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Leist SR, Schäfer A, Risemberg EL, Bell TA, Hock P, Zweigart MR, Linnertz CL, Miller DR, Shaw GD, de Villena FPM, Ferris MT, Valdar W, Baric RS. Sarbecovirus disease susceptibility is conserved across viral and host models. Virus Res 2024; 346:199399. [PMID: 38823688 PMCID: PMC11225686 DOI: 10.1016/j.virusres.2024.199399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 04/15/2024] [Accepted: 05/15/2024] [Indexed: 06/03/2024]
Abstract
Coronaviruses have caused three severe epidemics since the start of the 21st century: SARS, MERS and COVID-19. The severity of the ongoing COVID-19 pandemic and increasing likelihood of future coronavirus outbreaks motivates greater understanding of factors leading to severe coronavirus disease. We screened ten strains from the Collaborative Cross mouse genetic reference panel and identified strains CC006/TauUnc (CC006) and CC044/Unc (CC044) as coronavirus-susceptible and resistant, respectively, as indicated by variable weight loss and lung congestion scores four days post-infection. We generated a genetic mapping population of 755 CC006xCC044 F2 mice and exposed the mice to one of three genetically distinct mouse-adapted coronaviruses: clade 1a SARS-CoV MA15 (n=391), clade 1b SARS-CoV-2 MA10 (n=274), and clade 2 HKU3-CoV MA (n=90). Quantitative trait loci (QTL) mapping in SARS-CoV MA15- and SARS-CoV-2 MA10-infected F2 mice identified genetic loci associated with disease severity. Specifically, we identified seven loci associated with variation in outcome following infection with either virus, including one, HrS43, that is present in both groups. Three of these QTL, including HrS43, were also associated with HKU3-CoV MA outcome. HrS43 overlaps with a QTL previously reported by our lab that is associated with SARS-CoV MA15 outcome in CC011xCC074 F2 mice and is also syntenic with a human chromosomal region associated with severe COVID-19 outcomes in humans GWAS. The results reported here provide: (a) additional support for the involvement of this locus in SARS-CoV MA15 infection, (b) the first conclusive evidence that this locus is associated with susceptibility across the Sarbecovirus subgenus, and (c) demonstration of the relevance of mouse models in the study of coronavirus disease susceptibility in humans.
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Affiliation(s)
- Sarah R Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, United States
| | - Alexandra Schäfer
- Department of Epidemiology, University of North Carolina at Chapel Hill, United States
| | - Ellen L Risemberg
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, United States; Department of Genetics, University of North Carolina at Chapel Hill, United States
| | - Timothy A Bell
- Department of Genetics, University of North Carolina at Chapel Hill, United States
| | - Pablo Hock
- Department of Genetics, University of North Carolina at Chapel Hill, United States
| | - Mark R Zweigart
- Department of Epidemiology, University of North Carolina at Chapel Hill, United States
| | - Colton L Linnertz
- Department of Genetics, University of North Carolina at Chapel Hill, United States
| | - Darla R Miller
- Department of Genetics, University of North Carolina at Chapel Hill, United States
| | - Ginger D Shaw
- Department of Genetics, University of North Carolina at Chapel Hill, United States; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, United States
| | - Fernando Pardo Manuel de Villena
- Department of Genetics, University of North Carolina at Chapel Hill, United States; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, United States
| | - Martin T Ferris
- Department of Genetics, University of North Carolina at Chapel Hill, United States.
| | - William Valdar
- Department of Genetics, University of North Carolina at Chapel Hill, United States; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, United States.
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, United States; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, United States; Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, United States.
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Mao W, Miller CM, Nair VD, Ge Y, Amper MAS, Cappuccio A, George M, Goforth CW, Guevara K, Marjanovic N, Nudelman G, Pincas H, Ramos I, Sealfon RSG, Soares‐Schanoski A, Vangeti S, Vasoya M, Weir DL, Zaslavsky E, Kim‐Schulze S, Gnjatic S, Merad M, Letizia AG, Troyanskaya OG, Sealfon SC, Chikina M. A methylation clock model of mild SARS-CoV-2 infection provides insight into immune dysregulation. Mol Syst Biol 2023; 19:e11361. [PMID: 36919946 PMCID: PMC10167476 DOI: 10.15252/msb.202211361] [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: 09/23/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
DNA methylation comprises a cumulative record of lifetime exposures superimposed on genetically determined markers. Little is known about methylation dynamics in humans following an acute perturbation, such as infection. We characterized the temporal trajectory of blood epigenetic remodeling in 133 participants in a prospective study of young adults before, during, and after asymptomatic and mildly symptomatic SARS-CoV-2 infection. The differential methylation caused by asymptomatic or mildly symptomatic infections was indistinguishable. While differential gene expression largely returned to baseline levels after the virus became undetectable, some differentially methylated sites persisted for months of follow-up, with a pattern resembling autoimmune or inflammatory disease. We leveraged these responses to construct methylation-based machine learning models that distinguished samples from pre-, during-, and postinfection time periods, and quantitatively predicted the time since infection. The clinical trajectory in the young adults and in a diverse cohort with more severe outcomes was predicted by the similarity of methylation before or early after SARS-CoV-2 infection to the model-defined postinfection state. Unlike the phenomenon of trained immunity, the postacute SARS-CoV-2 epigenetic landscape we identify is antiprotective.
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Affiliation(s)
- Weiguang Mao
- Department of Computational and Systems Biology, School of MedicineUniversity of PittsburghPAPittsburghUSA
- Present address:
Center for Computational BiologyFlatiron Institute, Simons FoundationNew YorkNYUSA
| | - Clare M Miller
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Venugopalan D Nair
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Yongchao Ge
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Mary Anne S Amper
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Antonio Cappuccio
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | | | | | - Kristy Guevara
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Nada Marjanovic
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - German Nudelman
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Hanna Pincas
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Irene Ramos
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Rachel S G Sealfon
- Center for Computational Biology, Flatiron InstituteSimons FoundationNYNew YorkUSA
| | - Alessandra Soares‐Schanoski
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Present address:
Ragon Institute of MGH, MIT, and HarvardCambridgeMAUSA
| | - Sindhu Vangeti
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Mital Vasoya
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Dawn L Weir
- Naval Medical Research CenterMDSilver SpringUSA
| | - Elena Zaslavsky
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Seunghee Kim‐Schulze
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Human Immune Monitoring Center (HIMC)Icahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Sacha Gnjatic
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Human Immune Monitoring Center (HIMC)Icahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Miriam Merad
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNYNew YorkUSA
- Human Immune Monitoring Center (HIMC)Icahn School of Medicine at Mount SinaiNYNew YorkUSA
| | | | - Olga G Troyanskaya
- Center for Computational Biology, Flatiron InstituteSimons FoundationNYNew YorkUSA
- Department of Computer SciencePrinceton UniversityNJPrincetonUSA
- Lewis‐Sigler Institute for Integrative GenomicsPrinceton UniversityNJPrincetonUSA
| | - Stuart C Sealfon
- Department of NeurologyIcahn School of Medicine at Mount SinaiNYNew YorkUSA
| | - Maria Chikina
- Department of Computational and Systems Biology, School of MedicineUniversity of PittsburghPAPittsburghUSA
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3
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Calzari L, Zanotti L, Inglese E, Scaglione F, Cavagnola R, Ranucci F, Di Blasio AM, Stefanini G, Carlo G, Parati G, Gentilini D. Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome. Eur J Med Res 2023; 28:81. [PMID: 36800980 PMCID: PMC9936487 DOI: 10.1186/s40001-023-01032-7] [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: 07/13/2022] [Accepted: 01/26/2023] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND COVID-19 has a wide spectrum of clinical manifestations and given its impact on morbidity and mortality, there is an unmet medical need to discover endogenous cellular and molecular biomarkers that predict the expected clinical course of the disease. Recently, epigenetics and especially DNA methylation have been pointed out as a promising tool for outcome prediction in several diseases. METHODS AND RESULTS Using the Illumina Infinium Methylation EPIC BeadChip850K, we investigated genome-wide differences in DNA methylation in an Italian Cohort of patients with comorbidities and compared severe (n = 64) and mild (123) prognosis. Results showed that the epigenetic signature, already present at the time of Hospital admission, can significantly predict risk of severe outcomes. Further analyses provided evidence of an association between age acceleration and a severe prognosis after COVID-19 infection. The burden of Stochastic Epigenetic Mutation (SEMs) has been significantly increased in patients with poor prognosis. Results have been replicated in silico considering COVID-19 negative subjects and available previously published datasets. CONCLUSIONS Using original methylation data and taking advantage of already published datasets, we confirmed in the blood that epigenetics is actively involved in immune response after COVID-19 infection, allowing the identification of a specific signature able to discriminate the disease evolution. Furthermore, the study showed that epigenetic drift and age acceleration are associated with severe prognosis. All these findings prove that host epigenetics undergoes notable and specific rearrangements to respond to COVID-19 infection which can be used for a personalized, timely, and targeted management of COVID-19 patients during the first stages of hospitalization.
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Affiliation(s)
- Luciano Calzari
- grid.418224.90000 0004 1757 9530Bioinformatics and Statistical Genomics Unit, IRCCS Istituto Auxologico Italiano, Cusano Milanino, Milan, Italy
| | - Lucia Zanotti
- grid.418224.90000 0004 1757 9530Sleep Disorders Center & Department of Cardiovascular, Neural and Metabolic Sciences, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
| | - Elvira Inglese
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Via Bassi 21, Pavia, Italy ,Chemical-Clinical Analysis Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Francesco Scaglione
- Chemical-Clinical Analysis Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy ,grid.4708.b0000 0004 1757 2822Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Rebecca Cavagnola
- grid.418224.90000 0004 1757 9530Bioinformatics and Statistical Genomics Unit, IRCCS Istituto Auxologico Italiano, Cusano Milanino, Milan, Italy ,grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Via Bassi 21, Pavia, Italy
| | - Francesco Ranucci
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Via Bassi 21, Pavia, Italy
| | - Anna Maria Di Blasio
- grid.418224.90000 0004 1757 9530Molecular Biology Laboratory, IRCCS Istituto Auxologico Italiano, Cusano Milanino, Milan, Italy
| | - Giulio Stefanini
- grid.452490.eDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele-Milan, Italy ,grid.417728.f0000 0004 1756 8807IRCCS Humanitas Research Hospital, Rozzano-Milan, Italy
| | - Gaetano Carlo
- grid.511455.1Laboratorio di Epigenetica, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 4, 27100 Pavia, Italy
| | - Gianfranco Parati
- grid.418224.90000 0004 1757 9530Sleep Disorders Center & Department of Cardiovascular, Neural and Metabolic Sciences, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy ,grid.7563.70000 0001 2174 1754Department of Medicine and Surgery, University of Milan‐Bicocca, Milan, Italy
| | - Davide Gentilini
- Bioinformatics and Statistical Genomics Unit, IRCCS Istituto Auxologico Italiano, Cusano Milanino, Milan, Italy. .,Department of Brain and Behavioral Sciences, University of Pavia, Via Bassi 21, Pavia, Italy.
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Zhang Y, Guo J, Gao Y, Li S, Pan T, Xu G, Li X, Li Y, Yang J. Dynamic transcriptome analyses reveal m 6A regulated immune non-coding RNAs during dengue disease progression. Heliyon 2023; 9:e12690. [PMID: 36685392 PMCID: PMC9850062 DOI: 10.1016/j.heliyon.2022.e12690] [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: 08/06/2022] [Revised: 12/13/2022] [Accepted: 12/22/2022] [Indexed: 01/06/2023] Open
Abstract
Dengue infection is one of the most prevalent arthropod-borne viral diseases, which can result in severe complications. Identification of genes and long non-coding RNAs (lncRNAs) involved in dengue infection would help in deciphering potential mechanisms responsible for the disease progression. We comprehensively analyzed the dynamic transcriptome during dengue disease progression and identified critical genes and lncRNAs with expression perturbations. Our findings revealed that the expression of genes (i.e., CCR10 and GNG7) and lncRNAs (i.e., CTBP1-AS and MAFG-AS1) were potentially regulated by m6A RNA methylation. Interestingly, dengue viral proteins prevalently interact with genes or lncRNAs with expression perturbations, which are involved in cell cycle, inflammation signaling pathways and immune response. Dynamically expressed genes and lncRNAs were likely to locate in the central regions of human protein-protein network, which play crucial roles in mediating signaling spread and helping viral replication. Immune microenvironments analysis revealed that plasma cells levels were increased and T cells infiltrations were decreased during dengue disease progression. Dynamically expressed genes and lncRNAs were correlated with immune cell infiltrations. Moreover, network analysis reveals the associations between dengue viral infections and human complex diseases (i.e., digestive diseases and neoplasms). Our comprehensive transcriptome analysis of dengue disease progression identified potential gene and lncRNA biomarkers, providing novel insights for understanding the pathogenesis of and developing effective therapeutic strategies for dengue infection.
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Affiliation(s)
- Ya Zhang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China
| | - Jing Guo
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China
| | - Yueying Gao
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China
| | - Si Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China
| | - Tao Pan
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China
| | - Gang Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China
| | - Xia Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China,College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China,Corresponding author.Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China.
| | - Yongsheng Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China,Corresponding author.
| | - Jun Yang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 571199, China,Corresponding author.
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Chattopadhyay P, Khare K, Kumar M, Mishra P, Anand A, Maurya R, Gupta R, Sahni S, Gupta A, Wadhwa S, Yadav A, Devi P, Tardalkar K, Joshi M, Sethi T, Pandey R. Single-cell multiomics revealed the dynamics of antigen presentation, immune response and T cell activation in the COVID-19 positive and recovered individuals. Front Immunol 2022; 13:1034159. [PMID: 36532041 PMCID: PMC9755500 DOI: 10.3389/fimmu.2022.1034159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/16/2022] [Indexed: 12/05/2022] Open
Abstract
Introduction Despite numerous efforts to describe COVID-19's immunological landscape, there is still a gap in our understanding of the virus's infections after-effects, especially in the recovered patients. This would be important to understand as we now have huge number of global populations infected by the SARS-CoV-2 as well as variables inclusive of VOCs, reinfections, and vaccination breakthroughs. Furthermore, single-cell transcriptome alone is often insufficient to understand the complex human host immune landscape underlying differential disease severity and clinical outcome. Methods By combining single-cell multi-omics (Whole Transcriptome Analysis plus Antibody-seq) and machine learning-based analysis, we aim to better understand the functional aspects of cellular and immunological heterogeneity in the COVID-19 positive, recovered and the healthy individuals. Results Based on single-cell transcriptome and surface marker study of 163,197 cells (124,726 cells after data QC) from the 33 individuals (healthy=4, COVID-19 positive=16, and COVID-19 recovered=13), we observed a reduced MHC Class-I-mediated antigen presentation and dysregulated MHC Class-II-mediated antigen presentation in the COVID-19 patients, with restoration of the process in the recovered individuals. B-cell maturation process was also impaired in the positive and the recovered individuals. Importantly, we discovered that a subset of the naive T-cells from the healthy individuals were absent from the recovered individuals, suggesting a post-infection inflammatory stage. Both COVID-19 positive patients and the recovered individuals exhibited a CD40-CD40LG-mediated inflammatory response in the monocytes and T-cell subsets. T-cells, NK-cells, and monocyte-mediated elevation of immunological, stress and antiviral responses were also seen in the COVID-19 positive and the recovered individuals, along with an abnormal T-cell activation, inflammatory response, and faster cellular transition of T cell subtypes in the COVID-19 patients. Importantly, above immune findings were used for a Bayesian network model, which significantly revealed FOS, CXCL8, IL1β, CST3, PSAP, CD45 and CD74 as COVID-19 severity predictors. Discussion In conclusion, COVID-19 recovered individuals exhibited a hyper-activated inflammatory response with the loss of B cell maturation, suggesting an impeded post-infection stage, necessitating further research to delineate the dynamic immune response associated with the COVID-19. To our knowledge this is first multi-omic study trying to understand the differential and dynamic immune response underlying the sample subtypes.
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Affiliation(s)
- Partha Chattopadhyay
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Kriti Khare
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Manish Kumar
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
- CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Pallavi Mishra
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Alok Anand
- Indraprastha Institute of Information Technology Delhi, New Delhi, India
| | - Ranjeet Maurya
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Rohit Gupta
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Shweta Sahni
- CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Ayushi Gupta
- Indraprastha Institute of Information Technology Delhi, New Delhi, India
| | - Saruchi Wadhwa
- CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Aanchal Yadav
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Priti Devi
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Kishore Tardalkar
- Department of Stem Cells and Regenerative Medicine, Dr. D. Y. Patil Medical College, Hospital and Research Institute, Kolhapur, Maharashtra, India
| | - Meghnad Joshi
- Department of Stem Cells and Regenerative Medicine, Dr. D. Y. Patil Medical College, Hospital and Research Institute, Kolhapur, Maharashtra, India
| | - Tavpritesh Sethi
- Indraprastha Institute of Information Technology Delhi, New Delhi, India
| | - Rajesh Pandey
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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Zhang C, Sun Y, Xu M, Shu C, Yue Z, Hou J, Ou D. Potential links between COVID-19 and periodontitis: a bioinformatic analysis based on GEO datasets. BMC Oral Health 2022; 22:520. [DOI: 10.1186/s12903-022-02435-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 09/06/2022] [Indexed: 11/23/2022] Open
Abstract
Abstract
Background
2019 Coronavirus disease (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The COVID-19 pandemic has already had a serious influence on human existence, causing a huge public health concern for countries all around the world. Because SARS-CoV-2 infection can be spread by contact with the oral cavity, the link between oral illness and COVID-19 is gaining traction. Through bioinformatics approaches, we explored the possible molecular mechanisms linking the COVID-19 and periodontitis to provide the basis and direction for future research.
Methods
Transcriptomic data from blood samples of patients with COVID-19 and periodontitis was downloaded from the Gene Expression Omnibus database. The shared differentially expressed genes were identified. The analysis of Gene Ontology, Kyoto Encyclopedia of Genesand Genomes pathway, and protein–protein interaction network was conducted for the shared differentially expressed genes. Top 5 hub genes were selected through Maximal Clique Centrality algorithm. Then mRNA-miRNA network of the hub genes was established based on miRDB database, miRTarbase database and Targetscan database. The Least absolute shrinkage and selection operator regression analysis was used to discover possible biomarkers, which were then investigated in relation to immune-related genes.
Results
Fifty-six shared genes were identified through differential expression analysis in COVID-19 and periodontitis. The function of these genes was enriched in regulation of hormone secretion, regulation of secretion by cell. Myozenin 2 was identified through Least absolute shrinkage and selection operator regression Analysis, which was down-regulated in both COVID-19 and periodontitis. There was a positive correlation between Myozenin 2 and the biomarker of activated B cell, memory B cell, effector memory CD4 T cell, Type 17 helper cell, T follicular helper cell and Type 2 helper cell.
Conclusion
By bioinformatics analysis, Myozenin 2 is predicted to correlate to the pathogenesis and immune infiltrating of COVID-19 and periodontitis. However, more clinical and experimental researches are needed to validate the function of Myozenin 2.
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7
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Loi E, Moi L, Cabras P, Arduino G, Costanzo G, Del Giacco S, Erlich HA, Firinu D, Caddori A, Zavattari P. HLA-C dysregulation as a possible mechanism of immune evasion in SARS-CoV-2 and other RNA-virus infections. Front Immunol 2022; 13:1011829. [PMID: 36325330 PMCID: PMC9618630 DOI: 10.3389/fimmu.2022.1011829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/20/2022] [Indexed: 11/27/2022] Open
Abstract
One of the mechanisms by which viruses can evade the host’s immune system is to modify the host’s DNA methylation pattern. This work aims to investigate the DNA methylation and gene expression profile of COVID-19 patients, divided into symptomatic and asymptomatic, and healthy controls, focusing on genes involved in the immune response. In this study, changes in the methylome of COVID-19 patients’ upper airways cells, the first barrier against respiratory infections and the first cells presenting viral antigens, are shown for the first time. Our results showed alterations in the methylation pattern of genes encoding proteins implicated in the response against pathogens, in particular the HLA-C gene, also important for the T-cell mediated memory response. HLA-C expression significantly decreases in COVID-19 patients, especially in those with a more severe prognosis and without other possibly confounding co-morbidities. Moreover, our bionformatic analysis revealed that the identified methylation alteration overlaps with enhancers regulating HLA-C expression, suggesting an additional mechanism exploited by SARS-CoV-2 to inhibit this fundamental player in the host’s immune response. HLA-C could therefore represent both a prognostic marker and an excellent therapeutic target, also suggesting a preventive intervention that conjugate a virus-specific antigenic stimulation with an adjuvant increasing the T-cell mediated memory response.
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Affiliation(s)
- Eleonora Loi
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy
| | - Loredana Moi
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy
| | - Paola Cabras
- Department of Internal Medicine, Hospital SS. Trinità, Cagliari, Italy
| | - Giulia Arduino
- Department of Internal Medicine, Hospital SS. Trinità, Cagliari, Italy
| | - Giulia Costanzo
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Stefano Del Giacco
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Henry A. Erlich
- Department of Genetics and Genomics, Children’s Hospital Oakland Research Institute, Oakland, CA, United States
| | - Davide Firinu
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Aldo Caddori
- Department of Internal Medicine, Hospital SS. Trinità, Cagliari, Italy
| | - Patrizia Zavattari
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy
- *Correspondence: Patrizia Zavattari,
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8
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Foolchand A, Mazaleni S, Ghazi T, Chuturgoon AA. A Review: Highlighting the Links between Epigenetics, COVID-19 Infection, and Vitamin D. Int J Mol Sci 2022; 23:ijms232012292. [PMID: 36293144 PMCID: PMC9603374 DOI: 10.3390/ijms232012292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/07/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
The highly transmittable and infectious COVID-19 remains a major threat worldwide, with the elderly and comorbid individuals being the most vulnerable. While vaccines are currently available, therapeutic drugs will help ease the viral outbreak and prevent serious health outcomes. Epigenetic modifications regulate gene expression through changes in chromatin structure and have been linked to viral pathophysiology. Since epigenetic modifications contribute to the life cycle of the virus and host immune responses to infection, epigenetic drugs are promising treatment targets to ameliorate COVID-19. Deficiency of the multifunctional secosteroid hormone vitamin D is a global health threat. Vitamin D and its receptor function to regulate genes involved in immunity, apoptosis, proliferation, differentiation, and inflammation. Amassed evidence also indicates the biological relations of vitamin D with reduced disease risk, while its receptor can be modulated by epigenetic mechanisms. The immunomodulatory effects of vitamin D suggest a role for vitamin D as a COVID-19 therapeutic agent. Therefore, this review highlights the epigenetic effects on COVID-19 and vitamin D while also proposing a role for vitamin D in COVID-19 infections.
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9
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Lee Y, Riskedal E, Kalleberg KT, Istre M, Lind A, Lund-Johansen F, Reiakvam O, Søraas AVL, Harris JR, Dahl JA, Hadley CL, Jugessur A. EWAS of post-COVID-19 patients shows methylation differences in the immune-response associated gene, IFI44L, three months after COVID-19 infection. Sci Rep 2022; 12:11478. [PMID: 35798818 PMCID: PMC9261254 DOI: 10.1038/s41598-022-15467-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 06/23/2022] [Indexed: 11/24/2022] Open
Abstract
Although substantial progress has been made in managing COVID-19, it is still difficult to predict a patient’s prognosis. We explored the epigenetic signatures of COVID-19 in peripheral blood using data from an ongoing prospective observational study of COVID-19 called the Norwegian Corona Cohort Study. A series of EWASs were performed to compare the DNA methylation profiles between COVID-19 cases and controls three months post-infection. We also investigated differences associated with severity and long-COVID. Three CpGs—cg22399236, cg03607951, and cg09829636—were significantly hypomethylated (FDR < 0.05) in COVID-19 positive individuals. cg03607951 is located in IFI44L which is involved in innate response to viral infection and several systemic autoimmune diseases. cg09829636 is located in ANKRD9, a gene implicated in a wide variety of cellular processes, including the degradation of IMPDH2. The link between ANKRD9 and IMPDH2 is striking given that IMPDHs are considered therapeutic targets for COVID-19. Furthermore, gene ontology analyses revealed pathways involved in response to viruses. The lack of significant differences associated with severity and long-COVID may be real or reflect limitations in sample size. Our findings support the involvement of interferon responsive genes in the pathophysiology of COVID-19 and indicate a possible link to systemic autoimmune diseases.
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Affiliation(s)
- Yunsung Lee
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, P.O. box 222, 0213, Oslo, Norway
| | | | | | - Mette Istre
- Department of Microbiology, Oslo University Hospital Rikshospitalet, 0372, Oslo, Norway
| | - Andreas Lind
- Department of Microbiology, Oslo University Hospital Ullevaal, 0372, Oslo, Norway
| | | | - Olaug Reiakvam
- Department of Microbiology, Oslo University Hospital Rikshospitalet, 0372, Oslo, Norway
| | - Arne V L Søraas
- Department of Microbiology, Oslo University Hospital Rikshospitalet, 0372, Oslo, Norway
| | - Jennifer R Harris
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, P.O. box 222, 0213, Oslo, Norway
| | - John Arne Dahl
- Department of Microbiology, Oslo University Hospital Rikshospitalet, 0372, Oslo, Norway
| | | | - Astanand Jugessur
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, P.O. box 222, 0213, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, P.O. box 7804, 5020, Bergen, Norway
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10
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Huoman J, Sayyab S, Apostolou E, Karlsson L, Porcile L, Rizwan M, Sharma S, Das J, Rosén A, Lerm M. Epigenetic rewiring of pathways related to odour perception in immune cells exposed to SARS-CoV-2 in vivo and in vitro. Epigenetics 2022; 17:1875-1891. [PMID: 35758003 PMCID: PMC9665140 DOI: 10.1080/15592294.2022.2089471] [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] [Indexed: 11/29/2022] Open
Abstract
A majority of SARS-CoV-2 recoverees develop only mild-to-moderate symptoms, while some remain completely asymptomatic. Although viruses, including SARS-CoV-2, may evade host immune responses by epigenetic mechanisms including DNA methylation, little is known about whether these modifications are important in defence against and healthy recovery from COVID-19 in the host. To this end, epigenome-wide DNA methylation patterns from COVID-19 convalescents were compared to uninfected controls from before and after the pandemic. Peripheral blood mononuclear cell (PBMC) DNA was extracted from uninfected controls, COVID-19 convalescents, and symptom-free individuals with SARS-CoV-2-specific T cell-responses, as well as from PBMCs stimulated in vitro with SARS-CoV-2. Subsequently, the Illumina MethylationEPIC 850K array was performed, and statistical/bioinformatic analyses comprised differential DNA methylation, pathway over-representation, and module identification analyses. Differential DNA methylation patterns distinguished COVID-19 convalescents from uninfected controls, with similar results in an experimental SARS-CoV-2 infection model. A SARS-CoV-2-induced module was identified in vivo, comprising 66 genes of which six (TP53, INS, HSPA4, SP1, ESR1, and FAS) were present in corresponding in vitro analyses. Over-representation analyses revealed involvement in Wnt, muscarinic acetylcholine receptor signalling, and gonadotropin-releasing hormone receptor pathways. Furthermore, numerous differentially methylated and network genes from both settings interacted with the SARS-CoV-2 interactome. Altered DNA methylation patterns of COVID-19 convalescents suggest recovery from mild-to-moderate SARS-CoV-2 infection leaves longstanding epigenetic traces. Both in vitro and in vivo exposure caused epigenetic modulation of pathways thataffect odour perception. Future studies should determine whether this reflects host-induced protective antiviral defense or targeted viral hijacking to evade host defence.
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Affiliation(s)
- Johanna Huoman
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.,Department of Dermatology and Allergy, University Hospital Bonn, Bonn, Germany
| | - Shumaila Sayyab
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Eirini Apostolou
- Division of Cell Biology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Lovisa Karlsson
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Lucas Porcile
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Muhammad Rizwan
- Division of Cell Biology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Sumit Sharma
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Jyotirmoy Das
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Anders Rosén
- Division of Cell Biology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Maria Lerm
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
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11
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Pang APS, Higgins-Chen AT, Comite F, Raica I, Arboleda C, Went H, Mendez T, Schotsaert M, Dwaraka V, Smith R, Levine ME, Ndhlovu LC, Corley MJ. Longitudinal Study of DNA Methylation and Epigenetic Clocks Prior to and Following Test-Confirmed COVID-19 and mRNA Vaccination. Front Genet 2022; 13:819749. [PMID: 35719387 PMCID: PMC9203887 DOI: 10.3389/fgene.2022.819749] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 04/25/2022] [Indexed: 01/01/2023] Open
Abstract
The host epigenetic landscape rapidly changes during SARS-CoV-2 infection, and evidence suggest that severe COVID-19 is associated with durable scars to the epigenome. Specifically, aberrant DNA methylation changes in immune cells and alterations to epigenetic clocks in blood relate to severe COVID-19. However, a longitudinal assessment of DNA methylation states and epigenetic clocks in blood from healthy individuals prior to and following test-confirmed non-hospitalized COVID-19 has not been performed. Moreover, the impact of mRNA COVID-19 vaccines upon the host epigenome remains understudied. Here, we first examined DNA methylation states in the blood of 21 participants prior to and following test-confirmed COVID-19 diagnosis at a median time frame of 8.35 weeks; 756 CpGs were identified as differentially methylated following COVID-19 diagnosis in blood at an FDR adjusted p-value < 0.05. These CpGs were enriched in the gene body, and the northern and southern shelf regions of genes involved in metabolic pathways. Integrative analysis revealed overlap among genes identified in transcriptional SARS-CoV-2 infection datasets. Principal component-based epigenetic clock estimates of PhenoAge and GrimAge significantly increased in people over 50 following infection by an average of 2.1 and 0.84 years. In contrast, PCPhenoAge significantly decreased in people fewer than 50 following infection by an average of 2.06 years. This observed divergence in epigenetic clocks following COVID-19 was related to age and immune cell-type compositional changes in CD4+ T cells, B cells, granulocytes, plasmablasts, exhausted T cells, and naïve T cells. Complementary longitudinal epigenetic clock analyses of 36 participants prior to and following Pfizer and Moderna mRNA-based COVID-19 vaccination revealed that vaccination significantly reduced principal component-based Horvath epigenetic clock estimates in people over 50 by an average of 3.91 years for those who received Moderna. This reduction in epigenetic clock estimates was significantly related to chronological age and immune cell-type compositional changes in B cells and plasmablasts pre- and post-vaccination. These findings suggest the potential utility of epigenetic clocks as a biomarker of COVID-19 vaccine responses. Future research will need to unravel the significance and durability of short-term changes in epigenetic age related to COVID-19 exposure and mRNA vaccination.
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Affiliation(s)
- Alina P. S. Pang
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Albert T. Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- VA Connecticut Healthcare System, West Haven, CT, United States
| | - Florence Comite
- Comite Center for Precision Medicine & Health, New York, NY, United States
- Lenox Hill Hospital/Northwell, New York, NY, United States
| | - Ioana Raica
- Comite Center for Precision Medicine & Health, New York, NY, United States
| | | | | | | | - Michael Schotsaert
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Ryan Smith
- TruDiagnostic, Lexington, KY, United States
| | - Morgan E. Levine
- Department of Pathology, Yale University School of Medicine, New Haven, CT, United States
| | - Lishomwa C. Ndhlovu
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Michael J. Corley
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
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