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Ji X, Ji HL. Metabolic signatures of acute respiratory distress syndrome: COVID versus non-COVID. Am J Physiol Lung Cell Mol Physiol 2024; 326:L596-L603. [PMID: 38469648 DOI: 10.1152/ajplung.00266.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 03/02/2024] [Accepted: 03/05/2024] [Indexed: 03/13/2024] Open
Abstract
Acute respiratory distress syndrome (ARDS) is a fatal pulmonary disorder characterized by severe hypoxia and inflammation. ARDS is commonly triggered by systemic and pulmonary infections, with bacteria and viruses. Notable pathogens include Pseudomonas aeruginosa, Streptococcus aureus, Enterobacter species, coronaviruses, influenza viruses, and herpesviruses. COVID-19 ARDS represents the latest etiological phenotype of the disease. The pathogenesis of ARDS caused by bacteria and viruses exhibits variations in host immune responses and lung mesenchymal injury. We postulate that the systemic and pulmonary metabolomics profiles of ARDS induced by COVID-19 pathogens may exhibit distinctions compared with those induced by other infectious agents. This review aims to compare metabolic signatures in blood and lung specimens specifically within the context of ARDS. Both prevalent and phenotype-specific metabolomic signatures, including but not limited to glycolysis, ketone body production, lipid oxidation, and dysregulation of the kynurenine pathways, were thoroughly examined in this review. The distinctions in metabolic signatures between COVID-19 and non-COVID ARDS have the potential to reveal new biomarkers, elucidate pathogenic mechanisms, identify druggable targets, and facilitate differential diagnosis in the future.
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Affiliation(s)
- Xiangming Ji
- Department of Nutrition, Georgia State University, Atlanta, Georgia, United States
| | - Hong-Long Ji
- Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, Illinois, United States
- Department of Surgery, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, Illinois, United States
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Anwar MA, Keshteli AH, Yang H, Wang W, Li X, Messier HM, Cullis PR, Borchers CH, Fraser R, Wishart DS. Blood-Based Multiomics-Guided Detection of a Precancerous Pancreatic Tumor. OMICS 2024; 28:182-192. [PMID: 38634790 DOI: 10.1089/omi.2023.0278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Over a decade ago, longitudinal multiomics analysis was pioneered for early disease detection and individually tailored precision health interventions. However, high sample processing costs, expansive multiomics measurements along with complex data analysis have made this approach to precision/personalized medicine impractical. Here we describe in a case report, a more practical approach that uses fewer measurements, annual sampling, and faster decision making. We also show how this approach offers promise to detect an exceedingly rare and potentially fatal condition before it fully manifests. Specifically, we describe in the present case report how longitudinal multiomics monitoring (LMOM) helped detect a precancerous pancreatic tumor and led to a successful surgical intervention. The patient, enrolled in an annual blood-based LMOM since 2018, had dramatic changes in the June 2021 and 2022 annual metabolomics and proteomics results that prompted further clinical diagnostic testing for pancreatic cancer. Using abdominal magnetic resonance imaging, a 2.6 cm lesion in the tail of the patient's pancreas was detected. The tumor fluid from an aspiration biopsy had 10,000 times that of normal carcinoembryonic antigen levels. After the tumor was surgically resected, histopathological findings confirmed it was a precancerous pancreatic tumor. Postoperative omics testing indicated that most metabolite and protein levels returned to patient's 2018 levels. This case report illustrates the potentials of blood LMOM for precision/personalized medicine, and new ways of thinking medical innovation for a potentially life-saving early diagnosis of pancreatic cancer. Blood LMOM warrants future programmatic translational research with the goals of precision medicine, and individually tailored cancer diagnoses and treatments.
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Affiliation(s)
| | | | - Haiyan Yang
- Molecular You Corporation, Vancouver, British Columbia, Canada
| | - Windy Wang
- Molecular You Corporation, Vancouver, British Columbia, Canada
| | - Xukun Li
- Molecular You Corporation, Vancouver, British Columbia, Canada
| | - Helen M Messier
- Molecular You Corporation, Vancouver, British Columbia, Canada
- Fountain Life, Naples, Florida, USA
| | - Pieter R Cullis
- Molecular You Corporation, Vancouver, British Columbia, Canada
- Life Sciences Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christoph H Borchers
- Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
- Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
- Department of Pathology, McGill University, Montreal, Quebec, Canada
| | - Robert Fraser
- Molecular You Corporation, Vancouver, British Columbia, Canada
| | - David S Wishart
- Molecular You Corporation, Vancouver, British Columbia, Canada
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
- Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Saito S, Shahbaz S, Luo X, Osman M, Redmond D, Cohen Tervaert JW, Li L, Elahi S. Metabolomic and immune alterations in long COVID patients with chronic fatigue syndrome. Front Immunol 2024; 15:1341843. [PMID: 38304426 PMCID: PMC10830702 DOI: 10.3389/fimmu.2024.1341843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/04/2024] [Indexed: 02/03/2024] Open
Abstract
Introduction A group of SARS-CoV-2 infected individuals present lingering symptoms, defined as long COVID (LC), that may last months or years post the onset of acute disease. A portion of LC patients have symptoms similar to myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS), which results in a substantial reduction in their quality of life. A better understanding of the pathophysiology of LC, in particular, ME/CFS is urgently needed. Methods We identified and studied metabolites and soluble biomarkers in plasma from LC individuals mainly exhibiting ME/CFS compared to age-sex-matched recovered individuals (R) without LC, acute COVID-19 patients (A), and to SARS-CoV-2 unexposed healthy individuals (HC). Results Through these analyses, we identified alterations in several metabolomic pathways in LC vs other groups. Plasma metabolomics analysis showed that LC differed from the R and HC groups. Of note, the R group also exhibited a different metabolomic profile than HC. Moreover, we observed a significant elevation in the plasma pro-inflammatory biomarkers (e.g. IL-1α, IL-6, TNF-α, Flt-1, and sCD14) but the reduction in ATP in LC patients. Our results demonstrate that LC patients exhibit persistent metabolomic abnormalities 12 months after the acute COVID-19 disease. Of note, such metabolomic alterations can be observed in the R group 12 months after the acute disease. Hence, the metabolomic recovery period for infected individuals with SARS-CoV-2 might be long-lasting. In particular, we found a significant reduction in sarcosine and serine concentrations in LC patients, which was inversely correlated with depression, anxiety, and cognitive dysfunction scores. Conclusion Our study findings provide a comprehensive metabolomic knowledge base and other soluble biomarkers for a better understanding of the pathophysiology of LC and suggests sarcosine and serine supplementations might have potential therapeutic implications in LC patients. Finally, our study reveals that LC disproportionally affects females more than males, as evidenced by nearly 70% of our LC patients being female.
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Affiliation(s)
- Suguru Saito
- School of Dentistry, Division of Foundational Sciences, Edmonton, AB, Canada
| | - Shima Shahbaz
- School of Dentistry, Division of Foundational Sciences, Edmonton, AB, Canada
| | - Xian Luo
- The Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, Canada
| | - Mohammed Osman
- Department of Medicine, Division of Rheumatology, Edmonton, AB, Canada
| | - Desiree Redmond
- Department of Medicine, Division of Rheumatology, Edmonton, AB, Canada
| | | | - Liang Li
- The Metabolomics Innovation Centre, University of Alberta, Edmonton, AB, Canada
- Department of Chemistry, University of Alberta, Edmonton, AB, Canada
| | - Shokrollah Elahi
- School of Dentistry, Division of Foundational Sciences, Edmonton, AB, Canada
- Li Ka Shing Institute of Virology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Dean DA, Roach J, Ulrich vonBargen R, Xiong Y, Kane SS, Klechka L, Wheeler K, Jimenez Sandoval M, Lesani M, Hossain E, Katemauswa M, Schaefer M, Harris M, Barron S, Liu Z, Pan C, McCall LI. Persistent Biofluid Small-Molecule Alterations Induced by Trypanosoma cruzi Infection Are Not Restored by Parasite Elimination. ACS Infect Dis 2023; 9:2173-2189. [PMID: 37883691 PMCID: PMC10842590 DOI: 10.1021/acsinfecdis.3c00261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Chagas disease (CD), caused by Trypanosoma cruzi (T. cruzi) protozoa, is a complicated parasitic illness with inadequate medical measures for diagnosing infection and monitoring treatment success. To address this gap, we analyzed changes in the metabolome of T. cruzi-infected mice via liquid chromatography tandem mass spectrometry of clinically accessible biofluids: saliva, urine, and plasma. Urine was the most indicative of infection status across mouse and parasite genotypes. Metabolites perturbed by infection in urine include kynurenate, acylcarnitines, and threonylcarbamoyladenosine. Based on these results, we sought to implement urine as a tool for the assessment of CD treatment success. Strikingly, it was found that mice with parasite clearance following benznidazole antiparasitic treatment had an overall urine metabolome comparable to that of mice that failed to clear parasites. These results provide a complementary hypothesis to explain clinical trial data in which benznidazole treatment did not improve patient outcomes in late-stage disease, even in patients with successful parasite clearance. Overall, this study provides insights into new small-molecule-based CD diagnostic methods and a new approach to assess functional responses to treatment.
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Affiliation(s)
- Danya A. Dean
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019, USA
| | - Jarrod Roach
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | | | - Yi Xiong
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Shelley S. Kane
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019, USA
| | - London Klechka
- Department of Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Kate Wheeler
- Department of Biology, University of Oklahoma, Norman, OK, 73019, USA
| | | | - Mahbobeh Lesani
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Ekram Hossain
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019, USA
| | - Mitchelle Katemauswa
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019, USA
| | - Miranda Schaefer
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Morgan Harris
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Sayre Barron
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Zongyuan Liu
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019, USA
| | - Chongle Pan
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Laura-Isobel McCall
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019, USA
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
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7
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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8
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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9
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Martin CM, Slessarev M, Campbell E, Basmaji J, Ball I, Fraser DD, Leligdowicz A, Mele T, Priestap F, Tschirhart BJ, Bentall T, Lu X, Feng Q. Annexin A5 in Patients With Severe COVID-19 Disease: A Single-Center, Randomized, Double-Blind, Placebo-Controlled Feasibility Trial. Crit Care Explor 2023; 5:e0986. [PMID: 37811130 PMCID: PMC10558223 DOI: 10.1097/cce.0000000000000986] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023] Open
Abstract
OBJECTIVES To evaluate the study design and feasibility of drug administration and safety in a randomized clinical trial of recombinant human annexin A5 (SY-005), a constitutively expressed protein with anti-inflammatory, antiapoptotic, and anticoagulant properties, in patients with severe coronavirus disease 2019 (COVID-19). DESIGN Double-blind, randomized clinical trial. SETTING Two ICUs at an academic medical center. PATIENTS/SUBJECTS Adults admitted to the ICU with a confirmed diagnosis of COVID-19 and requiring ventilatory or vasopressor support. INTERVENTIONS SY-005, a recombinant human annexin A5, at 50 or 100 µg/kg IV every 12 hours for 7 days. MEASUREMENTS AND MAIN RESULTS We enrolled 18 of the 55 eligible patients (33%) between April 21, 2021, and February 3, 2022. We administered 82% (196/238) of the anticipated doses of study medication and 86% (169/196) were given within 1 hour of the scheduled time. There were no drug-related serious adverse events. We captured 100% of the data that would be required for measuring clinical outcomes in a phase 2 or 3 trial. LIMITATIONS The small sample size was a result of decreasing admissions of patients with COVID-19, which triggered a stopping rule for the trial. CONCLUSIONS Although enrollment was low, administration of SY-005 to critically ill patients with COVID-19 every 12 hours for up to 7 days was feasible and safe. Further clinical trials of annexin A5 for the treatment of COVID-19 are warranted. Given reduction of severe COVID-19 disease, future studies should explore the safety and effectiveness of SY-005 use in non-COVID-related sepsis.
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Affiliation(s)
- Claudio M Martin
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Marat Slessarev
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Eileen Campbell
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - John Basmaji
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Ian Ball
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Douglas D Fraser
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
- Department of Pediatrics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Aleksandra Leligdowicz
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Tina Mele
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
- Department of Surgery, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Fran Priestap
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Brent J Tschirhart
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
- Department of Physiology and Pharmacology, Schulich School of Dentistry and Medicine, Western University, London, ON, Canada
| | - Tracey Bentall
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Xiangru Lu
- Department of Surgery, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Qingping Feng
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
- Department of Physiology and Pharmacology, Schulich School of Dentistry and Medicine, Western University, London, ON, Canada
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10
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Onoja A, von Gerichten J, Lewis HM, Bailey MJ, Skene DJ, Geifman N, Spick M. Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers. Int J Mol Sci 2023; 24:14371. [PMID: 37762673 PMCID: PMC10531504 DOI: 10.3390/ijms241814371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023] Open
Abstract
The global COVID-19 pandemic resulted in widespread harms but also rapid advances in vaccine development, diagnostic testing, and treatment. As the disease moves to endemic status, the need to identify characteristic biomarkers of the disease for diagnostics or therapeutics has lessened, but lessons can still be learned to inform biomarker research in dealing with future pathogens. In this work, we test five sets of research-derived biomarkers against an independent targeted and quantitative Liquid Chromatography-Mass Spectrometry metabolomics dataset to evaluate how robustly these proposed panels would distinguish between COVID-19-positive and negative patients in a hospital setting. We further evaluate a crowdsourced panel comprising the COVID-19 metabolomics biomarkers most commonly mentioned in the literature between 2020 and 2023. The best-performing panel in the independent dataset-measured by F1 score (0.76) and AUROC (0.77)-included nine biomarkers: lactic acid, glutamate, aspartate, phenylalanine, β-alanine, ornithine, arachidonic acid, choline, and hypoxanthine. Panels comprising fewer metabolites performed less well, showing weaker statistical significance in the independent cohort than originally reported in their respective discovery studies. Whilst the studies reviewed here were small and may be subject to confounders, it is desirable that biomarker panels be resilient across cohorts if they are to find use in the clinic, highlighting the importance of assessing the robustness and reproducibility of metabolomics analyses in independent populations.
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Affiliation(s)
- Anthony Onoja
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (A.O.); (N.G.)
| | - Johanna von Gerichten
- School of Chemistry and Chemical Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK; (J.v.G.); (M.J.B.)
| | - Holly-May Lewis
- School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (H.-M.L.); (D.J.S.)
| | - Melanie J. Bailey
- School of Chemistry and Chemical Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK; (J.v.G.); (M.J.B.)
| | - Debra J. Skene
- School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (H.-M.L.); (D.J.S.)
| | - Nophar Geifman
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (A.O.); (N.G.)
| | - Matt Spick
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (A.O.); (N.G.)
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11
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Soares NC, Hussein A, Muhammad JS, Semreen MH, ElGhazali G, Hamad M. Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients. PLoS One 2023; 18:e0289738. [PMID: 37561777 PMCID: PMC10414581 DOI: 10.1371/journal.pone.0289738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 07/25/2023] [Indexed: 08/12/2023] Open
Abstract
Recently, numerous studies have reported on different predictive models of disease severity in COVID-19 patients. Herein, we propose a highly predictive model of disease severity by integrating routine laboratory findings and plasma metabolites including cytosine as a potential biomarker of COVID-19 disease severity. One model was developed and internally validated on the basis of ROC-AUC values. The predictive accuracy of the model was 0.996 (95% CI: 0.989 to 1.000) with an optimal cut-off risk score of 3 from among 6 biomarkers including five lab findings (D-dimer, ferritin, neutrophil counts, Hp, and sTfR) and one metabolite (cytosine). The model is of high predictive power, needs a small number of variables that can be acquired at minimal cost and effort, and can be applied independent of non-empirical clinical data. The metabolomics profiling data and the modeling work stemming from it, as presented here, could further explain the cause of COVID-19 disease prognosis and patient management.
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Affiliation(s)
- Nelson C. Soares
- University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates
- Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates
| | - Amal Hussein
- Department of Family and Community Medicine & Behavioral Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Jibran Sualeh Muhammad
- University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates
- Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Mohammad H. Semreen
- University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates
- Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates
| | - Gehad ElGhazali
- Department of Immunology, Sheikh Khalifa Medical City- Union71- Purelab, Abu Dhabi and College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Mawieh Hamad
- University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates
- Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
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12
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Dean DA, Roach J, vonBargen RU, Xiong Y, Kane SS, Klechka L, Wheeler K, Sandoval MJ, Lesani M, Hossain E, Katemauswa M, Schaefer M, Harris M, Barron S, Liu Z, Pan C, McCall LI. Persistent biofluid small molecule alterations induced by Trypanosoma cruzi infection are not restored by antiparasitic treatment. bioRxiv 2023:2023.06.03.543565. [PMID: 37425694 PMCID: PMC10326868 DOI: 10.1101/2023.06.03.543565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Chagas Disease (CD), caused by Trypanosoma cruzi (T. cruzi) protozoa, is a complicated parasitic illness with inadequate medical measures for diagnosing infection and monitoring treatment success. To address this gap, we analyzed changes in the metabolome of T. cruzi-infected mice via liquid chromatography tandem mass spectrometry analysis of clinically-accessible biofluids: saliva, urine, and plasma. Urine was the most indicative of infection status, across mouse and parasite genotypes. Metabolites perturbed by infection in the urine include kynurenate, acylcarnitines, and threonylcarbamoyladenosine. Based on these results, we sought to implement urine as a tool for assessment of CD treatment success. Strikingly, it was found that mice with parasite clearance following benznidazole antiparasitic treatment had comparable overall urine metabolome to mice that failed to clear parasites. These results match with clinical trial data in which benznidazole treatment did not improve patient outcomes in late-stage disease. Overall, this study provides insights into new small molecule-based CD diagnostic methods and a new approach to assess functional treatment response.
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Affiliation(s)
- Danya A. Dean
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019; USA
| | - Jarrod Roach
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | | | - Yi Xiong
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Shelley S. Kane
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019; USA
| | - London Klechka
- Department of Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Kate Wheeler
- Department of Biology, University of Oklahoma, Norman, OK, 73019, USA
| | | | - Mahbobeh Lesani
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Ekram Hossain
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019; USA
| | - Mitchelle Katemauswa
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019; USA
| | - Miranda Schaefer
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Morgan Harris
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Sayre Barron
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
| | - Zongyuan Liu
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019; USA
| | - Chongle Pan
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Laura-Isobel McCall
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, 73019; USA
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
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13
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den Hartog I, Karu N, Zwep LB, Voorn GP, van de Garde EM, Hankemeier T, van Hasselt JC. Differential metabolic host response to pathogens associated with community-acquired pneumonia. Metabol Open 2023; 18:100239. [PMID: 37025095 PMCID: PMC10070890 DOI: 10.1016/j.metop.2023.100239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/20/2023] [Indexed: 03/30/2023] Open
Abstract
Background Metabolic changes induced by the host immune response to pathogens found in patients with community-acquired pneumonia (CAP) may provide insight into its pathogenesis. In this study, we characterized differences in the host metabolic response to common CAP-associated pathogens. Method Targeted metabolomic profiling was performed on serum samples obtained from hospitalized CAP patients (n = 119) at admission. We quantified 347 unique metabolites across multiple biochemical classes, including amines, acylcarnitines, and signaling lipids. We evaluated if unique associations between metabolite levels and specific CAP-associated pathogens could be identified. Results Several acylcarnitines were found to be elevated in C. burnetii and herpes simplex virus and lowered in M. pneumoniae as compared to other pathogens. Phenylalanine and kynurenine were found elevated in L. pneumophila as compared to other pathogens. S-methylcysteine was elevated in patients with M. pneumoniae, and these patients also showed lowered cortisol levels in comparison to almost all other pathogens. For the herpes simplex virus, we observed a unique elevation of eicosanoids and several amines. Many lysophosphatidylcholines showed an altered profile in C. burnetii versus S. pneumoniae, L. pneumophila, and respiratory syncytial virus. Finally, phosphatidylcholines were negatively affected by the influenza virus in comparison to S. pneumoniae. Conclusions In this exploratory analysis, metabolites from different biochemical classes were found to be altered in serum samples from patients with different CAP-associated pathogens, which may be used for hypothesis generation in studies on differences in pathogen host response and pathogenesis of CAP.
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Affiliation(s)
- Ilona den Hartog
- Division of Systems Pharmacology & Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Naama Karu
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Laura B. Zwep
- Division of Systems Pharmacology & Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - G. Paul Voorn
- Department of Medical Microbiology and Immunology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Ewoudt M.W. van de Garde
- Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
- Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - J.G. Coen van Hasselt
- Division of Systems Pharmacology & Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
- Corresponding author.
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14
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Le AT, Wu M, Khan A, Phillips N, Rajpurkar P, Garland M, Magid K, Sibai M, Huang C, Sahoo MK, Bowen R, Cowan TM, Pinsky BA, Hogan CA. Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2. Front Microbiol 2023; 13:1059289. [PMID: 37063449 PMCID: PMC10092816 DOI: 10.3389/fmicb.2022.1059289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 12/07/2022] [Indexed: 03/31/2023] Open
Abstract
IntroductionThe routine clinical diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is largely restricted to real-time reverse transcription quantitative PCR (RT-qPCR), and tests that detect SARS-CoV-2 nucleocapsid antigen. Given the diagnostic delay and suboptimal sensitivity associated with these respective methods, alternative diagnostic strategies are needed for acute infection.MethodsWe studied the use of a clinically validated liquid chromatography triple quadrupole method (LC/MS–MS) for detection of amino acids from plasma specimens. We applied machine learning models to distinguish between SARS-CoV-2-positive and negative samples and analyzed amino acid feature importance.ResultsA total of 200 samples were tested, including 70 from individuals with COVID-19, and 130 from negative controls. The top performing model overall allowed discrimination between SARS-CoV-2-positive and negative control samples with an area under the receiver operating characteristic curve (AUC) of 0.96 (95%CI 0.91, 1.00), overall sensitivity of 0.99 (95%CI 0.92, 1.00), and specificity of 0.92 (95%CI 0.85, 0.95).DiscussionThis approach holds potential as an alternative to existing methods for the rapid and accurate diagnosis of acute SARS-CoV-2 infection.
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Affiliation(s)
- Anthony T. Le
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Manhong Wu
- Department of Anesthesiology, Stanford University School of Medicine, Stanford, CA, United States
| | - Afraz Khan
- British Columbia Center for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| | - Nicholas Phillips
- Stanford Computer Science Department, Stanford University, Stanford, CA, United States
| | - Pranav Rajpurkar
- Stanford Computer Science Department, Stanford University, Stanford, CA, United States
| | - Megan Garland
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Kayla Magid
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Mamdouh Sibai
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - ChunHong Huang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Malaya K. Sahoo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Raffick Bowen
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Stanford Biochemical Genetics Laboratory, Stanford Health Care, Palo Alto, CA, United States
| | - Tina M. Cowan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Clinical Chemistry and Immunology Laboratory, Stanford Health Care, Palo Alto, CA, United States
| | - Benjamin A. Pinsky
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Stanford Clinical Virology Laboratory, Stanford Health Care, Palo Alto, CA, United States
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Catherine A. Hogan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- British Columbia Center for Disease Control Public Health Laboratory, Vancouver, BC, Canada
- Stanford Clinical Virology Laboratory, Stanford Health Care, Palo Alto, CA, United States
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- *Correspondence: Catherine A. Hogan,
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Costantini S, Madonna G, Di Gennaro E, Capone F, Bagnara P, Capone M, Sale S, Nicastro C, Atripaldi L, Fiorentino G, Parrella R, Montesarchio V, Atripaldi L, Ascierto PA, Budillon A. New Insights into the Identification of Metabolites and Cytokines Predictive of Outcome for Patients with Severe SARS-CoV-2 Infection Showed Similarity with Cancer. Int J Mol Sci 2023; 24. [PMID: 36902351 DOI: 10.3390/ijms24054922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/08/2023] Open
Abstract
SARS-CoV-2 infection is characterized by several clinical manifestations, ranging from the absence of symptoms to severe forms that necessitate intensive care treatment. It is known that the patients with the highest rate of mortality develop increased levels of proinflammatory cytokines, called the "cytokine storm", which is similar to inflammatory processes that occur in cancer. Additionally, SARS-CoV-2 infection induces modifications in host metabolism leading to metabolic reprogramming, which is closely linked to metabolic changes in cancer. A better understanding of the correlation between perturbed metabolism and inflammatory responses is necessary. We evaluated untargeted plasma metabolomics and cytokine profiling via 1H-NMR (proton nuclear magnetic resonance) and multiplex Luminex assay, respectively, in a training set of a limited number of patients with severe SARS-CoV-2 infection classified on the basis of their outcome. Univariate analysis and Kaplan-Meier curves related to hospitalization time showed that lower levels of several metabolites and cytokines/growth factors, correlated with a good outcome in these patients and these data were confirmed in a validation set of patients with similar characteristics. However, after the multivariate analysis, only the growth factor HGF, lactate and phenylalanine retained a significant prediction of survival. Finally, the combined analysis of lactate and phenylalanine levels correctly predicted the outcome of 83.3% of patients in both the training and the validation set. We highlighted that the cytokines and metabolites involved in COVID-19 patients' poor outcomes are similar to those responsible for cancer development and progression, suggesting the possibility of targeting them by repurposing anticancer drugs as a therapeutic strategy against severe SARS-CoV-2 infection.
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16
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Patel MA, Knauer MJ, Nicholson M, Daley M, Van Nynatten LR, Cepinskas G, Fraser DD. Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning. Mol Med 2023; 29:26. [PMID: 36809921 PMCID: PMC9942653 DOI: 10.1186/s10020-023-00610-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/13/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post-infection, referred to as "Long-COVID". A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID. METHODS A case-control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natural Language Processing (NLP) of the UniProt Knowledgebase. RESULTS Machine learning analysis identified 119 relevant proteins for differentiating Long-COVID outpatients (Bonferonni corrected P < 0.01). Protein combinations were narrowed down to two optimal models, with nine and five proteins each, and with both having excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, F1 = 1.00). NLP expression analysis highlighted the diffuse organ system involvement in Long-COVID, as well as the involved cell types, including leukocytes and platelets, as key components associated with Long-COVID. CONCLUSIONS Proteomic analysis of plasma from Long-COVID patients identified 119 highly relevant proteins and two optimal models with nine and five proteins, respectively. The identified proteins reflected widespread organ and cell type expression. Optimal protein models, as well as individual proteins, hold the potential for accurate diagnosis of Long-COVID and targeted therapeutics.
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Affiliation(s)
- Maitray A Patel
- Epidemiology and Biostatistics, Western University, London, ON, N6A 3K7, Canada
| | - Michael J Knauer
- Pathology and Laboratory Medicine, Western University, London, ON, N6A 3K7, Canada
| | | | - Mark Daley
- Epidemiology and Biostatistics, Western University, London, ON, N6A 3K7, Canada.,Computer Science, Western University, London, ON, N6A 3K7, Canada
| | | | - Gediminas Cepinskas
- Lawson Health Research Institute, London, ON, N6C 2R5, Canada.,Medical Biophysics, Western University, London, ON, N6A 3K7, Canada
| | - Douglas D Fraser
- Lawson Health Research Institute, London, ON, N6C 2R5, Canada. .,Children's Health Research Institute, London, ON, N6C 4V3, Canada. .,Pediatrics, Western University, London, ON, N6A 3K7, Canada. .,Clinical Neurological Sciences, Western University, London, ON, N6A 3K7, Canada. .,Physiology and Pharmacology, Western University, London, ON, N6A 3K7, Canada. .,Room C2-C82, London Health Sciences Centre, 800 Commissioners Road East, London, ON, N6A 5W9, Canada.
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17
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Ovcharenko E, Kutikhin A, Gruzdeva O, Kuzmina A, Slesareva T, Brusina E, Kudasheva S, Bondarenko T, Kuzmenko S, Osyaev N, Ivannikova N, Vavin G, Moses V, Danilov V, Komossky E, Klyshnikov K. Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study. J Cardiovasc Dev Dis 2023; 10. [PMID: 36826535 DOI: 10.3390/jcdd10020039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/16/2023] [Accepted: 01/19/2023] [Indexed: 01/25/2023] Open
Abstract
Here, we performed a multicenter, age- and sex-matched study to compare the efficiency of various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to develop sensitive, specific, and robust artificial intelligence tools for the prompt triage of patients with severe COVID-19 in the intensive care unit setting. In a challenge against other established machine learning algorithms (decision trees, random forests, extra trees, neural networks, k-nearest neighbors, and gradient boosting: XGBoost, LightGBM, and CatBoost) and multivariate logistic regression as a reference, neural networks demonstrated the highest sensitivity, sufficient specificity, and excellent robustness. Further, neural networks based on coronary artery disease/chronic heart failure, stage 3-5 chronic kidney disease, blood urea nitrogen, and C-reactive protein as the predictors exceeded 90% sensitivity and 80% specificity, reaching AUROC of 0.866 at primary cross-validation and 0.849 at secondary cross-validation on virtual samples generated by the bootstrapping procedure. These results underscore the impact of cardiovascular and renal comorbidities in the context of thrombotic complications characteristic of severe COVID-19. As aforementioned predictors can be obtained from the case histories or are inexpensive to be measured at admission to the intensive care unit, we suggest this predictor composition is useful for the triage of critically ill COVID-19 patients.
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18
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Lomova N, Dolgushina N, Tokareva A, Chagovets V, Starodubtseva N, Kulikov I, Sukhikh G, Frankevich V. Past COVID-19: The Impact on IVF Outcomes Based on Follicular Fluid Lipid Profile. Int J Mol Sci 2022; 24. [PMID: 36613453 DOI: 10.3390/ijms24010010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/12/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022] Open
Abstract
Follicular fluid is an important component of follicle growth and development. Negative effects of COVID-19 on follicular function are still open. The aim of this work was to study the features of the lipid profile of follicular fluid and evaluate the results of the in vitro fertilization (IVF) program in women after COVID-19 to identify biomarkers with prognostic potential. The study involved samples of follicular fluid collected from 237 women. Changes in the lipid composition of the follicular fluid of patients who underwent COVID-19 in mild and severe forms before entering the IVF program and women who did not have COVID-19 were studied by mass spectrometry. Several lipids were identified that significantly changed their level. On the basis of these findings, models were developed for predicting the threat of miscarriage in patients who had a severe course of COVID-19 and models for predicting the success of the IVF procedure, depending on the severity of COVID-19. Of practical interest is the possibility of using the developed predictive models in working with patients who have undergone COVID-19 before entering the IVF program. The results of the study suggest that the onset of pregnancy and its outcome after severe COVID-19 may be associated with changes in lipid metabolism in the follicular fluid.
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19
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Gil-Redondo R, Conde R, Bizkarguenaga M, Bruzzone C, Laín A, González-Valle B, Iriberri M, Ramos-Acosta C, Anguita E, Arriaga Lariz JI, España Yandiola PP, Moran MÁ, Jiménez-Mercado ME, Egia-Mendikute L, Seco ML, Schäfer H, Cannet C, Spraul M, Palazón A, Embade N, Lu SC, Wist J, Nicholson JK, Mato JM, Millet O. An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study. Metabolites 2022; 12. [PMID: 36557244 DOI: 10.3390/metabo12121206] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/19/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
After SARS-CoV-2 infection, the molecular phenoreversion of the immunological response and its associated metabolic dysregulation are required for a full recovery of the patient. This process is patient-dependent due to the manifold possibilities induced by virus severity, its phylogenic evolution and the vaccination status of the population. We have here investigated the natural history of COVID-19 disease at the molecular level, characterizing the metabolic and immunological phenoreversion over time in large cohorts of hospitalized severe patients (n = 886) and non-hospitalized recovered patients that self-reported having passed the disease (n = 513). Non-hospitalized recovered patients do not show any metabolic fingerprint associated with the disease or immune alterations. Acute patients are characterized by the metabolic and lipidomic dysregulation that accompanies the exacerbated immunological response, resulting in a slow recovery time with a maximum probability of around 62 days. As a manifestation of the heterogeneity in the metabolic phenoreversion, age and severity become factors that modulate their normalization time which, in turn, correlates with changes in the atherogenesis-associated chemokine MCP-1. Our results are consistent with a model where the slow metabolic normalization in acute patients results in enhanced atherosclerotic risk, in line with the recent observation of an elevated number of cardiovascular episodes found in post-COVID-19 cohorts.
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20
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Ivanisenko VA, Gaisler EV, Basov NV, Rogachev AD, Cheresiz SV, Ivanisenko TV, Demenkov PS, Mishchenko EL, Khripko OP, Khripko YI, Voevoda SM, Karpenko TN, Velichko AJ, Voevoda MI, Kolchanov NA, Pokrovsky AG. 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 DOI: 10.1038/s41598-022-24170-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [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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21
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Saito K, Gemma A, Tatsumi K, Hattori N, Ushiki A, Tsushima K, Saito Y, Abe M, Horimasu Y, Kashiwada T, Mori K, Sato M, Nishiya T, Takamatsu K, Sun Y, Arakawa N, Izumi T, Ohno Y, Saito Y, Hanaoka M. Identification and characterization of lysophosphatidylcholine 14:0 as a biomarker for drug-induced lung disease. Sci Rep 2022; 12:19819. [PMID: 36396675 PMCID: PMC9671920 DOI: 10.1038/s41598-022-24406-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/15/2022] [Indexed: 11/18/2022] Open
Abstract
Drug-induced interstitial lung disease (DILD) occurs when drug exposure causes inflammation of the lung interstitium. DILD can be caused by different types of drugs, and some DILD patterns results in a high mortality rate; hence, DILD poses a serious problem in clinical practice as well as drug development, and strategies to diagnose and distinguish DILD from other lung diseases are necessary. We aimed to identify novel biomarkers for DILD by performing lipidomics analysis on plasma samples from patients with acute and recovery phase DILD. Having identified lysophosphatidylcholines (LPCs) as candidate biomarkers for DILD, we determined their concentrations using validated liquid chromatography/mass spectrometry biomarker assays. In addition, we evaluated the ability of LPCs to discriminate patients with acute phase DILD from those with recovery phase DILD, DILD-tolerant, or other lung diseases, and characterized their association with clinical characteristics. Lipidomics analysis revealed a clear decrease in LPC concentrations in the plasma of patients with acute phase DILD. In particular, LPC(14:0) had the highest discriminative index against recovery phase and DILD-tolerant patients. LPC(14:0) displayed no clear association with causal drugs, or subjects' backgrounds, but was associated with disease severity. Furthermore, LPC(14:0) was able to discriminate between patients with DILD and other lung diseases, including idiopathic interstitial pneumonia and lung disease associated with connective tissue disease. LPC(14:0) is a promising biomarker for DILD that could improve the diagnosis of DILD and help to differentiate DILD from other lung diseases, such as idiopathic interstitial pneumonia and connective tissue disease.
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Affiliation(s)
- Kosuke Saito
- grid.410797.c0000 0001 2227 8773Division of Medical Safety Science, National Institute of Health Sciences, Kawasaki, 210-9501 Japan
| | - Akihiko Gemma
- grid.410821.e0000 0001 2173 8328Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, 113-8603 Japan
| | - Koichiro Tatsumi
- grid.136304.30000 0004 0370 1101Department of Respirology (B2), Graduate School of Medicine, Chiba University, Chiba, 260-8677 Japan
| | - Noboru Hattori
- grid.470097.d0000 0004 0618 7953Department of Respiratory Medicine, Hiroshima University Hospital, Hiroshima, 734-8551 Japan
| | - Atsuhito Ushiki
- grid.263518.b0000 0001 1507 4692First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, 390-8621 Japan
| | - Kenji Tsushima
- grid.410797.c0000 0001 2227 8773Division of Medical Safety Science, National Institute of Health Sciences, Kawasaki, 210-9501 Japan ,grid.411731.10000 0004 0531 3030School of Medicine, International University of Health and Welfare, Narita, 286-8686 Japan
| | - Yoshinobu Saito
- grid.410821.e0000 0001 2173 8328Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, 113-8603 Japan
| | - Mitsuhiro Abe
- grid.136304.30000 0004 0370 1101Department of Respirology (B2), Graduate School of Medicine, Chiba University, Chiba, 260-8677 Japan
| | - Yasushi Horimasu
- grid.470097.d0000 0004 0618 7953Department of Respiratory Medicine, Hiroshima University Hospital, Hiroshima, 734-8551 Japan
| | - Takeru Kashiwada
- grid.410821.e0000 0001 2173 8328Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, 113-8603 Japan
| | - Kazuhiko Mori
- grid.410844.d0000 0004 4911 4738Daiichi Sankyo RD Novare Co., Ltd., Tokyo, 134-8630 Japan
| | - Motonobu Sato
- grid.418042.b0000 0004 1758 8699Astellas Pharma Inc., Tsukuba, 305-8585 Japan
| | - Takayoshi Nishiya
- grid.410844.d0000 0004 4911 4738Daiichi Sankyo RD Novare Co., Ltd., Tokyo, 134-8630 Japan
| | - Kazuhiko Takamatsu
- grid.418042.b0000 0004 1758 8699Astellas Pharma Inc., Tsukuba, 305-8585 Japan
| | - Yuchen Sun
- grid.410797.c0000 0001 2227 8773Division of Medical Safety Science, National Institute of Health Sciences, Kawasaki, 210-9501 Japan
| | - Noriaki Arakawa
- grid.410797.c0000 0001 2227 8773Division of Medical Safety Science, National Institute of Health Sciences, Kawasaki, 210-9501 Japan
| | - Takashi Izumi
- Kihara Memorial Foundation, Yokohama, 230-0045 Japan
| | - Yasuo Ohno
- Kihara Memorial Foundation, Yokohama, 230-0045 Japan
| | - Yoshiro Saito
- grid.410797.c0000 0001 2227 8773Division of Medical Safety Science, National Institute of Health Sciences, Kawasaki, 210-9501 Japan
| | - Masayuki Hanaoka
- grid.263518.b0000 0001 1507 4692First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, 390-8621 Japan
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22
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Guaraldi G, Milic J, Cesari M, Leibovici L, Mandreoli F, Missier P, Rozzini R, Cattelan AM, Motta F, Mussini C, Cossarizza A. The interplay of post-acute COVID-19 syndrome and aging: a biological, clinical and public health approach. Ageing Res Rev 2022; 81:101686. [PMID: 35820609 PMCID: PMC9270773 DOI: 10.1016/j.arr.2022.101686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/07/2022] [Indexed: 01/31/2023]
Abstract
The post-acute COVID-19 syndrome (PACS) is characterized by the persistence of fluctuating symptoms over three months from the onset of the possible or confirmed COVID-19 acute phase. Current data suggests that at least 10% of people with previously documented infection may develop PACS, and up to 50-80% of prevalence is reported among survivors after hospital discharge. This viewpoint will discuss various aspects of PACS, particularly in older adults, with a specific hypothesis to describe PACS as the expression of a modified aging trajectory induced by SARS CoV-2. This hypothesis will be argued from biological, clinical and public health view, addressing three main questions: (i) does SARS-CoV-2-induced alterations in aging trajectories play a role in PACS?; (ii) do people with PACS face immuno-metabolic derangements that lead to increased susceptibility to age-related diseases?; (iii) is it possible to restore the healthy aging trajectory followed by the individual before pre-COVID?. A particular focus will be given to the well-being of people with PACS that could be assessed by the intrinsic capacity model and support the definition of the healthy aging trajectory.
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Affiliation(s)
- Giovanni Guaraldi
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Modena, Italy,Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, Modena, Italy,Correspondence to: Department of Surgical, Medical, Dental and Morphological Sciences University of Modena and Reggio Emilia, Largo del Pozzo, 71, 41124 Modena, Italy
| | - Jovana Milic
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Matteo Cesari
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | | | - Federica Mandreoli
- Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Paolo Missier
- School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Renzo Rozzini
- Geriatric Department, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | | | - Federico Motta
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Cristina Mussini
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Modena, Italy,Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, Modena, Italy
| | - Andrea Cossarizza
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
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23
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Huang K, Thomas N, Gooley PR, Armstrong CW. Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
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24
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Patel MA, Knauer MJ, Nicholson M, Daley M, Van Nynatten LR, Martin C, Patterson EK, Cepinskas G, Seney SL, Dobretzberger V, Miholits M, Webb B, Fraser DD. Elevated vascular transformation blood biomarkers in Long-COVID indicate angiogenesis as a key pathophysiological mechanism. Mol Med 2022; 28:122. [PMID: 36217108 PMCID: PMC9549814 DOI: 10.1186/s10020-022-00548-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/17/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Long-COVID is characterized by prolonged, diffuse symptoms months after acute COVID-19. Accurate diagnosis and targeted therapies for Long-COVID are lacking. We investigated vascular transformation biomarkers in Long-COVID patients. METHODS A case-control study utilizing Long-COVID patients, one to six months (median 98.5 days) post-infection, with multiplex immunoassay measurement of sixteen blood biomarkers of vascular transformation, including ANG-1, P-SEL, MMP-1, VE-Cad, Syn-1, Endoglin, PECAM-1, VEGF-A, ICAM-1, VLA-4, E-SEL, thrombomodulin, VEGF-R2, VEGF-R3, VCAM-1 and VEGF-D. RESULTS Fourteen vasculature transformation blood biomarkers were significantly elevated in Long-COVID outpatients, versus acutely ill COVID-19 inpatients and healthy controls subjects (P < 0.05). A unique two biomarker profile consisting of ANG-1/P-SEL was developed with machine learning, providing a classification accuracy for Long-COVID status of 96%. Individually, ANG-1 and P-SEL had excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, P < 0.0001; validated in a secondary cohort). Specific to Long-COVID, ANG-1 levels were associated with female sex and a lack of disease interventions at follow-up (P < 0.05). CONCLUSIONS Long-COVID patients suffer prolonged, diffuse symptoms and poorer health. Vascular transformation blood biomarkers were significantly elevated in Long-COVID, with angiogenesis markers (ANG-1/P-SEL) providing classification accuracy of 96%. Vascular transformation blood biomarkers hold potential for diagnostics, and modulators of angiogenesis may have therapeutic efficacy.
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Affiliation(s)
- Maitray A Patel
- Epidemiology and Biostatistics, Western University, London, ON, N6A 3K7, Canada
| | - Michael J Knauer
- Pathology and Laboratory Medicine, Western University, London, ON, N6A 3K7, Canada
| | | | - Mark Daley
- Epidemiology and Biostatistics, Western University, London, ON, N6A 3K7, Canada.,Computer Science, Western University, London, ON, N6A 3K7, Canada
| | | | - Claudio Martin
- Medicine, Western University, London, ON, N6A 3K7, Canada.,Lawson Health Research Institute, London, ON, N6C 2R5, Canada
| | | | - Gediminas Cepinskas
- Lawson Health Research Institute, London, ON, N6C 2R5, Canada.,Medical Biophysics, Western University, London, ON, N6A 3K7, Canada
| | - Shannon L Seney
- Lawson Health Research Institute, London, ON, N6C 2R5, Canada
| | | | | | - Brian Webb
- Thermo Fisher Scientific, Rockford, IL, USA
| | - Douglas D Fraser
- Lawson Health Research Institute, London, ON, N6C 2R5, Canada. .,Pediatrics, Western University, London, ON, N6A 3K7, Canada. .,Clinical Neurological Sciences, Western University, London, ON, N6A 3K7, Canada. .,Physiology and Pharmacology, Western University, London, ON, N6A 3K7, Canada. .,London Health Sciences Centre, Room C2-C82, 800 Commissioners Road East, London, ON, N6A 5W9, Canada.
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25
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Occelli C, Guigonis JM, Lindenthal S, Cagnard A, Graslin F, Brglez V, Seitz-Polski B, Dellamonica J, Levraut J, Pourcher T. Untargeted plasma metabolomic fingerprinting highlights several biomarkers for the diagnosis and prognosis of coronavirus disease 19. Front Med (Lausanne) 2022; 9:995069. [PMID: 36250098 PMCID: PMC9556858 DOI: 10.3389/fmed.2022.995069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesThe COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is still challenging healthcare systems. New tools for the prognosis and diagnosis of COVID-19 patients remain important issues.DesignHere, we studied the metabolome of plasma samples of COVID-19 patients for the identification of prognosis biomarkers.PatientsPlasma samples of eighty-six SARS-CoV-2-infected subjects and 24 healthy controls were collected during the first peak of the COVID-19 pandemic in France in 2020.Main resultsPlasma metabolome fingerprinting allowed the successful discrimination of healthy controls, mild SARS-CoV-2 subjects, and moderate and severe COVID-19 patients at hospital admission. We found a strong effect of SARS-CoV-2 infection on the plasma metabolome in mild cases. Our results revealed that plasma lipids and alterations in their saturation level are important biomarkers for the detection of the infection. We also identified deoxy-fructosyl-amino acids as new putative plasma biomarkers for SARS-CoV-2 infection and COVID-19 severity. Finally, our results highlight a key role for plasma levels of tryptophan and kynurenine in the symptoms of COVID-19 patients.ConclusionOur results showed that plasma metabolome profiling is an efficient tool for the diagnosis and prognosis of SARS-CoV-2 infection.
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Affiliation(s)
- Céline Occelli
- Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, France
- Department of Emergency, University Hospital, Nice, France
- School of Medicine, Université Côte d’Azur, Nice, France
| | - Jean-Marie Guigonis
- Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, France
| | - Sabine Lindenthal
- Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, France
| | - Alexandre Cagnard
- Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, France
| | - Fanny Graslin
- Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, France
| | - Vesna Brglez
- Unité de Recherche Clinique Côte d’Azur (UR2CA), Université Côte d’Azur, Nice, France
- Department of Immunology, University Hospital, Nice, France
| | - Barbara Seitz-Polski
- School of Medicine, Université Côte d’Azur, Nice, France
- Unité de Recherche Clinique Côte d’Azur (UR2CA), Université Côte d’Azur, Nice, France
- Department of Immunology, University Hospital, Nice, France
| | - Jean Dellamonica
- School of Medicine, Université Côte d’Azur, Nice, France
- Unité de Recherche Clinique Côte d’Azur (UR2CA), Université Côte d’Azur, Nice, France
- Medical Intensive Care Unit, University Hospital, Nice, France
| | - Jacques Levraut
- Department of Emergency, University Hospital, Nice, France
- School of Medicine, Université Côte d’Azur, Nice, France
| | - Thierry Pourcher
- Transporter in Imaging and Radiotherapy in Oncology Laboratory (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Frederic Joliot, Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA), Université Côte d’Azur, School of Medicine, Nice, France
- *Correspondence: Thierry Pourcher,
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Almulla AF, Supasitthumrong T, Tunvirachaisakul C, Algon AAA, Al-Hakeim HK, Maes M. The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis. BMC Infect Dis 2022; 22:615. [PMID: 35840908 PMCID: PMC9284970 DOI: 10.1186/s12879-022-07582-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/30/2022] [Indexed: 12/15/2022] Open
Abstract
Background Coronavirus disease 2019 (COVID-19) is accompanied by activated immune-inflammatory pathways and oxidative stress, which both induce indoleamine-2,3-dioxygenase (IDO), a key enzyme of the tryptophan (TRP) catabolite (TRYCAT) pathway. The aim of this study was to systematically review and meta-analyze the status of the TRYCAT pathway, including the levels of TRP and kynurenine (KYN) and the activity of IDO, as measured by the ratio of KYN/TRP. Methods This systematic review searched PubMed, Google Scholar, and Web of Sciences and included 14 articles that compared TRP and tryptophan catabolites (TRYCATs) in COVID-19 patients versus non-COVID-19 controls, as well as severe/critical versus mild/moderate COVID-19. The analysis was done on a total of 1269 people, including 794 COVID-19 patients and 475 controls. Results The results show a significant (p < 0.0001) increase in the KYN/TRP ratio (standardized mean difference, SMD = 1.099, 95% confidence interval, CI: 0.714; 1.484) and KYN (SMD = 1.123, 95% CI: 0.730; 1.516) and significantly lower TRP (SMD = − 1.002, 95%CI: − 1.738; − 0.266) in COVID-19 versus controls. The KYN/TRP ratio (SMD = 0.945, 95%CI: 0.629; 1.262) and KYN (SMD = 0.806, 95%CI: 0.462; 1.149) were also significantly (p < 0.0001) higher and TRP lower (SMD = − 0.909, 95% CI: − 1.569; − 0.249) in severe/critical versus mild/moderate COVID-19. No significant difference was detected in kynurenic acid (KA) and the KA/KYN ratio between COVID-19 patients and controls. Conclusions Our results indicate increased activity of the IDO enzyme in COVID-19 and severe/critical patients. The TRYCAT pathway is implicated in the pathophysiology and progression of COVID-19 and may signal a worsening outcome of the disease. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07582-1.
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Affiliation(s)
- Abbas F Almulla
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. .,Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, 31001, Iraq.
| | | | | | | | | | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.,Department of Psychiatry, IMPACT Strategic Research Centre, Deakin University, Geelong, VIC, Australia
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27
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Solianik R, Schwieler L, Trepci A, Erhardt S, Brazaitis M. Two-day fasting affects kynurenine pathway with additional modulation of short-term whole-body cooling: a quasi-randomised crossover trial. Br J Nutr 2022; 129:1-8. [PMID: 35791050 DOI: 10.1017/s0007114522002069] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Metabolites of the kynurenine (KYN) pathway of tryptophan (TRP) degradation have attracted interest as potential pathophysiological mediators and future diagnostic biomarkers. A greater knowledge of the pathological implications of the metabolites is associated with a need for a better understanding of how the normal behaviour and physiological activities impact their concentrations. This study aimed to investigate whether fasting (FAST) and whole-body cold-water immersion (CWI) affect KYN pathway metabolites. Thirteen young women were randomly assigned to receive the 2-d FAST with two 10-min CWI on separate days (FAST-CWI), 2-d FAST without CWI (FAST-CON), 2-d two CWI on separate days without FAST (CON-CWI) or the 2-d usual diet without CWI (CON-CON) in a randomised crossover fashion. Changes in plasma concentrations of TRP, kynurenic acid (KYNA), 3-hydroxy-kynurenine (3-HK), picolinic acid (PIC), quinolinic acid (QUIN) and nicotinamide (NAA) were determined with ultra-performance liquid chromatography-tandem mass spectrometer. FAST-CWI and FAST-CON lowered TRP concentration (P < 0·05, ηp2 = 0·24), and increased concentrations of KYNA, 3-HK and PIC (P < 0·05, ηp2 = 0·21-0·71) with no additional effects of CWI. The ratio of PIC/QUIN increased after FAST-CWI and FAST-CON trials (P < 0·05) but with a blunted effect in the FAST-CWI trial (P < 0·05) compared with the FAST-CON trials (ηp2 = 0·67). Concentrations of QUIN and NAA were unaltered. This study demonstrated that fasting for 2 d considerably impacts the concentration of several metabolites in the KYN pathway. This should be considered when discussing the potential of KYN pathway metabolites as biomarkers.
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Affiliation(s)
- Rima Solianik
- Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
| | - Lilly Schwieler
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Ada Trepci
- Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Sophie Erhardt
- Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Marius Brazaitis
- Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
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Karu N, Kindt A, van Gammeren AJ, Ermens AAM, Harms AC, Portengen L, Vermeulen RCH, Dik WA, Langerak AW, van der Velden VHJ, Hankemeier T. Severe COVID-19 Is Characterised by Perturbations in Plasma Amines Correlated with Immune Response Markers, and Linked to Inflammation and Oxidative Stress. Metabolites 2022; 12. [PMID: 35888742 DOI: 10.3390/metabo12070618] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/25/2022] [Accepted: 06/26/2022] [Indexed: 02/01/2023] Open
Abstract
The COVID-19 pandemic raised a need to characterise the biochemical response to SARS-CoV-2 infection and find biological markers to identify therapeutic targets. In support of these aims, we applied a range of LC-MS platforms to analyse over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). The first publication in a series reports the results of quantitative LC-MS/MS profiling of 56 amino acids and derivatives. A comparison between samples taken from ICU and ward patients revealed a notable increase in ten post-translationally modified amino acids that correlated with markers indicative of an excessive immune response: TNF-alpha, neutrophils, markers for macrophage, and leukocyte activation. Severe patients also had increased kynurenine, positively correlated with CRP and cytokines that induce its production. ICU and ward patients with high IL-6 showed decreased levels of 22 immune-supporting and anti-oxidative amino acids and derivatives (e.g., glutathione, GABA). These negatively correlated with CRP and IL-6 and positively correlated with markers indicative of adaptive immune activation. Including corresponding alterations in convalescing ward patients, the overall metabolic picture of severe COVID-19 reflected enhanced metabolic demands to maintain cell proliferation and redox balance, alongside increased inflammation and oxidative stress.
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Saito K, Ishikawa R, Kitamura I, Ogawa K, Arakawa N, Sun Y, Imai K, Takuya M, Saito Y, Hasegawa C. Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis. J Pharmacol Sci 2022; 150:49-55. [PMID: 36055751 PMCID: PMC9339153 DOI: 10.1016/j.jphs.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/21/2022] [Accepted: 06/29/2022] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been associated with high mortality worldwide. Owing to its complicated pathophysiology, diagnostic and prognostic biomarkers for effective patient management remain scarce. We analyzed kynurenine, tryptophan, and serotonin levels in the serum of patients with COVID-19 via liquid chromatography/mass spectrometry analysis. Serum serotonin levels were decreased in patients with more severe COVID-19, along with increased kynurenine and decreased tryptophan concentrations. Patients with moderate disease who subsequently worsened showed significantly lower serotonin concentrations compared with those who did not experience severe disease. Serum serotonin levels may represent a valuable biomarker for COVID-19 severity and prognosis.
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Fanelli G, Gevi F, Zarletti G, Tiberi M, De Molfetta V, Scapigliati G, Timperio AM. An Altered Metabolism in Leukocytes Showing in vitro igG Memory From SARS-CoV-2-Infected Patients. Front Mol Biosci 2022; 9:894207. [PMID: 35847976 PMCID: PMC9280710 DOI: 10.3389/fmolb.2022.894207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Abstract
Coronavirus disease 2019 (COVID 19) is a systemic infection that exerts a significant impact on cell metabolism. In this study we performed metabolomic profiling of 41 in vitro cultures of peripheral blood mononuclear cells (PBMC), 17 of which displayed IgG memory for spike-S1 antigen 60–90 days after infection. By using mass spectrometry analysis, a significant up-regulation of S-adenosyl-Homocysteine, Sarcosine and Arginine was found in leukocytes showing IgG memory. These metabolites are known to be involved in physiological recovery from viral infections and immune activities, and our findings might represent a novel and easy measure that could be of help in understanding SARS-Cov-2 effects on leukocytes.
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Affiliation(s)
- G. Fanelli
- Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
| | - F. Gevi
- Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
| | - G. Zarletti
- Department of Innovativative Biology, Agro-food, and Forestry, University of Tuscia, Viterbo, Italy
| | - M. Tiberi
- Department of Innovativative Biology, Agro-food, and Forestry, University of Tuscia, Viterbo, Italy
| | - V. De Molfetta
- Department of Innovativative Biology, Agro-food, and Forestry, University of Tuscia, Viterbo, Italy
| | - G. Scapigliati
- Department of Innovativative Biology, Agro-food, and Forestry, University of Tuscia, Viterbo, Italy
- *Correspondence: G. Scapigliati, ; A. M. Timperio,
| | - A. M. Timperio
- Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
- *Correspondence: G. Scapigliati, ; A. M. Timperio,
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Gu M, Pan H, Yuan Y, Zhou X, Chen L, Wang X, Fang F, Hu L, Xie Y, Shen C. Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19. Front Cell Infect Microbiol 2022; 12:882661. [PMID: 35586248 PMCID: PMC9108257 DOI: 10.3389/fcimb.2022.882661] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 03/28/2022] [Indexed: 12/15/2022] Open
Abstract
We have witnessed the 2-year-long global rampage of COVID-19 caused by the wide spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, knowledge about biomarkers of the entire COVID-19 process is limited. Identification of the systemic features of COVID-19 will lead to critical biomarkers and therapeutic targets for early intervention and clinical disease course prediction. Here, we performed a comprehensive analysis of clinical measurements and serum metabolomics in 199 patients with different stages of COVID-19. In particular, our study is the first serum metabolomic analysis of critical rehabilitation patients and critical death patients. We found many differential metabolites in the comparison of metabolomic results between ordinary, severe, and critical patients and uninfected patients. Through the metabolomic results of COVID-19 patients in various stages, and critical rehabilitation patients and critical death patients, we identified a series of differential metabolites as biomarkers, a separate queue and precise distinction, and predicted COVID-19 verification. These differentially expressed metabolites, included 1,2-di-(9Z,12Z-octadecadienoyl)-sn-glycero-3-phosphate, propylparaben, 20-hydroxyeicosatetraenoic acid, triethanolamine, chavicol, disialosyl galactosyl globoside, 1-arachidonoylglycerophosphoinositol, and alpha-methylstyrene, all of which have been identified for the first time as biomarkers in COVID-19 progression. These biomarkers are involved in many pathological and physiological pathways of COVID-19, for example, immune responses, platelet degranulation, and metabolism which might result in pathogenesis. Our results showed valuable information about metabolites obviously altered in COVID-19 patients with different stages, which could shed light on the pathogenesis as well as serve as potential therapeutic agents of COVID-19.
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Affiliation(s)
- Meijia Gu
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Huaqin Pan
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University; Clinical Research Center of Hubei Critical Care Medicine, Wuhan, China
| | - Yuncong Yuan
- College of Life Sciences, Wuhan University, Wuhan, China
- China Center for Type Culture Collection, Wuhan University, Wuhan, China
| | - Xuemin Zhou
- Shanghai BIOTREE Biological Technology Co., Ltd, Shanghai, China
| | - Luojia Chen
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Xingran Wang
- College of Life Sciences, Wuhan University, Wuhan, China
| | - Fang Fang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Liu Hu
- College of Life Sciences, Wuhan University, Wuhan, China
| | - Yaxuan Xie
- School of Health Sciences, Wuhan University, Wuhan, China
| | - Chao Shen
- College of Life Sciences, Wuhan University, Wuhan, China
- China Center for Type Culture Collection, Wuhan University, Wuhan, China
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Cortes GM, Marcialis MA, Bardanzellu F, Corrias A, Fanos V, Mussap M. Inflammatory Bowel Disease and COVID-19: How Microbiomics and Metabolomics Depict Two Sides of the Same Coin. Front Microbiol 2022; 13:856165. [PMID: 35391730 PMCID: PMC8981987 DOI: 10.3389/fmicb.2022.856165] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 02/21/2022] [Indexed: 12/11/2022] Open
Abstract
The integrity of the gastrointestinal tract structure and function is seriously compromised by two pathological conditions sharing, at least in part, several pathogenetic mechanisms: inflammatory bowel diseases (IBD) and coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. IBD and COVID-19 are marked by gut inflammation, intestinal barrier breakdown, resulting in mucosal hyperpermeability, gut bacterial overgrowth, and dysbiosis together with perturbations in microbial and human metabolic pathways originating changes in the blood and fecal metabolome. This review compared the most relevant metabolic and microbial alterations reported from the literature in patients with IBD with those in patients with COVID-19. In both diseases, gut dysbiosis is marked by the prevalence of pro-inflammatory bacterial species and the shortfall of anti-inflammatory species; most studies reported the decrease in Firmicutes, with a specific decrease in obligately anaerobic producers short-chain fatty acids (SCFAs), such as Faecalibacterium prausnitzii. In addition, Escherichia coli overgrowth has been observed in IBD and COVID-19, while Akkermansia muciniphila is depleted in IBD and overexpressed in COVID-19. In patients with COVID-19, gut dysbiosis continues after the clearance of the viral RNA from the upper respiratory tract and the resolution of clinical symptoms. Finally, we presented and discussed the impact of gut dysbiosis, inflammation, oxidative stress, and increased energy demand on metabolic pathways involving key metabolites, such as tryptophan, phenylalanine, histidine, glutamine, succinate, citrate, and lipids.
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Affiliation(s)
- Gian Mario Cortes
- Neonatal Intensive Care Unit, Department of Surgical Sciences, University of Cagliari, Monserrato, Italy
| | - Maria Antonietta Marcialis
- Neonatal Intensive Care Unit, Department of Surgical Sciences, University of Cagliari, Monserrato, Italy
| | - Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, University of Cagliari, Monserrato, Italy
| | - Angelica Corrias
- Neonatal Intensive Care Unit, Department of Surgical Sciences, University of Cagliari, Monserrato, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, University of Cagliari, Monserrato, Italy
| | - Michele Mussap
- Laboratory Medicine, Department of Surgical Sciences, School of Medicine, University of Cagliari, Monserrato, Italy
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Miller MR, DiBattista A, Patel MA, Daley M, Tenn C, Nakashima A, Rhind SG, Vartanian O, Shiu MY, Caddy N, Garrett M, Saunders D, Smith I, Jetly R, Fraser DD. A Distinct Metabolite Signature in Military Personnel Exposed to Repetitive Low-Level Blasts. Front Neurol 2022; 13:831792. [PMID: 35463119 PMCID: PMC9021419 DOI: 10.3389/fneur.2022.831792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/10/2022] [Indexed: 11/30/2022] Open
Abstract
Military Breachers and Range Staff (MBRS) are subjected to repeated sub-concussive blasts, and they often report symptoms that are consistent with a mild traumatic brain injury (mTBI). Biomarkers of blast injury would potentially aid blast injury diagnosis, surveillance and avoidance. Our objective was to identify plasma metabolite biomarkers in military personnel that were exposed to repeated low-level or sub-concussive blast overpressure. A total of 37 military members were enrolled (18 MBRS and 19 controls), with MBRS having participated in 8–20 breaching courses per year, with a maximum exposure of 6 blasts per day. The two cohorts were similar except that the number of blast exposures were significantly higher in the MBRS, and the MBRS cohort suffered significantly more post-concussive symptoms and poorer health on assessment. Metabolomics profiling demonstrated significant differences between groups with 74% MBRS classification accuracy (CA). Feature reduction identified 6 metabolites that resulted in a MBRS CA of 98%, and included acetic acid (23.7%), formate (22.6%), creatine (14.8%), acetone (14.2%), methanol (12,7%), and glutamic acid (12.0%). All 6 metabolites were examined with individual receiver operating characteristic (ROC) curve analyses and demonstrated areas-under-the-curve (AUCs) of 0.82–0.91 (P ≤ 0.001) for MBRS status. Several parsimonious combinations of three metabolites increased accuracy of ROC curve analyses to AUCs of 1.00 (P < 0.001), while a combination of volatile organic compounds (VOCs; acetic acid, acetone and methanol) yielded an AUC of 0.98 (P < 0.001). Candidate biomarkers for chronic blast exposure were identified, and if validated in a larger cohort, may aid surveillance and care of military personnel. Future point-of-care screening could be developed that measures VOCs from breath, with definitive diagnoses confirmed with plasma metabolomics profiling.
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Affiliation(s)
- Michael R. Miller
- Lawson Health Research Institute, London, ON, Canada
- Department of Pediatrics, Western University, London, ON, Canada
| | - Alicia DiBattista
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
- Neurolytix Inc., Toronto, ON, Canada
| | - Maitray A. Patel
- Department of Computer Science, Western University, London, ON, Canada
| | - Mark Daley
- Department of Computer Science, Western University, London, ON, Canada
- The Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - Catherine Tenn
- Defence Research and Development Canada, Suffield Research Centre, Medicine Hat, AB, Canada
| | - Ann Nakashima
- Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, Canada
| | - Shawn G. Rhind
- Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, Canada
- Faculty of Kinesiology & Physical Education, University of Toronto, Toronto, ON, Canada
| | - Oshin Vartanian
- Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, Canada
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Maria Y. Shiu
- Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, Canada
| | - Norleen Caddy
- Defence Research and Development Canada, Suffield Research Centre, Medicine Hat, AB, Canada
| | - Michelle Garrett
- Defence Research and Development Canada, Suffield Research Centre, Medicine Hat, AB, Canada
| | - Doug Saunders
- Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, Canada
| | - Ingrid Smith
- Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, Canada
| | - Rakesh Jetly
- Canadian Forces Health Services, National Defence Headquarters, Ottawa, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Department of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Douglas D. Fraser
- Lawson Health Research Institute, London, ON, Canada
- Department of Pediatrics, Western University, London, ON, Canada
- Neurolytix Inc., Toronto, ON, Canada
- Clinical Neurological Sciences, Western University, London, ON, Canada
- Physiology and Pharmacology, Western University, London, ON, Canada
- *Correspondence: Douglas D. Fraser
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Castiglione Morelli MA, Iuliano A, Schettini SCA, Ferri A, Colucci P, Viggiani L, Matera I, Ostuni A. Are the Follicular Fluid Characteristics of Recovered Coronavirus Disease 2019 Patients Different From Those of Vaccinated Women Approaching in vitro Fertilization? Front Physiol 2022; 13:840109. [PMID: 35283772 PMCID: PMC8905595 DOI: 10.3389/fphys.2022.840109] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/26/2022] [Indexed: 12/18/2022] Open
Abstract
The aim of this pilot study is to evaluate if SARS-CoV-2 infection or vaccination against SARS-CoV-2 infection induce observable metabolic effects in follicular fluid of women who are following in vitro fertilization (IVF) treatments. The possible impact of coronavirus disease 2019 (COVID-19) on fertility and IVF outcome is considered. We have selected for this study: six women vaccinated against SARS-CoV-2 infection, five recovered COVID-19 patients, and we used nine healthy women as the control group. At the time of oocytes retrieval from participants in the study, follicular fluids were collected and metabolomic analysis was performed by 1H NMR spectroscopy in combination with multivariate analysis to interpret the spectral data. The search for antibody positivity in the follicular fluid aspirates was also carried out, together with the western blotting analysis of some inflammatory proteins, interleukin-6, tumor necrosis factor α (TNFα), and the free radical scavenger superoxide dismutase 2. Higher levels of Ala and Pro together with lower levels of lipids and trimethylamine N-oxide (TMAO) were found in follicular fluids (FFs) of vaccinated women while lower levels of many metabolites were detected in FFs of recovered COVID patients. Expression level of TNF-α was significantly lower both in recovered COVID-19 patients and vaccinated women in comparison to healthy controls.
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Affiliation(s)
| | - Assunta Iuliano
- Center for Reproductive Medicine of "San Carlo" Hospital, Potenza, Italy
| | | | - Angela Ferri
- Center for Reproductive Medicine of "San Carlo" Hospital, Potenza, Italy
| | - Paola Colucci
- Center for Reproductive Medicine of "San Carlo" Hospital, Potenza, Italy
| | - Licia Viggiani
- Department of Sciences, University of Basilicata, Potenza, Italy
| | - Ilenia Matera
- Department of Sciences, University of Basilicata, Potenza, Italy
| | - Angela Ostuni
- Department of Sciences, University of Basilicata, Potenza, Italy
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de Oliveira JADP, de Athaide MM, Rahman AU, de Mattos Barbosa MG, Jardim MM, Moraes MO, Pinheiro RO. Kynurenines in the Pathogenesis of Peripheral Neuropathy During Leprosy and COVID-19. Front Cell Infect Microbiol 2022; 12:815738. [PMID: 35281455 PMCID: PMC8907883 DOI: 10.3389/fcimb.2022.815738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/27/2022] [Indexed: 11/18/2022] Open
Abstract
Inflammatory disorders are associated with the activation of tryptophan (TRYP) catabolism via the kynurenine pathway (KP). Several reports have demonstrated the role of KP in the immunopathophysiology of both leprosy and coronavirus disease 19 (COVID-19). The nervous system can be affected in infections caused by both Mycobacterium leprae and SARS-CoV-2, but the mechanisms involved in the peripheral neural damage induced by these infectious agents are not fully understood. In recent years KP has received greater attention due the importance of kynurenine metabolites in infectious diseases, immune dysfunction and nervous system disorders. In this review, we discuss how modulation of the KP may aid in controlling the damage to peripheral nerves and the effects of KP activation on neural damage during leprosy or COVID-19 individually and we speculate its role during co-infection.
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Affiliation(s)
| | | | - Atta Ur Rahman
- Leprosy Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | | | - Marcia Maria Jardim
- Leprosy Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Department of Neurology, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Milton Ozório Moraes
- Leprosy Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Roberta Olmo Pinheiro
- Leprosy Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- *Correspondence: Roberta Olmo Pinheiro,
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Costanzo M, Caterino M, Fedele R, Cevenini A, Pontillo M, Barra L, Ruoppolo M. COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19. Int J Mol Sci 2022; 23:ijms23052414. [PMID: 35269564 PMCID: PMC8910221 DOI: 10.3390/ijms23052414] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/04/2022] [Accepted: 02/18/2022] [Indexed: 02/06/2023] Open
Abstract
Omics-based technologies have been largely adopted during this unprecedented global COVID-19 pandemic, allowing the scientific community to perform research on a large scale to understand the pathobiology of the SARS-CoV-2 infection and its replication into human cells. The application of omics techniques has been addressed to every level of application, from the detection of mutations, methods of diagnosis or monitoring, drug target discovery, and vaccine generation, to the basic definition of the pathophysiological processes and the biochemical mechanisms behind the infection and spread of SARS-CoV-2. Thus, the term COVIDomics wants to include those efforts provided by omics-scale investigations with application to the current COVID-19 research. This review summarizes the diverse pieces of knowledge acquired with the application of COVIDomics techniques, with the main focus on proteomics and metabolomics studies, in order to capture a common signature in terms of proteins, metabolites, and pathways dysregulated in COVID-19 disease. Exploring the multiomics perspective and the concurrent data integration may provide new suitable therapeutic solutions to combat the COVID-19 pandemic.
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Affiliation(s)
- Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Roberta Fedele
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Armando Cevenini
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Mariarca Pontillo
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Lucia Barra
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Margherita Ruoppolo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
- Correspondence:
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Jia H, Liu C, Li D, Huang Q, Liu D, Zhang Y, Ye C, Zhou D, Wang Y, Tan Y, Li K, Lin F, Zhang H, Lin J, Xu Y, Liu J, Zeng Q, Hong J, Chen G, Zhang H, Zheng L, Deng X, Ke C, Gao Y, Fan J, Di B, Liang H. Metabolomic analyses reveal new stage-specific features of COVID-19. Eur Respir J 2022; 59:2100284. [PMID: 34289974 PMCID: PMC8311281 DOI: 10.1183/13993003.00284-2021] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 06/28/2021] [Indexed: 01/10/2023]
Abstract
The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and has caused millions of deaths worldwide, at least in part due to the unclarified pathophysiology of this disease. Identifying the underlying molecular mechanisms of COVID-19 is critical to overcome this pandemic. Metabolites mirror the disease progression of an individual and can provide extensive insights into their pathophysiological significance at each stage of disease. We provide a comprehensive view of metabolic characterisation of sera from COVID-19 patients at all stages using untargeted and targeted metabolomic analysis. As compared with the healthy controls, we observed different alteration patterns of circulating metabolites from the mild, severe and recovery stages, in both the discovery cohort and the validation cohort, which suggests that metabolic reprogramming of glucose metabolism and the urea cycle are potential pathological mechanisms for COVID-19 progression. Our findings suggest that targeting glucose metabolism and the urea cycle may be a viable approach to fight COVID-19 at various stages along the disease course.
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Affiliation(s)
- Hongling Jia
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Dept of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China
- These authors contributed equally to this study
| | - Chaowu Liu
- Guangdong Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangzhou, China
- These authors contributed equally to this study
| | - Dantong Li
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China
- These authors contributed equally to this study
| | - Qingsheng Huang
- Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
- These authors contributed equally to this study
| | - Dong Liu
- Big Data and Machine Learning Laboratory, Chongqing University of Technology, Chongqing, China
- These authors contributed equally to this study
| | - Ying Zhang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- These authors contributed equally to this study
| | - Chang Ye
- Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Di Zhou
- Metabo-Profile Biotechnology (Shanghai) Co. Ltd, Shanghai, China
| | - Yang Wang
- Metabo-Profile Biotechnology (Shanghai) Co. Ltd, Shanghai, China
| | - Yanlian Tan
- Dept of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China
| | - Kuibiao Li
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Fangqin Lin
- Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Haiqing Zhang
- Dept of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingchao Lin
- Metabo-Profile Biotechnology (Shanghai) Co. Ltd, Shanghai, China
| | - Yang Xu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Jingwen Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Qing Zeng
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Jian Hong
- Dept of Pathophysiology, School of Medicine, Jinan University, Guangzhou, China
| | - Guobing Chen
- Institute of Geriatric Immunology, Dept of Microbiology and Immunology, School of Medicine, Dept of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | - Hao Zhang
- Institute of Precision Cancer Medicine and Pathology, School of Medicine, Jinan University, Guangzhou, China
| | - Lingling Zheng
- Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xilong Deng
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China
| | - Changwen Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yunfei Gao
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai, China
- The Biomedical Translational Research Institute, Jinan University Faculty of Medical Science, Jinan University, Guangzhou, China
- Yunfei Gao, Jun Fan, Biao Di and Huiying Liang are joint lead authors
| | - Jun Fan
- Dept of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China
- Yunfei Gao, Jun Fan, Biao Di and Huiying Liang are joint lead authors
| | - Biao Di
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Yunfei Gao, Jun Fan, Biao Di and Huiying Liang are joint lead authors
| | - Huiying Liang
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China
- Yunfei Gao, Jun Fan, Biao Di and Huiying Liang are joint lead authors
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Valdés A, Moreno LO, Rello SR, Orduña A, Bernardo D, Cifuentes A. Metabolomics study of COVID-19 patients in four different clinical stages. Sci Rep 2022; 12:1650. [PMID: 35102215 PMCID: PMC8803913 DOI: 10.1038/s41598-022-05667-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 12/13/2021] [Indexed: 12/22/2022] Open
Abstract
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is the coronavirus strain causing the respiratory pandemic COVID-19 (coronavirus disease 2019). To understand the pathobiology of SARS-CoV-2 in humans it is necessary to unravel the metabolic changes that are produced in the individuals once the infection has taken place. The goal of this work is to provide new information about the altered biomolecule profile and with that the altered biological pathways of patients in different clinical situations due to SARS-CoV-2 infection. This is done via metabolomics using HPLC-QTOF-MS analysis of plasma samples at COVID-diagnose from a total of 145 adult patients, divided into different clinical stages based on their subsequent clinical outcome (25 negative controls (non-COVID); 28 positive patients with asymptomatic disease not requiring hospitalization; 27 positive patients with mild disease defined by a total time in hospital lower than 10 days; 36 positive patients with severe disease defined by a total time in hospital over 20 days and/or admission at the ICU; and 29 positive patients with fatal outcome or deceased). Moreover, follow up samples between 2 and 3 months after hospital discharge were also obtained from the hospitalized patients with mild prognosis. The final goal of this work is to provide biomarkers that can help to better understand how the COVID-19 illness evolves and to predict how a patient could progress based on the metabolites profile of plasma obtained at an early stage of the infection. In the present work, several metabolites were found as potential biomarkers to distinguish between the end-stage and the early-stage (or non-COVID) disease groups. These metabolites are mainly involved in the metabolism of carnitines, ketone bodies, fatty acids, lysophosphatidylcholines/phosphatidylcholines, tryptophan, bile acids and purines, but also omeprazole. In addition, the levels of several of these metabolites decreased to "normal" values at hospital discharge, suggesting some of them as early prognosis biomarkers in COVID-19 at diagnose.
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Affiliation(s)
- Alberto Valdés
- Laboratory of Foodomics, Institute of Food Science Research, CIAL, CSIC, Nicolás Cabrera 9, 28049, Madrid, Spain
| | - Lorena Ortega Moreno
- Dpt. Medicina, Universidad Autónoma de Madrid, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario de La Princesa, Madrid, Spain
- Centro de Investigación Biomédica en Red (CIBERehd), Barcelona, Spain
| | - Silvia Rojo Rello
- Servicio de Microbiología, Hospital Clínico Universitario de Valladolid, 47004, Valladolid, Spain
| | - Antonio Orduña
- Servicio de Microbiología, Hospital Clínico Universitario de Valladolid, 47004, Valladolid, Spain
- Departamento de Microbiología, Universidad de Valladolid, Valladolid, Spain
| | - David Bernardo
- Centro de Investigación Biomédica en Red (CIBERehd), Barcelona, Spain
- Unidad de Excelencia Instituto de Biomedicina y Genética Molecular (IBGM), Universidad de Valladolid-CSIC, Valladolid, Spain
| | - Alejandro Cifuentes
- Laboratory of Foodomics, Institute of Food Science Research, CIAL, CSIC, Nicolás Cabrera 9, 28049, Madrid, Spain.
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Du X, Aristizabal-Henao JJ, Garrett TJ, Brochhausen M, Hogan WR, Lemas DJ. A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research. Metabolites 2022; 12:87. [PMID: 35050209 PMCID: PMC8779534 DOI: 10.3390/metabo12010087] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 12/25/2021] [Accepted: 01/10/2022] [Indexed: 12/15/2022] Open
Abstract
Clinical metabolomics emerged as a novel approach for biomarker discovery with the translational potential to guide next-generation therapeutics and precision health interventions. However, reproducibility in clinical research employing metabolomics data is challenging. Checklists are a helpful tool for promoting reproducible research. Existing checklists that promote reproducible metabolomics research primarily focused on metadata and may not be sufficient to ensure reproducible metabolomics data processing. This paper provides a checklist including actions that need to be taken by researchers to make computational steps reproducible for clinical metabolomics studies. We developed an eight-item checklist that includes criteria related to reusable data sharing and reproducible computational workflow development. We also provided recommended tools and resources to complete each item, as well as a GitHub project template to guide the process. The checklist is concise and easy to follow. Studies that follow this checklist and use recommended resources may facilitate other researchers to reproduce metabolomics results easily and efficiently.
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Affiliation(s)
- Xinsong Du
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA; (X.D.); (W.R.H.)
| | | | - Timothy J. Garrett
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA;
| | - Mathias Brochhausen
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - William R. Hogan
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA; (X.D.); (W.R.H.)
| | - Dominick J. Lemas
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA; (X.D.); (W.R.H.)
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Celaya-Padilla JM, Villagrana-Bañuelos KE, Oropeza-Valdez JJ, Monárrez-Espino J, Castañeda-Delgado JE, Oostdam ASHV, Fernández-Ruiz JC, Ochoa-González F, Borrego JC, Enciso-Moreno JA, López JA, López-Hernández Y, Galván-Tejada CE. Kynurenine and Hemoglobin as Sex-Specific Variables in COVID-19 Patients: A Machine Learning and Genetic Algorithms Approach. Diagnostics (Basel) 2021; 11:2197. [PMID: 34943434 PMCID: PMC8700648 DOI: 10.3390/diagnostics11122197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/21/2021] [Accepted: 11/21/2021] [Indexed: 11/16/2022] Open
Abstract
Differences in clinical manifestations, immune response, metabolic alterations, and outcomes (including disease severity and mortality) between men and women with COVID-19 have been reported since the pandemic outbreak, making it necessary to implement sex-specific biomarkers for disease diagnosis and treatment. This study aimed to identify sex-associated differences in COVID-19 patients by means of a genetic algorithm (GALGO) and machine learning, employing support vector machine (SVM) and logistic regression (LR) for the data analysis. Both algorithms identified kynurenine and hemoglobin as the most important variables to distinguish between men and women with COVID-19. LR and SVM identified C10:1, cough, and lysoPC a 14:0 to discriminate between men with COVID-19 from men without, with LR being the best model. In the case of women with COVID-19 vs. women without, SVM had a higher performance, and both models identified a higher number of variables, including 10:2, lysoPC a C26:0, lysoPC a C28:0, alpha-ketoglutaric acid, lactic acid, cough, fever, anosmia, and dysgeusia. Our results demonstrate that differences in sexes have implications in the diagnosis and outcome of the disease. Further, genetic and machine learning algorithms are useful tools to predict sex-associated differences in COVID-19.
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Affiliation(s)
- Jose M. Celaya-Padilla
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (J.M.C.-P.); (K.E.V.-B.)
| | - Karen E. Villagrana-Bañuelos
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (J.M.C.-P.); (K.E.V.-B.)
| | - Juan José Oropeza-Valdez
- Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Centro, Zacatecas 98000, Mexico; (J.J.O.-V.); (J.E.C.-D.); (J.C.F.-R.); (F.O.-G.); (J.A.E.-M.)
| | - Joel Monárrez-Espino
- Department of Health Research, Christus Muguerza del Parque Hospital Chihuahua, University of Monterrey, San Pedro Garza García 66238, Mexico;
| | - Julio E. Castañeda-Delgado
- Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Centro, Zacatecas 98000, Mexico; (J.J.O.-V.); (J.E.C.-D.); (J.C.F.-R.); (F.O.-G.); (J.A.E.-M.)
- Cátedras-CONACyT, Consejo Nacional de Ciencia y Tecnología, Ciudad de México 03940, Mexico
| | - Ana Sofía Herrera-Van Oostdam
- Doctorado en Ciencias Biomédicas Básicas, Centro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78210, Mexico;
| | - Julio César Fernández-Ruiz
- Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Centro, Zacatecas 98000, Mexico; (J.J.O.-V.); (J.E.C.-D.); (J.C.F.-R.); (F.O.-G.); (J.A.E.-M.)
| | - Fátima Ochoa-González
- Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Centro, Zacatecas 98000, Mexico; (J.J.O.-V.); (J.E.C.-D.); (J.C.F.-R.); (F.O.-G.); (J.A.E.-M.)
- Área de Ciencias de la Salud, Universidad Autónoma de Zacatecas, Carretera Zacatecas–Guadalajara kilometro 6, Ejido la Escondida, Zacatecas 98160, Mexico
| | - Juan Carlos Borrego
- Departamento de Epidemiología, Hospital General de Zona #1 “Emilio Varela Luján”, Instituto Mexicano del Seguro Social, Centro, Zacatecas 98000, Mexico;
| | - Jose Antonio Enciso-Moreno
- Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Centro, Zacatecas 98000, Mexico; (J.J.O.-V.); (J.E.C.-D.); (J.C.F.-R.); (F.O.-G.); (J.A.E.-M.)
| | - Jesús Adrián López
- Laboratorio de MicroRNAs y Cáncer, Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico;
| | - Yamilé López-Hernández
- Cátedras-CONACyT, Consejo Nacional de Ciencia y Tecnología, Ciudad de México 03940, Mexico
- Metabolomics and Proteomics Laboratory, Autonomous University of Zacatecas, Zacatecas 98000, Mexico
| | - Carlos E. Galván-Tejada
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (J.M.C.-P.); (K.E.V.-B.)
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Cumpstey AF, Clark AD, Santolini J, Jackson AA, Feelisch M. COVID-19: A Redox Disease-What a Stress Pandemic Can Teach Us About Resilience and What We May Learn from the Reactive Species Interactome About Its Treatment. Antioxid Redox Signal 2021; 35:1226-1268. [PMID: 33985343 DOI: 10.1089/ars.2021.0017] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Significance: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing coronavirus disease 2019 (COVID-19), affects every aspect of human life by challenging bodily, socioeconomic, and political systems at unprecedented levels. As vaccines become available, their distribution, safety, and efficacy against emerging variants remain uncertain, and specific treatments are lacking. Recent Advances: Initially affecting the lungs, COVID-19 is a complex multisystems disease that disturbs the whole-body redox balance and can be long-lasting (Long-COVID). Numerous risk factors have been identified, but the reasons for variations in susceptibility to infection, disease severity, and outcome are poorly understood. The reactive species interactome (RSI) was recently introduced as a framework to conceptualize how cells and whole organisms sense, integrate, and accommodate stress. Critical Issues: We here consider COVID-19 as a redox disease, offering a holistic perspective of its effects on the human body, considering the vulnerability of complex interconnected systems with multiorgan/multilevel interdependencies. Host/viral glycan interactions underpin SARS-CoV-2's extraordinary efficiency in gaining cellular access, crossing the epithelial/endothelial barrier to spread along the vascular/lymphatic endothelium, and evading antiviral/antioxidant defences. An inflammation-driven "oxidative storm" alters the redox landscape, eliciting epithelial, endothelial, mitochondrial, metabolic, and immune dysfunction, and coagulopathy. Concomitantly reduced nitric oxide availability renders the sulfur-based redox circuitry vulnerable to oxidation, with eventual catastrophic failure in redox communication/regulation. Host nutrient limitations are crucial determinants of resilience at the individual and population level. Future Directions: While inflicting considerable damage to health and well-being, COVID-19 may provide the ultimate testing ground to improve the diagnosis and treatment of redox-related stress diseases. "Redox phenotyping" of patients to characterize whole-body RSI status as the disease progresses may inform new therapeutic approaches to regain redox balance, reduce mortality in COVID-19 and other redox diseases, and provide opportunities to tackle Long-COVID. Antioxid. Redox Signal. 35, 1226-1268.
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Affiliation(s)
- Andrew F Cumpstey
- Respiratory and Critical Care Research Group, Southampton NIHR Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.,Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Anna D Clark
- Respiratory and Critical Care Research Group, Southampton NIHR Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.,Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Jérôme Santolini
- Institute for Integrative Biology of the Cell (I2BC), Biochemistry, Biophysics and Structural Biology, CEA, CNRS, Université Paris-Sud, Universite Paris-Saclay, Gif-sur-Yvette, France
| | - Alan A Jackson
- Human Nutrition, University of Southampton and University Hospital Southampton, Southampton, United Kingdom
| | - Martin Feelisch
- Respiratory and Critical Care Research Group, Southampton NIHR Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.,Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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Ramirez-Sanchez I, Navarrete-Yañez V, Garate-Carrillo A, Lara-Hernandez M, Espinosa-Raya J, Moreno-Ulloa A, Gomez-Diaz B, Cedeño-Garcidueñas AL, Ceballos G, Villarreal F. Restorative potential of (-)-epicatechin in a rat model of Gulf War illness muscle atrophy and fatigue. Sci Rep 2021; 11:21861. [PMID: 34750405 DOI: 10.1038/s41598-021-01093-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 10/22/2021] [Indexed: 01/05/2023] Open
Abstract
We examined in a rat model of Gulf War illness (GWI), the potential of (-)-epicatechin (Epi) to reverse skeletal muscle (SkM) atrophy and dysfunction, decrease mediators of inflammation and normalize metabolic perturbations. Male Wistar rats (n = 15) were provided orally with pyridostigmine bromide (PB) 1.3 mg/kg/day, permethrin (PM) 0.13 mg/kg/day (skin), DEET 40 mg/kg/day (skin) and were physically restrained for 5 min/day for 3 weeks. A one-week period ensued to fully develop the GWI-like profile followed by 2 weeks of either Epi treatment at 1 mg/kg/day by gavage (n = 8) or water (n = 7) for controls. A normal, control group (n = 15) was given vehicle and not restrained. At 6 weeks, animals were subjected to treadmill and limb strength testing followed by euthanasia. SkM and blood sampling was used for histological, biochemical and plasma pro-inflammatory cytokine and metabolomics assessments. GWI animals developed an intoxication profile characterized SkM atrophy and loss of function accompanied by increases in modulators of muscle atrophy, degradation markers and plasma pro-inflammatory cytokine levels. Treatment of GWI animals with Epi yielded either a significant partial or full normalization of the above stated indicators relative to normal controls. Plasma metabolomics revealed that metabolites linked to inflammation and SkM waste pathways were dysregulated in the GWI group whereas Epi, attenuated such changes. In conclusion, in a rat model of GWI, Epi partially reverses detrimental changes in SkM structure including modulators of atrophy, inflammation and select plasma metabolites yielding improved function.
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Saccon E, Bandera A, Sciumè M, Mikaeloff F, Lashari AA, Aliberti S, Sachs MC, Billi F, Blasi F, Gabriel EE, Costantino G, De Roberto P, Krishnan S, Gori A, Peyvandi F, Scudeller L, Canetta C, Lorson CL, Valenti L, Singh K, Baldini L, Fracchiolla NS, Neogi U. Distinct Metabolic Profile Associated with a Fatal Outcome in COVID-19 Patients during the Early Epidemic in Italy. Microbiol Spectr 2021; 9:e0054921. [PMID: 34468185 PMCID: PMC8565516 DOI: 10.1128/spectrum.00549-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/30/2021] [Indexed: 01/10/2023] Open
Abstract
In one year of the coronavirus disease 2019 (COVID-19) pandemic, many studies have described the different metabolic changes occurring in COVID-19 patients, linking these alterations to the disease severity. However, a complete metabolic signature of the most severe cases, especially those with a fatal outcome, is still missing. Our study retrospectively analyzes the metabolome profiles of 75 COVID-19 patients with moderate and severe symptoms admitted to Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (Lombardy Region, Italy) following SARS-CoV-2 infection between March and April 2020. Italy was the first Western country to experience COVID-19, and the Lombardy Region was the epicenter of the Italian COVID-19 pandemic. This cohort shows a higher mortality rate compared to others; therefore, it represents a unique opportunity to investigate the underlying metabolic profiles of the first COVID-19 patients in Italy and to identify the potential biomarkers related to the disease prognosis and fatal outcome. IMPORTANCE Understanding the metabolic alterations occurring during an infection is a key element for identifying potential indicators of the disease prognosis, which are fundamental for developing efficient diagnostic tools and offering the best therapeutic treatment to the patient. Here, exploiting high-throughput metabolomics data, we identified the first metabolic profile associated with a fatal outcome, not correlated with preexisting clinical conditions or the oxygen demand at the moment of diagnosis. Overall, our results contribute to a better understanding of COVID-19-related metabolic disruption and may represent a useful starting point for the identification of independent prognostic factors to be employed in therapeutic practice.
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Affiliation(s)
- Elisa Saccon
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
| | - Alessandra Bandera
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy
| | - Mariarita Sciumè
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Flora Mikaeloff
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
| | - Abid A. Lashari
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefano Aliberti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Internal Medicine Department, Respiratory Unit and Cystic Fibrosis Adult Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michael C. Sachs
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Filippo Billi
- Acute Medical Unit, Department of Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesco Blasi
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Internal Medicine Department, Respiratory Unit and Cystic Fibrosis Adult Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Erin E. Gabriel
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Giorgio Costantino
- Department of Anesthesia, Critical Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Pasquale De Roberto
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Shuba Krishnan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
| | - Andrea Gori
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy
| | - Flora Peyvandi
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Luigia Scudeller
- Clinical Trials Team, Scientific Direction, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ciro Canetta
- Acute Medical Unit, Department of Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Christian L. Lorson
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Veterinary Pathobiology, University of Missouri, Columbia, Missouri, USA
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Precision Medicine Unit, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Kamal Singh
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Veterinary Pathobiology, University of Missouri, Columbia, Missouri, USA
| | - Luca Baldini
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | | | - on behalf of the COVID-19 Network Working Group,
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Internal Medicine Department, Respiratory Unit and Cystic Fibrosis Adult Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Acute Medical Unit, Department of Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Anesthesia, Critical Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Clinical Trials Team, Scientific Direction, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Veterinary Pathobiology, University of Missouri, Columbia, Missouri, USA
- Precision Medicine Unit, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Ujjwal Neogi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
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44
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Abstract
Coronaviruses are single-stranded RNA viruses that affect humans and a wide variety of animal species, including livestock, wild animals, birds, and pets. These viruses have an affinity for different tissues, such as those of the respiratory and gastrointestinal tract of most mammals and birds and the hepatic and nervous tissues of rodents and porcine. As coronaviruses target different host cell receptors and show divergence in the sequences and motifs of their structural and accessory proteins, they are classified into groups, which may explain the evolutionary relationship between them. The interspecies transmission, zoonotic potential, and ability to mutate at a higher rate and emerge into variants of concern highlight their importance in the medical and veterinary fields. The contribution of various factors that result in their evolution will provide better insight and may help to understand the complexity of coronaviruses in the face of pandemics. In this review, important aspects of coronaviruses infecting livestock, birds, and pets, in particular, their structure and genome organization having a bearing on evolutionary and zoonotic outcomes, have been discussed.
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Affiliation(s)
| | - Subhash Verma
- Department of Veterinary Microbiology, DGCN College of Veterinary and Animal Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
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45
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Vyavahare S, Kumar S, Cantu N, Kolhe R, Bollag WB, McGee-Lawrence ME, Hill WD, Hamrick MW, Isales CM, Fulzele S. Tryptophan-Kynurenine Pathway in COVID-19-Dependent Musculoskeletal Pathology: A Minireview. Mediators Inflamm 2021; 2021:2911578. [PMID: 34621138 PMCID: PMC8492288 DOI: 10.1155/2021/2911578] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/09/2021] [Accepted: 09/21/2021] [Indexed: 12/28/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), affecting multiple organ systems, including the respiratory tract and lungs. Several studies have reported that the tryptophan-kynurenine pathway is altered in COVID-19 patients. The tryptophan-kynurenine pathway plays a vital role in regulating inflammation, metabolism, immune responses, and musculoskeletal system biology. In this minireview, we surmise the effects of the kynurenine pathway in COVID-19 patients and how this pathway might impact muscle and bone biology.
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Affiliation(s)
- Sagar Vyavahare
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
| | - Sandeep Kumar
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
| | - Nicholas Cantu
- Department of Medicine, Augusta University, Augusta, GA, USA
| | - Ravindra Kolhe
- Department of Pathology, Augusta University, Augusta, GA, USA
| | - Wendy B. Bollag
- Department of Physiology, Augusta University, Augusta, GA, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
| | - Meghan E. McGee-Lawrence
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
| | - William D. Hill
- Department of Pathology, Medical University of South Carolina, Charleston, SC, USA
| | - Mark W. Hamrick
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
| | - Carlos M. Isales
- Department of Medicine, Augusta University, Augusta, GA, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
| | - Sadanand Fulzele
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA, USA
- Department of Medicine, Augusta University, Augusta, GA, USA
- Center for Healthy Aging, Augusta University, Augusta, GA, USA
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46
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Suvarna K, Salkar A, Palanivel V, Bankar R, Banerjee N, Gayathri J Pai M, Srivastava A, Singh A, Khatri H, Agrawal S, Shrivastav O, Shastri J, Srivastava S. A Multi-omics Longitudinal Study Reveals Alteration of the Leukocyte Activation Pathway in COVID-19 Patients. J Proteome Res 2021; 20:4667-4680. [PMID: 34379420 PMCID: PMC8370121 DOI: 10.1021/acs.jproteome.1c00215] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Indexed: 12/24/2022]
Abstract
Severe coronavirus disease 2019 (COVID-19) infection may lead to lung injury, multi-organ failure, and eventually death. Cytokine storm due to excess cytokine production has been associated with fatality in severe infections. However, the specific molecular signatures associated with the elevated immune response are yet to be elucidated. We performed a mass-spectrometry-based proteomic and metabolomic analysis of COVID-19 plasma samples collected at two time points. Using Orbitrap Fusion LC-MS/MS-based label-free proteomic analysis, we identified around 10 significant proteins, 32 significant peptides, and 5 metabolites that were dysregulated at the severe time points. Few of these proteins identified by quantitative proteomics were validated using the multiple reaction monitoring (MRM) assay. Integrated pathway analysis using distinct proteomic and metabolomic signatures revealed alterations in complement and coagulation cascade, platelet aggregation, myeloid leukocyte activation pathway, and arginine metabolism. Further, we highlight the role of leukocyte activation and arginine metabolism in COVID-19 pathogenesis and targeting these pathways for COVID-19 therapeutics.
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Affiliation(s)
- Kruthi Suvarna
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Akanksha Salkar
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Viswanthram Palanivel
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Renuka Bankar
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Nirjhar Banerjee
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Medha Gayathri J Pai
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Alisha Srivastava
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
- University of Delhi, New
Delhi, Delhi 110021, India
| | - Avinash Singh
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Harsh Khatri
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
| | - Sachee Agrawal
- Kasturba Hospital for Infectious
Diseases, Chinchpokli, Mumbai, Maharashtra 400034,
India
| | - Om Shrivastav
- Kasturba Hospital for Infectious
Diseases, Chinchpokli, Mumbai, Maharashtra 400034,
India
| | - Jayanthi Shastri
- Kasturba Hospital for Infectious
Diseases, Chinchpokli, Mumbai, Maharashtra 400034,
India
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering,
Indian Institute of Technology Bombay, Powai, Mumbai 400076,
India
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47
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Abstract
The COVID-19 pandemic is spreading around the world and 187 million people have already been affected. One of its after-effects is post-COVID depression, which, according to the latest data, affects up to 40% of people who have had SARS-CoV-2 infection. A very important issue for the mental health of the general population is to look for the causes of this complication and its biomarkers. This will help in faster diagnosis and effective treatment of the affected patients. In our work, we focused on the search for major depressive disorder (MDD) biomarkers, which are also present in COVID-19 patients and may influence the development of post-COVID depression. For this purpose, we searched PubMed, Scopus and Google Scholar scientific literature databases using keywords such as 'COVID-19', 'SARS-CoV-2', 'depression', 'post-COVID', 'biomarkers' and others. Among the biomarkers found, the most important that were frequently described are increased levels of interleukin 6 (IL-6), soluble interleukin 6 receptor (sIL-6R), interleukin 1 β (IL-1β), tumor necrosis factor α (TNF-α), interferon gamma (IFN-γ), interleukin 10 (IL-10), interleukin 2 (IL-2), soluble interleukin 2 receptor (sIL-2R), C-reactive protein (CRP), Monocyte Chemoattractant Protein-1 (MCP-1), serum amyloid a (SAA1) and metabolites of the kynurenine pathway, as well as decreased brain derived neurotrophic factor (BDNF) and tryptophan (TRP). The biomarkers identified by us indicate the etiopathogenesis of post-COVID depression analogous to the leading inflammatory hypothesis of MDD.
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Affiliation(s)
- Piotr Lorkiewicz
- Department of Psychiatry, Medical University of Bialystok, Plac Brodowicza 1, 16-070 Choroszcz, Poland;
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48
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Bourgin M, Derosa L, Silva CAC, Goubet AG, Dubuisson A, Danlos FX, Grajeda-Iglesias C, Cerbone L, Geraud A, Laparra A, Aprahamian F, Nirmalathasan N, Madeo F, Zitvogel L, Kroemer G, Durand S. Circulating acetylated polyamines correlate with Covid-19 severity in cancer patients. Aging (Albany NY) 2021; 13:20860-20885. [PMID: 34517343 PMCID: PMC8457559 DOI: 10.18632/aging.203525] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/02/2021] [Indexed: 12/18/2022]
Abstract
Cancer patients are particularly susceptible to the development of severe Covid-19, prompting us to investigate the serum metabolome of 204 cancer patients enrolled in the ONCOVID trial. We previously described that the immunosuppressive tryptophan/kynurenine metabolite anthranilic acid correlates with poor prognosis in non-cancer patients. In cancer patients, we observed an elevation of anthranilic acid at baseline (without Covid-19 diagnosis) and no further increase with mild or severe Covid-19. We found that, in cancer patients, Covid-19 severity was associated with the depletion of two bacterial metabolites, indole-3-proprionate and 3-phenylproprionate, that both positively correlated with the levels of several inflammatory cytokines. Most importantly, we observed that the levels of acetylated polyamines (in particular N1-acetylspermidine, N1,N8-diacetylspermidine and N1,N12-diacetylspermine), alone or in aggregate, were elevated in severe Covid-19 cancer patients requiring hospitalization as compared to uninfected cancer patients or cancer patients with mild Covid-19. N1-acetylspermidine and N1,N8-diacetylspermidine were also increased in patients exhibiting prolonged viral shedding (>40 days). An abundant literature indicates that such acetylated polyamines increase in the serum from patients with cancer, cardiovascular disease or neurodegeneration, associated with poor prognosis. Our present work supports the contention that acetylated polyamines are associated with severe Covid-19, both in the general population and in patients with malignant disease. Severe Covid-19 is characterized by a specific metabolomic signature suggestive of the overactivation of spermine/spermidine N1-acetyl transferase-1 (SAT1), which catalyzes the first step of polyamine catabolism.
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Affiliation(s)
- Mélanie Bourgin
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris 75006, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif 94805, France
| | - Lisa Derosa
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Inserm U1015, Villejuif 94805, France
- Center of Clinical Investigations in Biotherapies of Cancer (Biotheris), Villejuif 94805, France
| | - Carolina Alves Costa Silva
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Inserm U1015, Villejuif 94805, France
- Center of Clinical Investigations in Biotherapies of Cancer (Biotheris), Villejuif 94805, France
- Faculty of Medicine, Université Paris Saclay, Le Kremlin-Bicêtre 94270, France
| | - Anne-Gaëlle Goubet
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Inserm U1015, Villejuif 94805, France
- Center of Clinical Investigations in Biotherapies of Cancer (Biotheris), Villejuif 94805, France
- Faculty of Medicine, Université Paris Saclay, Le Kremlin-Bicêtre 94270, France
| | - Agathe Dubuisson
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Inserm U1015, Villejuif 94805, France
| | - François-Xavier Danlos
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Faculty of Medicine, Université Paris Saclay, Le Kremlin-Bicêtre 94270, France
| | - Claudia Grajeda-Iglesias
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris 75006, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif 94805, France
| | - Luigi Cerbone
- Cancer Medicine Department, Gustave Roussy, Villejuif 94805, France
- Inserm U981, Villejuif 94805, France
| | - Arthur Geraud
- Department of Drug Development (DITEP), Gustave Roussy, Villejuif 94805, France
- Cancer Medicine Department, Gustave Roussy, Villejuif 94805, France
| | - Ariane Laparra
- Department of Drug Development (DITEP), Gustave Roussy, Villejuif 94805, France
| | - Fanny Aprahamian
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris 75006, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif 94805, France
| | - Nitharsshini Nirmalathasan
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris 75006, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif 94805, France
| | - Frank Madeo
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz 8010, Austria
- BioTechMed-Graz, Graz 8010, Austria
- Field of Excellence BioHealth, University of Graz, Graz 8010, Austria
| | - Laurence Zitvogel
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Inserm U1015, Villejuif 94805, France
- Center of Clinical Investigations in Biotherapies of Cancer (Biotheris), Villejuif 94805, France
- Faculty of Medicine, Université Paris Saclay, Le Kremlin-Bicêtre 94270, France
| | - Guido Kroemer
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris 75006, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif 94805, France
- Pôle De Biologie, Hôpital Européen Georges Pompidou, AP-HP, Paris 75015, France
| | - Sylvère Durand
- Gustave Roussy Comprehensive Cancer Institute, Villejuif 94805, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris 75006, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif 94805, France
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49
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Yang J, Yan Y, Zhong W. Application of omics technology to combat the COVID-19 pandemic. MedComm (Beijing) 2021; 2:381-401. [PMID: 34766152 PMCID: PMC8554664 DOI: 10.1002/mco2.90] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 08/22/2021] [Accepted: 08/24/2021] [Indexed: 12/17/2022] Open
Abstract
As of August 27, 2021, the ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread to over 220 countries, areas, and territories. Thus far, 214,468,601 confirmed cases, including 4,470,969 deaths, have been reported to the World Health Organization. To combat the COVID-19 pandemic, multiomics-based strategies, including genomics, transcriptomics, proteomics, and metabolomics, have been used to study the diagnosis methods, pathogenesis, prognosis, and potential drug targets of COVID-19. In order to help researchers and clinicians to keep up with the knowledge of COVID-19, we summarized the most recent progresses reported in omics-based research papers. This review discusses omics-based approaches for studying COVID-19, summarizing newly emerged SARS-CoV-2 variants as well as potential diagnostic methods, risk factors, and pathological features of COVID-19. This review can help researchers and clinicians gain insight into COVID-19 features, providing direction for future drug development and guidance for clinical treatment, so that patients can receive appropriate treatment as soon as possible to reduce the risk of disease progression.
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Affiliation(s)
- Jingjing Yang
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
- School of Pharmaceutical SciencesHainan UniversityHaikouHainanChina
| | - Yunzheng Yan
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
| | - Wu Zhong
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
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50
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Marszalek-Grabska M, Walczak K, Gawel K, Wicha-Komsta K, Wnorowska S, Wnorowski A, Turski WA. Kynurenine emerges from the shadows – Current knowledge on its fate and function. Pharmacol Ther 2021; 225:107845. [DOI: 10.1016/j.pharmthera.2021.107845] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/29/2021] [Indexed: 12/12/2022]
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