approach to explore differences in ARDS associated with COVID-19 compared to ARDS caused by H1N1 influenza and bacterial pneumonia. Crit Care 2024; 28:63. [PMID: 38414082 PMCID: PMC10900651 DOI: 10.1186/s13054-024-04843-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/19/2024] [Indexed: 02/29/2024] Open
Abstract
RATIONALE Acute respiratory distress syndrome (ARDS) is a life-threatening critical care syndrome commonly associated with infections such as COVID-19, influenza, and bacterial pneumonia. Ongoing research aims to improve our understanding of ARDS, including its molecular mechanisms, individualized treatment options, and potential interventions to reduce inflammation and promote lung repair. OBJECTIVE To map and compare metabolic phenotypes of different infectious causes of ARDS to better understand the metabolic pathways involved in the underlying pathogenesis. METHODS We analyzed metabolic phenotypes of 3 ARDS cohorts caused by COVID-19, H1N1 influenza, and bacterial pneumonia compared to non-ARDS COVID-19-infected patients and ICU-ventilated controls. Targeted metabolomics was performed on plasma samples from a total of 150 patients using quantitative LC-MS/MS and DI-MS/MS analytical platforms. RESULTS Distinct metabolic phenotypes were detected between different infectious causes of ARDS. There were metabolomics differences between ARDSs associated with COVID-19 and H1N1, which include metabolic pathways involving taurine and hypotaurine, pyruvate, TCA cycle metabolites, lysine, and glycerophospholipids. ARDSs associated with bacterial pneumonia and COVID-19 differed in the metabolism of D-glutamine and D-glutamate, arginine, proline, histidine, and pyruvate. The metabolic profile of COVID-19 ARDS (C19/A) patients admitted to the ICU differed from COVID-19 pneumonia (C19/P) patients who were not admitted to the ICU in metabolisms of phenylalanine, tryptophan, lysine, and tyrosine. Metabolomics analysis revealed significant differences between C19/A, H1N1/A, and PNA/A vs ICU-ventilated controls, reflecting potentially different disease mechanisms. CONCLUSION Different metabolic phenotypes characterize ARDS associated with different viral and bacterial infections.
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Affiliation(s)
- Chel Hee Lee
- Department of Critical Care Medicine, University of Calgary, Alberta, Canada
| | - Mohammad M Banoei
- Department of Critical Care Medicine, University of Calgary, Alberta, Canada
| | - Mariam Ansari
- Department of Critical Care Medicine, University of Calgary, Alberta, Canada
| | - Matthew P Cheng
- Divisions of Infectious Diseases & Medical Microbiology, McGill University Health Center, McGill's Interdisciplinary Initiative in Infection and Immunity, Montreal, PQ, Canada
| | | | - Donald Griesdale
- Critical Care Medicine, Vancouver General Hospital and University of British Columbia, 2775 Laurel St, Vancouver, BC, V5Z 1M9, Canada
| | - David E Lasry
- Divisions of Infectious Diseases & Medical Microbiology, McGill University Health Center, McGill's Interdisciplinary Initiative in Infection and Immunity, Montreal, PQ, Canada
| | - Koray Demir
- Divisions of Infectious Diseases & Medical Microbiology, McGill University Health Center, McGill's Interdisciplinary Initiative in Infection and Immunity, Montreal, PQ, Canada
| | - Vinay Dhingra
- Critical Care Medicine, Vancouver General Hospital and University of British Columbia, 2775 Laurel St, Vancouver, BC, V5Z 1M9, Canada
| | - Karen C Tran
- Division of General Internal Medicine, Vancouver General Hospital and University of British Columbia, 2775 Laurel St, Vancouver, BC, V5Z 1M9, Canada
| | - Terry Lee
- Centre for Health Evaluation and Outcome Science (CHEOS), St. Paul's Hospital and University of British Columbia, 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada
| | - Kevin Burns
- Department of Medicine, Division of Nephrology, Ottawa Hospital Research Institute, and University of Ottawa, 1967 Riverside Dr., Rm. 535, Ottawa, ON, K1H 7W9, Canada
| | - David Sweet
- Critical Care Medicine and Emergency Medicine, Vancouver General Hospital and University of British Columbia, 2775 Laurel St, Vancouver, BC, V5Z 1M9, Canada
| | - John Marshall
- Department of Surgery, St. Michael's Hospital and University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Arthur Slutsky
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Srinivas Murthy
- British Columbia Children's Hospital, University of British Columbia, 4500 Oak Street, Vancouver, BC, V6H 3N1, Canada
| | - Joel Singer
- Centre for Health Evaluation and Outcome Science (CHEOS), St. Paul's Hospital and University of British Columbia, 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada
| | - David M Patrick
- British Columbia Centre for Disease Control (BCCDC) and School of Population and Public Health, University of British Columbia, 655 West 12th Avenue, Vancouver, BC, V5Z 4R4, Canada
| | - Todd C Lee
- Divisions of Infectious Diseases & Medical Microbiology, McGill University Health Center, McGill's Interdisciplinary Initiative in Infection and Immunity, Montreal, PQ, Canada
| | - John H Boyd
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
- Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Keith R Walley
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
- Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Robert Fowler
- Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Greg Haljan
- Department of Medicine and Critical Care Medicine, Surrey Memorial Hospital, 13750 96th Avenue, Surrey, BC, V3V 1Z2, Canada
| | - Donald C Vinh
- Divisions of Infectious Diseases & Medical Microbiology, McGill University Health Center, McGill's Interdisciplinary Initiative in Infection and Immunity, Montreal, PQ, Canada
| | - Alison Mcgeer
- Mt. Sinai Hospital and University of Toronto, 600 University Avenue, Toronto, ON, M5G 1X5, Canada
| | - David Maslove
- Department of Critical Care, Kingston General Hospital and Queen's University, 76 Stuart Street, Kingston, ON, K7L 2V7, Canada
| | | | | | | | | | - Uriel Trahtemberg
- Department of Critical Care, Galilee Medical Center, Nahariya, Israel
- Bar Ilan University, Ramat Gan, Israel
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Anand Kumar
- Departments of Medicine and Medical Microbiology, University of Manitoba, Winnipeg, Canada
| | - Ma Lou
- Departments of Medicine and Medical Microbiology, University of Manitoba, Winnipeg, Canada
| | - Claudia Dos Santos
- Department of Medicine and Interdepartmental Division of Critical Care, University of Toronto, Toronto, Canada
| | - Andrew Baker
- Departments of Critical Care and Anesthesia, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - James A Russell
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
- Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Brent W Winston
- Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology, University of Calgary, Health Research Innovation Center (HRIC), Room 4C64, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
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8
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Delafiori J, Siciliano RF, de Oliveira AN, Nicolau JC, Sales GM, Dalçóquio TF, Busanello ENB, Eguti A, de Oliveira DN, Bertolin AJ, Dos Santos LA, Salsoso R, Marcondes-Braga FG, Durán N, Júnior MWP, Sabino EC, Reis LO, Fávaro WJ, Catharino RR. Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment. J Mol Med (Berl) 2024; 102:183-195. [PMID: 38010437 DOI: 10.1007/s00109-023-02396-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/29/2023]
Abstract
As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions. KEY MESSAGES: Skin imprints complement plasma in disease metabolomics. The annotated markers have a role in immunomodulation and metabolic diseases. Skin imprints outperformed plasma samples at assessing disease severity. Skin imprints have potential as non-invasive sampling strategy for COVID-19.
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Affiliation(s)
- Jeany Delafiori
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Rinaldo Focaccia Siciliano
- Clinical Division of Infectious and Parasitic Diseases, University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Arnaldo, 455 - 01246-903 - Cerqueira César, São Paulo, SP, Brazil
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Arthur Noin de Oliveira
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - José Carlos Nicolau
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Geovana Manzan Sales
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Talia Falcão Dalçóquio
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Estela Natacha Brandt Busanello
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Adriana Eguti
- Sumaré State Hospital, Sumaré, Brazil - Av. da Amizade, 2400 - 13175-490 - Jardim Bela Vista, Sumaré, SP, Brazil
| | - Diogo Noin de Oliveira
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Adriadne Justi Bertolin
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Luiz Augusto Dos Santos
- Paulínia Municipal Hospital, Paulínia, Brazil - Rua Miguel Vicente Cury, 100 - 13140-000 - Nova Paulínia, Paulínia, SP, Brazil
| | - Rocío Salsoso
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Fabiana G Marcondes-Braga
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Nelson Durán
- Laboratory of Urogenital Carcinogenesis and Immunotherapy, University of Campinas, Campinas, Brazil - Av. Bertrand Russel, s/n - 13083-865 - Cidade Universitária Zeferino Vaz, Campina, SP, Brazil
| | | | - Ester Cerdeira Sabino
- Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil - Avenida Dr. Enéas Carvalho de Aguiar, 470 - 05403-000 - Cerqueira César, São Paulo, SP, Brazil
| | - Leonardo Oliveira Reis
- UroScience Laboratory, University of Campinas, Campinas, Brazil - Rua Tessália Vieira de Camargo, 126 - 13083-887 - Cidade, Universitária Zeferino Vaz, Campinas, SP, Brazil
- Center for Life Sciences, Pontifical Catholic University of Campinas, PUC-Campinas, Brazil - Av. John Boyd Dunlop, s/n - 13060-904 - Jd. Ipaussurama, Campinas, SP, Brazil
| | - Wagner José Fávaro
- Laboratory of Urogenital Carcinogenesis and Immunotherapy, University of Campinas, Campinas, Brazil - Av. Bertrand Russel, s/n - 13083-865 - Cidade Universitária Zeferino Vaz, Campina, SP, Brazil
| | - Rodrigo Ramos Catharino
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil.
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9
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Chatelaine HAS, Chen Y, Braisted J, Chu SH, Chen Q, Stav M, Begum S, Diray-Arce J, Sanjak J, Huang M, Lasky-Su J, Mathé EA. Nucleotide, Phospholipid, and Kynurenine Metabolites Are Robustly Associated with COVID-19 Severity and Time of Plasma Sample Collection in a Prospective Cohort Study. Int J Mol Sci 2023; 25:346. [PMID: 38203516 PMCID: PMC10779247 DOI: 10.3390/ijms25010346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/28/2023] [Accepted: 12/04/2023] [Indexed: 01/12/2024] Open
Abstract
Understanding the molecular underpinnings of disease severity and progression in human studies is necessary to develop metabolism-related preventative strategies for severe COVID-19. Metabolites and metabolic pathways that predispose individuals to severe disease are not well understood. In this study, we generated comprehensive plasma metabolomic profiles in >550 patients from the Longitudinal EMR and Omics COVID-19 Cohort. Samples were collected before (n = 441), during (n = 86), and after (n = 82) COVID-19 diagnosis, representing 555 distinct patients, most of which had single timepoints. Regression models adjusted for demographics, risk factors, and comorbidities, were used to determine metabolites associated with predisposition to and/or persistent effects of COVID-19 severity, and metabolite changes that were transient/lingering over the disease course. Sphingolipids/phospholipids were negatively associated with severity and exhibited lingering elevations after disease, while modified nucleotides were positively associated with severity and had lingering decreases after disease. Cytidine and uridine metabolites, which were positively and negatively associated with COVID-19 severity, respectively, were acutely elevated, reflecting the particular importance of pyrimidine metabolism in active COVID-19. This is the first large metabolomics study using COVID-19 plasma samples before, during, and/or after disease. Our results lay the groundwork for identifying putative biomarkers and preventive strategies for severe COVID-19.
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Affiliation(s)
- Haley A. S. Chatelaine
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; (H.A.S.C.)
| | - Yulu Chen
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - John Braisted
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; (H.A.S.C.)
| | - Su H. Chu
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Qingwen Chen
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Meryl Stav
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Sofina Begum
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Joann Diray-Arce
- Precision Vaccines Program, Boston Children’s Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Jaleal Sanjak
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; (H.A.S.C.)
| | - Mengna Huang
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ewy A. Mathé
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; (H.A.S.C.)
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10
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Mwangi VI, Netto RLA, Borba MGS, Santos GF, Lima GS, Machado LS, Yakubu MN, Val FFA, Sampaio VS, Sartim MA, Koolen HHF, Costa AG, Toméi MCM, Guimarães TP, Chaves AR, Vaz BG, Lacerda MVG, Monteiro WM, Gardinassi LG, Melo GC. Methylprednisolone therapy induces differential metabolic trajectories in severe COVID-19 patients. mSystems 2023; 8:e0072623. [PMID: 37874139 PMCID: PMC10734516 DOI: 10.1128/msystems.00726-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 09/17/2023] [Indexed: 10/25/2023] Open
Abstract
IMPORTANCE The SARS-CoV-2 virus infection in humans induces significant inflammatory and systemic reactions and complications of which corticosteroids like methylprednisolone have been recommended as treatment. Our understanding of the metabolic and metabolomic pathway dysregulations while using intravenous corticosteroids in COVID-19 is limited. This study will help enlighten the metabolic and metabolomic pathway dysregulations underlying high daily doses of intravenous methylprednisolone in COVID-19 patients compared to those receiving placebo. The information on key metabolites and pathways identified in this study together with the crosstalk with the inflammation and biochemistry components may be used, in the future, to leverage the use of methylprednisolone in any future pandemics from the coronavirus family.
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Affiliation(s)
- Victor I. Mwangi
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
| | - Rebeca L. A. Netto
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
| | - Mayla G. S. Borba
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
| | - Gabriel F. Santos
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Gesiane S. Lima
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Lucas S. Machado
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Michael N. Yakubu
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
| | - Fernando F. A. Val
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
- Programa de Pós-Graduação em Ciência da Saúde, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil
- Programa de Pós-Graduação em Ciências do Movimento Humano, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil
| | - Vanderson S. Sampaio
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
- Instituto Todos pela Saúde, São Paulo, São Paulo, Brazil
| | - Marco A. Sartim
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
- Pró-reitoria de Pesquisa e Pós-graduação, Universidade Nilton Lins, Manaus, Amazonas, Brazil
| | - Hector H. F. Koolen
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Grupo de Pesquisa em Metabolômica e Espectrometria de Massas, Universidade do Estado do Amazonas, Manaus, Amazonas, Brazil
| | - Allyson G. Costa
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
- Programa de Pós-Graduação em Imunologia Básica e Aplicada, Instituto de Ciências Biológicas, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil
- Diretoria de Ensino e Pesquisa, Fundação Hospitalar de Hematologia e Hemoterapia do Amazonas (HEMOAM), Manaus, Amazonas, Brazil
- Escola de Enfermagem de Manaus, Universidade Federal do Amazonas (UFAM), Manaus, Amazonas, Brazil
- Programa de Pós-graduação em Ciências Aplicadas à Hematologia (PPGH-UEA/HEMOAM), Manaus, Amazonas, Brazil
| | - Maria C. M. Toméi
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brazil
| | - Tiago P. Guimarães
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brazil
| | - Andrea R. Chaves
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Boniek G. Vaz
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Marcus V. G. Lacerda
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
- Instituto Leônidas & Maria Deane/Fundação Oswaldo Cruz (ILMD/Fiocruz Amazônia), Manaus, Amazonas, Brazil
| | - Wuelton M. Monteiro
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
| | - Luiz G. Gardinassi
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás (UFG), Goiânia, Goiás, Brazil
| | - Gisely C. Melo
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil
- Fundação de Medicina Tropical Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil
- Programa de Pós-graduação em Ciências Aplicadas à Hematologia (PPGH-UEA/HEMOAM), Manaus, Amazonas, Brazil
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11
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Miguel V, Rey-Serra C, Tituaña J, Sirera B, Alcalde-Estévez E, Herrero JI, Ranz I, Fernández L, Castillo C, Sevilla L, Nagai J, Reimer KC, Jansen J, Kramann R, Costa IG, Castro A, Sancho D, Rodríguez González-Moro JM, Lamas S. Enhanced fatty acid oxidation through metformin and baicalin as therapy for COVID-19 and associated inflammatory states in lung and kidney. Redox Biol 2023; 68:102957. [PMID: 37977043 PMCID: PMC10682832 DOI: 10.1016/j.redox.2023.102957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/01/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
Progressive respiratory failure is the primary cause of death in the coronavirus disease 2019 (COVID-19) pandemic. It is the final outcome of the acute respiratory distress syndrome (ARDS), characterized by an initial exacerbated inflammatory response, metabolic derangement and ultimate tissue scarring. A positive balance of cellular energy may result crucial for the recovery of clinical COVID-19. Hence, we asked if two key pathways involved in cellular energy generation, AMP-activated protein kinase (AMPK)/acetyl-CoA carboxylase (ACC) signaling and fatty acid oxidation (FAO) could be beneficial. We tested the drugs metformin (AMPK activator) and baicalin (CPT1A activator) in different experimental models mimicking COVID-19 associated inflammation in lung and kidney. We also studied two different cohorts of COVID-19 patients that had been previously treated with metformin. These drugs ameliorated lung damage in an ARDS animal model, while activation of AMPK/ACC signaling increased mitochondrial function and decreased TGF-β-induced fibrosis, apoptosis and inflammation markers in lung epithelial cells. Similar results were observed with two indole derivatives, IND6 and IND8 with AMPK activating capacity. Consistently, a reduced time of hospitalization and need of intensive care was observed in COVID-19 patients previously exposed to metformin. Baicalin also mitigated the activation of pro-inflammatory bone marrow-derived macrophages (BMDMs) and reduced kidney fibrosis in two animal models of kidney injury, another key target of COVID-19. In human epithelial lung and kidney cells, both drugs improved mitochondrial function and prevented TGF-β-induced renal epithelial cell dedifferentiation. Our results support that favoring cellular energy production through enhanced FAO may prove useful in the prevention of COVID-19-induced lung and renal damage.
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Affiliation(s)
- Verónica Miguel
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029, Madrid, Spain.
| | - Carlos Rey-Serra
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - Jessica Tituaña
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - Belén Sirera
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - Elena Alcalde-Estévez
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - J Ignacio Herrero
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - Irene Ranz
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - Laura Fernández
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain
| | - Carolina Castillo
- Department of Pathology. University Hospital "Príncipe de Asturias", Alcalá de Henares, Madrid, Spain
| | - Lucía Sevilla
- Department of Pneumology, University Hospital "Principe de Asturias", Alcala de Henares, Madrid, Spain
| | - James Nagai
- Institute for Computational Genomics, RWTH Aachen University Hospital, Aachen, Germany; Joint Research Center for Computational Biomedicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Katharina C Reimer
- Department of Medicine 2, Nephrology, Rheumatology and Immunology, RWTH Aachen University, Medical Faculty, Aachen, Germany; Institute for Biomedical Technologies, Department of Cell Biology, RWTH Aachen University, Aachen, Germany
| | - Jitske Jansen
- Department of Medicine 2, Nephrology, Rheumatology and Immunology, RWTH Aachen University, Medical Faculty, Aachen, Germany; Department of Pathology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rafael Kramann
- Department of Medicine 2, Nephrology, Rheumatology and Immunology, RWTH Aachen University, Medical Faculty, Aachen, Germany
| | - Ivan G Costa
- Institute for Computational Genomics, RWTH Aachen University Hospital, Aachen, Germany; Joint Research Center for Computational Biomedicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Ana Castro
- Instituto de Química Medica (IQM-CSIC), Juan de la Cierva 3, 28006, Madrid, Spain
| | - David Sancho
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029, Madrid, Spain
| | | | - Santiago Lamas
- Program of Physiological and Pathological Processes, Centro de Biología Molecular "Severo Ochoa" (CBMSO) (CSIC-UAM), Madrid, Spain.
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12
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Ren L, Ning L, Yang Y, Yang T, Li X, Tan S, Ge P, Li S, Luo N, Tao P, Zhang Y. MetaboliteCOVID: A manually curated database of metabolite markers for COVID-19. Comput Biol Med 2023; 167:107661. [PMID: 37925911 DOI: 10.1016/j.compbiomed.2023.107661] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/07/2023] [Accepted: 10/31/2023] [Indexed: 11/07/2023]
Abstract
In the realm of unraveling COVID-19's intricacies, numerous metabolomic investigations have been conducted to discern the unique metabolic traits exhibited within infected patients. These endeavors have yielded a substantial reservoir of potential data pertaining to metabolic biomarkers linked to the virus. Despite these strides, a comprehensive and meticulously structured database housing these crucial biomarkers remains absent. In this study, we developed MetaboliteCOVID, a manually curated database of COVID-19-related metabolite markers. The database currently comprises 665 manually selected entries of significantly altered metabolites associated with early diagnosis, disease severity, prognosis, and drug response in COVID-19, encompassing 337 metabolites. Additionally, the database offers a user-friendly interface, containing abundant information for querying, browsing, and analyzing COVID-19-related abnormal metabolites in different body fluids. In summary, we believe that this database will effectively facilitate research on the functions and mechanisms of COVID-19-related metabolic biomarkers, thereby advancing both basic and clinical research on COVID-19. MetaboliteCOVID is free available at: https://cellknowledge.com.cn/MetaboliteCOVID.
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Affiliation(s)
- Liping Ren
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China; Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Lin Ning
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Yu Yang
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Ting Yang
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Xinyu Li
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Shanshan Tan
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Peixin Ge
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Shun Li
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, 611844, China
| | - Nanchao Luo
- School of Computer Science and Technology, Aba Teachers College, WenChuan, Sichuan, 623002, China.
| | - Pei Tao
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan, 611731, China.
| | - Yang Zhang
- Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
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13
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Hurtado JI, López-Radcenco A, Izquierdo-García JL, Rodríguez F, Moyna G, Greif G, Nin N. A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients. Front Mol Biosci 2023; 10:1295216. [PMID: 38033387 PMCID: PMC10684917 DOI: 10.3389/fmolb.2023.1295216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
COVID-19 was the most significant infectious-agent-related cause of death in the 2020-2021 period. On average, over 60% of those admitted to ICU facilities with this disease died across the globe. In severe cases, COVID-19 leads to respiratory and systemic compromise, including pneumonia-like symptoms, acute respiratory distress syndrome, and multiorgan failure. While the upper respiratory tract and lungs are the principal sites of infection and injury, most studies on the metabolic signatures in COVID-19 patients have been carried out on serum and plasma samples. In this report we attempt to characterize the metabolome of lung parenchyma extracts from fatal COVID-19 cases and compare them with that from other respiratory diseases. Our findings indicate that the metabolomic profiles from fatal COVID-19 and non-COVID-19 cases are markedly different, with the former being the result of increased lactate and amino acid metabolism, altered energy pathways, oxidative stress, and inflammatory response. Overall, these findings provide additional insights into the pathophysiology of COVID-19 that could lead to the development of targeted therapies for the treatment of severe cases of the disease, and further highlight the potential of metabolomic approaches in COVID-19 research.
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Affiliation(s)
- Joaquín I. Hurtado
- Laboratorio de Interacción Hospedero Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | | | - José Luis Izquierdo-García
- Grupo de Resonancia Magnética Nuclear e Imagen en Biomedicina, Instituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain
- Departamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Fernando Rodríguez
- Centro de Referencia COVID 1, Hospital Español, Administración de Servicios de Salud del Estado, Montevideo, Uruguay
| | - Guillermo Moyna
- Departamento de Química del Litoral, Universidad de la República, Paysandú, Uruguay
| | - Gonzalo Greif
- Laboratorio de Interacción Hospedero Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Nicolás Nin
- Centro de Referencia COVID 1, Hospital Español, Administración de Servicios de Salud del Estado, Montevideo, Uruguay
- Centro de Referencia COVID 2, Instituto Nacional de Ortopedia y Traumatología, Administración de Servicios de Salud del Estado, Montevideo, Uruguay
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14
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Jeong K, Kim Y, Jeon J, Kim K. Subtyping of COVID-19 samples based on cell-cell interaction in single cell transcriptomes. Sci Rep 2023; 13:19629. [PMID: 37949890 PMCID: PMC10638268 DOI: 10.1038/s41598-023-46350-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
In single-cell transcriptome analysis, numerous biomarkers related to COVID-19 severity, including cell subtypes, genes, and pathways, have been identified. Nevertheless, most studies have focused on severity groups based on clinical features, neglecting immunological heterogeneity within the same severity level. In this study, we employed sample-level clustering using cell-cell interaction scores to investigate patient heterogeneity and uncover novel subtypes. The clustering results were validated using external datasets, demonstrating superior reproducibility and purity compared to gene expression- or gene set enrichment-based clustering. Furthermore, the cell-cell interaction score-based clusters exhibited a strong correlation with the WHO ordinal severity score based on clinical characteristics. By characterizing the identified subtypes through known COVID-19 severity-associated biomarkers, we discovered a "Severe-like moderate" subtype. This subtype displayed clinical features akin to moderate cases; however, molecular features, such as gene expression and cell-cell interactions, resembled those of severe cases. Notably, all patients who progressed from moderate to severe belonged to this subtype, underscoring the significance of cell-cell interactions in COVID-19 patient heterogeneity and severity.
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Affiliation(s)
- Kyeonghun Jeong
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, 08826, Republic of Korea
| | - Yooeun Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea
| | - Jaemin Jeon
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea
| | - Kwangsoo Kim
- Department of Transdisciplinary Medicine, Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
- Department of Medicine, Seoul National University, Seoul, 03080, Republic of Korea.
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15
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Palermo A, Li S, Ten Hoeve J, Chellappa A, Morris A, Dillon B, Ma F, Wang Y, Cao E, Shabane B, Acín-Perez R, Petcherski A, Lusis AJ, Hazen S, Shirihai OS, Pellegrini M, Arumugaswami V, Graeber TG, Deb A. A ketogenic diet can mitigate SARS-CoV-2 induced systemic reprogramming and inflammation. Commun Biol 2023; 6:1115. [PMID: 37923961 PMCID: PMC10624922 DOI: 10.1038/s42003-023-05478-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/17/2023] [Indexed: 11/06/2023] Open
Abstract
The ketogenic diet (KD) has demonstrated benefits in numerous clinical studies and animal models of disease in modulating the immune response and promoting a systemic anti-inflammatory state. Here we investigate the effects of a KD on systemic toxicity in mice following SARS-CoV-2 infection. Our data indicate that under KD, SARS-CoV-2 reduces weight loss with overall improved animal survival. Muted multi-organ transcriptional reprogramming and metabolism rewiring suggest that a KD initiates and mitigates systemic changes induced by the virus. We observed reduced metalloproteases and increased inflammatory homeostatic protein transcription in the heart, with decreased serum pro-inflammatory cytokines (i.e., TNF-α, IL-15, IL-22, G-CSF, M-CSF, MCP-1), metabolic markers of inflammation (i.e., kynurenine/tryptophane ratio), and inflammatory prostaglandins, indicative of reduced systemic inflammation in animals infected under a KD. Taken together, these data suggest that a KD can alter the transcriptional and metabolic response in animals following SARS-CoV-2 infection with improved mice health, reduced inflammation, and restored amino acid, nucleotide, lipid, and energy currency metabolism.
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Affiliation(s)
- Amelia Palermo
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- UCLA Metabolomics Center, University of California, Los Angeles, CA, 90095, USA
- Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, 90095, USA
| | - Shen Li
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Genetics, David Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Johanna Ten Hoeve
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- UCLA Metabolomics Center, University of California, Los Angeles, CA, 90095, USA
- Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, 90095, USA
| | - Akshay Chellappa
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Alexandra Morris
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Barbara Dillon
- Department of Environment, Health and Safety, University of California, Los Angeles, CA, 90095, USA
| | - Feiyang Ma
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Yijie Wang
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Genetics, David Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Edward Cao
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Genetics, David Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Byourak Shabane
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Rebeca Acín-Perez
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Anton Petcherski
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - A Jake Lusis
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Stanley Hazen
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, 44195, USA
| | - Orian S Shirihai
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
| | - Vaithilingaraja Arumugaswami
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
| | - Thomas G Graeber
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA.
- UCLA Metabolomics Center, University of California, Los Angeles, CA, 90095, USA.
- Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, 90095, USA.
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA.
| | - Arjun Deb
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA.
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA.
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA.
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA.
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16
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Jessop F, Schwarz B, Bohrnsen E, Bosio CM. Route of Francisella tularensis infection informs spatiotemporal metabolic reprogramming and inflammation in mice. PLoS One 2023; 18:e0293450. [PMID: 37883420 PMCID: PMC10602361 DOI: 10.1371/journal.pone.0293450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023] Open
Abstract
Route of exposure to pathogens can inform divergent disease pathogenesis and mortality rates. However, the features that contribute to these differences are not well established. Host metabolism has emerged as a critical element governing susceptibility and the metabolism of tissue exposure sites are unique. Therefore, specific metabolic niches may contribute to the course and outcome of infection depending on route of infection. In the current study, we utilized a combination of imaging and systems metabolomics to map the spatiotemporal dynamics of the host response to intranasal (i.n.) or intradermal (i.d.) infection of mice using the bacterium Francisella tularensis subsp tularensis (FTT). FTT causes lethal disease through these infection routes with similar inoculation doses and replication kinetics, which allowed for isolation of host outcomes independent of bacterial burden. We observed metabolic modifications that were both route dependent and independent. Specifically, i.d. infection resulted in early metabolic reprogramming at the site of infection and draining lymph nodes, whereas the lungs and associated draining lymph nodes were refractory to metabolic reprogramming following i.n. infection. Irrespective of exposure route, FTT promoted metabolic changes in systemic organs prior to colonization, and caused massive dysregulation of host metabolism in these tissues prior to onset of morbidity. Preconditioning infection sites towards a more glycolytic and pro-inflammatory state prior to infection exacerbated FTT replication within the lungs but not intradermal tissue. This enhancement of replication in the lungs was associated with the ability of FTT to limit redox imbalance and alter the pentose phosphate pathway. Together, these studies identify central metabolic features of the lung and dermal compartments that contribute to disease progression and identify potential tissue specific targets that may be exploited for novel therapeutic approaches.
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Affiliation(s)
- Forrest Jessop
- Rocky Mountain Laboratories, NIAID, Hamilton, MT, United States of America
| | - Benjamin Schwarz
- Rocky Mountain Laboratories, NIAID, Hamilton, MT, United States of America
| | - Eric Bohrnsen
- Rocky Mountain Laboratories, NIAID, Hamilton, MT, United States of America
| | - Catharine M. Bosio
- Rocky Mountain Laboratories, NIAID, Hamilton, MT, United States of America
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17
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Wong AC, Devason AS, Umana IC, Cox TO, Dohnalová L, Litichevskiy L, Perla J, Lundgren P, Etwebi Z, Izzo LT, Kim J, Tetlak M, Descamps HC, Park SL, Wisser S, McKnight AD, Pardy RD, Kim J, Blank N, Patel S, Thum K, Mason S, Beltra JC, Michieletto MF, Ngiow SF, Miller BM, Liou MJ, Madhu B, Dmitrieva-Posocco O, Huber AS, Hewins P, Petucci C, Chu CP, Baraniecki-Zwil G, Giron LB, Baxter AE, Greenplate AR, Kearns C, Montone K, Litzky LA, Feldman M, Henao-Mejia J, Striepen B, Ramage H, Jurado KA, Wellen KE, O'Doherty U, Abdel-Mohsen M, Landay AL, Keshavarzian A, Henrich TJ, Deeks SG, Peluso MJ, Meyer NJ, Wherry EJ, Abramoff BA, Cherry S, Thaiss CA, Levy M. Serotonin reduction in post-acute sequelae of viral infection. Cell 2023; 186:4851-4867.e20. [PMID: 37848036 DOI: 10.1016/j.cell.2023.09.013] [Citation(s) in RCA: 70] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 07/27/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023]
Abstract
Post-acute sequelae of COVID-19 (PASC, "Long COVID") pose a significant global health challenge. The pathophysiology is unknown, and no effective treatments have been found to date. Several hypotheses have been formulated to explain the etiology of PASC, including viral persistence, chronic inflammation, hypercoagulability, and autonomic dysfunction. Here, we propose a mechanism that links all four hypotheses in a single pathway and provides actionable insights for therapeutic interventions. We find that PASC are associated with serotonin reduction. Viral infection and type I interferon-driven inflammation reduce serotonin through three mechanisms: diminished intestinal absorption of the serotonin precursor tryptophan; platelet hyperactivation and thrombocytopenia, which impacts serotonin storage; and enhanced MAO-mediated serotonin turnover. Peripheral serotonin reduction, in turn, impedes the activity of the vagus nerve and thereby impairs hippocampal responses and memory. These findings provide a possible explanation for neurocognitive symptoms associated with viral persistence in Long COVID, which may extend to other post-viral syndromes.
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Affiliation(s)
- Andrea C Wong
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Ashwarya S Devason
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Iboro C Umana
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Timothy O Cox
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lenka Dohnalová
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Molecular Bio Science, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Lev Litichevskiy
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan Perla
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Patrick Lundgren
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zienab Etwebi
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Luke T Izzo
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Jihee Kim
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Monika Tetlak
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hélène C Descamps
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Simone L Park
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Stephen Wisser
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Aaron D McKnight
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan D Pardy
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Junwon Kim
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Niklas Blank
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shaan Patel
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katharina Thum
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sydney Mason
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean-Christophe Beltra
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michaël F Michieletto
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shin Foong Ngiow
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brittany M Miller
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Megan J Liou
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bhoomi Madhu
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Oxana Dmitrieva-Posocco
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Alex S Huber
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter Hewins
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Petucci
- Metabolomics Core, Penn Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Candice P Chu
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gwen Baraniecki-Zwil
- Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Amy E Baxter
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Allison R Greenplate
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Charlotte Kearns
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kathleen Montone
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie A Litzky
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Feldman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jorge Henao-Mejia
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Boris Striepen
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Holly Ramage
- Department of Microbiology and Immunology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Kellie A Jurado
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kathryn E Wellen
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Una O'Doherty
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Alan L Landay
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Ali Keshavarzian
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA; Rush Center for Integrated Microbiome and Chronobiology Research, Chicago, IL, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Nuala J Meyer
- Division of Pulmonary and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - E John Wherry
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin A Abramoff
- Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Sara Cherry
- Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Christoph A Thaiss
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Institute for Obesity, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Maayan Levy
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA, USA.
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18
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Sánchez A, García-Pardo G, Gómez-Bertomeu F, López-Dupla M, Foguet-Romero E, Buzón MJ, Almirante B, Olona M, Fernández-Veledo S, Vidal F, Chafino S, Rull A, Peraire J. Mitochondrial dysfunction, lipids metabolism, and amino acid biosynthesis are key pathways for COVID-19 recovery. iScience 2023; 26:107948. [PMID: 37810253 PMCID: PMC10551651 DOI: 10.1016/j.isci.2023.107948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/29/2023] [Accepted: 09/14/2023] [Indexed: 10/10/2023] Open
Abstract
The metabolic alterations caused by SARS-CoV-2 infection reflect disease progression. To analyze molecules involved in these metabolic changes, a multiomics study was performed using plasma from 103 patients with different degrees of COVID-19 severity during the evolution of the infection. With the increased severity of COVID-19, changes in circulating proteomic, metabolomic, and lipidomic profiles increased. Notably, the group of severe and critical patients with high HRG and ChoE (20:3) and low alpha-ketoglutaric acid levels had a high chance of unfavorable disease evolution (AUC = 0.925). Consequently, patients with the worst prognosis presented alterations in the TCA cycle (mitochondrial dysfunction), lipid metabolism, amino acid biosynthesis, and coagulation. Our findings increase knowledge regarding how SARS-CoV-2 infection affects different metabolic pathways and help in understanding the future consequences of COVID-19 to identify potential therapeutic targets.
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Affiliation(s)
- Alba Sánchez
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
| | - Graciano García-Pardo
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Fréderic Gómez-Bertomeu
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Miguel López-Dupla
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Elisabet Foguet-Romero
- Eurecat, Centre Tecnologic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat - Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Maria José Buzón
- Infectious Diseases Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Infectious Diseases Department, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, (VHIR) Task Force COVID-19, Barcelona, Spain
| | - Benito Almirante
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Infectious Diseases Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Montserrat Olona
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Sonia Fernández-Veledo
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Francesc Vidal
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Silvia Chafino
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Rull
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Joaquim Peraire
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - for the COVIDOMICS Study Group
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Eurecat, Centre Tecnologic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat - Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
- Infectious Diseases Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Infectious Diseases Department, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, (VHIR) Task Force COVID-19, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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19
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El-Derany MO, Hanna DMF, Youshia J, Elmowafy E, Farag MA, Azab SS. Metabolomics-directed nanotechnology in viral diseases management: COVID-19 a case study. Pharmacol Rep 2023; 75:1045-1065. [PMID: 37587394 PMCID: PMC10539420 DOI: 10.1007/s43440-023-00517-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 07/28/2023] [Accepted: 07/28/2023] [Indexed: 08/18/2023]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently regarded as the twenty-first century's plague accounting for coronavirus disease 2019 (COVID-19). Besides its reported symptoms affecting the respiratory tract, it was found to alter several metabolic pathways inside the body. Nanoparticles proved to combat viral infections including COVID-19 to demonstrate great success in developing vaccines based on mRNA technology. However, various types of nanoparticles can affect the host metabolome. Considering the increasing proportion of nano-based vaccines, this review compiles and analyses how COVID-19 and nanoparticles affect lipids, amino acids, and carbohydrates metabolism. A search was conducted on PubMed, ScienceDirect, Web of Science for available information on the interrelationship between metabolomics and immunity in the context of SARS-CoV-2 infection and the effect of nanoparticles on metabolite levels. It was clear that SARS-CoV-2 disrupted several pathways to ensure a sufficient supply of its building blocks to facilitate its replication. Such information can help in developing treatment strategies against viral infections and COVID-19 based on interventions that overcome these metabolic changes. Furthermore, it showed that even drug-free nanoparticles can exert an influence on biological systems as evidenced by metabolomics.
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Affiliation(s)
- Marwa O El-Derany
- Department of Biochemistry, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Diana M F Hanna
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams University, 11566, Cairo, Egypt
| | - John Youshia
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Enas Elmowafy
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Mohamed A Farag
- Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr El-Aini St., P.B. 11562, Cairo, Egypt
| | - Samar S Azab
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams University, 11566, Cairo, Egypt.
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20
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Chen Y, Mendez K, Begum S, Dean E, Chatelaine H, Braisted J, Fangal VD, Cote M, Huang M, Chu SH, Stav M, Chen Q, Prince N, Kelly R, Christopher KB, Diray-Arce J, Mathé EA, Lasky-Su J. The value of prospective metabolomic susceptibility endotypes: broad applicability for infectious diseases. EBioMedicine 2023; 96:104791. [PMID: 37734204 PMCID: PMC10518609 DOI: 10.1016/j.ebiom.2023.104791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND As new infectious diseases (ID) emerge and others continue to mutate, there remains an imminent threat, especially for vulnerable individuals. Yet no generalizable framework exists to identify the at-risk group prior to infection. Metabolomics has the advantage of capturing the existing physiologic state, unobserved via current clinical measures. Furthermore, metabolomics profiling during acute disease can be influenced by confounding factors such as indications, medical treatments, and lifestyles. METHODS We employed metabolomic profiling to cluster infection-free individuals and assessed their relationship with COVID severity and influenza incidence/recurrence. FINDINGS We identified a metabolomic susceptibility endotype that was strongly associated with both severe COVID (ORICUadmission = 6.7, p-value = 1.2 × 10-08, ORmortality = 4.7, p-value = 1.6 × 10-04) and influenza (ORincidence = 2.9; p-values = 2.2 × 10-4, βrecurrence = 1.03; p-value = 5.1 × 10-3). We observed similar severity associations when recapitulating this susceptibility endotype using metabolomics from individuals during and after acute COVID infection. We demonstrate the value of using metabolomic endotyping to identify a metabolically susceptible group for two-and potentially more-IDs that are driven by increases in specific amino acids, including microbial-related metabolites such as tryptophan, bile acids, histidine, polyamine, phenylalanine, and tyrosine metabolism, as well as carbohydrates involved in glycolysis. INTERPRETATIONS These metabolites may be identified prior to infection to enable protective measures for these individuals. FUNDING The Longitudinal EMR and Omics COVID-19 Cohort (LEOCC) and metabolomic profiling were supported by the National Heart, Lung, and Blood Institute and the Intramural Research Program of the National Center for Advancing Translational Sciences, National Institutes of Health.
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Affiliation(s)
- Yulu Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin Mendez
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sofina Begum
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Emily Dean
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Haley Chatelaine
- Division of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA
| | - John Braisted
- Division of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA
| | - Vrushali D Fangal
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Margaret Cote
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mengna Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Su H Chu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Meryl Stav
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qingwen Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicole Prince
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kenneth B Christopher
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joann Diray-Arce
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ewy A Mathé
- Division of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA.
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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21
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Albóniga OE, Moreno E, Martínez-Sanz J, Vizcarra P, Ron R, Díaz-Álvarez J, Rosas Cancio-Suarez M, Sánchez-Conde M, Galán JC, Angulo S, Moreno S, Barbas C, Serrano-Villar S. Differential abundance of lipids and metabolites related to SARS-CoV-2 infection and susceptibility. Sci Rep 2023; 13:15124. [PMID: 37704651 PMCID: PMC10500013 DOI: 10.1038/s41598-023-40999-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/20/2023] [Indexed: 09/15/2023] Open
Abstract
The mechanisms driving SARS-CoV-2 susceptibility remain poorly understood, especially the factors determining why unvaccinated individuals remain uninfected despite high-risk exposures. To understand lipid and metabolite profiles related with COVID-19 susceptibility and disease progression. We collected samples from an exceptional group of unvaccinated healthcare workers heavily exposed to SARS-CoV-2 but not infected ('non-susceptible') and subjects who became infected during the follow-up ('susceptible'), including non-hospitalized and hospitalized patients with different disease severity providing samples at early disease stages. Then, we analyzed their plasma metabolomic profiles using mass spectrometry coupled with liquid and gas chromatography. We show specific lipids profiles and metabolites that could explain SARS-CoV-2 susceptibility and COVID-19 severity. More importantly, non-susceptible individuals show a unique lipidomic pattern characterized by the upregulation of most lipids, especially ceramides and sphingomyelin, which could be interpreted as markers of low susceptibility to SARS-CoV-2 infection. This study strengthens the findings of other researchers about the importance of studying lipid profiles as relevant markers of SARS-CoV-2 pathogenesis.
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Affiliation(s)
- Oihane E Albóniga
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660, Madrid, Spain
| | - Elena Moreno
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Martínez-Sanz
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Vizcarra
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Raquel Ron
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Jorge Díaz-Álvarez
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Rosas Cancio-Suarez
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Matilde Sánchez-Conde
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Carlos Galán
- Department of Microbiology, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERESP, Instituto de Salud Carlos III, Madrid, Spain
| | - Santiago Angulo
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660, Madrid, Spain
| | - Santiago Moreno
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660, Madrid, Spain
| | - Sergio Serrano-Villar
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain.
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain.
- Department of Infectious Diseases, Hospital Universitario Ramon y Cajal, Facultad de Medicina, Universidad de Alcalá (IRYCIS), Carretera de Colmenar Viejo, Km 9.100, 28034, Madrid, Spain.
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22
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Weiss E, de la Peña-Ramirez C, Aguilar F, Lozano JJ, Sánchez-Garrido C, Sierra P, Martin PIB, Diaz JM, Fenaille F, Castelli FA, Gustot T, Laleman W, Albillos A, Alessandria C, Domenicali M, Caraceni P, Piano S, Saliba F, Zeuzem S, Gerbes AL, Wendon JA, Jansen C, Gu W, Papp M, Mookerjee R, Gambino CG, Jiménez C, Giovo I, Zaccherini G, Merli M, Putignano A, Uschner FE, Berg T, Bruns T, Trautwein C, Zipprich A, Bañares R, Presa J, Genesca J, Vargas V, Fernández J, Bernardi M, Angeli P, Jalan R, Claria J, Junot C, Moreau R, Trebicka J, Arroyo V. Sympathetic nervous activation, mitochondrial dysfunction and outcome in acutely decompensated cirrhosis: the metabolomic prognostic models (CLIF-C MET). Gut 2023; 72:1581-1591. [PMID: 36788015 PMCID: PMC10359524 DOI: 10.1136/gutjnl-2022-328708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 01/25/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND AND AIMS Current prognostic scores of patients with acutely decompensated cirrhosis (AD), particularly those with acute-on-chronic liver failure (ACLF), underestimate the risk of mortality. This is probably because systemic inflammation (SI), the major driver of AD/ACLF, is not reflected in the scores. SI induces metabolic changes, which impair delivery of the necessary energy for the immune reaction. This investigation aimed to identify metabolites associated with short-term (28-day) death and to design metabolomic prognostic models. METHODS Two prospective multicentre large cohorts from Europe for investigating ACLF and development of ACLF, CANONIC (discovery, n=831) and PREDICT (validation, n=851), were explored by untargeted serum metabolomics to identify and validate metabolites which could allow improved prognostic modelling. RESULTS Three prognostic metabolites strongly associated with death were selected to build the models. 4-Hydroxy-3-methoxyphenylglycol sulfate is a norepinephrine derivative, which may be derived from the brainstem response to SI. Additionally, galacturonic acid and hexanoylcarnitine are associated with mitochondrial dysfunction. Model 1 included only these three prognostic metabolites and age. Model 2 was built around 4-hydroxy-3-methoxyphenylglycol sulfate, hexanoylcarnitine, bilirubin, international normalised ratio (INR) and age. In the discovery cohort, both models were more accurate in predicting death within 7, 14 and 28 days after admission compared with MELDNa score (C-index: 0.9267, 0.9002 and 0.8424, and 0.9369, 0.9206 and 0.8529, with model 1 and model 2, respectively). Similar results were found in the validation cohort (C-index: 0.940, 0.834 and 0.791, and 0.947, 0.857 and 0.810, with model 1 and model 2, respectively). Also, in ACLF, model 1 and model 2 outperformed MELDNa 7, 14 and 28 days after admission for prediction of mortality. CONCLUSIONS Models including metabolites (CLIF-C MET) reflecting SI, mitochondrial dysfunction and sympathetic system activation are better predictors of short-term mortality than scores based only on organ dysfunction (eg, MELDNa), especially in patients with ACLF.
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Affiliation(s)
- Emmanuel Weiss
- Centre de Recherchesurl' Inflammation (CRI), Universite Paris Diderot, Paris, Île-de-France, France
- INSERM UMR_S1149, University Paris Cite, Paris, France
- Department of Anesthesiology and Critical Care, Hopital Beaujon, Clichy, France
| | | | | | | | | | | | | | | | | | | | - Thierry Gustot
- Department of Hepato Gastroenterology, Erasme Hospital, Université Libre de Bruxelles, Bruxelles, Bruxelles, Belgium
| | - Wim Laleman
- Division of Liver and Biliopanreatic Disorders, KU Leuven, University of Leuven, Leuven, Belgium
| | - Agustín Albillos
- Department of Gastroenterology, Hospital Ramon y Cajal, Madrid, Spain
- Universidad de Alcala de Henares, Madrid, Spain
| | | | - Marco Domenicali
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Center for Applied Biomedical Research (CRBA), S. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Paolo Caraceni
- IRCCS Azienda-Ospedaliera Universitaria di Bologna, Department of Medical and Surgical Science - University of Bologna, Bologna, Italy
| | - Salvatore Piano
- Department of Medicine (DIMED), University of Padova, Padova, Italy
| | - Faouzi Saliba
- Centre Hepato-Biliare, Hopital Paul Brousse, Villejuif, France
| | - Stefan Zeuzem
- Department of Gastroenterology and Hepatology, J. W. Goethe-University Hospital, Frankfurt am Main, Hessen, Germany
| | | | - Julia A Wendon
- Institute of Liver Studies, King's College Hospital, London, UK
| | | | - Wenyi Gu
- Department of Internal Medicine B, University of Münster, Munster, Nordrhein-Westfalen, Germany
| | - Maria Papp
- Department of Internal Medicine, Division of Gastroenterology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Raj Mookerjee
- Institute of Liver and Digestive Health, University College London Medical School, London, UK
| | - Carmine Gabriele Gambino
- Unit of Internal Medicine and Hepatology (UIMH), Department of Medicine - DIMED, University of Padua, Padova, Veneto, Italy
| | | | - Ilaria Giovo
- Azienda Ospedaliero Universitaria Citta della Salute e della Scienza di Torino, Torino, Italy
| | - Giacomo Zaccherini
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Unit of Semeiotics, Liver and Alcohol-related Diseases, University of Bologna Hospital of Bologna Sant'Orsola-Malpighi Polyclinic, Bologna, Italy
| | - Manuela Merli
- II Department of Gastroenterology, "La Sapienza" University, Rome, Italy
| | - Antonella Putignano
- Division of Gastroenterology and Gastrointestinal Endoscopy. Vita-Salute San Raffaele University - Scientific Institute San Raffaele, Milan, Italy
| | | | - Thomas Berg
- Medizinische Klinik, Gastroenterologie und Hepatologie, Berlin, Germany
| | - Tony Bruns
- Department of Medicine III, University Hospital Aachen, Aachen, Germany
| | - Christian Trautwein
- Deptartment of Internal Medicine III, University Hospital Aachen Department of Gastroenterology Metabolic Disorders and Intensive Medicine, Aachen, Germany
| | - Alexander Zipprich
- Department of Internal Medicine IV, Jena University Hospital, Jena, Germany
| | - Rafael Bañares
- Gastroenterology, IRYCIS, Hospital General Universitario Gregorio Marañón, Madrid, Madrid, Spain
| | | | - Joan Genesca
- Internal Medicine-Liver Unit, Hospital Universitari Vall d'Hebron, Barcelona, Barcelona, Spain
- Spain
| | - Victor Vargas
- Liver Unit, Hospital Vall d'Hebron, Barcelona, Barcelona, Spain
| | | | | | - Paolo Angeli
- Department of Clinical and Experimental Medicine, University of Padova, Padova, Italy
| | | | - Joan Claria
- Department of Biochemistry/Molecular Genetics, Hospital Clínic/University of Barcelona, Barcelona, Spain
| | | | - Richard Moreau
- Centre de Recherchesurl' Inflammation (CRI), Universite Paris Diderot, Paris, Île-de-France, France
- EF Clif, Barcelona, Catalunya, Spain
- Hepatology, Hôpital Beaujon, Clichy, France
| | - Jonel Trebicka
- EF Clif, Barcelona, Catalunya, Spain
- Translational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Vicente Arroyo
- European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
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23
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Tian L, Yu T. An integrated deep learning framework for the interpretation of untargeted metabolomics data. Brief Bioinform 2023; 24:bbad244. [PMID: 37369636 DOI: 10.1093/bib/bbad244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 06/02/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Untargeted metabolomics is gaining widespread applications. The key aspects of the data analysis include modeling complex activities of the metabolic network, selecting metabolites associated with clinical outcome and finding critical metabolic pathways to reveal biological mechanisms. One of the key roadblocks in data analysis is not well-addressed, which is the problem of matching uncertainty between data features and known metabolites. Given the limitations of the experimental technology, the identities of data features cannot be directly revealed in the data. The predominant approach for mapping features to metabolites is to match the mass-to-charge ratio (m/z) of data features to those derived from theoretical values of known metabolites. The relationship between features and metabolites is not one-to-one since some metabolites share molecular composition, and various adduct ions can be derived from the same metabolite. This matching uncertainty causes unreliable metabolite selection and functional analysis results. Here we introduce an integrated deep learning framework for metabolomics data that take matching uncertainty into consideration. The model is devised with a gradual sparsification neural network based on the known metabolic network and the annotation relationship between features and metabolites. This architecture characterizes metabolomics data and reflects the modular structure of biological system. Three goals can be achieved simultaneously without requiring much complex inference and additional assumptions: (1) evaluate metabolite importance, (2) infer feature-metabolite matching likelihood and (3) select disease sub-networks. When applied to a COVID metabolomics dataset and an aging mouse brain dataset, our method found metabolic sub-networks that were easily interpretable.
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Affiliation(s)
- Leqi Tian
- School of Data Science, The Chinese University of Hong Kong - Shenzhen, Guangdong, China
- Shenzhen Research Institute of Big Data, Guangdong, China
| | - Tianwei Yu
- School of Data Science, The Chinese University of Hong Kong - Shenzhen, Guangdong, China
- Shenzhen Research Institute of Big Data, Guangdong, China
- Guangdong Provincial Key Laboratory of Big Data Computing, Guangdong, China
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24
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Lodge S, Lawler NG, Gray N, Masuda R, Nitschke P, Whiley L, Bong SH, Yeap BB, Dwivedi G, Spraul M, Schaefer H, Gil-Redondo R, Embade N, Millet O, Holmes E, Wist J, Nicholson JK. Integrative Plasma Metabolic and Lipidomic Modelling of SARS-CoV-2 Infection in Relation to Clinical Severity and Early Mortality Prediction. Int J Mol Sci 2023; 24:11614. [PMID: 37511373 PMCID: PMC10380980 DOI: 10.3390/ijms241411614] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/10/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
An integrative multi-modal metabolic phenotyping model was developed to assess the systemic plasma sequelae of SARS-CoV-2 (rRT-PCR positive) induced COVID-19 disease in patients with different respiratory severity levels. Plasma samples from 306 unvaccinated COVID-19 patients were collected in 2020 and classified into four levels of severity ranging from mild symptoms to severe ventilated cases. These samples were investigated using a combination of quantitative Nuclear Magnetic Resonance (NMR) spectroscopy and Mass Spectrometry (MS) platforms to give broad lipoprotein, lipidomic and amino acid, tryptophan-kynurenine pathway, and biogenic amine pathway coverage. All platforms revealed highly significant differences in metabolite patterns between patients and controls (n = 89) that had been collected prior to the COVID-19 pandemic. The total number of significant metabolites increased with severity with 344 out of the 1034 quantitative variables being common to all severity classes. Metabolic signatures showed a continuum of changes across the respiratory severity levels with the most significant and extensive changes being in the most severely affected patients. Even mildly affected respiratory patients showed multiple highly significant abnormal biochemical signatures reflecting serious metabolic deficiencies of the type observed in Post-acute COVID-19 syndrome patients. The most severe respiratory patients had a high mortality (56.1%) and we found that we could predict mortality in this patient sub-group with high accuracy in some cases up to 61 days prior to death, based on a separate metabolic model, which highlighted a different set of metabolites to those defining the basic disease. Specifically, hexosylceramides (HCER 16:0, HCER 20:0, HCER 24:1, HCER 26:0, HCER 26:1) were markedly elevated in the non-surviving patient group (Cliff's delta 0.91-0.95) and two phosphoethanolamines (PE.O 18:0/18:1, Cliff's delta = -0.98 and PE.P 16:0/18:1, Cliff's delta = -0.93) were markedly lower in the non-survivors. These results indicate that patient morbidity to mortality trajectories is determined relatively soon after infection, opening the opportunity to select more intensive therapeutic interventions to these "high risk" patients in the early disease stages.
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Affiliation(s)
- Samantha Lodge
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Nathan G. Lawler
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Nicola Gray
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Reika Masuda
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
| | - Philipp Nitschke
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
| | - Luke Whiley
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Sze-How Bong
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
| | - Bu B. Yeap
- Medical School, University of Western Australia, Perth, WA 6150, Australia; (B.B.Y.); (G.D.)
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Girish Dwivedi
- Medical School, University of Western Australia, Perth, WA 6150, Australia; (B.B.Y.); (G.D.)
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | | | | | - Rubén Gil-Redondo
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain; (R.G.-R.); (N.E.); (O.M.)
| | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain; (R.G.-R.); (N.E.); (O.M.)
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain; (R.G.-R.); (N.E.); (O.M.)
| | - Elaine Holmes
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, UK
| | - Julien Wist
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Chemistry Department, Universidad del Valle, Cali 76001, Colombia
| | - Jeremy K. Nicholson
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Institute of Global Health Innovation, Faculty of Medicine, Imperial College London, Faculty Building, South Kensington Campus, London SW7 2NA, UK
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25
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Jessop F, Schwarz B, Bohrnsen E, Miltko M, Shaia C, Bosio CM. Targeting 2-Oxoglutarate-Dependent Dioxygenases Promotes Metabolic Reprogramming That Protects against Lethal SARS-CoV-2 Infection in the K18-hACE2 Transgenic Mouse Model. Immunohorizons 2023; 7:528-542. [PMID: 37417946 PMCID: PMC10587500 DOI: 10.4049/immunohorizons.2300048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023] Open
Abstract
Dysregulation of host metabolism is a feature of lethal SARS-CoV-2 infection. Perturbations in α-ketoglutarate levels can elicit metabolic reprogramming through 2-oxoglutarate-dependent dioxygenases (2-ODDGs), leading to stabilization of the transcription factor HIF-1α. HIF1-α activation has been reported to promote antiviral mechanisms against SARS-CoV-2 through direct regulation of ACE2 expression (a receptor required for viral entry). However, given the numerous pathways HIF-1α serves to regulate it is possible that there are other undefined metabolic mechanisms contributing to the pathogenesis of SARS-CoV-2 independent of ACE2 downregulation. In this study, we used in vitro and in vivo models in which HIF-1α modulation of ACE2 expression was negated, allowing for isolated characterization of the host metabolic response within SARS-CoV-2 disease pathogenesis. We demonstrated that SARS-CoV-2 infection limited stabilization of HIF-1α and associated mitochondrial metabolic reprogramming by maintaining activity of the 2-ODDG prolyl hydroxylases. Inhibition of 2-ODDGs with dimethyloxalylglycine promoted HIF-1α stabilization following SARS-CoV-2 infection, and significantly increased survival among SARS-CoV-2-infected mice compared with vehicle controls. However, unlike previous reports, the mechanism by which activation of HIF-1α responses contributed to survival was not through impairment of viral replication. Rather, dimethyloxalylglycine treatment facilitated direct effects on host metabolism including increased glycolysis and resolution of dysregulated pools of metabolites, which correlated with reduced morbidity. Taken together, these data identify (to our knowledge) a novel function of α-ketoglutarate-sensing platforms, including those responsible for HIF-1α stabilization, in the resolution of SARS-CoV-2 infection and support targeting these metabolic nodes as a viable therapeutic strategy to limit disease severity during infection.
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Affiliation(s)
- Forrest Jessop
- Immunity to Pulmonary Pathogens Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Disease, Hamilton, MT
| | - Benjamin Schwarz
- Immunity to Pulmonary Pathogens Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Disease, Hamilton, MT
| | - Eric Bohrnsen
- Immunity to Pulmonary Pathogens Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Disease, Hamilton, MT
| | - Molly Miltko
- Immunity to Pulmonary Pathogens Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Disease, Hamilton, MT
| | - Carl Shaia
- Rocky Mountain Veterinary Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Disease, Hamilton, MT
| | - Catharine M. Bosio
- Immunity to Pulmonary Pathogens Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Disease, Hamilton, MT
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26
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Lopez-Ibañez J, Pazos F, Chagoyen M. MBROLE3: improved functional enrichment of chemical compounds for metabolomics data analysis. Nucleic Acids Res 2023:7161529. [PMID: 37178003 DOI: 10.1093/nar/gkad405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/17/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023] Open
Abstract
MBROLE (Metabolites Biological Role) facilitates the biological interpretation of metabolomics experiments. It performs enrichment analysis of a set of chemical compounds through statistical analysis of annotations from several databases. The original MBROLE server was released in 2011 and, since then, different groups worldwide have used it to analyze metabolomics experiments from a variety of organisms. Here we present the latest version of the system, MBROLE3, accessible at http://csbg.cnb.csic.es/mbrole3. This new version contains updated annotations from previously included databases as well as a wide variety of new functional annotations, such as additional pathway databases and Gene Ontology terms. Of special relevance is the inclusion of a new category of annotations, 'indirect annotations', extracted from the scientific literature and from curated chemical-protein associations. The latter allows to analyze enriched annotations of the proteins known to interact with the set of chemical compounds of interest. Results are provided in the form of interactive tables, formatted data to download, and graphical plots.
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Affiliation(s)
- Javier Lopez-Ibañez
- Computational Systems Biology Group, National Center for Biotechnology (CNB-CSIC), 28049 Madrid, Spain
| | - Florencio Pazos
- Computational Systems Biology Group, National Center for Biotechnology (CNB-CSIC), 28049 Madrid, Spain
| | - Monica Chagoyen
- Computational Systems Biology Group, National Center for Biotechnology (CNB-CSIC), 28049 Madrid, Spain
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27
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Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A. Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 2023; 8:132. [PMID: 36941259 PMCID: PMC10026263 DOI: 10.1038/s41392-023-01399-3] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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Affiliation(s)
- Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150001, China
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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28
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Grabherr S, Waltenspühl A, Büchler L, Lütge M, Cheng HW, Caviezel-Firner S, Ludewig B, Krebs P, Pikor NB. An Innate Checkpoint Determines Immune Dysregulation and Immunopathology during Pulmonary Murine Coronavirus Infection. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:774-785. [PMID: 36715496 PMCID: PMC9986052 DOI: 10.4049/jimmunol.2200533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 12/21/2022] [Indexed: 01/31/2023]
Abstract
Hallmarks of life-threatening, coronavirus-induced disease include dysregulated antiviral immunity and immunopathological tissue injury. Nevertheless, the sampling of symptomatic patients overlooks the initial inflammatory sequela culminating in severe coronavirus-induced disease, leaving a fundamental gap in our understanding of the early mechanisms regulating anticoronavirus immunity and preservation of tissue integrity. In this study, we delineate the innate regulators controlling pulmonary infection using a natural mouse coronavirus. Within hours of infection, the cellular landscape of the lung was transcriptionally remodeled altering host metabolism, protein synthesis, and macrophage maturation. Genetic perturbation revealed that these transcriptional programs were type I IFN dependent and critically controlled both host cell survival and viral spread. Unrestricted viral replication overshooting protective IFN responses culminated in increased IL-1β and alarmin production and triggered compensatory neutrophilia, interstitial inflammation, and vascular injury. Thus, type I IFNs critically regulate early viral burden, which serves as an innate checkpoint determining the trajectory of coronavirus dissemination and immunopathology.
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Affiliation(s)
- Sarah Grabherr
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Alexandra Waltenspühl
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Lorina Büchler
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Mechthild Lütge
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Hung-Wei Cheng
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Sonja Caviezel-Firner
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Burkhard Ludewig
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
- Institute of Experimental Immunology, University of Zürich, Zürich, Switzerland
| | - Philippe Krebs
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Natalia B. Pikor
- Institute of Immunobiology, Medical Research Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
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29
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Berber E, Sumbria D, Kokkaya S. A metabolic blueprint of COVID-19 and long-term vaccine efficacy. Drug Metab Pers Ther 2023; 38:15-29. [PMID: 36166711 DOI: 10.1515/dmpt-2022-0148] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/24/2022] [Indexed: 06/16/2023]
Abstract
Viruses are obligatory protein-coated units and often utilize the metabolic functions of the cells they infect. Viruses hijack cellular metabolic functions and cause consequences that can range from minor to devastating, as we have all witnessed during the COVID-19 pandemic. For understanding the virus-driven pathogenesis and its implications on the host, the cellular metabolism needs to be elucidated. How SARS-CoV-2 triggers metabolic functions and rewires the metabolism remains unidentified but the implications of the metabolic patterns are under investigation by several researchers. In this review, we have described the SARS-CoV-2-mediated metabolic alterations from in vitro studies to metabolic changes reported in victims of COVID-19. We have also discussed potential therapeutic targets to diminish the viral infection and suppress the inflammatory response, with respect to evidenced studies based on COVID-19 research. Finally, we aimed to explain how we could extend vaccine-induced immunity in people by targeting the immunometabolism.
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Affiliation(s)
- Engin Berber
- College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA
| | - Deepak Sumbria
- College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Rampura Phul, Bathinda, India
| | - Serkan Kokkaya
- Faculty of Veterinary Medicine, Bozok University, Yozgat, Turkey
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30
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Gardinassi LG, Servian CDP, Lima GDS, dos Anjos DCC, Gomes Junior AR, Guilarde AO, Borges MASB, dos Santos GF, Moraes BGN, Silva JMM, Masson LC, de Souza FP, da Silva RR, de Araújo GL, Rodrigues MF, da Silva LC, Meira S, Fiaccadori FS, Souza M, Romão PRT, Spadafora Ferreira M, Coelho V, Chaves AR, Simas RC, Vaz BG, Fonseca SG. Integrated Metabolic and Inflammatory Signatures Associated with Severity of, Fatality of, and Recovery from COVID-19. Microbiol Spectr 2023; 11:e0219422. [PMID: 36852984 PMCID: PMC10100880 DOI: 10.1128/spectrum.02194-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 02/04/2023] [Indexed: 03/01/2023] Open
Abstract
Severe manifestations of coronavirus disease 2019 (COVID-19) and mortality have been associated with physiological alterations that provide insights into the pathogenesis of the disease. Moreover, factors that drive recovery from COVID-19 can be explored to identify correlates of protection. The cellular metabolism represents a potential target to improve survival upon severe disease, but the associations between the metabolism and the inflammatory response during COVID-19 are not well defined. We analyzed blood laboratorial parameters, cytokines, and metabolomes of 150 individuals with mild to severe disease, of which 33 progressed to a fatal outcome. A subset of 20 individuals was followed up after hospital discharge and recovery from acute disease. We used hierarchical community networks to integrate metabolomics profiles with cytokines and markers of inflammation, coagulation, and tissue damage. Infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) promotes significant alterations in the plasma metabolome, whose activity varies according to disease severity and correlates with oxygen saturation. Differential metabolism underlying death was marked by amino acids and related metabolites, such as glutamate, glutamyl-glutamate, and oxoproline, and lipids, including progesterone, phosphocholine, and lysophosphatidylcholines (lysoPCs). Individuals who recovered from severe disease displayed persistent alterations enriched for metabolism of purines and phosphatidylinositol phosphate and glycolysis. Recovery of mild disease was associated with vitamin E metabolism. Data integration shows that the metabolic response is a hub connecting other biological features during disease and recovery. Infection by SARS-CoV-2 induces concerted activity of metabolic and inflammatory responses that depend on disease severity and collectively predict clinical outcomes of COVID-19. IMPORTANCE COVID-19 is characterized by diverse clinical outcomes that include asymptomatic to mild manifestations or severe disease and death. Infection by SARS-CoV-2 activates inflammatory and metabolic responses that drive protection or pathology. How inflammation and metabolism communicate during COVID-19 is not well defined. We used high-resolution mass spectrometry to investigate small biochemical compounds (<1,500 Da) in plasma of individuals with COVID-19 and controls. Age, sex, and comorbidities have a profound effect on the plasma metabolites of individuals with COVID-19, but we identified significant activity of pathways and metabolites related to amino acids, lipids, nucleotides, and vitamins determined by disease severity, survival outcome, and recovery. Furthermore, we identified metabolites associated with acute-phase proteins and coagulation factors, which collectively identify individuals with severe disease or individuals who died of severe COVID-19. Our study suggests that manipulating specific metabolic pathways can be explored to prevent hyperinflammation, organ dysfunction, and death.
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Affiliation(s)
- Luiz Gustavo Gardinassi
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Carolina do Prado Servian
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Gesiane da Silva Lima
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Déborah Carolina Carvalho dos Anjos
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Antonio Roberto Gomes Junior
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Adriana Oliveira Guilarde
- Departamento de Medicina Tropical e Dermatologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Moara Alves Santa Bárbara Borges
- Departamento de Medicina Tropical e Dermatologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Gabriel Franco dos Santos
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | | | - João Marcos Maia Silva
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Letícia Carrijo Masson
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Flávia Pereira de Souza
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Rodolfo Rodrigues da Silva
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Giovanna Lopes de Araújo
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Marcella Ferreira Rodrigues
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Lidya Cardozo da Silva
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Sueli Meira
- Laboratório Prof Margarida Dobler Komma, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Fabiola Souza Fiaccadori
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Menira Souza
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Pedro Roosevelt Torres Romão
- Laboratório de Imunologia Celular e Molecular, Programa de Pós-Graduação em Ciências da Saúde, Programa de Pós-Graduação em Ciências da Reabilitação, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Verônica Coelho
- Laboratório de Imunologia, Instituto do Coração, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Laboratório de Histocompatibilidade e Imunidade Celular, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia, São Paulo, São Paulo, Brazil
| | - Andréa Rodrigues Chaves
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Rosineide Costa Simas
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Boniek Gontijo Vaz
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Simone Gonçalves Fonseca
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
- Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia, São Paulo, São Paulo, Brazil
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Bourgin M, Durand S, Kroemer G. Diagnostic, Prognostic and Mechanistic Biomarkers of COVID-19 Identified by Mass Spectrometric Metabolomics. Metabolites 2023; 13:metabo13030342. [PMID: 36984782 PMCID: PMC10056171 DOI: 10.3390/metabo13030342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/14/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
A number of studies have assessed the impact of SARS-CoV-2 infection and COVID-19 severity on the metabolome of exhaled air, saliva, plasma, and urine to identify diagnostic and prognostic biomarkers. In spite of the richness of the literature, there is no consensus about the utility of metabolomic analyses for the management of COVID-19, calling for a critical assessment of the literature. We identified mass spectrometric metabolomic studies on specimens from SARS-CoV2-infected patients and subjected them to a cross-study comparison. We compared the clinical design, technical aspects, and statistical analyses of published studies with the purpose to identify the most relevant biomarkers. Several among the metabolites that are under- or overrepresented in the plasma from patients with COVID-19 may directly contribute to excessive inflammatory reactions and deficient immune control of SARS-CoV2, hence unraveling important mechanistic connections between whole-body metabolism and the course of the disease. Altogether, it appears that mass spectrometric approaches have a high potential for biomarker discovery, especially if they are subjected to methodological standardization.
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Affiliation(s)
- Mélanie Bourgin
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75005 Paris, France
- Correspondence:
| | - Sylvère Durand
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75005 Paris, France
| | - Guido Kroemer
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75005 Paris, France
- Institut du Cancer Paris CARPEM, Department of Biology, Hôpital Européen Georges Pompidou, AP-HP, 75610 Paris, France
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da Silva Fidalgo TK, Freitas-Fernandes LB, Marques BBF, de Araújo CS, da Silva BJ, Guimarães TC, Fischer RG, Tinoco EMB, Valente AP. Salivary Metabolomic Analysis Reveals Amino Acid Metabolism Shift in SARS-CoV-2 Virus Activity and Post-Infection Condition. Metabolites 2023; 13:metabo13020263. [PMID: 36837882 PMCID: PMC9962089 DOI: 10.3390/metabo13020263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/14/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
The SARS-CoV-2 virus primarily infects salivary glands suggesting a change in the saliva metabolite profile; this shift may be used as a monitoring instrument during SARS-CoV-2 infection. The present study aims to determine the salivary metabolomic profile of patients with and post-SARS-CoV-19 infection. Patients were without (PCR-), with SARS-CoV-2 (PCR+), or post-SARS-CoV-2 infection. Unstimulated whole saliva was collected, and the 1H spectra were acquired in a 500 MHz Bruker nuclear magnetic resonance spectrometer at 25 °C. They were subjected to multivariate analysis using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), as well as univariate analysis through t-tests (SPSS 20.0, IL, USA), with a significance level of p < 0.05. A distinction was found when comparing PCR- subjects to those with SARS-CoV-2 infection. When comparing the three groups, the PLS-DA cross-validation presented satisfactory accuracy (ACC = 0.69, R2 = 0.39, Q2 = 0.08). Seventeen metabolites were found in different proportions among the groups. The results suggested the downregulation of major amino acid levels, such as alanine, glutamine, histidine, leucine, lysine, phenylalanine, and proline in the PCR+ group compared to the PCR- ones. In addition, acetate, valerate, and capronic acid were higher in PCR- patients than in PCR+. Sucrose and butyrate were higher in post-SARS-CoV-2 infection compared to PCR-. In general, a reduction in amino acids was observed in subjects with and post-SARS-CoV-2 disease. The salivary metabolomic strategy NMR-based was able to differentiate between non-infected individuals and those with acute and post-SARS-CoV-19 infection.
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Affiliation(s)
- Tatiana Kelly da Silva Fidalgo
- Department of Preventive and Community Dentistry, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
- Correspondence: (T.K.d.S.F.); (A.P.V.)
| | - Liana Bastos Freitas-Fernandes
- National Center for Nuclear Magnetic Resonance, Medical Biochemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
| | - Barbara Bruno Fagundes Marques
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Caroline Souza de Araújo
- Department of Preventive and Community Dentistry, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Bruno Jefferson da Silva
- National Center for Nuclear Magnetic Resonance, Medical Biochemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
| | - Taísa Coelho Guimarães
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Ricardo Guimarães Fischer
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Eduardo Muniz Barretto Tinoco
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Ana Paula Valente
- National Center for Nuclear Magnetic Resonance, Medical Biochemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
- Correspondence: (T.K.d.S.F.); (A.P.V.)
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Chisanga M, Williams H, Boudreau D, Pelletier JN, Trottier S, Masson JF. Label-Free SERS for Rapid Differentiation of SARS-CoV-2-Induced Serum Metabolic Profiles in Non-Hospitalized Adults. Anal Chem 2023; 95:3638-3646. [PMID: 36763490 PMCID: PMC9940618 DOI: 10.1021/acs.analchem.2c04514] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
COVID-19 represents a multi-system infectious disease with broad-spectrum manifestations, including changes in host metabolic processes connected to the disease pathogenesis. Understanding biochemical dysregulation patterns as a consequence of COVID-19 illness promises to be crucial for tracking disease course and clinical outcomes. Surface-enhanced Raman scattering (SERS) has attracted considerable interest in biomedical diagnostics for the sensitive detection of intrinsic profiles of unique fingerprints of serum biomolecules indicative of SARS-CoV-2 infection in a label-free format. Here, we applied label-free SERS and chemometrics for rapid interrogation of temporal metabolic dynamics in longitudinal sera of mildly infected non-hospitalized patients (n = 22), at 4 and 16 weeks post PCR-positive diagnosis, and compared them with negative controls (n = 8). SERS spectral markers revealed distinct metabolic profiles in patient sera that significantly deviated from the healthy metabolic state at the two sampling time intervals. Multivariate and univariate analyses of the spectral data identified abundance dynamics in amino acids, lipids, and protein vibrations as the key spectral features underlying the metabolic differences detected in convalescent samples and perhaps associated with patient recovery progression. A validation study performed using spontaneous Raman spectroscopy yielded spectral data results that corroborated SERS spectral findings and confirmed the detected disease-specific molecular phenotypes in clinical samples. Label-free SERS promises to be a valuable analytical technique for rapid screening of the metabolic phenotype induced by SARS-CoV-2 infection to allow appropriate healthcare intervention.
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Affiliation(s)
- Malama Chisanga
- Department
of Chemistry, Québec Centre for Advanced Materials (QCAM),
Regroupement Québécois sur les Matériaux de Pointe
(RQMP), and Centre Interdisciplinaire de Recherche sur le Cerveau
et l’Apprentissage (CIRCA), Université
de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada
| | - Hannah Williams
- Department
of Chemistry, Québec Centre for Advanced Materials (QCAM),
Regroupement Québécois sur les Matériaux de Pointe
(RQMP), and Centre Interdisciplinaire de Recherche sur le Cerveau
et l’Apprentissage (CIRCA), Université
de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada
| | - Denis Boudreau
- Department
of Chemistry and Centre for Optics, Photonics and Lasers (COPL), Université Laval, 1045, av. de la Médecine, Québec, Québec G1V 0A6, Canada
| | - Joelle N. Pelletier
- Department
of Chemistry, Department of Biochemistry and PROTEO, Québec
Network for Research on Protein Function, Engineering and Applications, Université de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada
| | - Sylvie Trottier
- Centre
de Recherche du Centre Hospitalier Universitaire de Québec
and Département de Microbiologie-Infectiologie et d’Immunologie, Université Laval, 2705, boulevard Laurier, Québec, Québec G1V 4G2, Canada
| | - Jean-Francois Masson
- Department
of Chemistry, Québec Centre for Advanced Materials (QCAM),
Regroupement Québécois sur les Matériaux de Pointe
(RQMP), and Centre Interdisciplinaire de Recherche sur le Cerveau
et l’Apprentissage (CIRCA), Université
de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada,. Phone: +1-514-343-7342
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34
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Bruzzone C, Conde R, Embade N, Mato JM, Millet O. Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19. Front Mol Biosci 2023; 10:1111482. [PMID: 36876049 PMCID: PMC9975567 DOI: 10.3389/fmolb.2023.1111482] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/06/2023] [Indexed: 02/17/2023] Open
Abstract
COVID-19 currently represents one of the major health challenges worldwide. Albeit its infectious character, with onset affectation mainly at the respiratory track, it is clear that the pathophysiology of COVID-19 has a systemic character, ultimately affecting many organs. This feature enables the possibility of investigating SARS-CoV-2 infection using multi-omic techniques, including metabolomic studies by chromatography coupled to mass spectrometry or by nuclear magnetic resonance (NMR) spectroscopy. Here we review the extensive literature on metabolomics in COVID-19, that unraveled many aspects of the disease including: a characteristic metabotipic signature associated to COVID-19, discrimination of patients according to severity, effect of drugs and vaccination treatments and the characterization of the natural history of the metabolic evolution associated to the disease, from the infection onset to full recovery or long-term and long sequelae of COVID.
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Affiliation(s)
- Chiara Bruzzone
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
| | - Ricardo Conde
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
| | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
| | - José M Mato
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain.,CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain.,CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
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35
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Avila-Ponce de León U, Vazquez-Jimenez A, Cervera A, Resendis-González G, Neri-Rosario D, Resendis-Antonio O. Machine Learning and COVID-19: Lessons from SARS-CoV-2. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1412:311-335. [PMID: 37378775 DOI: 10.1007/978-3-031-28012-2_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
Currently, methods in machine learning have opened a significant number of applications to construct classifiers with capacities to recognize, identify, and interpret patterns hidden in massive amounts of data. This technology has been used to solve a variety of social and health issues against coronavirus disease 2019 (COVID-19). In this chapter, we present some supervised and unsupervised machine learning techniques that have contributed in three aspects to supplying information to health authorities and diminishing the deadly effects of the current worldwide outbreak on the population. First is the identification and construction of powerful classifiers capable of predicting severe, moderate, or asymptomatic responses in COVID-19 patients starting from clinical or high-throughput technologies. Second is the identification of groups of patients with similar physiological responses to improve the triage classification and inform treatments. The final aspect is the combination of machine learning methods and schemes from systems biology to link associative studies with mechanistic frameworks. This chapter aims to discuss some practical applications in the use of machine learning techniques to handle data coming from social behavior and high-throughput technologies, associated with COVID-19 evolution.
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Affiliation(s)
- Ugo Avila-Ponce de León
- Programa de Doctorado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico
| | - Aarón Vazquez-Jimenez
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico
| | - Alejandra Cervera
- Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico
| | - Galilea Resendis-González
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico
| | - Daniel Neri-Rosario
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico
| | - Osbaldo Resendis-Antonio
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México, Mexico.
- Coordinación de la Investigación Científica - Red de Apoyo a la Investigación - Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico.
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36
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Plasma metabolomics and gene regulatory networks analysis reveal the role of nonstructural SARS-CoV-2 viral proteins in metabolic dysregulation in COVID-19 patients. Sci Rep 2022; 12:19977. [PMID: 36404352 PMCID: PMC9676188 DOI: 10.1038/s41598-022-24170-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/11/2022] [Indexed: 11/21/2022] Open
Abstract
Metabolomic analysis of blood plasma samples from COVID-19 patients is a promising approach allowing for the evaluation of disease progression. We performed the metabolomic analysis of plasma samples of 30 COVID-19 patients and the 19 controls using the high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometric detection (LC-MS/MS). In our analysis, we identified 103 metabolites enriched in KEGG metabolic pathways such as amino acid metabolism and the biosynthesis of aminoacyl-tRNAs, which differed significantly between the COVID-19 patients and the controls. Using ANDSystem software, we performed the reconstruction of gene networks describing the potential genetic regulation of metabolic pathways perturbed in COVID-19 patients by SARS-CoV-2 proteins. The nonstructural proteins of SARS-CoV-2 (orf8 and nsp5) and structural protein E were involved in the greater number of regulatory pathways. The reconstructed gene networks suggest the hypotheses on the molecular mechanisms of virus-host interactions in COVID-19 pathology and provide a basis for the further experimental and computer studies of the regulation of metabolic pathways by SARS-CoV-2 proteins. Our metabolomic analysis suggests the need for nonstructural protein-based vaccines and the control strategy to reduce the disease progression of COVID-19.
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37
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Schuller M, Oberhuber M, Prietl B, Zügner E, Prugger EM, Magnes C, Kirsch AH, Schmaldienst S, Pieber T, Brodmann M, Rosenkranz AR, Eller P, Eller K. Alterations in the Kynurenine-Tryptophan Pathway and Lipid Dysregulation Are Preserved Features of COVID-19 in Hemodialysis. Int J Mol Sci 2022; 23:ijms232214089. [PMID: 36430566 PMCID: PMC9698708 DOI: 10.3390/ijms232214089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19)-induced metabolic alterations have been proposed as a source for prognostic biomarkers and may harbor potential for therapeutic exploitation. However, the metabolic impact of COVID-19 in hemodialysis (HD), a setting of profound a priori alterations, remains unstudied. To evaluate potential COVID-19 biomarkers in end-stage kidney disease (CKD G5), we analyzed the plasma metabolites in different COVID-19 stages in patients with or without HD. We recruited 18 and 9 asymptomatic and mild, 11 and 11 moderate, 2 and 13 severely affected, and 10 and 6 uninfected HD and non-HD patients, respectively. Plasma samples were taken at the time of diagnosis and/or upon admission to the hospital and analyzed by targeted metabolomics and cytokine/chemokine profiling. Targeted metabolomics confirmed stage-dependent alterations of the metabolome in non-HD patients with COVID-19, which were less pronounced in HD patients. Elevated kynurenine levels and lipid dysregulation, shown by an increase in circulating free fatty acids and a decrease in lysophospholipids, could distinguish patients with moderate COVID-19 from non-infected individuals in both groups. Kynurenine and lipid alterations were also associated with ICAM-1 and IL-15 levels in HD and non-HD patients. Our findings support the kynurenine pathway and plasma lipids as universal biomarkers of moderate and severe COVID-19 independent of kidney function.
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Affiliation(s)
- Max Schuller
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Monika Oberhuber
- Center for Biomarker Research in Medicine, CBmed GmbH, 8010 Graz, Austria
| | - Barbara Prietl
- Center for Biomarker Research in Medicine, CBmed GmbH, 8010 Graz, Austria
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Elmar Zügner
- Institute for Biomedicine and Health Sciences (HEALTH), Joanneum Research Forschungsgesellschaft m.b.H., 8010 Graz, Austria
| | - Eva-Maria Prugger
- Institute for Biomedicine and Health Sciences (HEALTH), Joanneum Research Forschungsgesellschaft m.b.H., 8010 Graz, Austria
| | - Christoph Magnes
- Institute for Biomedicine and Health Sciences (HEALTH), Joanneum Research Forschungsgesellschaft m.b.H., 8010 Graz, Austria
| | - Alexander H. Kirsch
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | | | - Thomas Pieber
- Center for Biomarker Research in Medicine, CBmed GmbH, 8010 Graz, Austria
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Marianne Brodmann
- Division of Angiology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Alexander R. Rosenkranz
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Philipp Eller
- Intensive Care Unit, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Kathrin Eller
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
- Correspondence: ; Tel.: +43-316-385-12170
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Guntur VP, Nemkov T, de Boer E, Mohning MP, Baraghoshi D, Cendali FI, San-Millán I, Petrache I, D’Alessandro A. Signatures of Mitochondrial Dysfunction and Impaired Fatty Acid Metabolism in Plasma of Patients with Post-Acute Sequelae of COVID-19 (PASC). Metabolites 2022; 12:1026. [PMID: 36355108 PMCID: PMC9699059 DOI: 10.3390/metabo12111026] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 10/19/2022] [Accepted: 10/21/2022] [Indexed: 07/30/2023] Open
Abstract
Exercise intolerance is a major manifestation of post-acute sequelae of severe acute respiratory syndrome coronavirus infection (PASC, or "long-COVID"). Exercise intolerance in PASC is associated with higher arterial blood lactate accumulation and lower fatty acid oxidation rates during graded exercise tests to volitional exertion, suggesting altered metabolism and mitochondrial dysfunction. It remains unclear whether the profound disturbances in metabolism that have been identified in plasma from patients suffering from acute coronavirus disease 2019 (COVID-19) are also present in PASC. To bridge this gap, individuals with a history of previous acute COVID-19 infection that did not require hospitalization were enrolled at National Jewish Health (Denver, CO, USA) and were grouped into those that developed PASC (n = 29) and those that fully recovered (n = 16). Plasma samples from the two groups were analyzed via mass spectrometry-based untargeted metabolomics and compared against plasma metabolic profiles of healthy control individuals (n = 30). Observational demographic and clinical data were retrospectively abstracted from the medical record. Compared to plasma of healthy controls or individuals who recovered from COVID-19, PASC plasma exhibited significantly higher free- and carnitine-conjugated mono-, poly-, and highly unsaturated fatty acids, accompanied by markedly lower levels of mono-, di- and tricarboxylates (pyruvate, lactate, citrate, succinate, and malate), polyamines (spermine) and taurine. Plasma from individuals who fully recovered from COVID-19 exhibited an intermediary metabolic phenotype, with milder disturbances in fatty acid metabolism and higher levels of spermine and taurine. Of note, depletion of tryptophan-a hallmark of disease severity in COVID-19-is not normalized in PASC patients, despite normalization of kynurenine levels-a tryptophan metabolite that predicts mortality in hospitalized COVID-19 patients. In conclusion, PASC plasma metabolites are indicative of altered fatty acid metabolism and dysfunctional mitochondria-dependent lipid catabolism. These metabolic profiles obtained at rest are consistent with previously reported mitochondrial dysfunction during exercise, and may pave the way for therapeutic intervention focused on restoring mitochondrial fat-burning capacity.
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Affiliation(s)
- Vamsi P. Guntur
- Division of Pulmonary and Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, CO 80206, USA
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Travis Nemkov
- Department of Biochemical and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Esther de Boer
- Division of Pulmonary and Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, CO 80206, USA
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michael P. Mohning
- Division of Pulmonary and Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, CO 80206, USA
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - David Baraghoshi
- Department of Biostatistics, National Jewish Health, Denver, CO 80206, USA
| | - Francesca I. Cendali
- Department of Biochemical and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Inigo San-Millán
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Human Physiology and Nutrition, University of Colorado, Colorado Springs, CO 80918, USA
| | - Irina Petrache
- Division of Pulmonary and Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, CO 80206, USA
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Angelo D’Alessandro
- Department of Biochemical and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
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39
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Labarrere CA, Kassab GS. Glutathione deficiency in the pathogenesis of SARS-CoV-2 infection and its effects upon the host immune response in severe COVID-19 disease. Front Microbiol 2022; 13:979719. [PMID: 36274722 PMCID: PMC9582773 DOI: 10.3389/fmicb.2022.979719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/14/2022] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 19 (COVID-19) has numerous risk factors leading to severe disease with high mortality rate. Oxidative stress with excessive production of reactive oxygen species (ROS) that lower glutathione (GSH) levels seems to be a common pathway associated with the high COVID-19 mortality. GSH is a unique small but powerful molecule paramount for life. It sustains adequate redox cell signaling since a physiologic level of oxidative stress is fundamental for controlling life processes via redox signaling, but excessive oxidation causes cell and tissue damage. The water-soluble GSH tripeptide (γ-L-glutamyl-L-cysteinyl-glycine) is present in the cytoplasm of all cells. GSH is at 1–10 mM concentrations in all mammalian tissues (highest concentration in liver) as the most abundant non-protein thiol that protects against excessive oxidative stress. Oxidative stress also activates the Kelch-like ECH-associated protein 1 (Keap1)-Nuclear factor erythroid 2-related factor 2 (Nrf2)-antioxidant response element (ARE) redox regulator pathway, releasing Nrf2 to regulate the expression of genes that control antioxidant, inflammatory and immune system responses, facilitating GSH activity. GSH exists in the thiol-reduced and disulfide-oxidized (GSSG) forms. Reduced GSH is the prevailing form accounting for >98% of total GSH. The concentrations of GSH and GSSG and their molar ratio are indicators of the functionality of the cell and its alteration is related to various human pathological processes including COVID-19. Oxidative stress plays a prominent role in SARS-CoV-2 infection following recognition of the viral S-protein by angiotensin converting enzyme-2 receptor and pattern recognition receptors like toll-like receptors 2 and 4, and activation of transcription factors like nuclear factor kappa B, that subsequently activate nicotinamide adenine dinucleotide phosphate (NADPH) oxidase (NOX) expression succeeded by ROS production. GSH depletion may have a fundamental role in COVID-19 pathophysiology, host immune response and disease severity and mortality. Therapies enhancing GSH could become a cornerstone to reduce severity and fatal outcomes of COVID-19 disease and increasing GSH levels may prevent and subdue the disease. The life value of GSH makes for a paramount research field in biology and medicine and may be key against SARS-CoV-2 infection and COVID-19 disease.
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Liu M, Zhang H, Xie Z, Huang Y, Sun G, Qi D, Furey A, Randell EW, Rahman P, Zhai G. Glutathione, polyamine, and lysophosphatidylcholine synthesis pathways are associated with circulating pro-inflammatory cytokines. Metabolomics 2022; 18:76. [PMID: 36180605 DOI: 10.1007/s11306-022-01932-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 08/29/2022] [Indexed: 10/14/2022]
Abstract
INTRODUCTION Pro-inflammatory cytokines are responsible for initiating an effective defense against exogenous pathogens, and their regulation has a vital role in maintaining physiological homeostasis. The involvement of pro-inflammatory cytokines in pathological conditions have been explored in great detail, however, studies investigating metabolic pathways associated with these cytokines under normal homeostatic conditions are scarce. OBJECTIVES The aim of the current study was to identify metabolites and metabolic pathways associated with circulating pro-inflammatory cytokines under homeostatic conditions using a metabolomics approach. METHODS The study participants (n = 133) were derived from the Newfoundland Osteoarthritis Study (NFOAS) and the Complex Diseases in the Newfoundland population: Environment and Genetics (CODING) study. Plasma concentrations of cytokines including tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), interleukin-1 beta (IL-1β), and macrophage migration inhibitory factor (MIF) were assessed by enzyme-linked immunosorbent assay. Targeted metabolomic profiling on fasting plasma samples was performed using Biocrates MxP® Quant 500 kit which measures a total of 630 metabolites. Associations between natural log-transformed metabolite concentrations and metabolite sums/ratios and cytokine levels were assessed using linear regression with adjustment for age, sex, body mass index (BMI), and osteoarthritis status. RESULTS Seven metabolites and 11 metabolite sums/ratios were found to be significantly associated with TNF-α, IL-1β, and MIF (all p ≤ 5.13 × 10- 5) after controlling multiple testing with Bonferroni method, indicating the association between glutathione (GSH), polyamine, and lysophosphatidylcholine (lysoPC) synthesis pathways and these pro-inflammatory cytokines. CONCLUSION GSH, polyamine, and lysoPC synthesis pathways were positively associated with circulating TNF-α, IL-1β, and MIF levels under homeostatic conditions.
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Affiliation(s)
- Ming Liu
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Hongwei Zhang
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Zikun Xie
- Xiangya Hospital, Central South University, Changsha, China
| | - Yiheng Huang
- College of Pharmacy, University of Manitoba, Winnipeg, Canada
| | - Guang Sun
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Dake Qi
- College of Pharmacy, University of Manitoba, Winnipeg, Canada
| | - Andrew Furey
- Discipline of Surgery, Faculty of Medicine, Memorial University of Newfoundland and Office of the Premier, Government of Newfoundland and Labrador, St. John's, Canada
| | - Edward W Randell
- Discipline of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Guangju Zhai
- Division of Biomedical Sciences (Genetics), Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.
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Chen W, Yao M, Chen M, Ou Z, Yang Q, He Y, Zhang N, Deng M, Wu Y, Chen R, Tan X, Kong Z. Using an untargeted metabolomics approach to analyze serum metabolites in COVID-19 patients with nucleic acid turning negative. Front Pharmacol 2022; 13:964037. [PMID: 36091834 PMCID: PMC9449332 DOI: 10.3389/fphar.2022.964037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/02/2022] [Indexed: 11/13/2022] Open
Abstract
Background: The coronavirus disease of 2019 (COVID-19) is a severe public health issue that has infected millions of people. The effective prevention and control of COVID-19 has resulted in a considerable increase in the number of cured cases. However, little research has been done on a complete metabonomic examination of metabolic alterations in COVID-19 patients following treatment. The current project pursues rigorously to characterize the variation of serum metabolites between healthy controls and COVID-19 patients with nucleic acid turning negative via untargeted metabolomics. Methods: The metabolic difference between 20 COVID-19 patients (CT ≥ 35) and 20 healthy controls were investigated utilizing untargeted metabolomics analysis employing High-resolution UHPLC-MS/MS. COVID-19 patients’ fundamental clinical indicators, as well as health controls, were also collected. Results: Out of the 714 metabolites identified, 203 still significantly differed between COVID-19 patients and healthy controls, including multiple amino acids, fatty acids, and glycerophospholipids. The clinical indexes including monocytes, lymphocytes, albumin concentration, total bilirubin and direct bilirubin have also differed between our two groups of participators. Conclusion: Our results clearly showed that in COVID-19 patients with nucleic acid turning negative, their metabolism was still dysregulated in amino acid metabolism and lipid metabolism, which could be the mechanism of long-COVID and calls for specific post-treatment care to help COVID-19 patients recover.
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Affiliation(s)
- Wenyu Chen
- Department of Respiration, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Ming Yao
- Department of Anesthesiology and Pain Research Center, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Miaomiao Chen
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China
| | - Zhao Ou
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China
| | - Qi Yang
- Department of Respiration, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yanbin He
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China
| | - Ning Zhang
- Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Min Deng
- Department of Infection, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yuqi Wu
- Calibra Lab at DIAN Diagnostics, Hangzhou, China
| | | | - Xiaoli Tan
- Department of Respiration, Affiliated Hospital of Jiaxing University, Jiaxing, China
- *Correspondence: Xiaoli Tan, ; Ziqing Kong,
| | - Ziqing Kong
- Calibra Lab at DIAN Diagnostics, Hangzhou, China
- *Correspondence: Xiaoli Tan, ; Ziqing Kong,
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Abstract
An elevated cholesterol concentration has been suspected to increase the susceptibility for SARS-COV-2 infection. Cholesterol plays a central role in the mechanisms of the SARS-COV-2 infection. In contrast, higher HDL-cholesterol levels seem to be protective. During COVID-19 disease, LDL-cholesterol and HDL-cholesterol appear to be decreased. On the other hand, triglycerides (also in different lipoprotein fractions) were elevated. Lipoprotein(a) may increase during this disease and is most probably responsible for thromboembolic events. This lipoprotein can induce a progression of atherosclerotic lesion formation. The same is suspected for the SARS-COV-2 infection itself. COVID-19 patients are at increased risk of incident cardiovascular diseases, including cerebrovascular disorders, dysrhythmias, ischemic and non-ischemic heart disease, pericarditis, myocarditis, heart failure, and thromboembolic disorders. An ongoing lipid-lowering therapy, including lipoprotein apheresis, is recommended to be continued during the COVID-19 disease, though the impact of lipid-lowering drugs or the extracorporeal therapy on prognosis should be studied in further investigations.
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Affiliation(s)
- Ulrich Julius
- Lipidology and Center for Extracorporeal Therapy, Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Ulrike Schatz
- Lipidology and Center for Extracorporeal Therapy, Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Sergey Tselmin
- Lipidology and Center for Extracorporeal Therapy, Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Henning Morawietz
- Division of Vascular Endothelium and Microcirculation, Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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43
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Yuen TTT, Chan JFW, Yan B, Shum CCY, Liu Y, Shuai H, Hou Y, Huang X, Hu B, Chai Y, Yoon C, Zhu T, Liu H, Shi J, Zhang J, Cai JP, Zhang AJ, Zhou J, Yin F, Yuan S, Zhang BZ, Chu H. Targeting ACLY efficiently inhibits SARS-CoV-2 replication. Int J Biol Sci 2022; 18:4714-4730. [PMID: 35874959 PMCID: PMC9305265 DOI: 10.7150/ijbs.72709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/10/2022] [Indexed: 12/27/2022] Open
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the biggest public health challenge the world has witnessed in the past decades. SARS-CoV-2 undergoes constant mutations and new variants of concerns (VOCs) with altered transmissibility, virulence, and/or susceptibility to vaccines and therapeutics continue to emerge. Detailed analysis of host factors involved in virus replication may help to identify novel treatment targets. In this study, we dissected the metabolome derived from COVID-19 patients to identify key host factors that are required for efficient SARS-CoV-2 replication. Through a series of metabolomic analyses, in vitro, and in vivo investigations, we identified ATP citrate lyase (ACLY) as a novel host factor required for efficient replication of SARS-CoV-2 wild-type and variants, including Omicron. ACLY should be further explored as a novel intervention target for COVID-19.
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Affiliation(s)
- Terrence Tsz-Tai Yuen
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People's Republic of China.,Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.,Guangzhou Laboratory, Guangdong Province, China.,Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, People's Republic of China and The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Bingpeng Yan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Cynthia Cheuk-Ying Shum
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Yuanchen Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Huiping Shuai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Yuxin Hou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Xiner Huang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Bingjie Hu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Yue Chai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Chaemin Yoon
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Tianrenzheng Zhu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Huan Liu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Jialu Shi
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Jinjin Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Jian-Piao Cai
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China
| | - Anna Jinxia Zhang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People's Republic of China
| | - Jie Zhou
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People's Republic of China
| | - Feifei Yin
- Academician Workstation of Hainan Province, Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, Haikou, Hainan, People's Republic of China and The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.,Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan, China.,Department of Pathogen Biology, Hainan Medical University, Haikou, Hainan, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People's Republic of China
| | - Bao-Zhong Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen, People's Republic of China
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People's Republic of China.,Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, People's Republic of China.,Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People's Republic of China
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Buyukozkan M, Alvarez-Mulett S, Racanelli AC, Schmidt F, Batra R, Hoffman KL, Sarwath H, Engelke R, Gomez-Escobar L, Simmons W, Benedetti E, Chetnik K, Zhang G, Schenck E, Suhre K, Choi JJ, Zhao Z, Racine-Brzostek S, Yang HS, Choi ME, Choi AM, Cho SJ, Krumsiek J. Integrative metabolomic and proteomic signatures define clinical outcomes in severe COVID-19. iScience 2022; 25:104612. [PMID: 35756895 PMCID: PMC9212983 DOI: 10.1016/j.isci.2022.104612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 02/05/2022] [Accepted: 06/09/2022] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease-19 (COVID-19) pandemic has ravaged global healthcare with previously unseen levels of morbidity and mortality. In this study, we performed large-scale integrative multi-omics analyses of serum obtained from COVID-19 patients with the goal of uncovering novel pathogenic complexities of this disease and identifying molecular signatures that predict clinical outcomes. We assembled a network of protein-metabolite interactions through targeted metabolomic and proteomic profiling in 330 COVID-19 patients compared to 97 non-COVID, hospitalized controls. Our network identified distinct protein-metabolite cross talk related to immune modulation, energy and nucleotide metabolism, vascular homeostasis, and collagen catabolism. Additionally, our data linked multiple proteins and metabolites to clinical indices associated with long-term mortality and morbidity. Finally, we developed a novel composite outcome measure for COVID-19 disease severity based on metabolomics data. The model predicts severe disease with a concordance index of around 0.69, and shows high predictive power of 0.83-0.93 in two independent datasets.
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Affiliation(s)
- Mustafa Buyukozkan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sergio Alvarez-Mulett
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alexandra C. Racanelli
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Frank Schmidt
- Proteomics Core, Weill Cornell Medicine – Qatar, Doha, Qatar
| | - Richa Batra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Katherine L. Hoffman
- Department of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA
| | - Hina Sarwath
- Proteomics Core, Weill Cornell Medicine – Qatar, Doha, Qatar
| | - Rudolf Engelke
- Proteomics Core, Weill Cornell Medicine – Qatar, Doha, Qatar
| | - Luis Gomez-Escobar
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Will Simmons
- Department of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA
| | - Elisa Benedetti
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Kelsey Chetnik
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Guoan Zhang
- Proteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Edward Schenck
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine – Qatar, Education City, Doha 24144, Qatar
| | - Justin J. Choi
- Department of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Zhen Zhao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - He S. Yang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Mary E. Choi
- Division of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA
| | - Augustine M.K. Choi
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Soo Jung Cho
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jan Krumsiek
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
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Liptak P, Baranovicova E, Rosolanka R, Simekova K, Bobcakova A, Vysehradsky R, Duricek M, Dankova Z, Kapinova A, Dvorska D, Halasova E, Banovcin P. Persistence of Metabolomic Changes in Patients during Post-COVID Phase: A Prospective, Observational Study. Metabolites 2022; 12:metabo12070641. [PMID: 35888766 PMCID: PMC9321209 DOI: 10.3390/metabo12070641] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/07/2022] [Accepted: 07/10/2022] [Indexed: 02/07/2023] Open
Abstract
Several relatively recently published studies have shown changes in plasma metabolites in various viral diseases such as Zika, Dengue, RSV or SARS-CoV-1. The aim of this study was to analyze the metabolome profile of patients during acute COVID-19 approximately one month after the acute infection and to compare these results with healthy (SARS-CoV-2-negative) controls. The metabolome analysis was performed by NMR spectroscopy from the peripheral blood of patients and controls. The blood samples were collected on 3 different occasions (at admission, during hospitalization and on control visit after discharge from the hospital). When comparing sample groups (based on the date of acquisition) to controls, there is an indicative shift in metabolomics features based on the time passed after the first sample was taken towards controls. Based on the random forest algorithm, there is a strong discriminatory predictive value between controls and different sample groups (AUC equals 1 for controls versus samples taken at admission, Mathew correlation coefficient equals 1). Significant metabolomic changes persist in patients more than a month after acute SARS-CoV-2 infection. The random forest algorithm shows very strong discrimination (almost ideal) when comparing metabolite levels of patients in two various stages of disease and during the recovery period compared to SARS-CoV-2-negative controls.
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Affiliation(s)
- Peter Liptak
- Clinic of Internal Medicine-Gastroenterology, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia; (P.L.); (M.D.); (P.B.)
| | - Eva Baranovicova
- Biomedical Centre BioMed, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia; (E.B.); (Z.D.); (A.K.); (D.D.); (E.H.)
| | - Robert Rosolanka
- Clinic of Infectology and Travel Medicine, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia;
- Correspondence:
| | - Katarina Simekova
- Clinic of Infectology and Travel Medicine, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia;
| | - Anna Bobcakova
- Clinic of Pneumology and Phthisiology, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia; (A.B.); (R.V.)
| | - Robert Vysehradsky
- Clinic of Pneumology and Phthisiology, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia; (A.B.); (R.V.)
| | - Martin Duricek
- Clinic of Internal Medicine-Gastroenterology, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia; (P.L.); (M.D.); (P.B.)
| | - Zuzana Dankova
- Biomedical Centre BioMed, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia; (E.B.); (Z.D.); (A.K.); (D.D.); (E.H.)
| | - Andrea Kapinova
- Biomedical Centre BioMed, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia; (E.B.); (Z.D.); (A.K.); (D.D.); (E.H.)
| | - Dana Dvorska
- Biomedical Centre BioMed, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia; (E.B.); (Z.D.); (A.K.); (D.D.); (E.H.)
| | - Erika Halasova
- Biomedical Centre BioMed, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia; (E.B.); (Z.D.); (A.K.); (D.D.); (E.H.)
| | - Peter Banovcin
- Clinic of Internal Medicine-Gastroenterology, University Hospital in Martin, Jessenius Faculty of Medicine in Martin (JFM CU), Comenius University in Bratislava, 036 01 Martin, Slovakia; (P.L.); (M.D.); (P.B.)
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Meacci E, Pierucci F, Garcia-Gil M. Skeletal Muscle and COVID-19: The Potential Involvement of Bioactive Sphingolipids. Biomedicines 2022; 10:biomedicines10051068. [PMID: 35625805 PMCID: PMC9138286 DOI: 10.3390/biomedicines10051068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 01/08/2023] Open
Abstract
SARS-CoV-2 virus infection is the cause of the coronavirus disease 2019 (COVID-19), which is still spreading over the world. The manifestation of this disease can range from mild to severe and can be limited in time (weeks) or persist for months in about 30–50% of patients. COVID-19 is considered a multiple organ dysfunction syndrome and the musculoskeletal system manifestations are beginning to be considered of absolute importance in both COVID-19 patients and in patients recovering from the SARS-CoV-2 infection. Musculoskeletal manifestations of COVID-19 and other coronavirus infections include loss of muscle mass, muscle weakness, fatigue or myalgia, and muscle injury. The molecular mechanisms by which SARS-CoV-2 can cause damage to skeletal muscle (SkM) cells are not yet well understood. Sphingolipids (SLs) represent an important class of eukaryotic lipids with structural functions as well as bioactive molecules able to modulate crucial processes, including inflammation and viral infection. In the last two decades, several reports have highlighted the role of SLs in modulating SkM cell differentiation, regeneration, aging, response to insulin, and contraction. This review summarizes the consequences of SARS-CoV-2 infection on SkM and the potential involvement of SLs in the tissue responses to virus infection. In particular, we highlight the role of sphingosine 1-phosphate signaling in order to aid the prediction of novel targets for preventing and/or treating acute and long-term musculoskeletal manifestations of virus infection in COVID-19.
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Affiliation(s)
- Elisabetta Meacci
- Unit of Biochemical Sciences and Molecular Biology, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Viale GB Morgagni 50, 50121 Florence, Italy;
- Interuniversity Institute of Myology, University of Florence, 50121 Florence, Italy
- Correspondence: ; Tel.: +39-055-2751231
| | - Federica Pierucci
- Unit of Biochemical Sciences and Molecular Biology, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Viale GB Morgagni 50, 50121 Florence, Italy;
| | - Mercedes Garcia-Gil
- Unit of Physiology, Department of Biology, University of Pisa, Via S. Zeno 31, 56127 Pisa, Italy;
- Interdepartmental Research Center “Nutraceuticals and Food for Health”, University of Pisa, 56127 Pisa, Italy
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