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Pilger BI, Castro A, Vasconcellos FF, Moura KF, Signini ÉDF, Marqueze LFB, Fiorenza-Neto EA, Rocha MT, Pedroso GS, Cavaglieri CR, Ferreira AG, Figueiredo C, Minuzzi LG, Gatti da Silva GH, Castro GS, Lira FS, Seelaender M, Pinho RA. Obesity-dependent molecular alterations in fatal COVID-19: A retrospective postmortem study of metabolomic profile of adipose tissue. J Cell Biochem 2024; 125:e30566. [PMID: 38591648 DOI: 10.1002/jcb.30566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/22/2024] [Accepted: 03/29/2024] [Indexed: 04/10/2024]
Abstract
We investigated the effects of obesity on metabolic, inflammatory, and oxidative stress parameters in the adipose tissue of patients with fatal COVID-19. Postmortem biopsies of subcutaneous adipose tissue were obtained from 25 unvaccinated inpatients who passed from COVID-19, stratified as nonobese (N-OB; body mass index [BMI], 26.5 ± 2.3 kg m-2) or obese (OB BMI 34.2 ± 5.1 kg m-2). Univariate and multivariate analyses revealed that body composition was responsible for most of the variations detected in the metabolome, with greater dispersion observed in the OB group. Fifteen metabolites were major segregation factors. Results from the OB group showed higher levels of creatinine, myo-inositol, O-acetylcholine, and succinate, and lower levels of sarcosine. The N-OB group showed lower levels of glutathione peroxidase activity, as well as higher content of IL-6 and adiponectin. We revealed significant changes in the metabolomic profile of the adipose tissue in fatal COVID-19 cases, with high adiposity playing a key role in these observed variations. These findings highlight the potential involvement of metabolic and inflammatory pathways, possibly dependent on hypoxia, shedding light on the impact of obesity on disease pathogenesis and suggesting avenues for further research and possible therapeutic targets.
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Affiliation(s)
- Bruna I Pilger
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Alex Castro
- Laboratory of Nuclear Magnetic Resonance, Department of Chemistry, Universidade Federal de São Carlos, São Carlos, Brazil
- Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Franciane F Vasconcellos
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Karen F Moura
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Étore De Favari Signini
- Cardiovascular Physical Therapy Laboratory, Department of Physical Therapy, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Luis Felipe B Marqueze
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Edson A Fiorenza-Neto
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Mateus T Rocha
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Giulia S Pedroso
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Claudia R Cavaglieri
- Exercise Physiology Laboratory, Faculty of Physical Education, University of Campinas, Campinas, Brazil
| | - Antonio G Ferreira
- Laboratory of Nuclear Magnetic Resonance, Department of Chemistry, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Caique Figueiredo
- Exercise and Immunometabolism Research Group, Post-Graduation Program in Movement Sciences, Department of Physical Education, Universidade Estadual Paulista, Presidente Prudente, Brazil
| | - Luciele G Minuzzi
- Exercise and Immunometabolism Research Group, Post-Graduation Program in Movement Sciences, Department of Physical Education, Universidade Estadual Paulista, Presidente Prudente, Brazil
| | - Guilherme H Gatti da Silva
- Cancer Metabolism Research Group, Department of Surgery and LIM 26, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - Gabriela S Castro
- Cancer Metabolism Research Group, Department of Surgery and LIM 26, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - Fábio S Lira
- Exercise and Immunometabolism Research Group, Post-Graduation Program in Movement Sciences, Department of Physical Education, Universidade Estadual Paulista, Presidente Prudente, Brazil
| | - Marilia Seelaender
- Cancer Metabolism Research Group, Department of Surgery and LIM 26, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - Ricardo A Pinho
- Graduate Program in Health Sciences, School of Medicine and Life Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
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Urbiola-Salvador V, Lima de Souza S, Macur K, Czaplewska P, Chen Z. Plasma Proteomics Elucidated a Protein Signature in COVID-19 Patients with Comorbidities and Early-Diagnosis Biomarkers. Biomedicines 2024; 12:840. [PMID: 38672194 PMCID: PMC11048573 DOI: 10.3390/biomedicines12040840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
Despite great scientific efforts, deep understanding of coronavirus-19 disease (COVID-19) immunopathology and clinical biomarkers remains a challenge. Pre-existing comorbidities increase the mortality rate and aggravate the exacerbated immune response against the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, which can result in more severe symptoms as well as long-COVID and post-COVID complications. In this study, we applied proteomics analysis of plasma samples from 28 patients with SARS-CoV-2, with and without pre-existing comorbidities, as well as their corresponding controls to determine the systemic protein changes caused by the SARS-CoV-2 infection. As a result, the protein signature shared amongst COVID-19 patients with comorbidities was revealed to be characterized by alterations in the coagulation and complement pathways, acute-phase response proteins, tissue damage and remodeling, as well as cholesterol metabolism. These altered proteins may play a relevant role in COVID-19 pathophysiology. Moreover, several novel potential biomarkers for early diagnosis of the SARS-CoV-2 infection were detected, such as increased levels of keratin K22E, extracellular matrix protein-1 (ECM1), and acute-phase response protein α-2-antiplasmin (A2AP). Importantly, elevated A2AP may contribute to persistent clotting complications associated with the long-COVID syndrome in patients with comorbidities. This study provides new insights into COVID-19 pathogenesis and proposes novel potential biomarkers for early diagnosis that could be facilitated for clinical application by further validation studies.
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Affiliation(s)
- Víctor Urbiola-Salvador
- Intercollegiate Faculty of Biotechnology of University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, 80-307 Gdańsk, Poland;
| | - Suiane Lima de Souza
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90220 Oulu, Finland;
| | - Katarzyna Macur
- Laboratory of Mass Spectrometry-Core Facility Laboratories, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, 80-309 Gdańsk, Poland; (K.M.); (P.C.)
| | - Paulina Czaplewska
- Laboratory of Mass Spectrometry-Core Facility Laboratories, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical University of Gdańsk, University of Gdańsk, 80-309 Gdańsk, Poland; (K.M.); (P.C.)
| | - Zhi Chen
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90220 Oulu, Finland;
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3
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Buendia P, Fernandez K, Raley C, Rahnavard A, Crandall KA, Castro JG. Hospital antimicrobial stewardship: profiling the oral microbiome after exposure to COVID-19 and antibiotics. Front Microbiol 2024; 15:1346762. [PMID: 38476940 PMCID: PMC10927822 DOI: 10.3389/fmicb.2024.1346762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/22/2024] [Indexed: 03/14/2024] Open
Abstract
Introduction During the COVID-19 Delta variant surge, the CLAIRE cross-sectional study sampled saliva from 120 hospitalized patients, 116 of whom had a positive COVID-19 PCR test. Patients received antibiotics upon admission due to possible secondary bacterial infections, with patients at risk of sepsis receiving broad-spectrum antibiotics (BSA). Methods The saliva samples were analyzed with shotgun DNA metagenomics and respiratory RNA virome sequencing. Medical records for the period of hospitalization were obtained for all patients. Once hospitalization outcomes were known, patients were classified based on their COVID-19 disease severity and the antibiotics they received. Results Our study reveals that BSA regimens differentially impacted the human salivary microbiome and disease progression. 12 patients died and all of them received BSA. Significant associations were found between the composition of the COVID-19 saliva microbiome and BSA use, between SARS-CoV-2 genome coverage and severity of disease. We also found significant associations between the non-bacterial microbiome and severity of disease, with Candida albicans detected most frequently in critical patients. For patients who did not receive BSA before saliva sampling, our study suggests Staphylococcus aureus as a potential risk factor for sepsis. Discussion Our results indicate that the course of the infection may be explained by both monitoring antibiotic treatment and profiling a patient's salivary microbiome, establishing a compelling link between microbiome and the specific antibiotic type and timing of treatment. This approach can aid with emergency room triage and inpatient management but also requires a better understanding of and access to narrow-spectrum agents that target pathogenic bacteria.
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Affiliation(s)
| | | | - Castle Raley
- The George Washington University Genomics Core, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
| | - Ali Rahnavard
- Department of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
| | - Keith A. Crandall
- The George Washington University Genomics Core, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
- Department of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
| | - Jose Guillermo Castro
- Division of Infectious Diseases, Leonard M. Miller School of Medicine, University of Miami, Miami, FL, United States
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Fuller H, Zhu Y, Nicholas J, Chatelaine HA, Drzymalla EM, Sarvestani AK, Julián-Serrano S, Tahir UA, Sinnott-Armstrong N, Raffield LM, Rahnavard A, Hua X, Shutta KH, Darst BF. Metabolomic epidemiology offers insights into disease aetiology. Nat Metab 2023; 5:1656-1672. [PMID: 37872285 PMCID: PMC11164316 DOI: 10.1038/s42255-023-00903-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 09/06/2023] [Indexed: 10/25/2023]
Abstract
Metabolomic epidemiology is the high-throughput study of the relationship between metabolites and health-related traits. This emerging and rapidly growing field has improved our understanding of disease aetiology and contributed to advances in precision medicine. As the field continues to develop, metabolomic epidemiology could lead to the discovery of diagnostic biomarkers predictive of disease risk, aiding in earlier disease detection and better prognosis. In this Review, we discuss key advances facilitated by the field of metabolomic epidemiology for a range of conditions, including cardiometabolic diseases, cancer, Alzheimer's disease and COVID-19, with a focus on potential clinical utility. Core principles in metabolomic epidemiology, including study design, causal inference methods and multi-omic integration, are briefly discussed. Future directions required for clinical translation of metabolomic epidemiology findings are summarized, emphasizing public health implications. Further work is needed to establish which metabolites reproducibly improve clinical risk prediction in diverse populations and are causally related to disease progression.
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Affiliation(s)
- Harriett Fuller
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jayna Nicholas
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Haley A Chatelaine
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Emily M Drzymalla
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Afrand K Sarvestani
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | | | - Usman A Tahir
- Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ali Rahnavard
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Xinwei Hua
- Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Katherine H Shutta
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Burcu F Darst
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
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5
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Chen Y, Mendez K, Begum S, Dean E, Chatelaine H, Braisted J, Fangal VD, Cote M, Huang M, Chu SH, Stav M, Chen Q, Prince N, Kelly R, Christopher KB, Diray-Arce J, Mathé EA, Lasky-Su J. The value of prospective metabolomic susceptibility endotypes: broad applicability for infectious diseases. EBioMedicine 2023; 96:104791. [PMID: 37734204 PMCID: PMC10518609 DOI: 10.1016/j.ebiom.2023.104791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND As new infectious diseases (ID) emerge and others continue to mutate, there remains an imminent threat, especially for vulnerable individuals. Yet no generalizable framework exists to identify the at-risk group prior to infection. Metabolomics has the advantage of capturing the existing physiologic state, unobserved via current clinical measures. Furthermore, metabolomics profiling during acute disease can be influenced by confounding factors such as indications, medical treatments, and lifestyles. METHODS We employed metabolomic profiling to cluster infection-free individuals and assessed their relationship with COVID severity and influenza incidence/recurrence. FINDINGS We identified a metabolomic susceptibility endotype that was strongly associated with both severe COVID (ORICUadmission = 6.7, p-value = 1.2 × 10-08, ORmortality = 4.7, p-value = 1.6 × 10-04) and influenza (ORincidence = 2.9; p-values = 2.2 × 10-4, βrecurrence = 1.03; p-value = 5.1 × 10-3). We observed similar severity associations when recapitulating this susceptibility endotype using metabolomics from individuals during and after acute COVID infection. We demonstrate the value of using metabolomic endotyping to identify a metabolically susceptible group for two-and potentially more-IDs that are driven by increases in specific amino acids, including microbial-related metabolites such as tryptophan, bile acids, histidine, polyamine, phenylalanine, and tyrosine metabolism, as well as carbohydrates involved in glycolysis. INTERPRETATIONS These metabolites may be identified prior to infection to enable protective measures for these individuals. FUNDING The Longitudinal EMR and Omics COVID-19 Cohort (LEOCC) and metabolomic profiling were supported by the National Heart, Lung, and Blood Institute and the Intramural Research Program of the National Center for Advancing Translational Sciences, National Institutes of Health.
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Affiliation(s)
- Yulu Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin Mendez
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sofina Begum
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Emily Dean
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Haley Chatelaine
- Division of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA
| | - John Braisted
- Division of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA
| | - Vrushali D Fangal
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Margaret Cote
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mengna Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Su H Chu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Meryl Stav
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qingwen Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicole Prince
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kenneth B Christopher
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joann Diray-Arce
- Precision Vaccines Program, Division of Infectious Diseases, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ewy A Mathé
- Division of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA.
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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6
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Lin B, Cheng L, Zhang J, Yang M, Zhang Y, Liu J, Qin X. Immunology of SARS-CoV-2 infection and vaccination. Clin Chim Acta 2023; 545:117390. [PMID: 37187222 PMCID: PMC10182659 DOI: 10.1016/j.cca.2023.117390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 05/17/2023]
Abstract
Comprehensive elucidation of humoral immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and vaccination is critical for understanding coronavirus disease 2019 (COVID-19) pathogenesis in general and developing antibody-based diagnostic and therapeutic strategies specifically. Following the emergence of SARS-CoV-2, significant scientific research has been conducted worldwide using omics, sequencing and immunologic approaches. These studies have been critical to the successful development of vaccines. Here, the current understanding of SARS-CoV-2 immunogenic epitopes, humoral immunity to SARS-CoV-2 structural proteins and non-structural proteins, SARS-CoV-2-specific antibodies, and T-cell responses in convalescents and vaccinated individuals are reviewed. Additionally, we explore the integrated analysis of proteomic and metabolomic data to examine mechanisms of organ injury and identify potential biomarkers. Insight into the immunologic diagnosis of COVID-19 and improvements of laboratory methods are highlighted.
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Affiliation(s)
- Baoxu Lin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical, University, Shenyang 110004, China; Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110004, China
| | - Linlin Cheng
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Jin Zhang
- Department of Laboratory Medicine, Shengjing Hospital of China Medical, University, Shenyang 110004, China; Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110004, China
| | - Mei Yang
- Department of Laboratory Medicine, Shengjing Hospital of China Medical, University, Shenyang 110004, China; Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110004, China
| | - Yixiao Zhang
- Department of Urology Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Jianhua Liu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical, University, Shenyang 110004, China; Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110004, China
| | - Xiaosong Qin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical, University, Shenyang 110004, China; Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110004, China.
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7
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Bourgin M, Durand S, Kroemer G. Diagnostic, Prognostic and Mechanistic Biomarkers of COVID-19 Identified by Mass Spectrometric Metabolomics. Metabolites 2023; 13:metabo13030342. [PMID: 36984782 PMCID: PMC10056171 DOI: 10.3390/metabo13030342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/14/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
A number of studies have assessed the impact of SARS-CoV-2 infection and COVID-19 severity on the metabolome of exhaled air, saliva, plasma, and urine to identify diagnostic and prognostic biomarkers. In spite of the richness of the literature, there is no consensus about the utility of metabolomic analyses for the management of COVID-19, calling for a critical assessment of the literature. We identified mass spectrometric metabolomic studies on specimens from SARS-CoV2-infected patients and subjected them to a cross-study comparison. We compared the clinical design, technical aspects, and statistical analyses of published studies with the purpose to identify the most relevant biomarkers. Several among the metabolites that are under- or overrepresented in the plasma from patients with COVID-19 may directly contribute to excessive inflammatory reactions and deficient immune control of SARS-CoV2, hence unraveling important mechanistic connections between whole-body metabolism and the course of the disease. Altogether, it appears that mass spectrometric approaches have a high potential for biomarker discovery, especially if they are subjected to methodological standardization.
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Affiliation(s)
- Mélanie Bourgin
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75005 Paris, France
- Correspondence:
| | - Sylvère Durand
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75005 Paris, France
| | - Guido Kroemer
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75005 Paris, France
- Institut du Cancer Paris CARPEM, Department of Biology, Hôpital Européen Georges Pompidou, AP-HP, 75610 Paris, France
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8
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Murali R, Wanjari UR, Mukherjee AG, Gopalakrishnan AV, Kannampuzha S, Namachivayam A, Madhyastha H, Renu K, Ganesan R. Crosstalk between COVID-19 Infection and Kidney Diseases: A Review on the Metabolomic Approaches. Vaccines (Basel) 2023; 11:vaccines11020489. [PMID: 36851366 PMCID: PMC9959335 DOI: 10.3390/vaccines11020489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a respiratory disorder. Various organ injuries have been reported in response to this virus, including kidney injury and, in particular, kidney tubular injury. It has been discovered that infection with the virus does not only cause new kidney disease but also increases treatment difficulty and mortality rates in people with kidney diseases. In individuals hospitalized with COVID-19, urinary metabolites from several metabolic pathways are used to distinguish between patients with acute kidney injury (AKI) and those without. This review summarizes the pathogenesis, pathophysiology, treatment strategies, and role of metabolomics in relation to AKI in COVID-19 patients. Metabolomics is likely to play a greater role in predicting outcomes for patients with kidney disease and COVID-19 with varying levels of severity in the near future as data on metabolic profiles expand rapidly. Here, we also discuss the correlation between COVID-19 and kidney diseases and the available metabolomics approaches.
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Affiliation(s)
- Reshma Murali
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Uddesh Ramesh Wanjari
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Anirban Goutam Mukherjee
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Abilash Valsala Gopalakrishnan
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
- Correspondence: (A.V.G.); (R.G.)
| | - Sandra Kannampuzha
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Arunraj Namachivayam
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Harishkumar Madhyastha
- Department of Cardiovascular Physiology, Faculty of Medicine, University of Miyazaki, Miyazaki 889-1692, Japan
| | - Kaviyarasi Renu
- Center of Molecular Medicine and Diagnostics (COMMAND), Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, Tamil Nadu, India
| | - Raja Ganesan
- Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Republic of Korea
- Correspondence: (A.V.G.); (R.G.)
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9
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Baltoumas FA, Sofras D, Apostolakou AE, Litou ZI, Iconomidou VA. NucEnvDB: A Database of Nuclear Envelope Proteins and Their Interactions. MEMBRANES 2023; 13:62. [PMID: 36676869 PMCID: PMC9861991 DOI: 10.3390/membranes13010062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 12/27/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
The nuclear envelope (NE) is a double-membrane system surrounding the nucleus of eukaryotic cells. A large number of proteins are localized in the NE, performing a wide variety of functions, from the bidirectional exchange of molecules between the cytoplasm and the nucleus to chromatin tethering, genome organization, regulation of signaling cascades, and many others. Despite its importance, several aspects of the NE, including its protein-protein interactions, remain understudied. In this work, we present NucEnvDB, a publicly available database of NE proteins and their interactions. Each database entry contains useful annotation including a description of its position in the NE, its interactions with other proteins, and cross-references to major biological repositories. In addition, the database provides users with a number of visualization and analysis tools, including the ability to construct and visualize protein-protein interaction networks and perform functional enrichment analysis for clusters of NE proteins and their interaction partners. The capabilities of NucEnvDB and its analysis tools are showcased by two informative case studies, exploring protein-protein interactions in Hutchinson-Gilford progeria and during SARS-CoV-2 infection at the level of the nuclear envelope.
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Affiliation(s)
- Fotis A. Baltoumas
- Section of Cell Biology & Biophysics, Department of Biology, School of Sciences, National & Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 34 Fleming St., 16672 Athens, Greece
| | - Dimitrios Sofras
- Section of Cell Biology & Biophysics, Department of Biology, School of Sciences, National & Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece
- Laboratory of Molecular Cell Biology, KU Leuven, Kasteelpark Arenberg 31—Box 2438, 3001 Leuven, Belgium
| | - Avgi E. Apostolakou
- Section of Cell Biology & Biophysics, Department of Biology, School of Sciences, National & Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece
| | - Zoi I. Litou
- Section of Cell Biology & Biophysics, Department of Biology, School of Sciences, National & Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece
| | - Vassiliki A. Iconomidou
- Section of Cell Biology & Biophysics, Department of Biology, School of Sciences, National & Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece
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10
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Bustamante JM, Dawson T, Loeffler C, Marfori Z, Marchesi JR, Mullish BH, Thompson CC, Crandall KA, Rahnavard A, Allegretti JR, Cummings BP. Impact of Fecal Microbiota Transplantation on Gut Bacterial Bile Acid Metabolism in Humans. Nutrients 2022; 14:5200. [PMID: 36558359 PMCID: PMC9785599 DOI: 10.3390/nu14245200] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/29/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Fecal microbiota transplantation (FMT) is a promising therapeutic modality for the treatment and prevention of metabolic disease. We previously conducted a double-blind, randomized, placebo-controlled pilot trial of FMT in obese metabolically healthy patients in which we found that FMT enhanced gut bacterial bile acid metabolism and delayed the development of impaired glucose tolerance relative to the placebo control group. Therefore, we conducted a secondary analysis of fecal samples collected from these patients to assess the potential gut microbial species contributing to the effect of FMT to improve metabolic health and increase gut bacterial bile acid metabolism. Fecal samples collected at baseline and after 4 weeks of FMT or placebo treatment underwent shotgun metagenomic analysis. Ultra-high-performance liquid chromatography-mass spectrometry was used to profile fecal bile acids. FMT-enriched bacteria that have been implicated in gut bile acid metabolism included Desulfovibrio fairfieldensis and Clostridium hylemonae. To identify candidate bacteria involved in gut microbial bile acid metabolism, we assessed correlations between bacterial species abundance and bile acid profile, with a focus on bile acid products of gut bacterial metabolism. Bacteroides ovatus and Phocaeicola dorei were positively correlated with unconjugated bile acids. Bifidobacterium adolescentis, Collinsella aerofaciens, and Faecalibacterium prausnitzii were positively correlated with secondary bile acids. Together, these data identify several candidate bacteria that may contribute to the metabolic benefits of FMT and gut bacterial bile acid metabolism that requires further functional validation.
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Affiliation(s)
- Jessica-Miranda Bustamante
- Department of Surgery, School of Medicine, Center for Alimentary and Metabolic Science, University of California, Sacramento, CA 95817, USA
| | - Tyson Dawson
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Caitlin Loeffler
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Zara Marfori
- Department of Surgery, School of Medicine, Center for Alimentary and Metabolic Science, University of California, Sacramento, CA 95817, USA
| | - Julian R. Marchesi
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St. Mary’s Hospital Campus, Imperial College London, London W2 1NY, UK
| | - Benjamin H. Mullish
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St. Mary’s Hospital Campus, Imperial College London, London W2 1NY, UK
| | - Christopher C. Thompson
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Keith A. Crandall
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
- Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Ali Rahnavard
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
- Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Jessica R. Allegretti
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Bethany P. Cummings
- Department of Surgery, School of Medicine, Center for Alimentary and Metabolic Science, University of California, Sacramento, CA 95817, USA
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11
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Mancabelli L, Milani C, Fontana F, Lugli GA, Tarracchini C, Viappiani A, Ciociola T, Ticinesi A, Nouvenne A, Meschi T, Turroni F, Ventura M. Untangling the link between the human gut microbiota composition and the severity of the symptoms of the COVID-19 infection. Environ Microbiol 2022; 24:6453-6462. [PMID: 36086955 PMCID: PMC9538590 DOI: 10.1111/1462-2920.16201] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/05/2022] [Indexed: 01/12/2023]
Abstract
Recent pandemic infection caused by SARS-CoV-2 (COVID-19) led the scientific community to investigate the possible causes contributing to the physiopathology of this disease. In this context, analyses of the intestinal microbiota highlighted possible correlation between host-associated bacterial communities and development of the COVID-19. Nevertheless, a detailed investigation of the role of the human microbiota in the severity of the symptoms of this disease is still lacking. This study performed a comprehensive meta-analysis of 323 faecal samples from public and novel Italian data sets based on the shotgun metagenomic approach. In detail, the comparative analyses revealed possible differences in the microbial biodiversity related to the individual health status, highlighting a species richness decrease in COVID-19 patients with a severe prognosis. Moreover, healthy subjects resulted characterized by a higher abundance of protective and health-supporting bacterial species, while patients affected by COVID-19 disease displayed a significant increase of opportunistic pathogen bacteria involved in developing putrefactive dysbiosis. Furthermore, prediction of the microbiome functional capabilities suggested that individuals affected by COVID-19 subsist in an unbalanced metabolism characterized by an overrepresentation of enzymes involved in the protein metabolism at the expense of carbohydrates oriented pathways, which can impact on disease severity and in excessive systemic inflammation.
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Affiliation(s)
- Leonardo Mancabelli
- Department of Medicine and SurgeryUniversity of ParmaParmaItaly,Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly
| | - Christian Milani
- Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly,Laboratory of Probiogenomics, Department of ChemistryLife Sciences and Environmental Sustainability, University of ParmaParmaItaly
| | - Federico Fontana
- Laboratory of Probiogenomics, Department of ChemistryLife Sciences and Environmental Sustainability, University of ParmaParmaItaly
| | - Gabriele Andrea Lugli
- Laboratory of Probiogenomics, Department of ChemistryLife Sciences and Environmental Sustainability, University of ParmaParmaItaly
| | - Chiara Tarracchini
- Laboratory of Probiogenomics, Department of ChemistryLife Sciences and Environmental Sustainability, University of ParmaParmaItaly
| | | | - Tecla Ciociola
- Department of Medicine and SurgeryUniversity of ParmaParmaItaly
| | - Andrea Ticinesi
- Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly,Geriatric‐Rehabilitation DepartmentAzienda Ospedaliero‐Universitaria di ParmaParmaItaly
| | - Antonio Nouvenne
- Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly,Geriatric‐Rehabilitation DepartmentAzienda Ospedaliero‐Universitaria di ParmaParmaItaly
| | - Tiziana Meschi
- Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly,Geriatric‐Rehabilitation DepartmentAzienda Ospedaliero‐Universitaria di ParmaParmaItaly
| | - Francesca Turroni
- Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly,Laboratory of Probiogenomics, Department of ChemistryLife Sciences and Environmental Sustainability, University of ParmaParmaItaly
| | - Marco Ventura
- Interdepartmental Research Centre "Microbiome Research Hub"University of ParmaParmaItaly,Laboratory of Probiogenomics, Department of ChemistryLife Sciences and Environmental Sustainability, University of ParmaParmaItaly
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