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Yin X, Pu Y, Yuan S, Pache L, Churas C, Weston S, Riva L, Simons LM, Cisneros WJ, Clausen T, De Jesus PD, Kim HN, Fuentes D, Whitelock J, Esko J, Lord M, Mena I, García-Sastre A, Hultquist JF, Frieman MB, Ideker T, Pratt D, Martin-Sancho L, Chanda SK. Global siRNA Screen Reveals Critical Human Host Factors of SARS-CoV-2 Multicycle Replication. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.10.602835. [PMID: 39026801 PMCID: PMC11257544 DOI: 10.1101/2024.07.10.602835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Defining the subset of cellular factors governing SARS-CoV-2 replication can provide critical insights into viral pathogenesis and identify targets for host-directed antiviral therapies. While a number of genetic screens have previously reported SARS-CoV-2 host dependency factors, these approaches relied on utilizing pooled genome-scale CRISPR libraries, which are biased towards the discovery of host proteins impacting early stages of viral replication. To identify host factors involved throughout the SARS-CoV-2 infectious cycle, we conducted an arrayed genome-scale siRNA screen. Resulting data were integrated with published datasets to reveal pathways supported by orthogonal datasets, including transcriptional regulation, epigenetic modifications, and MAPK signalling. The identified proviral host factors were mapped into the SARS-CoV-2 infectious cycle, including 27 proteins that were determined to impact assembly and release. Additionally, a subset of proteins were tested across other coronaviruses revealing 17 potential pan-coronavirus targets. Further studies illuminated a role for the heparan sulfate proteoglycan perlecan in SARS-CoV-2 viral entry, and found that inhibition of the non-canonical NF-kB pathway through targeting of BIRC2 restricts SARS-CoV-2 replication both in vitro and in vivo. These studies provide critical insight into the landscape of virus-host interactions driving SARS-CoV-2 replication as well as valuable targets for host-directed antivirals.
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Affiliation(s)
- Xin Yin
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, China
| | - Yuan Pu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, USA
| | - Shuofeng Yuan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Lars Pache
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Christopher Churas
- Department of Medicine, University of California San Diego, La Jolla, USA
| | - Stuart Weston
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, USA
| | - Laura Riva
- Calibr-Skaggs at Scripps Research Institute, La Jolla, USA
| | - Lacy M. Simons
- Division of Infectious Diseases, Departments of Medicine and Microbiology-Immunology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - William J. Cisneros
- Division of Infectious Diseases, Departments of Medicine and Microbiology-Immunology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Thomas Clausen
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, USA
| | - Paul D. De Jesus
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, USA
| | - Ha Na Kim
- Molecular Surface Interaction Laboratory, Mark Wainwright Analytical Centre, UNSW Sydney, Sydney, New South Wales, Australia
| | - Daniel Fuentes
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, USA
| | - John Whitelock
- Molecular Surface Interaction Laboratory, Mark Wainwright Analytical Centre, UNSW Sydney, Sydney, New South Wales, Australia
| | - Jeffrey Esko
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, USA
| | - Megan Lord
- Molecular Surface Interaction Laboratory, Mark Wainwright Analytical Centre, UNSW Sydney, Sydney, New South Wales, Australia
| | - Ignacio Mena
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, USA; The Tisch Institute, Icahn School of Medicine at Mount Sinai, New York, USA; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, USA; The Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Judd F. Hultquist
- Division of Infectious Diseases, Departments of Medicine and Microbiology-Immunology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Matthew B. Frieman
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, USA
| | - Trey Ideker
- Department of Medicine, University of California San Diego, La Jolla, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, USA
| | - Dexter Pratt
- Department of Medicine, University of California San Diego, La Jolla, USA
| | - Laura Martin-Sancho
- Department of Infectious Disease, Imperial College London, London, United Kingdom
| | - Sumit K Chanda
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, USA
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2
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Agamah FE, Ederveen THA, Skelton M, Martin DP, Chimusa ER, ’t Hoen PAC. Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases. Front Mol Biosci 2024; 11:1393240. [PMID: 39040605 PMCID: PMC11260748 DOI: 10.3389/fmolb.2024.1393240] [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: 02/28/2024] [Accepted: 05/22/2024] [Indexed: 07/24/2024] Open
Abstract
Background COVID-19 disease is characterized by a spectrum of disease phases (mild, moderate, and severe). Each disease phase is marked by changes in omics profiles with corresponding changes in the expression of features (biosignatures). However, integrative analysis of multiple omics data from different experiments across studies to investigate biosignatures at various disease phases is limited. Exploring an integrative multi-omics profile analysis through a network approach could be used to determine biosignatures associated with specific disease phases and enable the examination of the relationships between the biosignatures. Aim To identify and characterize biosignatures underlying various COVID-19 disease phases in an integrative multi-omics data analysis. Method We leveraged a multi-omics network-based approach to integrate transcriptomics, metabolomics, proteomics, and lipidomics data. The World Health Organization Ordinal Scale WHO Ordinal Scale was used as a disease severity reference to harmonize COVID-19 patient metadata across two studies with independent data. A unified COVID-19 knowledge graph was constructed by assembling a disease-specific interactome from the literature and databases. Disease-state specific omics-graphs were constructed by integrating multi-omics data with the unified COVID-19 knowledge graph. We expanded on the network layers of multiXrank, a random walk with restart on multilayer network algorithm, to explore disease state omics-specific graphs and perform enrichment analysis. Results Network analysis revealed the biosignatures involved in inducing chemokines and inflammatory responses as hubs in the severe and moderate disease phases. We observed distinct biosignatures between severe and moderate disease phases as compared to mild-moderate and mild-severe disease phases. Mild COVID-19 cases were characterized by a unique biosignature comprising C-C Motif Chemokine Ligand 4 (CCL4), and Interferon Regulatory Factor 1 (IRF1). Hepatocyte Growth Factor (HGF), Matrix Metallopeptidase 12 (MMP12), Interleukin 10 (IL10), Nuclear Factor Kappa B Subunit 1 (NFKB1), and suberoylcarnitine form hubs in the omics network that characterizes the moderate disease state. The severe cases were marked by biosignatures such as Signal Transducer and Activator of Transcription 1 (STAT1), Superoxide Dismutase 2 (SOD2), HGF, taurine, lysophosphatidylcholine, diacylglycerol, triglycerides, and sphingomyelin that characterize the disease state. Conclusion This study identified both biosignatures of different omics types enriched in disease-related pathways and their associated interactions (such as protein-protein, protein-transcript, protein-metabolite, transcript-metabolite, and lipid-lipid interactions) that are unique to mild, moderate, and severe COVID-19 disease states. These biosignatures include molecular features that underlie the observed clinical heterogeneity of COVID-19 and emphasize the need for disease-phase-specific treatment strategies. The approach implemented here can be used to find associations between transcripts, proteins, lipids, and metabolites in other diseases.
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Affiliation(s)
- Francis E. Agamah
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Thomas H. A. Ederveen
- Department of Medical BioSciences, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
| | - Michelle Skelton
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Darren P. Martin
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Emile R. Chimusa
- Department of Applied Science, Faculty of Health and Life Sciences, Northumbria University, Newcastle, United Kingdom
| | - Peter A. C. ’t Hoen
- Department of Medical BioSciences, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
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3
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Guarnieri JW, Haltom JA, Albrecht YES, Lie T, Olali AZ, Widjaja GA, Ranshing SS, Angelin A, Murdock D, Wallace DC. SARS-CoV-2 mitochondrial metabolic and epigenomic reprogramming in COVID-19. Pharmacol Res 2024; 204:107170. [PMID: 38614374 DOI: 10.1016/j.phrs.2024.107170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 04/15/2024]
Abstract
To determine the effects of SARS-CoV-2 infection on cellular metabolism, we conducted an exhaustive survey of the cellular metabolic pathways modulated by SARS-CoV-2 infection and confirmed their importance for SARS-CoV-2 propagation by cataloging the effects of specific pathway inhibitors. This revealed that SARS-CoV-2 strongly inhibits mitochondrial oxidative phosphorylation (OXPHOS) resulting in increased mitochondrial reactive oxygen species (mROS) production. The elevated mROS stabilizes HIF-1α which redirects carbon molecules from mitochondrial oxidation through glycolysis and the pentose phosphate pathway (PPP) to provide substrates for viral biogenesis. mROS also induces the release of mitochondrial DNA (mtDNA) which activates innate immunity. The restructuring of cellular energy metabolism is mediated in part by SARS-CoV-2 Orf8 and Orf10 whose expression restructures nuclear DNA (nDNA) and mtDNA OXPHOS gene expression. These viral proteins likely alter the epigenome, either by directly altering histone modifications or by modulating mitochondrial metabolite substrates of epigenome modification enzymes, potentially silencing OXPHOS gene expression and contributing to long-COVID.
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Affiliation(s)
- Joseph W Guarnieri
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jeffrey A Haltom
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yentli E Soto Albrecht
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Timothy Lie
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Arnold Z Olali
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gabrielle A Widjaja
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Sujata S Ranshing
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Alessia Angelin
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Deborah Murdock
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, Division of Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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4
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Liu H, Tian H, Hao P, Du H, Wang K, Qiu Y, Yin X, Wu N, Du Q, Tong D, Huang Y. PoRVA G9P[23] and G5P[7] infections differentially promote PEDV replication by reprogramming glutamine metabolism. PLoS Pathog 2024; 20:e1012305. [PMID: 38905309 PMCID: PMC11221755 DOI: 10.1371/journal.ppat.1012305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 07/03/2024] [Accepted: 05/29/2024] [Indexed: 06/23/2024] Open
Abstract
PoRVA and PEDV coinfections are extremely common in clinical practice. Although coinfections of PoRVA and PEDV are known to result in increased mortality, the underlying mechanism remains unknown. Here, we found that PoRVA infection promoted PEDV infection in vivo and in vitro and that PoRVA G9P[23] (RVA-HNNY strain) enhanced PEDV replication more significantly than did PoRVA G5P[7] (RVA-SXXA strain). Metabolomic analysis revealed that RVA-HNNY more efficiently induced an increase in the intracellular glutamine content in porcine small intestinal epithelial cells than did RVA-SXXA, which more markedly promoted ATP production to facilitate PEDV replication, whereas glutamine deprivation abrogated the effect of PoRVA infection on promoting PEDV replication. Further studies showed that PoRVA infection promoted glutamine uptake by upregulating the expression of the glutamine transporter protein SLC1A5. In SLC1A5 knockout cells, PoRVA infection neither elevated intracellular glutamine nor promoted PEDV replication. During PoRVA infection, the activity and protein expression levels of glutamine catabolism-related enzymes (GLS1 and GLUD1) were also significantly increased promoting ATP production through glutamine anaplerosis into the TCA cycle. Consistent with that, siRNAs or inhibitors of GLS1 and GLUD1 significantly inhibited the promotion of PEDV replication by PoRVA. Notably, RVA-HNNY infection more markedly promoted SLC1A5, GLS1 and GLUD1 expression to more significantly increase the uptake and catabolism of glutamine than RVA-SXXA infection. Collectively, our findings illuminate a novel mechanism by which PoRVA infection promotes PEDV infection and reveal that the modulation of glutamine uptake is key for the different efficiencies of PoRVA G9P[23] and PoRVA G5P[7] in promoting PEDV replication.
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Affiliation(s)
- Haixin Liu
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People’s Republic of China, Yangling, China
- Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agriculture and Rural Affairs, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Universities of Shaanxi Province, Yangling, China
| | - Haolun Tian
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People’s Republic of China, Yangling, China
- Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agriculture and Rural Affairs, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Universities of Shaanxi Province, Yangling, China
| | - Pengcheng Hao
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Huimin Du
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Kun Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Yudong Qiu
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Xiangrui Yin
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Nana Wu
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Qian Du
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People’s Republic of China, Yangling, China
- Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agriculture and Rural Affairs, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Universities of Shaanxi Province, Yangling, China
| | - Dewen Tong
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People’s Republic of China, Yangling, China
- Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agriculture and Rural Affairs, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Universities of Shaanxi Province, Yangling, China
| | - Yong Huang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People’s Republic of China, Yangling, China
- Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agriculture and Rural Affairs, Yangling, China
- Engineering Research Center of Efficient New Vaccines for Animals, Universities of Shaanxi Province, Yangling, China
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5
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Deng W, Bao L, Song Z, Zhang L, Yu P, Xu Y, Wang J, Zhao W, Zhang X, Han Y, Li Y, Liu J, Lv Q, Liang X, Li F, Qi F, Deng R, Wang S, Xiong Y, Xiao R, Wang H, Qin C. Infection with SARS-CoV-2 can cause pancreatic impairment. Signal Transduct Target Ther 2024; 9:98. [PMID: 38609366 PMCID: PMC11014980 DOI: 10.1038/s41392-024-01796-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 02/25/2024] [Accepted: 03/06/2024] [Indexed: 04/14/2024] Open
Abstract
Evidence suggests associations between COVID-19 patients or vaccines and glycometabolic dysfunction and an even higher risk of the occurrence of diabetes. Herein, we retrospectively analyzed pancreatic lesions in autopsy tissues from 67 SARS-CoV-2 infected non-human primates (NHPs) models and 121 vaccinated and infected NHPs from 2020 to 2023 and COVID-19 patients. Multi-label immunofluorescence revealed direct infection of both exocrine and endocrine pancreatic cells by the virus in NHPs and humans. Minor and limited phenotypic and histopathological changes were observed in adult models. Systemic proteomics and metabolomics results indicated metabolic disorders, mainly enriched in insulin resistance pathways, in infected adult NHPs, along with elevated fasting C-peptide and C-peptide/glucose ratio levels. Furthermore, in elder COVID-19 NHPs, SARS-CoV-2 infection causes loss of beta (β) cells and lower expressed-insulin in situ characterized by islet amyloidosis and necrosis, activation of α-SMA and aggravated fibrosis consisting of lower collagen in serum, an increase of pancreatic inflammation and stress markers, ICAM-1 and G3BP1, along with more severe glycometabolic dysfunction. In contrast, vaccination maintained glucose homeostasis by activating insulin receptor α and insulin receptor β. Overall, the cumulative risk of diabetes post-COVID-19 is closely tied to age, suggesting more attention should be paid to blood sugar management in elderly COVID-19 patients.
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Affiliation(s)
- Wei Deng
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Linlin Bao
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Zhiqi Song
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Ling Zhang
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Pin Yu
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Yanfeng Xu
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Jue Wang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing, 100871, China
| | - Wenjie Zhao
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Xiuqin Zhang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing, 100871, China
| | - Yunlin Han
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Yanhong Li
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Jiangning Liu
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Qi Lv
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Xujian Liang
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Fengdi Li
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Feifei Qi
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Ran Deng
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Siyuan Wang
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Yibai Xiong
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China
| | - Ruiping Xiao
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, 100871, China.
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing, 100871, China.
- State Key Laboratory of Biomembrane and Membrane Biotechnology, Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China.
| | - Hongyang Wang
- Chinese Academy of Engineering, Eastern Hepatobiliary Surgery Hospital, 225 Changhai Road, Yangpu District, Shanghai, 200438, China.
- International Co-operation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, 200438, PR China.
- National Laboratory for Oncogenes and Related Genes, Cancer Institute of Shanghai Jiao Tong University, Shanghai, 200441, PR China.
| | - Chuan Qin
- NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, 100021, China.
- Changping National laboratory (CPNL), Beijing, 102206, China.
- State Key Laboratory of Respiratory Health and Multimorbidity, National Health Commission of the People's Republic of China, Beijing, PR China.
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6
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Whiley L, Lawler NG, Zeng AX, Lee A, Chin ST, Bizkarguenaga M, Bruzzone C, Embade N, Wist J, Holmes E, Millet O, Nicholson JK, Gray N. Cross-Validation of Metabolic Phenotypes in SARS-CoV-2 Infected Subpopulations Using Targeted Liquid Chromatography-Mass Spectrometry (LC-MS). J Proteome Res 2024; 23:1313-1327. [PMID: 38484742 PMCID: PMC11002931 DOI: 10.1021/acs.jproteome.3c00797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 04/06/2024]
Abstract
To ensure biological validity in metabolic phenotyping, findings must be replicated in independent sample sets. Targeted workflows have long been heralded as ideal platforms for such validation due to their robust quantitative capability. We evaluated the capability of liquid chromatography-mass spectrometry (LC-MS) assays targeting organic acids and bile acids to validate metabolic phenotypes of SARS-CoV-2 infection. Two independent sample sets were collected: (1) Australia: plasma, SARS-CoV-2 positive (n = 20), noninfected healthy controls (n = 22) and COVID-19 disease-like symptoms but negative for SARS-CoV-2 infection (n = 22). (2) Spain: serum, SARS-CoV-2 positive (n = 33) and noninfected healthy controls (n = 39). Multivariate modeling using orthogonal projections to latent structures discriminant analyses (OPLS-DA) classified healthy controls from SARS-CoV-2 positive (Australia; R2 = 0.17, ROC-AUC = 1; Spain R2 = 0.20, ROC-AUC = 1). Univariate analyses revealed 23 significantly different (p < 0.05) metabolites between healthy controls and SARS-CoV-2 positive individuals across both cohorts. Significant metabolites revealed consistent perturbations in cellular energy metabolism (pyruvic acid, and 2-oxoglutaric acid), oxidative stress (lactic acid, 2-hydroxybutyric acid), hypoxia (2-hydroxyglutaric acid, 5-aminolevulinic acid), liver activity (primary bile acids), and host-gut microbial cometabolism (hippuric acid, phenylpropionic acid, indole-3-propionic acid). These data support targeted LC-MS metabolic phenotyping workflows for biological validation in independent sample sets.
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Affiliation(s)
- Luke Whiley
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Nathan G. Lawler
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Annie Xu Zeng
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Alex Lee
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Sung-Tong Chin
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Maider Bizkarguenaga
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Chiara Bruzzone
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Nieves Embade
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Julien Wist
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
| | - Elaine Holmes
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Department
of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial
College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K.
| | - Oscar Millet
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Jeremy K. Nicholson
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Institute
of Global Health Innovation, Faculty Building South Kensington Campus, Imperial College London, London SW7 2AZ, U.K.
| | - Nicola Gray
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
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7
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Yang L, Wu Y, Jin W, Mo N, Ye G, Su Z, Tang L, Wang Y, Li Y, Du J. The potential role of ferroptosis in COVID-19-related cardiovascular injury. Biomed Pharmacother 2023; 168:115637. [PMID: 37844358 DOI: 10.1016/j.biopha.2023.115637] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/26/2023] [Accepted: 10/03/2023] [Indexed: 10/18/2023] Open
Abstract
COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged as a global health threat in 2019. An important feature of the disease is that multiorgan symptoms of SARS-CoV-2 infection persist after recovery. Evidence indicates that people who recovered from COVID-19, even those under the age of 65 years without cardiovascular risk factors such as smoking, obesity, hypertension, and diabetes, had a significantly increased risk of cardiovascular disease for up to one year after diagnosis. Therefore, it is important to closely monitor individuals who have recovered from COVID-19 for potential cardiovascular damage that may manifest at a later stage. Ferroptosis is an iron-dependent form of non-apoptotic cell death characterized by the production of reactive oxygen species (ROS) and increased lipid peroxide levels. Several studies have demonstrated that ferroptosis plays an important role in cancer, ischemia/reperfusion injury (I/RI), and other cardiovascular diseases. Altered iron metabolism, upregulation of reactive oxygen species, and glutathione peroxidase 4 inactivation are striking features of COVID-19-related cardiovascular injury. SARS-CoV-2 can cause cardiovascular ferroptosis, leading to cardiovascular damage. Understanding the mechanism of ferroptosis in COVID-19-related cardiovascular injuries will contribute to the development of treatment regimens for preventing or reducing COVID-19-related cardiovascular complications. In this article, we go over the pathophysiological underpinnings of SARS-CoV-2-induced acute and chronic cardiovascular injury, the function of ferroptosis, and prospective treatment approaches.
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Affiliation(s)
- Lei Yang
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China; Department of Central Laboratory, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yunyi Wu
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Weidong Jin
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Nan Mo
- Department of Central Laboratory, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Gaoqi Ye
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Zixin Su
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Lusheng Tang
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Ying Wang
- Department of Central Laboratory, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Yanchun Li
- Department of Central Laboratory, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Jing Du
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
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8
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Palermo A, Li S, Ten Hoeve J, Chellappa A, Morris A, Dillon B, Ma F, Wang Y, Cao E, Shabane B, Acín-Perez R, Petcherski A, Lusis AJ, Hazen S, Shirihai OS, Pellegrini M, Arumugaswami V, Graeber TG, Deb A. A ketogenic diet can mitigate SARS-CoV-2 induced systemic reprogramming and inflammation. Commun Biol 2023; 6:1115. [PMID: 37923961 PMCID: PMC10624922 DOI: 10.1038/s42003-023-05478-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/17/2023] [Indexed: 11/06/2023] Open
Abstract
The ketogenic diet (KD) has demonstrated benefits in numerous clinical studies and animal models of disease in modulating the immune response and promoting a systemic anti-inflammatory state. Here we investigate the effects of a KD on systemic toxicity in mice following SARS-CoV-2 infection. Our data indicate that under KD, SARS-CoV-2 reduces weight loss with overall improved animal survival. Muted multi-organ transcriptional reprogramming and metabolism rewiring suggest that a KD initiates and mitigates systemic changes induced by the virus. We observed reduced metalloproteases and increased inflammatory homeostatic protein transcription in the heart, with decreased serum pro-inflammatory cytokines (i.e., TNF-α, IL-15, IL-22, G-CSF, M-CSF, MCP-1), metabolic markers of inflammation (i.e., kynurenine/tryptophane ratio), and inflammatory prostaglandins, indicative of reduced systemic inflammation in animals infected under a KD. Taken together, these data suggest that a KD can alter the transcriptional and metabolic response in animals following SARS-CoV-2 infection with improved mice health, reduced inflammation, and restored amino acid, nucleotide, lipid, and energy currency metabolism.
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Affiliation(s)
- Amelia Palermo
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- UCLA Metabolomics Center, University of California, Los Angeles, CA, 90095, USA
- Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, 90095, USA
| | - Shen Li
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Genetics, David Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Johanna Ten Hoeve
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- UCLA Metabolomics Center, University of California, Los Angeles, CA, 90095, USA
- Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, 90095, USA
| | - Akshay Chellappa
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Alexandra Morris
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Barbara Dillon
- Department of Environment, Health and Safety, University of California, Los Angeles, CA, 90095, USA
| | - Feiyang Ma
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Yijie Wang
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Genetics, David Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Edward Cao
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Genetics, David Geffen School of Medicine, Los Angeles, CA, 90095, USA
| | - Byourak Shabane
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Rebeca Acín-Perez
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Anton Petcherski
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - A Jake Lusis
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Stanley Hazen
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, 44195, USA
| | - Orian S Shirihai
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Medicine, Endocrinology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
| | - Vaithilingaraja Arumugaswami
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA
| | - Thomas G Graeber
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA.
- UCLA Metabolomics Center, University of California, Los Angeles, CA, 90095, USA.
- Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, 90095, USA.
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA.
| | - Arjun Deb
- California Nanosystems Institute, University of California, Los Angeles, CA, 90095, USA.
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- UCLA Cardiovascular Research Theme, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- Department of Molecular, Cell and Developmental Biology, Division of Life Sciences, University of California, Los Angeles, CA, 90095, USA.
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, 90095, USA.
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA.
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9
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Ghini V, Vieri W, Celli T, Pecchioli V, Boccia N, Alonso-Vásquez T, Pelagatti L, Fondi M, Luchinat C, Bertini L, Vannucchi V, Landini G, Turano P. COVID-19: A complex disease with a unique metabolic signature. PLoS Pathog 2023; 19:e1011787. [PMID: 37943960 PMCID: PMC10662774 DOI: 10.1371/journal.ppat.1011787] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 11/21/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
Plasma of COVID-19 patients contains a strong metabolomic/lipoproteomic signature, revealed by the NMR analysis of a cohort of >500 patients sampled during various waves of COVID-19 infection, corresponding to the spread of different variants, and having different vaccination status. This composite signature highlights common traits of the SARS-CoV-2 infection. The most dysregulated molecules display concentration trends that scale with disease severity and might serve as prognostic markers for fatal events. Metabolomics evidence is then used as input data for a sex-specific multi-organ metabolic model. This reconstruction provides a comprehensive view of the impact of COVID-19 on the entire human metabolism. The human (male and female) metabolic network is strongly impacted by the disease to an extent dictated by its severity. A marked metabolic reprogramming at the level of many organs indicates an increase in the generic energetic demand of the organism following infection. Sex-specific modulation of immune response is also suggested.
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Affiliation(s)
- Veronica Ghini
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
| | - Walter Vieri
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Tommaso Celli
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Valentina Pecchioli
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
| | - Nunzia Boccia
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Tania Alonso-Vásquez
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Lorenzo Pelagatti
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Marco Fondi
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Claudio Luchinat
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino Florence, Italy
| | - Laura Bertini
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Vieri Vannucchi
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Giancarlo Landini
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Paola Turano
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino Florence, Italy
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10
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Basak I, Harfoot R, Palmer JE, Kumar A, Quiñones-Mateu ME, Schweitzer L, Hughes SM. Neuroproteomic Analysis after SARS-CoV-2 Infection Reveals Overrepresented Neurodegeneration Pathways and Disrupted Metabolic Pathways. Biomolecules 2023; 13:1597. [PMID: 38002279 PMCID: PMC10669333 DOI: 10.3390/biom13111597] [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: 09/20/2023] [Revised: 10/19/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023] Open
Abstract
Besides respiratory illness, SARS-CoV-2, the causative agent of COVID-19, leads to neurological symptoms. The molecular mechanisms leading to neuropathology after SARS-CoV-2 infection are sparsely explored. SARS-CoV-2 enters human cells via different receptors, including ACE-2, TMPRSS2, and TMEM106B. In this study, we used a human-induced pluripotent stem cell-derived neuronal model, which expresses ACE-2, TMPRSS2, TMEM106B, and other possible SARS-CoV-2 receptors, to evaluate its susceptibility to SARS-CoV-2 infection. The neurons were exposed to SARS-CoV-2, followed by RT-qPCR, immunocytochemistry, and proteomic analyses of the infected neurons. Our findings showed that SARS-CoV-2 infects neurons at a lower rate than other human cells; however, the virus could not replicate or produce infectious virions in this neuronal model. Despite the aborted SARS-CoV-2 replication, the infected neuronal nuclei showed irregular morphology compared to other human cells. Since cytokine storm is a significant effect of SARS-CoV-2 infection in COVID-19 patients, in addition to the direct neuronal infection, the neurons were treated with pre-conditioned media from SARS-CoV-2-infected lung cells, and the neuroproteomic changes were investigated. The limited SARS-CoV-2 infection in the neurons and the neurons treated with the pre-conditioned media showed changes in the neuroproteomic profile, particularly affecting mitochondrial proteins and apoptotic and metabolic pathways, which may lead to the development of neurological complications. The findings from our study uncover a possible mechanism behind SARS-CoV-2-mediated neuropathology that might contribute to the lingering effects of the virus on the human brain.
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Affiliation(s)
- Indranil Basak
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
| | - Rhodri Harfoot
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand (M.E.Q.-M.)
| | - Jennifer E. Palmer
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
| | - Abhishek Kumar
- Centre for Protein Research, University of Otago, Dunedin 9016, New Zealand
| | - Miguel E. Quiñones-Mateu
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand (M.E.Q.-M.)
| | - Lucia Schweitzer
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
| | - Stephanie M. Hughes
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
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11
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Figueirêdo Leite GG, Colo Brunialti MK, Peçanha-Pietrobom PM, Abrão Ferreira PR, Ota-Arakaki JS, Cunha-Neto E, Ferreira BL, Ronsein GE, Tashima AK, Salomão R. Understanding COVID-19 progression with longitudinal peripheral blood mononuclear cell proteomics: Changes in the cellular proteome over time. iScience 2023; 26:107824. [PMID: 37736053 PMCID: PMC10509719 DOI: 10.1016/j.isci.2023.107824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/16/2023] [Accepted: 08/31/2023] [Indexed: 09/23/2023] Open
Abstract
The clinical presentation of COVID-19 is highly variable, and understanding the underlying biological processes is crucial. This study utilized a proteomic analysis to investigate dysregulated processes in the peripheral blood mononuclear cells of patients with COVID-19 compared to healthy volunteers. Samples were collected at different stages of the disease, including hospital admission, after 7 days of hospitalization, and 30 days after discharge. Metabolic pathway alterations and increased abundance of neutrophil-related proteins were observed in patients. Patients progressing to critical illness had significantly low-abundance proteins in the pentose phosphate and glycolysis pathways compared with those presenting clinical recovery. Important biological processes, such as fatty acid concentration and glucose metabolism disorder, remained altered even after 30 days of hospital discharge. Temporal proteomic changes revealed distinct pathways in critically ill and non-critically ill patients. Our study emphasizes the significance of longitudinal cellular proteomic studies in identifying disease progression-related pathways and persistent protein changes post-hospitalization.
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Affiliation(s)
| | - Milena Karina Colo Brunialti
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Paula M. Peçanha-Pietrobom
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Paulo R. Abrão Ferreira
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Jaquelina Sonoe Ota-Arakaki
- Division of Respiratory Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Edecio Cunha-Neto
- Laboratory of Immunology, Heart Institute, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Bianca Lima Ferreira
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Graziella E. Ronsein
- Department of Biochemistry, Chemistry Institute, University of São Paulo, SP, Brazil
| | - Alexandre Keiji Tashima
- Department of Biochemistry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Reinaldo Salomão
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
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12
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Astarita G, Kelly RS, Lasky-Su J. Metabolomics and lipidomics strategies in modern drug discovery and development. Drug Discov Today 2023; 28:103751. [PMID: 37640150 PMCID: PMC10543515 DOI: 10.1016/j.drudis.2023.103751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/09/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023]
Abstract
Metabolomics and lipidomics have an increasingly pivotal role in drug discovery and development. In the context of drug discovery, monitoring changes in the levels or composition of metabolites and lipids relative to genetic variations yields functional insights, bolstering human genetics and (meta)genomic methodologies. This approach also sheds light on potential novel targets for therapeutic intervention. In the context of drug development, metabolite and lipid biomarkers contribute to enhanced success rates, promising a transformative impact on precision medicine. In this review, we deviate from analytical chemist-focused perspectives, offering an overview tailored to drug discovery. We provide introductory insight into state-of-the-art mass spectrometry (MS)-based metabolomics and lipidomics techniques utilized in drug discovery and development, drawing from the collective expertise of our research teams. We comprehensively outline the application of metabolomics and lipidomics in advancing drug discovery and development, spanning fundamental research, target identification, mechanisms of action, and the exploration of biomarkers.
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Affiliation(s)
- Giuseppe Astarita
- Georgetown University, Washington, DC, USA; Arkuda Therapeutics, Watertown, MA, USA.
| | - Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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13
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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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14
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Luan Y, Luan Y, He H, Jue B, Yang Y, Qin B, Ren K. Glucose metabolism disorder: a potential accomplice of SARS-CoV-2. Int J Obes (Lond) 2023; 47:893-902. [PMID: 37542197 DOI: 10.1038/s41366-023-01352-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/29/2023] [Accepted: 07/14/2023] [Indexed: 08/06/2023]
Abstract
Globally, 265,713,467 confirmed cases of SARS-CoV-2 (CoV-2), including 5,260,888 deaths, have been reported by the WHO. It is important to study the mechanism of this infectious disease. A variety of evidences show the potential association between CoV-2 and glucose metabolism. Notably, people with type 2 diabetes mellitus (T2DM) and other metabolic complications were prone to have a higher risk of developing a more severe infection course than people who were metabolically normal. The correlations between glucose metabolism and CoV-2 progression have been widely revealed. This review will discuss the association between glucose metabolism disorders and CoV-2 progression, showing the promoting effect of diabetes and other diseases related to glucose metabolism disorders on the progression of CoV-2. We will further conclude the effects of key proteins and pathways in glucose metabolism regulation on CoV-2 progression and potential interventions by targeting glucose metabolism disorders for CoV-2 treatment. Therefore, this review will provide systematic insight into the treatment of CoV-2 from the perspective of glucose metabolism.
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Affiliation(s)
- Yi Luan
- Department of Translational Medicine Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Ying Luan
- State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100000, China
| | - Hongbo He
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, China
| | - Bolin Jue
- School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, 453000, China
| | - Yang Yang
- Department of Translational Medicine Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
| | - Bo Qin
- Department of Translational Medicine Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
| | - Kaidi Ren
- Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, 450052, China.
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15
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Ahmed N, Francis ME, Ahmed N, Kelvin AA, Pezacki JP. microRNA-185 Inhibits SARS-CoV-2 Infection through the Modulation of the Host's Lipid Microenvironment. Viruses 2023; 15:1921. [PMID: 37766327 PMCID: PMC10536008 DOI: 10.3390/v15091921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/01/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
With the emergence of the novel betacoronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there has been an urgent need for the development of fast-acting antivirals, particularly in dealing with different variants of concern (VOC). SARS-CoV-2, like other RNA viruses, depends on host cell machinery to propagate and misregulate metabolic pathways to its advantage. Herein, we discovered that the immunometabolic microRNA-185 (miR-185) restricts SARS-CoV-2 propagation by affecting its entry and infectivity. The antiviral effects of miR-185 were studied in SARS-CoV-2 Spike protein pseudotyped virus, surrogate virus (HCoV-229E), as well as live SARS-CoV-2 virus in Huh7, A549, and Calu-3 cells. In each model, we consistently observed microRNA-induced reduction in lipid metabolism pathways-associated genes including SREBP2, SQLE, PPARG, AGPAT3, and SCARB1. Interestingly, we also observed changes in angiotensin-converting enzyme 2 (ACE2) levels, the entry receptor for SARS-CoV-2. Taken together, these data show that miR-185 significantly restricts host metabolic and other pathways that appear to be essential to SAR-CoV-2 replication and propagation. Overall, this study highlights an important link between non-coding RNAs, immunometabolic pathways, and viral infection. miR-185 mimics alone or in combination with other antiviral therapeutics represent possible future fast-acting antiviral strategies that are likely to be broadly antiviral against multiple variants as well as different virus types of potential pandemics.
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Affiliation(s)
- Nadine Ahmed
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Magen E. Francis
- Department of Biochemistry, Microbiology, and Immunology, University of Saskatchewan, Saskatoon, SK S7N 5A2, Canada
- Vaccine and Infectious Disease Organization-International Vaccine Centre (VIDO-InterVac), University of Saskatchewan, Saskatoon, SK S7N 5E3, Canada
| | - Noreen Ahmed
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Alyson A. Kelvin
- Department of Biochemistry, Microbiology, and Immunology, University of Saskatchewan, Saskatoon, SK S7N 5A2, Canada
- Vaccine and Infectious Disease Organization-International Vaccine Centre (VIDO-InterVac), University of Saskatchewan, Saskatoon, SK S7N 5E3, Canada
| | - John Paul Pezacki
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
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16
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Guarnieri JW, Dybas JM, Fazelinia H, Kim MS, Frere J, Zhang Y, Soto Albrecht Y, Murdock DG, Angelin A, Singh LN, Weiss SL, Best SM, Lott MT, Zhang S, Cope H, Zaksas V, Saravia-Butler A, Meydan C, Foox J, Mozsary C, Bram Y, Kidane Y, Priebe W, Emmett MR, Meller R, Demharter S, Stentoft-Hansen V, Salvatore M, Galeano D, Enguita FJ, Grabham P, Trovao NS, Singh U, Haltom J, Heise MT, Moorman NJ, Baxter VK, Madden EA, Taft-Benz SA, Anderson EJ, Sanders WA, Dickmander RJ, Baylin SB, Wurtele ES, Moraes-Vieira PM, Taylor D, Mason CE, Schisler JC, Schwartz RE, Beheshti A, Wallace DC. Core mitochondrial genes are down-regulated during SARS-CoV-2 infection of rodent and human hosts. Sci Transl Med 2023; 15:eabq1533. [PMID: 37556555 DOI: 10.1126/scitranslmed.abq1533] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/20/2023] [Indexed: 08/11/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral proteins bind to host mitochondrial proteins, likely inhibiting oxidative phosphorylation (OXPHOS) and stimulating glycolysis. We analyzed mitochondrial gene expression in nasopharyngeal and autopsy tissues from patients with coronavirus disease 2019 (COVID-19). In nasopharyngeal samples with declining viral titers, the virus blocked the transcription of a subset of nuclear DNA (nDNA)-encoded mitochondrial OXPHOS genes, induced the expression of microRNA 2392, activated HIF-1α to induce glycolysis, and activated host immune defenses including the integrated stress response. In autopsy tissues from patients with COVID-19, SARS-CoV-2 was no longer present, and mitochondrial gene transcription had recovered in the lungs. However, nDNA mitochondrial gene expression remained suppressed in autopsy tissue from the heart and, to a lesser extent, kidney, and liver, whereas mitochondrial DNA transcription was induced and host-immune defense pathways were activated. During early SARS-CoV-2 infection of hamsters with peak lung viral load, mitochondrial gene expression in the lung was minimally perturbed but was down-regulated in the cerebellum and up-regulated in the striatum even though no SARS-CoV-2 was detected in the brain. During the mid-phase SARS-CoV-2 infection of mice, mitochondrial gene expression was starting to recover in mouse lungs. These data suggest that when the viral titer first peaks, there is a systemic host response followed by viral suppression of mitochondrial gene transcription and induction of glycolysis leading to the deployment of antiviral immune defenses. Even when the virus was cleared and lung mitochondrial function had recovered, mitochondrial function in the heart, kidney, liver, and lymph nodes remained impaired, potentially leading to severe COVID-19 pathology.
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Affiliation(s)
- Joseph W Guarnieri
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Joseph M Dybas
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Hossein Fazelinia
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Man S Kim
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
- Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South Korea
| | - Justin Frere
- Icahn School of Medicine at Mount Sinai, New York, NY 10023, USA
| | - Yuanchao Zhang
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Yentli Soto Albrecht
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Deborah G Murdock
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Alessia Angelin
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Larry N Singh
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Scott L Weiss
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Sonja M Best
- COVID-19 International Research Team, Medford, MA 02155, USA
- Rocky Mountain Laboratory, National Institute of Allergy and Infectious Disease, NIH, Hamilton, MT 59840, USA
| | - Marie T Lott
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shiping Zhang
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Henry Cope
- University of Nottingham, Nottingham, UK
| | - Victoria Zaksas
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Chicago, Chicago, IL 60615, USA
- Clever Research Lab, Springfield, IL 62704, USA
| | - Amanda Saravia-Butler
- COVID-19 International Research Team, Medford, MA 02155, USA
- Logyx, LLC, Mountain View, CA 94043, USA
- NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Cem Meydan
- COVID-19 International Research Team, Medford, MA 02155, USA
- Weill Cornell Medicine, New York, NY 10065, USA
| | | | | | - Yaron Bram
- Weill Cornell Medicine, New York, NY 10065, USA
| | - Yared Kidane
- COVID-19 International Research Team, Medford, MA 02155, USA
- Texas Scottish Rite Hospital for Children, Dallas, TX 75219, USA
| | - Waldemar Priebe
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mark R Emmett
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Robert Meller
- COVID-19 International Research Team, Medford, MA 02155, USA
- Morehouse School of Medicine, Atlanta, GA 30310, USA
| | | | | | | | - Diego Galeano
- COVID-19 International Research Team, Medford, MA 02155, USA
- Facultad de Ingeniería, Universidad Nacional de Asunción, San Lorenzo, Central, Paraguay
| | - Francisco J Enguita
- COVID-19 International Research Team, Medford, MA 02155, USA
- Faculdade de Medicina, Universidade de Lisboa, Instituto de Medicina Molecular João Lobo Antunes, 1649-028 Lisboa, Portugal
| | - Peter Grabham
- College of Physicians and Surgeons, Columbia University, New York, NY 19103, USA
| | - Nidia S Trovao
- COVID-19 International Research Team, Medford, MA 02155, USA
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Urminder Singh
- COVID-19 International Research Team, Medford, MA 02155, USA
- Iowa State University, Ames, IA 50011, USA
| | - Jeffrey Haltom
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
- Iowa State University, Ames, IA 50011, USA
| | - Mark T Heise
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Victoria K Baxter
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Emily A Madden
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | | | - Wes A Sanders
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Stephen B Baylin
- COVID-19 International Research Team, Medford, MA 02155, USA
- Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Eve Syrkin Wurtele
- COVID-19 International Research Team, Medford, MA 02155, USA
- Iowa State University, Ames, IA 50011, USA
| | - Pedro M Moraes-Vieira
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Campinas, Campinas, SP, Brazil
| | - Deanne Taylor
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Christopher E Mason
- COVID-19 International Research Team, Medford, MA 02155, USA
- Weill Cornell Medicine, New York, NY 10065, USA
- New York Genome Center, New York, NY 10013, USA
| | - Jonathan C Schisler
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Robert E Schwartz
- COVID-19 International Research Team, Medford, MA 02155, USA
- Weill Cornell Medicine, New York, NY 10065, USA
| | - Afshin Beheshti
- COVID-19 International Research Team, Medford, MA 02155, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
- Division of Human Genetics, Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
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17
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Peron JPS. Direct and indirect impact of SARS-CoV-2 on the brain. Hum Genet 2023; 142:1317-1326. [PMID: 37004544 PMCID: PMC10066989 DOI: 10.1007/s00439-023-02549-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 03/22/2023] [Indexed: 04/04/2023]
Abstract
Although COVID-19 is mostly a pulmonary disease, it is now well accepted that it can cause a much broader spectrum of signs and symptoms and affect many other organs and tissue. From mild anosmia to severe ischemic stroke, the impact of SARS-CoV-2 on the central nervous system is still a great challenge to scientists and health care practitioners. Besides the acute and severe neurological problems described, as encephalopathies, leptomeningitis, and stroke, after 2 years of pandemic, the chronic impact observed during long-COVID or the post-acute sequelae of COVID-19 (PASC) greatly intrigues scientists worldwide. Strikingly, even asymptomatic, and mild diseased patients may evolve with important neurological and psychiatric symptoms, as confusion, memory loss, cognitive decline, chronic fatigue, associated or not with anxiety and depression. Thus, the knowledge on the correlation between COVID-19 and the central nervous system is of great relevance. In this sense, here we discuss some important mechanisms obtained from in vitro and in vivo investigation regarding how SARS-CoV-2 impacts the brain and its cells and function.
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Affiliation(s)
- J P S Peron
- Neuroimmune Interactions Laboratory, Department of Immunology, University of Sao Paulo, Av. Prof. Lineu Prestes, 1730 Lab 232. Cidade Universitária, São Paulo, SP, CEP 05508-000, Brazil.
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18
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Tian L, Yu T. An integrated deep learning framework for the interpretation of untargeted metabolomics data. Brief Bioinform 2023; 24:bbad244. [PMID: 37369636 DOI: 10.1093/bib/bbad244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 06/02/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Untargeted metabolomics is gaining widespread applications. The key aspects of the data analysis include modeling complex activities of the metabolic network, selecting metabolites associated with clinical outcome and finding critical metabolic pathways to reveal biological mechanisms. One of the key roadblocks in data analysis is not well-addressed, which is the problem of matching uncertainty between data features and known metabolites. Given the limitations of the experimental technology, the identities of data features cannot be directly revealed in the data. The predominant approach for mapping features to metabolites is to match the mass-to-charge ratio (m/z) of data features to those derived from theoretical values of known metabolites. The relationship between features and metabolites is not one-to-one since some metabolites share molecular composition, and various adduct ions can be derived from the same metabolite. This matching uncertainty causes unreliable metabolite selection and functional analysis results. Here we introduce an integrated deep learning framework for metabolomics data that take matching uncertainty into consideration. The model is devised with a gradual sparsification neural network based on the known metabolic network and the annotation relationship between features and metabolites. This architecture characterizes metabolomics data and reflects the modular structure of biological system. Three goals can be achieved simultaneously without requiring much complex inference and additional assumptions: (1) evaluate metabolite importance, (2) infer feature-metabolite matching likelihood and (3) select disease sub-networks. When applied to a COVID metabolomics dataset and an aging mouse brain dataset, our method found metabolic sub-networks that were easily interpretable.
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Affiliation(s)
- Leqi Tian
- School of Data Science, The Chinese University of Hong Kong - Shenzhen, Guangdong, China
- Shenzhen Research Institute of Big Data, Guangdong, China
| | - Tianwei Yu
- School of Data Science, The Chinese University of Hong Kong - Shenzhen, Guangdong, China
- Shenzhen Research Institute of Big Data, Guangdong, China
- Guangdong Provincial Key Laboratory of Big Data Computing, Guangdong, China
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19
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Lodge S, Lawler NG, Gray N, Masuda R, Nitschke P, Whiley L, Bong SH, Yeap BB, Dwivedi G, Spraul M, Schaefer H, Gil-Redondo R, Embade N, Millet O, Holmes E, Wist J, Nicholson JK. Integrative Plasma Metabolic and Lipidomic Modelling of SARS-CoV-2 Infection in Relation to Clinical Severity and Early Mortality Prediction. Int J Mol Sci 2023; 24:11614. [PMID: 37511373 PMCID: PMC10380980 DOI: 10.3390/ijms241411614] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/10/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
An integrative multi-modal metabolic phenotyping model was developed to assess the systemic plasma sequelae of SARS-CoV-2 (rRT-PCR positive) induced COVID-19 disease in patients with different respiratory severity levels. Plasma samples from 306 unvaccinated COVID-19 patients were collected in 2020 and classified into four levels of severity ranging from mild symptoms to severe ventilated cases. These samples were investigated using a combination of quantitative Nuclear Magnetic Resonance (NMR) spectroscopy and Mass Spectrometry (MS) platforms to give broad lipoprotein, lipidomic and amino acid, tryptophan-kynurenine pathway, and biogenic amine pathway coverage. All platforms revealed highly significant differences in metabolite patterns between patients and controls (n = 89) that had been collected prior to the COVID-19 pandemic. The total number of significant metabolites increased with severity with 344 out of the 1034 quantitative variables being common to all severity classes. Metabolic signatures showed a continuum of changes across the respiratory severity levels with the most significant and extensive changes being in the most severely affected patients. Even mildly affected respiratory patients showed multiple highly significant abnormal biochemical signatures reflecting serious metabolic deficiencies of the type observed in Post-acute COVID-19 syndrome patients. The most severe respiratory patients had a high mortality (56.1%) and we found that we could predict mortality in this patient sub-group with high accuracy in some cases up to 61 days prior to death, based on a separate metabolic model, which highlighted a different set of metabolites to those defining the basic disease. Specifically, hexosylceramides (HCER 16:0, HCER 20:0, HCER 24:1, HCER 26:0, HCER 26:1) were markedly elevated in the non-surviving patient group (Cliff's delta 0.91-0.95) and two phosphoethanolamines (PE.O 18:0/18:1, Cliff's delta = -0.98 and PE.P 16:0/18:1, Cliff's delta = -0.93) were markedly lower in the non-survivors. These results indicate that patient morbidity to mortality trajectories is determined relatively soon after infection, opening the opportunity to select more intensive therapeutic interventions to these "high risk" patients in the early disease stages.
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Affiliation(s)
- Samantha Lodge
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Nathan G. Lawler
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Nicola Gray
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Reika Masuda
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
| | - Philipp Nitschke
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
| | - Luke Whiley
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Sze-How Bong
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
| | - Bu B. Yeap
- Medical School, University of Western Australia, Perth, WA 6150, Australia; (B.B.Y.); (G.D.)
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Girish Dwivedi
- Medical School, University of Western Australia, Perth, WA 6150, Australia; (B.B.Y.); (G.D.)
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | | | | | - Rubén Gil-Redondo
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain; (R.G.-R.); (N.E.); (O.M.)
| | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain; (R.G.-R.); (N.E.); (O.M.)
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain; (R.G.-R.); (N.E.); (O.M.)
| | - Elaine Holmes
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, UK
| | - Julien Wist
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Chemistry Department, Universidad del Valle, Cali 76001, Colombia
| | - Jeremy K. Nicholson
- Australian National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia; (S.L.); (N.G.L.); (N.G.); (R.M.); (P.N.); (L.W.); (S.-H.B.); (E.H.)
- Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Institute of Global Health Innovation, Faculty of Medicine, Imperial College London, Faculty Building, South Kensington Campus, London SW7 2NA, UK
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20
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Chen S, Wang S. The immune mechanism of the nasal epithelium in COVID-19-related olfactory dysfunction. Front Immunol 2023; 14:1045009. [PMID: 37529051 PMCID: PMC10387544 DOI: 10.3389/fimmu.2023.1045009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 06/29/2023] [Indexed: 08/03/2023] Open
Abstract
During the first waves of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, olfactory dysfunction (OD) was reported as a frequent clinical sign. The nasal epithelium is one of the front-line protections against viral infections, and the immune responses of the nasal mucosa may be associated with OD. Two mechanisms underlying OD occurrence in COVID-19 have been proposed: the infection of sustentacular cells and the inflammatory reaction of the nasal epithelium. The former triggers OD and the latter likely prolongs OD. These two alternative mechanisms may act in parallel; the infection of sustentacular cells is more important for OD occurrence because sustentacular cells are more likely to be the entry point of SARS-CoV-2 than olfactory neurons and more susceptible to early injury. Furthermore, sustentacular cells abundantly express transmembrane protease, serine 2 (TMPRSS2) and play a major role in the olfactory epithelium. OD occurrence in COVID-19 has revealed crucial roles of sustentacular cells. This review aims to elucidate how immune responses of the nasal epithelium contribute to COVID-19-related OD. Understanding the underlying immune mechanisms of the nasal epithelium in OD may aid in the development of improved medical treatments for COVID-19-related OD.
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Affiliation(s)
| | - Shufen Wang
- *Correspondence: Shunmei Chen, ; Shufen Wang,
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21
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Svensson Akusjärvi S, Krishnan S, Ambikan AT, Mikaeloff F, Munusamy Ponnan S, Vesterbacka J, Lourda M, Nowak P, Sönnerborg A, Neogi U. Role of myeloid cells in system-level immunometabolic dysregulation during prolonged successful HIV-1 treatment. AIDS 2023; 37:1023-1033. [PMID: 36779490 PMCID: PMC10155691 DOI: 10.1097/qad.0000000000003512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/19/2023] [Accepted: 02/01/2023] [Indexed: 02/14/2023]
Abstract
OBJECTIVE Why people with HIV-1 on ART (PWH ART ) display convoluted metabolism and immune cell functions during prolonged suppressive therapy is not well evaluated. In this study, we aimed to address this question using multiomics methodologies to investigate immunological and metabolic differences between PWH ART and HIV-1 negative individuals (HC). DESIGN Cross-sectional study. METHODS Untargeted and targeted metabolomics was performed using gas and liquid chromatography/mass spectrometry, and targeted proteomics using Olink inflammation panel on plasma samples. The cellular metabolic state was further investigated using flow cytometry and intracellular metabolic measurement in single-cell populations isolated by EasySep cell isolation. Finally, flow cytometry was performed for deep-immunophenotyping of mononuclear phagocytes. RESULTS We detected increased levels of glutamate, lactate, and pyruvate by plasma metabolomics and increased inflammatory markers (e.g. CCL20 and CCL7) in PWH ART compared to HC. The metabolite transporter detection by flow cytometry in T cells and monocytes indicated an increased expression of glucose transporter 1 (Glut1) and monocarboxylate transporter 1 (MCT-1) in PWH ART . Single cell-type metabolite measurement identified decreased glucose, glutamate, and lactate in monocytic cell populations in PWH ART . Deep-immunophenotyping of myeloid cell lineages subpopulations showed no difference in cell frequency, but expression levels of CCR5 were increased on classical monocytes and some dendritic cells. CONCLUSIONS Our data thus suggest that the myeloid cell populations potentially contribute significantly to the modulated metabolic environment during suppressive HIV-1 infection.
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Affiliation(s)
- Sara Svensson Akusjärvi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Shuba Krishnan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Anoop T. Ambikan
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Flora Mikaeloff
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Sivasankaran Munusamy Ponnan
- HIV Vaccine Trials Network, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Centre, Seattle, USA
| | - Jan Vesterbacka
- Department of Medicine Huddinge (MedH), Karolinska Institutet, Stockholm
| | - Magda Lourda
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, ANA Futura, Campus Flemingsberg
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Piotr Nowak
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
- Department of Medicine Huddinge (MedH), Karolinska Institutet, Stockholm
| | - Anders Sönnerborg
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
- Department of Medicine Huddinge (MedH), Karolinska Institutet, Stockholm
| | - Ujjwal Neogi
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
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22
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Bhowal C, Ghosh S, Ghatak D, De R. Pathophysiological involvement of host mitochondria in SARS-CoV-2 infection that causes COVID-19: a comprehensive evidential insight. Mol Cell Biochem 2023; 478:1325-1343. [PMID: 36308668 PMCID: PMC9617539 DOI: 10.1007/s11010-022-04593-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/13/2022] [Indexed: 10/31/2022]
Abstract
SARS-CoV-2 is a positive-strand RNA virus that infects humans through the nasopharyngeal and oral route causing COVID-19. Scientists left no stone unturned to explore a targetable key player in COVID-19 pathogenesis against which therapeutic interventions can be initiated. This article has attempted to review, coordinate and accumulate the most recent observations in support of the hypothesis predicting the altered state of mitochondria concerning mitochondrial redox homeostasis, inflammatory regulations, morphology, bioenergetics and antiviral signalling in SARS-CoV-2 infection. Mitochondria is extremely susceptible to physiological as well as pathological stimuli, including viral infections. Recent studies suggest that SARS-CoV-2 pathogeneses alter mitochondrial integrity, in turn mitochondria modulate cellular response against the infection. SARS-CoV-2 M protein inhibited mitochondrial antiviral signalling (MAVS) protein aggregation in turn hinders innate antiviral response. Viral open reading frames (ORFs) also play an instrumental role in altering mitochondrial regulation of immune response. Notably, ORF-9b and ORF-6 impair MAVS activation. In aged persons, the NLRP3 inflammasome is over-activated due to impaired mitochondrial function, increased mitochondrial reactive oxygen species (mtROS), and/or circulating free mitochondrial DNA, resulting in a hyper-response of classically activated macrophages. This article also tries to understand how mitochondrial fission-fusion dynamics is affected by the virus. This review comprehends the overall mitochondrial attribute in pathogenesis as well as prognosis in patients infected with COVID-19 taking into account pertinent in vitro, pre-clinical and clinical data encompassing subjects with a broad range of severity and morbidity. This endeavour may help in exploring novel non-canonical therapeutic strategies to COVID-19 disease and associated complications.
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Affiliation(s)
- Chandan Bhowal
- Amity Institute of Biotechnology, Amity University, Plot No: 36, 37 & 38, Major Arterial Road, Action Area II, Kadampukur Village, Newtown, Kolkata, 700135, West Bengal, India
| | - Sayak Ghosh
- Amity Institute of Biotechnology, Amity University, Plot No: 36, 37 & 38, Major Arterial Road, Action Area II, Kadampukur Village, Newtown, Kolkata, 700135, West Bengal, India
| | - Debapriya Ghatak
- Indian Association for the Cultivation of Science, Jadavpur, 700032, Kolkata, India
| | - Rudranil De
- Amity Institute of Biotechnology, Amity University, Plot No: 36, 37 & 38, Major Arterial Road, Action Area II, Kadampukur Village, Newtown, Kolkata, 700135, West Bengal, India.
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23
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Berezhnoy G, Bissinger R, Liu A, Cannet C, Schäfer H, Kienzle K, Bitzer M, Häberle H, Göpel S, Trautwein C, Singh Y. Maintained imbalance of triglycerides, apolipoproteins, energy metabolites and cytokines in long-term COVID-19 syndrome patients. Front Immunol 2023; 14:1144224. [PMID: 37228606 PMCID: PMC10203989 DOI: 10.3389/fimmu.2023.1144224] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 04/17/2023] [Indexed: 05/27/2023] Open
Abstract
Background Deep metabolomic, proteomic and immunologic phenotyping of patients suffering from an infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have matched a wide diversity of clinical symptoms with potential biomarkers for coronavirus disease 2019 (COVID-19). Several studies have described the role of small as well as complex molecules such as metabolites, cytokines, chemokines and lipoproteins during infection and in recovered patients. In fact, after an acute SARS-CoV-2 viral infection almost 10-20% of patients experience persistent symptoms post 12 weeks of recovery defined as long-term COVID-19 syndrome (LTCS) or long post-acute COVID-19 syndrome (PACS). Emerging evidence revealed that a dysregulated immune system and persisting inflammation could be one of the key drivers of LTCS. However, how these biomolecules altogether govern pathophysiology is largely underexplored. Thus, a clear understanding of how these parameters within an integrated fashion could predict the disease course would help to stratify LTCS patients from acute COVID-19 or recovered patients. This could even allow to elucidation of a potential mechanistic role of these biomolecules during the disease course. Methods This study comprised subjects with acute COVID-19 (n=7; longitudinal), LTCS (n=33), Recov (n=12), and no history of positive testing (n=73). 1H-NMR-based metabolomics with IVDr standard operating procedures verified and phenotyped all blood samples by quantifying 38 metabolites and 112 lipoprotein properties. Univariate and multivariate statistics identified NMR-based and cytokine changes. Results Here, we report on an integrated analysis of serum/plasma by NMR spectroscopy and flow cytometry-based cytokines/chemokines quantification in LTCS patients. We identified that in LTCS patients lactate and pyruvate were significantly different from either healthy controls (HC) or acute COVID-19 patients. Subsequently, correlation analysis in LTCS group only among cytokines and amino acids revealed that histidine and glutamine were uniquely attributed mainly with pro-inflammatory cytokines. Of note, triglycerides and several lipoproteins (apolipoproteins Apo-A1 and A2) in LTCS patients demonstrate COVID-19-like alterations compared with HC. Interestingly, LTCS and acute COVID-19 samples were distinguished mostly by their phenylalanine, 3-hydroxybutyrate (3-HB) and glucose concentrations, illustrating an imbalanced energy metabolism. Most of the cytokines and chemokines were present at low levels in LTCS patients compared with HC except for IL-18 chemokine, which tended to be higher in LTCS patients. Conclusion The identification of these persisting plasma metabolites, lipoprotein and inflammation alterations will help to better stratify LTCS patients from other diseases and could help to predict ongoing severity of LTCS patients.
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Affiliation(s)
- Georgy Berezhnoy
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
| | - Rosi Bissinger
- Division of Endocrinology, Diabetology and Nephrology, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Anna Liu
- Research Institute of Women’s Health, University of Tübingen, Tübingen, Germany
| | - Claire Cannet
- Bruker BioSpin, Applied Industrial and Clinical Division, Ettlingen, Germany
| | - Hartmut Schäfer
- Bruker BioSpin, Applied Industrial and Clinical Division, Ettlingen, Germany
| | - Katharina Kienzle
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Michael Bitzer
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
- Center for Personalized Medicine, University Hospital Tübingen, Tubingen, Germany
| | - Helene Häberle
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Siri Göpel
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Christoph Trautwein
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
| | - Yogesh Singh
- Research Institute of Women’s Health, University of Tübingen, Tübingen, Germany
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Next Generation Sequencing (NGS) Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
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24
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Fu J, Zhu F, Xu CJ, Li Y. Metabolomics meets systems immunology. EMBO Rep 2023; 24:e55747. [PMID: 36916532 PMCID: PMC10074123 DOI: 10.15252/embr.202255747] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 12/24/2022] [Accepted: 02/24/2023] [Indexed: 03/16/2023] Open
Abstract
Metabolic processes play a critical role in immune regulation. Metabolomics is the systematic analysis of small molecules (metabolites) in organisms or biological samples, providing an opportunity to comprehensively study interactions between metabolism and immunity in physiology and disease. Integrating metabolomics into systems immunology allows the exploration of the interactions of multilayered features in the biological system and the molecular regulatory mechanism of these features. Here, we provide an overview on recent technological developments of metabolomic applications in immunological research. To begin, two widely used metabolomics approaches are compared: targeted and untargeted metabolomics. Then, we provide a comprehensive overview of the analysis workflow and the computational tools available, including sample preparation, raw spectra data preprocessing, data processing, statistical analysis, and interpretation. Third, we describe how to integrate metabolomics with other omics approaches in immunological studies using available tools. Finally, we discuss new developments in metabolomics and its prospects for immunology research. This review provides guidance to researchers using metabolomics and multiomics in immunity research, thus facilitating the application of systems immunology to disease research.
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Affiliation(s)
- Jianbo Fu
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.,TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.,College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
| | - Feng Zhu
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
| | - Cheng-Jian Xu
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.,TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.,Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yang Li
- Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.,TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.,Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
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25
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Berber E, Sumbria D, Kokkaya S. A metabolic blueprint of COVID-19 and long-term vaccine efficacy. Drug Metab Pers Ther 2023; 38:15-29. [PMID: 36166711 DOI: 10.1515/dmpt-2022-0148] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/24/2022] [Indexed: 06/16/2023]
Abstract
Viruses are obligatory protein-coated units and often utilize the metabolic functions of the cells they infect. Viruses hijack cellular metabolic functions and cause consequences that can range from minor to devastating, as we have all witnessed during the COVID-19 pandemic. For understanding the virus-driven pathogenesis and its implications on the host, the cellular metabolism needs to be elucidated. How SARS-CoV-2 triggers metabolic functions and rewires the metabolism remains unidentified but the implications of the metabolic patterns are under investigation by several researchers. In this review, we have described the SARS-CoV-2-mediated metabolic alterations from in vitro studies to metabolic changes reported in victims of COVID-19. We have also discussed potential therapeutic targets to diminish the viral infection and suppress the inflammatory response, with respect to evidenced studies based on COVID-19 research. Finally, we aimed to explain how we could extend vaccine-induced immunity in people by targeting the immunometabolism.
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Affiliation(s)
- Engin Berber
- College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA
| | - Deepak Sumbria
- College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Rampura Phul, Bathinda, India
| | - Serkan Kokkaya
- Faculty of Veterinary Medicine, Bozok University, Yozgat, Turkey
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26
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Dimitsaki S, Gavriilidis GI, Dimitriadis VK, Natsiavas P. Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence. Artif Intell Med 2023; 137:102490. [PMID: 36868685 PMCID: PMC9846931 DOI: 10.1016/j.artmed.2023.102490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/19/2023]
Abstract
The SARS-CoV-2 pandemic highlighted the need for software tools that could facilitate patient triage regarding potential disease severity or even death. In this article, an ensemble of Machine Learning (ML) algorithms is evaluated in terms of predicting the severity of their condition using plasma proteomics and clinical data as input. An overview of AI-based technical developments to support COVID-19 patient management is presented outlining the landscape of relevant technical developments. Based on this review, the use of an ensemble of ML algorithms that analyze clinical and biological data (i.e., plasma proteomics) of COVID-19 patients is designed and deployed to evaluate the potential use of AI for early COVID-19 patient triage. The proposed pipeline is evaluated using three publicly available datasets for training and testing. Three ML "tasks" are defined, and several algorithms are tested through a hyperparameter tuning method to identify the highest-performance models. As overfitting is one of the typical pitfalls for such approaches (mainly due to the size of the training/validation datasets), a variety of evaluation metrics are used to mitigate this risk. In the evaluation procedure, recall scores ranged from 0.6 to 0.74 and F1-score from 0.62 to 0.75. The best performance is observed via Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM) algorithms. Additionally, input data (proteomics and clinical data) were ranked based on corresponding Shapley additive explanation (SHAP) values and evaluated for their prognosticated capacity and immuno-biological credence. This "interpretable" approach revealed that our ML models could discern critical COVID-19 cases predominantly based on patient's age and plasma proteins on B cell dysfunction, hyper-activation of inflammatory pathways like Toll-like receptors, and hypo-activation of developmental and immune pathways like SCF/c-Kit signaling. Finally, the herein computational workflow is corroborated in an independent dataset and MLP superiority along with the implication of the abovementioned predictive biological pathways are corroborated. Regarding limitations of the presented ML pipeline, the datasets used in this study contain less than 1000 observations and a significant number of input features hence constituting a high-dimensional low-sample (HDLS) dataset which could be sensitive to overfitting. An advantage of the proposed pipeline is that it combines biological data (plasma proteomics) with clinical-phenotypic data. Thus, in principle, the presented approach could enable patient triage in a timely fashion if used on already trained models. However, larger datasets and further systematic validation are needed to confirm the potential clinical value of this approach. The code is available on Github: https://github.com/inab-certh/Predicting-COVID-19-severity-through-interpretable-AI-analysis-of-plasma-proteomics.
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Affiliation(s)
- Stella Dimitsaki
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece.
| | - George I Gavriilidis
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece
| | - Vlasios K Dimitriadis
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece
| | - Pantelis Natsiavas
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece
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27
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Zhang P, Liu Y, Li C, Stine LD, Wang PH, Turnbull MW, Wu H, Liu Q. Ectopic expression of SARS-CoV-2 S and ORF-9B proteins alters metabolic profiles and impairs contractile function in cardiomyocytes. Front Cell Dev Biol 2023; 11:1110271. [PMID: 36910162 PMCID: PMC9994814 DOI: 10.3389/fcell.2023.1110271] [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: 12/01/2022] [Accepted: 01/30/2023] [Indexed: 02/25/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is associated with adverse impacts in the cardiovascular system, but the mechanisms driving this response remain unclear. In this study, we conducted "pseudoviral infection" of SARS-CoV-2 subunits to evaluate their toxic effects in cardiomyocytes (CMs), that were derived from human induced pluripotent stem cells (hiPSCs). We found that the ectopic expression of S and ORF-9B subunits significantly impaired the contractile function and altered the metabolic profiles in human cardiomyocytes. Further mechanistic study has shown that the mitochondrial oxidative phosphorylation (OXPHOS), membrane potential, and ATP production were significantly decreased two days after the overexpression of S and ORF-9B subunits, while S subunits induced higher level of reactive oxygen species (ROS). Two weeks after overexpression, glycolysis was elevated in the ORF-9B group. Based on the transcriptomic analysis, both S and ORF-9B subunits dysregulated signaling pathways associated with metabolism and cardiomyopathy, including upregulated genes involved in HIF-signaling and downregulated genes involved in cholesterol biosynthetic processes. The ORF-9B subunit also enhanced glycolysis in the CMs. Our results collectively provide an insight into the molecular mechanisms underlying SARS-CoV-2 subunits-induced metabolic alterations and cardiac dysfunctions in the hearts of COVID-19 patients.
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Affiliation(s)
- Peng Zhang
- Department of Biological Sciences, Clemson University, Clemson, SC, United States
| | - Yu Liu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States
| | - Chunfeng Li
- Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA, United States
| | - Lindsay D. Stine
- Southern Illinois University School of Medicine, Springfield, IL, United States
| | - Pei-Hui Wang
- Key Laboratory for Experimental Teratology of Ministry of Education and Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Matthew W. Turnbull
- Department of Biological Sciences, Clemson University, Clemson, SC, United States
| | - Haodi Wu
- Department of Medicine, Division of Cardiology, Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Qing Liu
- Department of Biological Sciences, Clemson University, Clemson, SC, United States
- Center for Human Genetics, Clemson University, Greenwood, SC, United States
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28
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Zhang Y, Gu X, Zhou Y, Si N, Gao W, Sun B, Sun J, Li T, Wang L, Wei X, Guo S, Cui X, Bian B, Wang H, Wang L, Zhao H. An integrative analysis of Qingfei Paidu Decoction for its anti-HCoV-229E mechanism in cold and damp environment based on the pharmacokinetics, metabolomics and molecular docking technology. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 108:154527. [PMID: 36332393 PMCID: PMC9605917 DOI: 10.1016/j.phymed.2022.154527] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/08/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The novel coronavirus pneumonia (COVID-19) has spread rapidly around the world. As a member against the epidemic, Qingfei Paidu Decoction (QFPDD) has been approved for the treatment of COVID-19 in China. However, its antiviral mechanism was still largely unclear. PURPOSE An integrated strategy was used to explore the antiviral mechanisms of QFPDD in cold and damp environment, including pharmacokinetic (PK), network pharmacology, metabolomics and protein verification. METHODS Firstly, the pharmacokinetic study of the prototype absorbed ingredients were analyzed by UHPLC-QqQ-MS. Secondly, the metabolomics analysis of the endogenous constituents was carried out. Based on the aforementioned results, an integrated network was constructed to identify the curative components, crucial endogenous differential metabolites and related pathways. Finally, the validation tests were implemented by molecular docking and western blotting (WB). RESULTS According to the pharmacokinetic behaviors analysis of 31 components in vivo, the flavonoids presented more longer residence time and higher exposure compared with the other compounds. The efficacy and antiviral mechanism of QFPDD were verified by the poly-pharmacology, metabolomics, molecular docking and WB. For the occurrence of metabolic disorder, the change of amino acid transporters should not be neglected. Afterward, 8 curative compounds, 6 key genes and corresponding metabolic pathways were filtered by compound-reaction-enzyme-gene network. The molecular docking verified that the active ingredients bound to the relevant targets well. CONCLUSION In the present study, an in vivo comprehensive pharmacokinetic behaviors of QFPDD was analyzed for the first time. The results illustrated that QFPDD could exhibit immune regulation, anti-infection, anti-inflammation and metabolic disorder to perform a corresponding therapeutic effect. Moreover, our findings highlighted the roles of amino acid transporters in the coronavirus infection situation.
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Affiliation(s)
- Yan Zhang
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China.
| | - Xinru Gu
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Yanyan Zhou
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Nan Si
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Wenya Gao
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Bo Sun
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Jing Sun
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Tao Li
- China Academy of Chinese Medical Sciences, Medical Experimental Center, Beijing 100007, China
| | - Linna Wang
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Xiaolu Wei
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Shanshan Guo
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Xiaolan Cui
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Baolin Bian
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China
| | - Hongjie Wang
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China.
| | - Liang Wang
- China Resources Sanjiu Medical and Pharmaceutical Co., Ltd., Shenzhen 518110, China.
| | - Haiyu Zhao
- China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica, Beijing 100007, China.
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29
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Zhang P, Pan S, Yuan S, Shang Y, Shu H. Abnormal glucose metabolism in virus associated sepsis. Front Cell Infect Microbiol 2023; 13:1120769. [PMID: 37124033 PMCID: PMC10130199 DOI: 10.3389/fcimb.2023.1120769] [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: 12/10/2022] [Accepted: 03/23/2023] [Indexed: 05/02/2023] Open
Abstract
Sepsis is identified as a potentially lethal organ impairment triggered by an inadequate host reaction to infection (Sepsis-3). Viral sepsis is a potentially deadly organ impairment state caused by the host's inappropriate reaction to a viral infection. However, when a viral infection occurs, the metabolism of the infected cell undergoes a variety of changes that cause the host to respond to the infection. But, until now, little has been known about the challenges faced by cellular metabolic alterations that occur during viral infection and how these changes modulate infection. This study concentrates on the alterations in glucose metabolism during viral sepsis and their impact on viral infection, with a view to exploring new potential therapeutic targets for viral sepsis.
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Affiliation(s)
| | | | | | - You Shang
- *Correspondence: Huaqing Shu, ; You Shang,
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30
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Butowt R, Bilinska K, von Bartheld CS. Olfactory dysfunction in COVID-19: new insights into the underlying mechanisms. Trends Neurosci 2023; 46:75-90. [PMID: 36470705 PMCID: PMC9666374 DOI: 10.1016/j.tins.2022.11.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/06/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022]
Abstract
The mechanisms of olfactory dysfunction in COVID-19 are still unclear. In this review, we examine potential mechanisms that may explain why the sense of smell is lost or altered. Among the current hypotheses, the most plausible is that death of infected support cells in the olfactory epithelium causes, besides altered composition of the mucus, retraction of the cilia on olfactory receptor neurons, possibly because of the lack of support cell-derived glucose in the mucus, which powers olfactory signal transduction within the cilia. This mechanism is consistent with the rapid loss of smell with COVID-19, and its rapid recovery after the regeneration of support cells. Host immune responses that cause downregulation of genes involved in olfactory signal transduction occur too late to trigger anosmia, but may contribute to the duration of the olfactory dysfunction.
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Affiliation(s)
- Rafal Butowt
- Global Consortium of Chemosensory Research - Poland, Przybory Str 3/2, 85-791 Bydgoszcz, Poland
| | - Katarzyna Bilinska
- Department of Molecular Cell Genetics, L. Rydygier Collegium Medicum, Nicolaus Copernicus University, uI. Curie Sklodowskiej 9, 85-94, Bydgoszcz, Poland.
| | - Christopher S. von Bartheld
- Center of Biomedical Research Excellence in Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557-0352, USA,Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557-0352, USA,Correspondence:
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31
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Nunn AVW, Guy GW, Brysch W, Bell JD. Understanding Long COVID; Mitochondrial Health and Adaptation-Old Pathways, New Problems. Biomedicines 2022; 10:3113. [PMID: 36551869 PMCID: PMC9775339 DOI: 10.3390/biomedicines10123113] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/04/2022] Open
Abstract
Many people infected with the SARS-CoV-2 suffer long-term symptoms, such as "brain fog", fatigue and clotting problems. Explanations for "long COVID" include immune imbalance, incomplete viral clearance and potentially, mitochondrial dysfunction. As conditions with sub-optimal mitochondrial function are associated with initial severity of the disease, their prior health could be key in resistance to long COVID and recovery. The SARs virus redirects host metabolism towards replication; in response, the host can metabolically react to control the virus. Resolution is normally achieved after viral clearance as the initial stress activates a hormetic negative feedback mechanism. It is therefore possible that, in some individuals with prior sub-optimal mitochondrial function, the virus can "tip" the host into a chronic inflammatory cycle. This might explain the main symptoms, including platelet dysfunction. Long COVID could thus be described as a virally induced chronic and self-perpetuating metabolically imbalanced non-resolving state characterised by mitochondrial dysfunction, where reactive oxygen species continually drive inflammation and a shift towards glycolysis. This would suggest that a sufferer's metabolism needs to be "tipped" back using a stimulus, such as physical activity, calorie restriction, or chemical compounds that mimic these by enhancing mitochondrial function, perhaps in combination with inhibitors that quell the inflammatory response.
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Affiliation(s)
- Alistair V. W. Nunn
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London W1W 6UW, UK
| | - Geoffrey W. Guy
- The Guy Foundation, Chedington Court, Beaminster, Dorset DT8 3HY, UK
| | | | - Jimmy D. Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London W1W 6UW, UK
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32
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Lu D, Li Z, Zhu P, Yang Z, Yang H, Li Z, Li H, Li Z. Whole-transcriptome analyses of sheep embryonic testicular cells infected with the bluetongue virus. Front Immunol 2022; 13:1053059. [PMID: 36532076 PMCID: PMC9751015 DOI: 10.3389/fimmu.2022.1053059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 11/15/2022] [Indexed: 12/04/2022] Open
Abstract
Introduction bluetongue virus (BTV) infection triggers dramatic and complex changes in the host's transcriptional profile to favor its own survival and reproduction. However, there is no whole-transcriptome study of susceptible animal cells with BTV infection, which impedes the in-depth and systematical understanding of the comprehensive characterization of BTV-host interactome, as well as BTV infection and pathogenic mechanisms. Methods to systematically understand these changes, we performed whole-transcriptome sequencing in BTV serotype 1 (BTV-1)-infected and mock-infected sheep embryonic testicular cells, and subsequently conducted bioinformatics differential analyses. Results there were 1504 differentially expressed mRNAs, 78 differentially expressed microRNAs, 872 differentially expressed long non-coding RNAs, and 59 differentially expressed circular RNAs identified in total. Annotation from the Gene Ontology, enrichment from the Kyoto Encyclopedia of Genes and Genomes, and construction of competing endogenous RNA networks revealed differentially expressed RNAs primarily related to virus-sensing and signaling transduction pathways, antiviral and immune responses, inflammation, and development and metabolism related pathways. Furthermore, a protein-protein interaction network analysis found that BTV may contribute to abnormal spermatogenesis by reducing steroid biosynthesis. Finally, real-time quantitative PCR and western blotting results showed that the expression trends of differentially expressed RNAs were consistent with the whole-transcriptome sequencing data. Discussion this study provides more insights of comprehensive characterization of BTV-host interactome, and BTV infection and pathogenic mechanisms.
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Affiliation(s)
- Danfeng Lu
- School of Medicine, Kunming University, Kunming, Yunnan, China
| | - Zhuoyue Li
- School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong, China
| | - Pei Zhu
- Yunnan Tropical and Subtropical Animal Virus Diseases Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Zhenxing Yang
- Yunnan Tropical and Subtropical Animal Virus Diseases Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Heng Yang
- Yunnan Tropical and Subtropical Animal Virus Diseases Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China,College of Agriculture and Life Sciences, Kunming University, Kunming, Yunnan, China
| | - Zhanhong Li
- Yunnan Tropical and Subtropical Animal Virus Diseases Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Huachun Li
- Yunnan Tropical and Subtropical Animal Virus Diseases Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China,*Correspondence: Zhuoran Li, ; Huachun Li,
| | - Zhuoran Li
- Yunnan Tropical and Subtropical Animal Virus Diseases Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China,*Correspondence: Zhuoran Li, ; Huachun Li,
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33
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A Time-Series Metabolomic Analysis of SARS-CoV-2 Infection in a Ferret Model. Metabolites 2022; 12:metabo12111151. [DOI: 10.3390/metabo12111151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/07/2022] [Accepted: 11/11/2022] [Indexed: 11/23/2022] Open
Abstract
The global threat of COVID-19 has led to an increased use of metabolomics to study SARS-CoV-2 infections in animals and humans. In spite of these efforts, however, understanding the metabolome of SARS-CoV-2 during an infection remains difficult and incomplete. In this study, metabolic responses to a SAS-CoV-2 challenge experiment were studied in nasal washes collected from an asymptomatic ferret model (n = 20) at different time points before and after infection using an LC-MS-based metabolomics approach. A multivariate analysis of the nasal wash metabolome data revealed several statistically significant features. Despite no effects of sex or interaction between sex and time on the time course of SARS-CoV-2 infection, 16 metabolites were significantly different at all time points post-infection. Among these altered metabolites, the relative abundance of taurine was elevated post-infection, which could be an indication of hepatotoxicity, while the accumulation of sialic acids could indicate SARS-CoV-2 invasion. Enrichment analysis identified several pathways influenced by SARS-CoV-2 infection. Of these, sugar, glycan, and amino acid metabolisms were the key altered pathways in the upper respiratory channel during infection. These findings provide some new insights into the progression of SARS-CoV-2 infection in ferrets at the metabolic level, which could be useful for the development of early clinical diagnosis tools and new or repurposed drug therapies.
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de Castro MV, Silva MVR, Naslavsky MS, Scliar MO, Nunes K, Passos-Bueno MR, Castelli EC, Magawa JY, Adami FL, Moretti AIS, de Oliveira VL, Boscardin SB, Cunha-Neto E, Kalil J, Jouanguy E, Bastard P, Casanova JL, Quiñones-Vega M, Sosa-Acosta P, Guedes JDS, de Almeida NP, Nogueira FCS, Domont GB, Santos KS, Zatz M. The oldest unvaccinated Covid-19 survivors in South America. Immun Ageing 2022; 19:57. [PMID: 36384671 PMCID: PMC9666972 DOI: 10.1186/s12979-022-00310-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 10/10/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Although older adults are at a high risk of severe or critical Covid-19, there are many cases of unvaccinated centenarians who had a silent infection or recovered from mild or moderate Covid-19. We studied three Brazilian supercentenarians, older than 110 years, who survived Covid-19 in 2020 before being vaccinated. RESULTS Despite their advanced age, humoral immune response analysis showed that these individuals displayed robust levels of IgG and neutralizing antibodies (NAbs) against SARS-CoV-2. Enrichment of plasma proteins and metabolites related to innate immune response and host defense was also observed. None presented autoantibodies (auto-Abs) to type I interferon (IFN). Furthermore, these supercentenarians do not carry rare variants in genes underlying the known inborn errors of immunity, including particular inborn errors of type I IFN. CONCLUSION These observations suggest that their Covid-19 resilience might be a combination of their genetic background and their innate and adaptive immunity.
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Affiliation(s)
- Mateus V de Castro
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Monize V R Silva
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Michel S Naslavsky
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Marilia O Scliar
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Kelly Nunes
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Maria Rita Passos-Bueno
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Erick C Castelli
- Department of Pathology, School of Medicine, UNESP - São Paulo State University, Botucatu, São Paulo, Brazil
| | - Jhosiene Y Magawa
- Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia-iii-INCT, São Paulo, Brazil
- Departamento de Clínica Médica, Disciplina de Imunologia Clínica e Alergia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Flávia L Adami
- Laboratory of Antigen Targeting to Dendritic Cells, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Ana I S Moretti
- Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil
| | - Vivian L de Oliveira
- Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil
| | - Silvia B Boscardin
- Laboratory of Antigen Targeting to Dendritic Cells, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Edecio Cunha-Neto
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia-iii-INCT, São Paulo, Brazil
- Departamento de Clínica Médica, Disciplina de Imunologia Clínica e Alergia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Jorge Kalil
- Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia-iii-INCT, São Paulo, Brazil
| | - Emmanuelle Jouanguy
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris, Paris, France
| | - Paul Bastard
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris, Paris, France
| | - Jean-Laurent Casanova
- Imagine Institute, University of Paris, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
| | - Mauricio Quiñones-Vega
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics (LabProt), Institute of Chemistry, LADETEC, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Patricia Sosa-Acosta
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics (LabProt), Institute of Chemistry, LADETEC, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jéssica de S Guedes
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics (LabProt), Institute of Chemistry, LADETEC, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Natália P de Almeida
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics (LabProt), Institute of Chemistry, LADETEC, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fábio C S Nogueira
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics (LabProt), Institute of Chemistry, LADETEC, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilberto B Domont
- Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Keity S Santos
- Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia-iii-INCT, São Paulo, Brazil
- Departamento de Clínica Médica, Disciplina de Imunologia Clínica e Alergia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Mayana Zatz
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo, Brazil.
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil.
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LaSalle TJ, Gonye ALK, Freeman SS, Kaplonek P, Gushterova I, Kays KR, Manakongtreecheep K, Tantivit J, Rojas-Lopez M, Russo BC, Sharma N, Thomas MF, Lavin-Parsons KM, Lilly BM, Mckaig BN, Charland NC, Khanna HK, Lodenstein CL, Margolin JD, Blaum EM, Lirofonis PB, Revach OY, Mehta A, Sonny A, Bhattacharyya RP, Parry BA, Goldberg MB, Alter G, Filbin MR, Villani AC, Hacohen N, Sade-Feldman M. Longitudinal characterization of circulating neutrophils uncovers phenotypes associated with severity in hospitalized COVID-19 patients. Cell Rep Med 2022; 3:100779. [PMID: 36208629 PMCID: PMC9510054 DOI: 10.1016/j.xcrm.2022.100779] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 08/02/2022] [Accepted: 09/21/2022] [Indexed: 01/21/2023]
Abstract
Mechanisms of neutrophil involvement in severe coronavirus disease 2019 (COVID-19) remain incompletely understood. Here, we collect longitudinal blood samples from 306 hospitalized COVID-19+ patients and 86 controls and perform bulk RNA sequencing of enriched neutrophils, plasma proteomics, and high-throughput antibody profiling to investigate relationships between neutrophil states and disease severity. We identify dynamic switches between six distinct neutrophil subtypes. At days 3 and 7 post-hospitalization, patients with severe disease display a granulocytic myeloid-derived suppressor cell-like gene expression signature, while patients with resolving disease show a neutrophil progenitor-like signature. Humoral responses are identified as potential drivers of neutrophil effector functions, with elevated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific immunoglobulin G1 (IgG1)-to-IgA1 ratios in plasma of severe patients who survived. In vitro experiments confirm that while patient-derived IgG antibodies induce phagocytosis in healthy donor neutrophils, IgA antibodies predominantly induce neutrophil cell death. Overall, our study demonstrates a dysregulated myelopoietic response in severe COVID-19 and a potential role for IgA-dominant responses contributing to mortality.
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Affiliation(s)
- Thomas J LaSalle
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Health Sciences and Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA.
| | - Anna L K Gonye
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel S Freeman
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Irena Gushterova
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kyle R Kays
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Kasidet Manakongtreecheep
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jessica Tantivit
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Maricarmen Rojas-Lopez
- Department of Medicine, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Brian C Russo
- Department of Medicine, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Nihaarika Sharma
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Molly F Thomas
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - Brendan M Lilly
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Brenna N Mckaig
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Nicole C Charland
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Hargun K Khanna
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Carl L Lodenstein
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Justin D Margolin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Emily M Blaum
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Paola B Lirofonis
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Or-Yam Revach
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Arnav Mehta
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Abraham Sonny
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Roby P Bhattacharyya
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Blair Alden Parry
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Marcia B Goldberg
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Microbiology, Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Michael R Filbin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA
| | - Alexandra-Chloé Villani
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nir Hacohen
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Moshe Sade-Feldman
- Center for Cancer Research, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Kumar R, Kumar V, Arya R, Anand U, Priyadarshi RN. Association of COVID-19 with hepatic metabolic dysfunction. World J Virol 2022; 11:237-251. [PMID: 36188741 PMCID: PMC9523326 DOI: 10.5501/wjv.v11.i5.237] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 04/25/2022] [Accepted: 06/20/2022] [Indexed: 02/05/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic continues to be a global problem with over 438 million cases reported so far. Although it mostly affects the respiratory system, the involvement of extrapulmonary organs, including the liver, is not uncommon. Since the beginning of the pandemic, metabolic com-orbidities, such as obesity, diabetes, hypertension, and dyslipidemia, have been identified as poor prognostic indicators. Subsequent metabolic and lipidomic studies have identified several metabolic dysfunctions in patients with COVID-19. The metabolic alterations appear to be linked to the course of the disease and inflammatory reaction in the body. The liver is an important organ with high metabolic activity, and a significant proportion of COVID-19 patients have metabolic comorbidities; thus, this factor could play a key role in orchestrating systemic metabolic changes during infection. Evidence suggests that metabolic dysregulation in COVID-19 has both short- and long-term metabolic implications. Furthermore, COVID-19 has adverse associations with metabolic-associated fatty liver disease. Due to the ensuing effects on the renin-angiotensin-aldosterone system and ammonia metabolism, COVID-19 can have significant implications in patients with advanced chronic liver disease. A thorough understanding of COVID-19-associated metabolic dysfunction could lead to the identification of important plasma biomarkers and novel treatment targets. In this review, we discuss the current understanding of metabolic dysfunction in COVID-19, focusing on the liver and exploring the underlying mechanistic pathogenesis and clinical implications.
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Affiliation(s)
- Ramesh Kumar
- Department of Gastroenterology, All India Institute of Medical Sciences, Patna, Patna 801507, Bihar, India
| | - Vijay Kumar
- Department of Medicine, All India Institute of Medical Sciences, Patna, Patna 801507, Bihar, India
| | - Rahul Arya
- Department of Gastroenterology, All India Institute of Medical Sciences, Patna, Patna 801507, Bihar, India
| | - Utpal Anand
- Department of Surgical Gastroenterology, All India Institute of Medical Sciences, Patna, Patna 801507, Bihar, India
| | - Rajeev Nayan Priyadarshi
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Patna, Patna 801507, Bihar, India
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37
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Páez-Franco JC, Maravillas-Montero JL, Mejía-Domínguez NR, Torres-Ruiz J, Tamez-Torres KM, Pérez-Fragoso A, Germán-Acacio JM, Ponce-de-León A, Gómez-Martín D, Ulloa-Aguirre A. Metabolomics analysis identifies glutamic acid and cystine imbalances in COVID-19 patients without comorbid conditions. Implications on redox homeostasis and COVID-19 pathophysiology. PLoS One 2022; 17:e0274910. [PMID: 36126080 PMCID: PMC9488784 DOI: 10.1371/journal.pone.0274910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 09/06/2022] [Indexed: 11/18/2022] Open
Abstract
It is well known that the presence of comorbidities and age-related health issues may hide biochemical and metabolic features triggered by SARS-CoV-2 infection and other diseases associated to hypoxia, as they are by themselves chronic inflammatory conditions that may potentially disturb metabolic homeostasis and thereby negatively impact on COVID-19 progression. To unveil the metabolic abnormalities inherent to hypoxemia caused by COVID-19, we here applied gas chromatography coupled to mass spectrometry to analyze the main metabolic changes exhibited by a population of male patients less than 50 years of age with mild/moderate and severe COVID-19 without pre-existing comorbidities known to predispose to life-threatening complications from this infection. Several differences in serum levels of particular metabolites between normal controls and patients with COVID-19 as well as between mild/moderate and severe COVID-19 were identified. These included increased glutamic acid and reduced glutamine, cystine, threonic acid, and proline levels. In particular, using the entire metabolomic fingerprint obtained, we observed that glutamine/glutamate metabolism was associated with disease severity as patients in the severe COVID-19 group presented the lowest and higher serum levels of these amino acids, respectively. These data highlight the hypoxia-derived metabolic alterations provoked by SARS-CoV-2 infection in the absence of pre-existing co-morbidities as well as the value of amino acid metabolism in determining reactive oxygen species recycling pathways, which when impaired may lead to increased oxidation of proteins and cell damage. They also provide insights on new supportive therapies for COVID-19 and other disorders that involve altered redox homeostasis and lower oxygen levels that may lead to better outcomes of disease severity.
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Affiliation(s)
- José C. Páez-Franco
- Red de Apoyo a la Investigación (RAI), Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- * E-mail: (JCP-F); (AU-A)
| | - José L. Maravillas-Montero
- Red de Apoyo a la Investigación (RAI), Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Nancy R. Mejía-Domínguez
- Red de Apoyo a la Investigación (RAI), Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Jiram Torres-Ruiz
- Emergency Medicine Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Karla M. Tamez-Torres
- Department of Infectology and Microbiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alfredo Pérez-Fragoso
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Juan Manuel Germán-Acacio
- Red de Apoyo a la Investigación (RAI), Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alfredo Ponce-de-León
- Department of Infectology and Microbiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Diana Gómez-Martín
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alfredo Ulloa-Aguirre
- Red de Apoyo a la Investigación (RAI), Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- * E-mail: (JCP-F); (AU-A)
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Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity. Cell Syst 2022; 13:665-681.e4. [PMID: 35933992 PMCID: PMC9263811 DOI: 10.1016/j.cels.2022.06.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 04/18/2022] [Accepted: 06/27/2022] [Indexed: 01/26/2023]
Abstract
The clinical outcome and disease severity in coronavirus disease 2019 (COVID-19) are heterogeneous, and the progression or fatality of the disease cannot be explained by a single factor like age or comorbidities. In this study, we used system-wide network-based system biology analysis using whole blood RNA sequencing, immunophenotyping by flow cytometry, plasma metabolomics, and single-cell-type metabolomics of monocytes to identify the potential determinants of COVID-19 severity at personalized and group levels. Digital cell quantification and immunophenotyping of the mononuclear phagocytes indicated a substantial role in coordinating the immune cells that mediate COVID-19 severity. Stratum-specific and personalized genome-scale metabolic modeling indicated monocarboxylate transporter family genes (e.g., SLC16A6), nucleoside transporter genes (e.g., SLC29A1), and metabolites such as α-ketoglutarate, succinate, malate, and butyrate could play a crucial role in COVID-19 severity. Metabolic perturbations targeting the central metabolic pathway (TCA cycle) can be an alternate treatment strategy in severe COVID-19.
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Ghanem M, Brown SJ, EAT Mohamed A, Fuller HR. A Meta-summary and Bioinformatic Analysis Identified Interleukin 6 as a Master Regulator of COVID-19 Severity Biomarkers. Cytokine 2022; 159:156011. [PMID: 36067713 PMCID: PMC9420723 DOI: 10.1016/j.cyto.2022.156011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 07/22/2022] [Accepted: 08/16/2022] [Indexed: 12/15/2022]
Abstract
With the rising demand for improved COVID-19 disease monitoring and prognostic markers, studies have aimed to identify biomarkers using a range of screening methods. However, the selection of biomarkers for validation from large datasets may result in potentially important biomarkers being overlooked when datasets are considered in isolation. Here, we have utilized a meta-summary approach to investigate COVID-19 biomarker datasets to identify conserved biomarkers of COVID-19 severity. This approach identified a panel of 17 proteins that showed a consistent direction of change across two or more datasets. Furthermore, bioinformatics analysis of these proteins highlighted a range of enriched biological processes that include inflammatory responses and compromised integrity of physiological systems including cardiovascular, neurological, and metabolic. A panel of upstream regulators of the COVID-19 severity biomarkers were identified, including chemical compounds currently under investigation for COVID-19 treatment. One of the upstream regulators, interleukin 6 (IL6), was identified as a “master regulator” of the severity biomarkers. COVID-19 disease severity is intensified due to the extreme viral immunological reaction that results in increased inflammatory biomarkers and cytokine storm. Since IL6 is the primary stimulator of cytokines, it could be used independently as a biomarker in determining COVID-19 disease progression, in addition to a potential therapeutic approach targeting IL6. The array of upstream regulators of the severity biomarkers identified here serve as attractive candidates for the development of new therapeutic approaches to treating COVID-19. In addition, the findings from this study highlight COVID-19 severity biomarkers which represent promising, robust biomarkers for future validation studies for their use in defining and monitoring disease severity and patient prognosis.
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40
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Chen Y, Xu Y, Zhang K, Shen L, Deng M. Ferroptosis in COVID-19-related liver injury: A potential mechanism and therapeutic target. Front Cell Infect Microbiol 2022; 12:922511. [PMID: 35967872 PMCID: PMC9363633 DOI: 10.3389/fcimb.2022.922511] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/01/2022] [Indexed: 01/08/2023] Open
Abstract
The outbreak and worldwide spread of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been a threat to global public health. SARS-CoV-2 infection not only impacts the respiratory system but also causes hepatic injury. Ferroptosis, a distinct iron-dependent form of non-apoptotic cell death, has been investigated in various pathological conditions, such as cancer, ischemia/reperfusion injury, and liver diseases. However, whether ferroptosis takes part in the pathophysiological process of COVID-19-related liver injury has not been evaluated yet. This review highlights the pathological changes in COVID-19-related liver injury and presents ferroptosis as a potential mechanism in the pathological process. Ferroptosis, as a therapeutic target for COVID-19-related liver injury, is also discussed. Discoveries in these areas will improve our understanding of strategies to prevent and treat hepatic injuries caused by COVID-19.
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Affiliation(s)
- Yunqing Chen
- Department of Infectious Diseases, Affiliated Hospital of Jiaxing University, Jiaxing, China
- *Correspondence: Yunqing Chen,
| | - Yan Xu
- Department of Infectious Diseases, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Kan Zhang
- Department of Infectious Diseases, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Liang Shen
- Department of Cardiology, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Min Deng
- Department of Infectious Diseases, Affiliated Hospital of Jiaxing University, Jiaxing, China
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41
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de Oliveira LG, de Souza Angelo Y, Yamamoto P, Carregari VC, Crunfli F, Reis-de-Oliveira G, Costa L, Vendramini PH, Almeida ÉD, Dos Santos NB, Firmino EM, Paiva IM, Almeida GM, Sebollela A, Polonio CM, Zanluqui NG, de Oliveira MG, da Silva P, Gastão Davanzo G, Ayupe MC, Loureiro Salgado C, de Souza Filho AF, de Araújo MV, Silva-Pereira TT, de Almeida Campos AC, Góes LGB, Dos Passos Cunha M, Caldini EG, Lima MRDI, Fonseca DM, de Sá Guimarães AM, Minoprio PC, Munhoz CD, Mori CMC, Moraes-Vieira PM, Cunha TM, Martins-de-Souza D, Peron JPS. SARS-CoV-2 Infection Impacts Carbon Metabolism and Depends on Glutamine for Replication in Syrian Hamster Astrocytes. J Neurochem 2022; 163:113-132. [PMID: 35880385 PMCID: PMC9350388 DOI: 10.1111/jnc.15679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 01/08/2023]
Abstract
COVID‐19 causes more than million deaths worldwide. Although much is understood about the immunopathogenesis of the lung disease, a lot remains to be known on the neurological impact of COVID‐19. Here we evaluated immunometabolic changes using astrocytes in vitro and dissected brain areas of SARS‐CoV‐2 infected Syrian hamsters. We show that SARS‐CoV‐2 alters proteins of carbon metabolism, glycolysis, and synaptic transmission, many of which are altered in neurological diseases. Real‐time respirometry evidenced hyperactivation of glycolysis, further confirmed by metabolomics, with intense consumption of glucose, pyruvate, glutamine, and alpha ketoglutarate. Consistent with glutamine reduction, the blockade of glutaminolysis impaired viral replication and inflammatory response in vitro. SARS‐CoV‐2 was detected in vivo in hippocampus, cortex, and olfactory bulb of intranasally infected animals. Our data evidence an imbalance in important metabolic molecules and neurotransmitters in infected astrocytes. We suggest this may correlate with the neurological impairment observed during COVID‐19, as memory loss, confusion, and cognitive impairment.
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Affiliation(s)
- Lilian Gomes de Oliveira
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil
| | - Yan de Souza Angelo
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil
| | - Pedro Yamamoto
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil
| | - Victor Corasolla Carregari
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Fernanda Crunfli
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Guilherme Reis-de-Oliveira
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Lícia Costa
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Pedro Henrique Vendramini
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Érica Duque Almeida
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Nilton Barreto Dos Santos
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Egidi Mayara Firmino
- Center for Research in Inflammatory Diseases (CRID); Department of Pharmacology - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Isadora Marques Paiva
- Center for Research in Inflammatory Diseases (CRID); Department of Pharmacology - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Glaucia Maria Almeida
- Department of Biocehmistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Adriano Sebollela
- Department of Biocehmistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Carolina Manganeli Polonio
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil
| | - Nagela Ghabdan Zanluqui
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil
| | - Marília Garcia de Oliveira
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil
| | - Patrick da Silva
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil
| | - Gustavo Gastão Davanzo
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Marina Caçador Ayupe
- Laboratory of Mucosal Immunology, Department of Immunology - Institute of Biomedical Sciences, University of Sao Paulo, São Paulo, Brazil
| | - Caio Loureiro Salgado
- Laboratory of Mucosal Immunology, Department of Immunology - Institute of Biomedical Sciences, University of Sao Paulo, São Paulo, Brazil
| | - Antônio Francisco de Souza Filho
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil
| | - Marcelo Valdemir de Araújo
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil
| | - Taiana Tainá Silva-Pereira
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil
| | | | | | | | - Elia Garcia Caldini
- Laboratory of Cellular Biology (LIM 59), School of Medicine, University of São Paulo, São Paulo, SP, Brazil
| | | | - Denise Morais Fonseca
- Laboratory of Mucosal Immunology, Department of Immunology - Institute of Biomedical Sciences, University of Sao Paulo, São Paulo, Brazil
| | - Ana Márcia de Sá Guimarães
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil
| | | | - Carolina Demarchi Munhoz
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Cláudia Madalena Cabrera Mori
- Department of Pathology, School of Veterinary Medicine and Animal Science, University of Sao Paulo, São Paulo, SP, Brazil
| | - Pedro Manoel Moraes-Vieira
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Thiago Mattar Cunha
- Center for Research in Inflammatory Diseases (CRID); Department of Pharmacology - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil.,Experimental Medicine Research Cluster (EMRC), University of Campinas, Campinas, SP, Brazil.,D'Or Institute for Research and Education (IDOR), São Paulo, SP, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBION), Conselho Nacional de Desenvolvimento Científico e Tecnológico, São Paulo, SP, Brazil
| | - Jean Pierre Schatzmann Peron
- Neuroimmune Interactions Laboratory, Institute of Biomedical Science, Department of Immunology, University of São Paulo, São Paulo, SP, Brazil.,Neuroimmunology of Arboviruses Laboratory, Scientific Platform Pasteur, University of São Paulo, São Paulo, SP, Brazil.,Immunopathology and Allergy Post Graduate Program, School of Medicine, University of São Paulo, São Paulo, SP, Brazil
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Moraes ECDS, Martins-Gonçalves R, da Silva LR, Mandacaru SC, Melo RM, Azevedo-Quintanilha I, Perales J, Bozza FA, Souza TML, Castro-Faria-Neto HC, Hottz ED, Bozza PT, Trugilho MRO. Proteomic Profile of Procoagulant Extracellular Vesicles Reflects Complement System Activation and Platelet Hyperreactivity of Patients with Severe COVID-19. Front Cell Infect Microbiol 2022; 12:926352. [PMID: 35937696 PMCID: PMC9354812 DOI: 10.3389/fcimb.2022.926352] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/20/2022] [Indexed: 01/08/2023] Open
Abstract
Background Extracellular vesicles (EVs) are a valuable source of biomarkers and display the pathophysiological status of various diseases. In COVID-19, EVs have been explored in several studies for their ability to reflect molecular changes caused by SARS-CoV-2. Here we provide insights into the roles of EVs in pathological processes associated with the progression and severity of COVID-19. Methods In this study, we used a label-free shotgun proteomic approach to identify and quantify alterations in EV protein abundance in severe COVID-19 patients. We isolated plasma extracellular vesicles from healthy donors and patients with severe COVID-19 by size exclusion chromatography (SEC). Then, flow cytometry was performed to assess the origin of EVs and to investigate the presence of circulating procoagulant EVs in COVID-19 patients. A total protein extraction was performed, and samples were analyzed by nLC-MS/MS in a Q-Exactive HF-X. Finally, computational analysis was applied to signify biological processes related to disease pathogenesis. Results We report significant changes in the proteome of EVs from patients with severe COVID-19. Flow cytometry experiments indicated an increase in total circulating EVs and with tissue factor (TF) dependent procoagulant activity. Differentially expressed proteins in the disease groups were associated with complement and coagulation cascades, platelet degranulation, and acute inflammatory response. Conclusions The proteomic data reinforce the changes in the proteome of extracellular vesicles from patients infected with SARS-CoV-2 and suggest a role for EVs in severe COVID-19.
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Affiliation(s)
- Emilly Caroline dos Santos Moraes
- Laboratory of Toxinology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
| | - Remy Martins-Gonçalves
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
| | - Luana Rocha da Silva
- Laboratory of Toxinology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
- Center for Technological Development in Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Samuel Coelho Mandacaru
- Center for Technological Development in Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Reynaldo Magalhães Melo
- Laboratory Protein Chemistry and Biochemistry and Laboratory of Gene Biology, Department of Cell Biology, University of Brasília, Brasília, Brazil
| | | | - Jonas Perales
- Laboratory of Toxinology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
| | - Fernando A. Bozza
- National Institute of Infectious Disease Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Thiago Moreno Lopes Souza
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
- Center for Technological Development in Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | | | - Eugenio D. Hottz
- Laboratory of Immunothrombosis, Department of Biochemistry, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - Patricia T. Bozza
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
- *Correspondence: Monique R. O. Trugilho, , ; Patricia T. Bozza, ,
| | - Monique R. O. Trugilho
- Laboratory of Toxinology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil
- Center for Technological Development in Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- *Correspondence: Monique R. O. Trugilho, , ; Patricia T. Bozza, ,
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43
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Zalpoor H, Akbari A, Nabi-Afjadi M, Forghaniesfidvajani R, Tavakol C, Barzegar Z, Iravanpour F, Hosseini M, Mousavi SR, Farrokhi MR. Hypoxia-inducible factor 1 alpha (HIF-1α) stimulated and P2X7 receptor activated by COVID-19, as a potential therapeutic target and risk factor for epilepsy. Hum Cell 2022; 35:1338-1345. [PMID: 35831562 PMCID: PMC9281298 DOI: 10.1007/s13577-022-00747-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/03/2022] [Indexed: 12/25/2022]
Abstract
Based on available evidence, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a neuroinvasive virus. According to the centers for disease control and prevention (CDC), coronavirus disease 2019 (COVID-19) may cause epilepsy. In this line, COVID-19 can stimulate hypoxia-inducible factor-1 alpha (HIF-1α) and activate P2X7 receptor. Both HIF-1α and P2X7 receptors are linked to epileptogenesis and seizures. Therefore, in the current study, we suggested that COVID-19 may have a role in epileptogenesis and seizure through HIF-1α stimulation and P2X7 receptor activation. Consequently, pharmacological targeting of these factors could be a promising therapeutic approach for such patients.
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Affiliation(s)
- Hamidreza Zalpoor
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. .,Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA), Universal Scientific Education & Research Network (USERN), Tehran, Iran.
| | - Abdullatif Akbari
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA), Universal Scientific Education & Research Network (USERN), Tehran, Iran
| | - Mohsen Nabi-Afjadi
- Department of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran, Iran
| | - Razieh Forghaniesfidvajani
- Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA), Universal Scientific Education & Research Network (USERN), Tehran, Iran
| | - Chanour Tavakol
- Medical School, Tehran University of Medical Sciences, Tehran, Iran
| | - Zohreh Barzegar
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Farideh Iravanpour
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahshid Hosseini
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Reza Mousavi
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,Department of Neurosurgery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Majid Reza Farrokhi
- Department of Neurosurgery, Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. .,Department of Neurosurgery, Shiraz University of Medical Sciences, Shiraz, Iran.
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44
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Dillard LR, Wase N, Ramakrishnan G, Park JJ, Sherman NE, Carpenter R, Young M, Donlan AN, Petri W, Papin JA. Leveraging metabolic modeling to identify functional metabolic alterations associated with COVID-19 disease severity. Metabolomics 2022; 18:51. [PMID: 35819731 PMCID: PMC9273921 DOI: 10.1007/s11306-022-01904-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 06/01/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVE Since the COVID-19 pandemic began in early 2020, SARS-CoV2 has claimed more than six million lives world-wide, with over 510 million cases to date. To reduce healthcare burden, we must investigate how to prevent non-acute disease from progressing to severe infection requiring hospitalization. METHODS To achieve this goal, we investigated metabolic signatures of both non-acute (out-patient) and severe (requiring hospitalization) COVID-19 samples by profiling the associated plasma metabolomes of 84 COVID-19 positive University of Virginia hospital patients. We utilized supervised and unsupervised machine learning and metabolic modeling approaches to identify key metabolic drivers that are predictive of COVID-19 disease severity. Using metabolic pathway enrichment analysis, we explored potential metabolic mechanisms that link these markers to disease progression. RESULTS Enriched metabolites associated with tryptophan in non-acute COVID-19 samples suggest mitigated innate immune system inflammatory response and immunopathology related lung damage prevention. Increased prevalence of histidine- and ketone-related metabolism in severe COVID-19 samples offers potential mechanistic insight to musculoskeletal degeneration-induced muscular weakness and host metabolism that has been hijacked by SARS-CoV2 infection to increase viral replication and invasion. CONCLUSIONS Our findings highlight the metabolic transition from an innate immune response coupled with inflammatory pathway inhibition in non-acute infection to rampant inflammation and associated metabolic systemic dysfunction in severe COVID-19.
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Affiliation(s)
- L R Dillard
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA, 22908, USA
| | - N Wase
- School of Medicine Core Facilities, University of Virginia, Charlottesville, VA, 22908, USA
| | - G Ramakrishnan
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - J J Park
- School of Medicine Core Facilities, University of Virginia, Charlottesville, VA, 22908, USA
| | - N E Sherman
- School of Medicine Core Facilities, University of Virginia, Charlottesville, VA, 22908, USA
| | - R Carpenter
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - M Young
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - A N Donlan
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - W Petri
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA, 22908, USA
| | - J A Papin
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA, 22908, USA.
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA.
- Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
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45
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Thyroid-Stimulating Hormone Predicts Total Cholesterol and Low-Density Lipoprotein Cholesterol Reduction during the Acute Phase of COVID-19. J Clin Med 2022; 11:jcm11123347. [PMID: 35743420 PMCID: PMC9225372 DOI: 10.3390/jcm11123347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/03/2022] [Accepted: 06/08/2022] [Indexed: 02/05/2023] Open
Abstract
A complex dysregulation of lipid metabolism occurs in COVID-19, leading to reduced total cholesterol (TC), LDL-cholesterol (LDL-C), and HDL-cholesterol (HDL-C) levels, along with a derangement of thyroid function, leading to reduced thyroid-stimulating hormone (TSH) levels. This study aimed to explore the association between TSH levels during COVID-19 and the variation (Δ) of lipid profile parameters in the period preceding (from 1 month up to 1 year) hospital admission due to COVID-19. Clinical data of 324 patients (mean age 76 ± 15 years, 54% males) hospitalized due to COVID-19 between March 2020 and March 2022 were retrospectively analyzed. The association between TSH levels at hospital admission and either Δ-TC, Δ-LDL-C, or Δ-HDL-C over the selected time frame was assessed through univariable and multivariable analyses. TSH levels were below the lower reference limit of 0.340 μUI/mL in 14% of COVID-19 patients. A significant reduction of plasma TC, LDL-C, and HDL-C was recorded between the two time points (p < 0.001 for all the comparisons). TSH was directly associated with Δ-TC (rho = 0.193, p = 0.001), Δ-LDL-C (rho = 0.201, p = 0.001), and Δ-HDL-C (rho = 0.160, p = 0.008), and inversely associated with C-reactive protein (CRP) (rho = −0.175, p = 0.004). Moreover, TSH decreased with increasing COVID-19 severity (p < 0.001). CRP and COVID-19 severity were inversely associated with Δ-TC, Δ-LDL-C, and Δ-HDL-C (p < 0.05 for all associations). A significant independent association was found between TSH and either Δ-TC (β = 0.125, p = 0.044) or Δ-LDL-C (β = 0.131, p = 0.036) after adjusting for multiple confounders including CRP and COVID-19 severity. In conclusion, lower levels of TSH may contribute to explain TC and LDL-C reduction in the acute phase of COVID-19.
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Alomar FA, Alshakhs MN, Abohelaika S, Almarzouk HM, Almualim M, Al-Ali AK, Al-Muhanna F, Alomar MF, Alhaddad MJ, Almulaify MS, Alessa FS, Alsalman AS, Alaswad A, Bidasee SR, Alsaad HA, Alali RA, AlSheikh MH, Akhtar MS, Al Mohaini M, Alsalman AJ, Alturaifi H, Bidasee KR. Elevated plasma level of the glycolysis byproduct methylglyoxal on admission is an independent biomarker of mortality in ICU COVID-19 patients. Sci Rep 2022; 12:9510. [PMID: 35680931 PMCID: PMC9178541 DOI: 10.1038/s41598-022-12751-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 05/03/2022] [Indexed: 01/17/2023] Open
Abstract
Biomarkers to identify ICU COVID-19 patients at high risk for mortality are urgently needed for therapeutic care and management. Here we found plasma levels of the glycolysis byproduct methylglyoxal (MG) were 4.4-fold higher in ICU patients upon admission that later died (n = 33), and 1.7-fold higher in ICU patients that survived (n = 32),compared to uninfected controls (n = 30). The increased MG in patients that died correlated inversely with the levels of the MG-degrading enzyme glyoxalase-1 (r2 = - 0.50), and its co-factor glutathione (r2 = - 0.63), and positively with monocytes (r2 = 0.29). The inflammation markers, SSAO (r2 = 0.52), TNF-α (r2 = 0.41), IL-1β (r2 = 0.25), CRP (r2 = 0.26) also correlated positively with MG. Logistic regression analysis provides evidence of a significant relationship between the elevated MG upon admission into ICU and death (P < 0.0001), with 42% of the death variability explained. From these data we conclude that elevated plasma MG on admission is a novel independent biomarker that predicts mortality in ICU COVID-19 patients.
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Affiliation(s)
- Fadhel A Alomar
- Department of Pharmacology and Toxicology, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam, 31441, Saudi Arabia.
| | - Marai N Alshakhs
- Department of Internal Medicine, Dammam Medical Complex, Dammam, Saudi Arabia
| | - Salah Abohelaika
- Clinical Pharmacology Department, Qatif Central Hospital, Ministry of Health, Qatif, Saudi Arabia
| | - Hassan M Almarzouk
- Department of Internal Medicine, Dammam Medical Complex, Dammam, Saudi Arabia
| | - Mohammed Almualim
- Intenstive Care Unit, Qatif Central Hospital, Ministry of Health, Qatif, Saudi Arabia
| | - Amein K Al-Ali
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Fahad Al-Muhanna
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mohammed F Alomar
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mousa J Alhaddad
- Department of Internal Medicine, Dammam Medical Complex, Dammam, Saudi Arabia
| | | | - Faisal S Alessa
- Department of Internal Medicine, Dammam Medical Complex, Dammam, Saudi Arabia
| | - Ahmed S Alsalman
- Department of Internal Medicine, Dammam Medical Complex, Dammam, Saudi Arabia
| | - Ahmed Alaswad
- Clinical Pharmacology Department, Qatif Central Hospital, Ministry of Health, Qatif, Saudi Arabia
| | - Sean R Bidasee
- Departments of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Hassan A Alsaad
- Department of Pharmacology and Toxicology, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam, 31441, Saudi Arabia
| | - Rudaynah A Alali
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mona H AlSheikh
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mohammed S Akhtar
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mohammed Al Mohaini
- Basic Sciences Department, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Al Ahsa, 31982, Saudi Arabia
| | - Abdulkhaliq J Alsalman
- Department of Clinical Pharmacy, Faculty of Pharmacy, Northern Border University, Rafha, Saudi Arabia
| | | | - Keshore R Bidasee
- Departments of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA.
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Venkatesh G, Sixto-López Y, Vennila P, Mary YS, Correa-Basurto J, Mary YS, Manikandan A. An investigation on the molecular structure, interaction with metal clusters, anti-Covid-19 ability of 2-deoxy-D-glucose: DFT calculations, MD and docking simulations. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.132678] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Barupal DK, Mahajan P, Fakouri-Baygi S, Wright RO, Arora M, Teitelbaum SL. CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets. ENVIRONMENT INTERNATIONAL 2022; 164:107240. [PMID: 35461097 PMCID: PMC9195052 DOI: 10.1016/j.envint.2022.107240] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/01/2022] [Accepted: 04/08/2022] [Indexed: 05/18/2023]
Abstract
Inter-chemical correlations in metabolomics and exposomics datasets provide valuable information for studying relationships among chemicals reported for human specimens. With an increase in the number of compounds for these datasets, a network graph analysis and visualization of the correlation structure is difficult to interpret. We have developed the Chemical Correlation Database (CCDB), as a systematic catalogue of inter-chemical correlation in publicly available metabolomics and exposomics studies. The database has been provided via an online interface to create single compound-centric views. We have demonstrated various applications of the database to explore: 1) the chemicals from a chemical class such as Per- and Polyfluoroalkyl Substances (PFAS), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), phthalates and tobacco smoke related metabolites; 2) xenobiotic metabolites such as caffeine and acetaminophen; 3) endogenous metabolites (acyl-carnitines); and 4) unannotated peaks for PFAS. The database has a rich collection of 35 human studies, including the National Health and Nutrition Examination Survey (NHANES) and high-quality untargeted metabolomics datasets. CCDB is supported by a simple, interactive and user-friendly web-interface to retrieve and visualize the inter-chemical correlation data. The CCDB has the potential to be a key computational resource in metabolomics and exposomics facilitating the expansion of our understanding about biological and chemical relationships among metabolites and chemical exposures in the human body. The database is available at www.ccdb.idsl.me site.
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Affiliation(s)
- Dinesh Kumar Barupal
- Department of Environmental Medicine and Public Health, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, 17 E 102nd St, CAM Building, New York 10029, USA.
| | - Priyanka Mahajan
- Department of Environmental Medicine and Public Health, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, 17 E 102nd St, CAM Building, New York 10029, USA
| | - Sadjad Fakouri-Baygi
- Department of Environmental Medicine and Public Health, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, 17 E 102nd St, CAM Building, New York 10029, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, 17 E 102nd St, CAM Building, New York 10029, USA
| | - Manish Arora
- Department of Environmental Medicine and Public Health, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, 17 E 102nd St, CAM Building, New York 10029, USA
| | - Susan L Teitelbaum
- Department of Environmental Medicine and Public Health, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, 17 E 102nd St, CAM Building, New York 10029, USA
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Papava I, Dehelean L, Romosan RS, Bondrescu M, Dimeny CZ, Domuta EM, Bratosin F, Bogdan I, Grigoras ML, Tigmeanu CV, Gherman A, Marincu I. The Impact of Hyper-Acute Inflammatory Response on Stress Adaptation and Psychological Symptoms of COVID-19 Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116501. [PMID: 35682084 PMCID: PMC9180708 DOI: 10.3390/ijerph19116501] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/20/2022] [Accepted: 05/25/2022] [Indexed: 12/17/2022]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection induces a significant inflammatory response that are amplified by persistent stress. The pathophysiology of mental illnesses is explored in terms of inflammatory processes. Thus, anxious, depressed, or psychotic episodes may occur as a result of metabolic and immunological imbalances, as a direct result of their effect on the central nervous system, or as a side effect of the COVID-19 medication protocols. As such, the primary objective of this research is to establish if the psychological profiles of COVID-19 patients change substantially according to illness severity. The secondary objective is to determine if particular biological inflammatory indicators are associated with anxiety, sadness, psychoticism, and paranoid ideation. A cross-sectional study was performed on 90 hospitalized patients admitted during a 3-month period in the COVID-19 unit. All patients received the COPE-60 and SCL-90R questionnaires. Clinical and paraclinical data were collected and the information was classified according to the severity of COVID-19.The hyper-acute inflammation encountered in patients with severe COVID-19 infection characterized 80.0% of patients using disengagement coping methods, significantly more than patients with mild or moderate SARS-CoV-2 infection severity (p-value = 0.012), respectively, 73.3% severe COVID-19 patients engaging in emotion-focused coping strategies based on the COPE-60 scale (p-value = 0.037). Additionally, it was determined that negative coping mechanisms (disengagement) and emotion-focused methods are independent risk factors for developing psychoticism symptoms following acute SARS-CoV-2 infection, based on the SCL-90 questionnaire (OR = 2.07; CI = 1.44–3.01), respectively (OR = 2.92; CI = 1.44–3.01). Elevated white blood cells and monocytes and inflammatory markers, such as fibrinogen, procalcitonin, IL-6, and D-dimers, were also identified as risk factors for psychoticism symptoms in multivariate analysis. It is particularly important to consider the constant mental-state evaluation in patients with severe COVID-19 that might benefit from early intervention before psychotic symptoms onset.
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Affiliation(s)
- Ion Papava
- Department of Neurosciences-Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.P.); (L.D.); (R.S.R.); (M.B.)
- Center for Cognitive Research in Neuropsychiatric Pathology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
- Department of Psychiatry, Timis County Emergency Clinical Hospital “Pius Brinzeu”, Liviu Rebreanu 156, 300723 Timisoara, Romania;
| | - Liana Dehelean
- Department of Neurosciences-Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.P.); (L.D.); (R.S.R.); (M.B.)
- Center for Cognitive Research in Neuropsychiatric Pathology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
- Department of Psychiatry, Timis County Emergency Clinical Hospital “Pius Brinzeu”, Liviu Rebreanu 156, 300723 Timisoara, Romania;
| | - Radu Stefan Romosan
- Department of Neurosciences-Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.P.); (L.D.); (R.S.R.); (M.B.)
- Center for Cognitive Research in Neuropsychiatric Pathology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
- Department of Psychiatry, Timis County Emergency Clinical Hospital “Pius Brinzeu”, Liviu Rebreanu 156, 300723 Timisoara, Romania;
| | - Mariana Bondrescu
- Department of Neurosciences-Psychiatry, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.P.); (L.D.); (R.S.R.); (M.B.)
- Department of Psychiatry, Timis County Emergency Clinical Hospital “Pius Brinzeu”, Liviu Rebreanu 156, 300723 Timisoara, Romania;
- Doctoral School, University of Medicine and Pharmacy “Victor Babes” Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Cristian Zoltan Dimeny
- Department of Psychiatry, Timis County Emergency Clinical Hospital “Pius Brinzeu”, Liviu Rebreanu 156, 300723 Timisoara, Romania;
| | - Eugenia Maria Domuta
- Surgery Department, Faculty of Medicine and Pharmacy, University of Oradea, Piata 1 Decembrie 10, 410073 Oradea, Romania; (E.M.D.); (I.M.)
| | - Felix Bratosin
- Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (F.B.); (I.B.); (M.L.G.)
| | - Iulia Bogdan
- Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (F.B.); (I.B.); (M.L.G.)
| | - Mirela Loredana Grigoras
- Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (F.B.); (I.B.); (M.L.G.)
- Department of Anatomy and Embryology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Codruta Victoria Tigmeanu
- Department of Technology of Materials and Devices in Dental Medicine, Multidisciplinary Center for Research, Evaluation, Diagnosis and Therapies in Oral Medicine, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
- Correspondence:
| | - Angelica Gherman
- Research Center for Medical Communication, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
| | - Iosif Marincu
- Surgery Department, Faculty of Medicine and Pharmacy, University of Oradea, Piata 1 Decembrie 10, 410073 Oradea, Romania; (E.M.D.); (I.M.)
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50
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Gupta GS. The Lactate and the Lactate Dehydrogenase in Inflammatory Diseases and Major Risk Factors in COVID-19 Patients. Inflammation 2022; 45:2091-2123. [PMID: 35588340 PMCID: PMC9117991 DOI: 10.1007/s10753-022-01680-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/04/2022] [Accepted: 05/03/2022] [Indexed: 12/15/2022]
Abstract
Lactate dehydrogenase (LDH) is a terminating enzyme in the metabolic pathway of anaerobic glycolysis with end product of lactate from glucose. The lactate formation is crucial in the metabolism of glucose when oxygen is in inadequate supply. Lactate can also be formed and utilised by different cell types under fully aerobic conditions. Blood LDH is the marker enzyme, which predicts mortality in many conditions such as ARDS, serious COVID-19 and cancer patients. Lactate plays a critical role in normal physiology of humans including an energy source, a signaling molecule and a pH regulator. Depending on the pH, lactate exists as the protonated acidic form (lactic acid) at low pH or as sodium salt (sodium lactate) at basic pH. Lactate can affect the immune system and act as a signaling molecule, which can provide a “danger” signal for life. Several reports provide evidence that the serum lactate represents a chemical marker of severity of disease similar to LDH under inflammatory conditions. Since the mortality rate is much higher among COVID-19 patients, associated with high serum LDH, this article is aimed to review the LDH as a therapeutic target and lactate as potential marker for monitoring treatment response of inflammatory diseases. Finally, the review summarises various LDH inhibitors, which offer potential applications as therapeutic agents for inflammatory diseases, associated with high blood LDH. Both blood LDH and blood lactate are suggested as risk factors for the mortality of patients in serious inflammatory diseases.
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Affiliation(s)
- G S Gupta
- Department of Biophysics, Panjab University, Chandigarh, 160014, India.
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