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Wei J, Patil A, Collings CK, Alfajaro MM, Liang Y, Cai WL, Strine MS, Filler RB, DeWeirdt PC, Hanna RE, Menasche BL, Ökten A, Peña-Hernández MA, Klein J, McNamara A, Rosales R, McGovern BL, Luis Rodriguez M, García-Sastre A, White KM, Qin Y, Doench JG, Yan Q, Iwasaki A, Zwaka TP, Qi J, Kadoch C, Wilen CB. Pharmacological disruption of mSWI/SNF complex activity restricts SARS-CoV-2 infection. Nat Genet 2023; 55:471-483. [PMID: 36894709 PMCID: PMC10011139 DOI: 10.1038/s41588-023-01307-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 01/23/2023] [Indexed: 03/11/2023]
Abstract
Identification of host determinants of coronavirus infection informs mechanisms of viral pathogenesis and can provide new drug targets. Here we demonstrate that mammalian SWItch/Sucrose Non-Fermentable (mSWI/SNF) chromatin remodeling complexes, specifically canonical BRG1/BRM-associated factor (cBAF) complexes, promote severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and represent host-directed therapeutic targets. The catalytic activity of SMARCA4 is required for mSWI/SNF-driven chromatin accessibility at the ACE2 locus, ACE2 expression and virus susceptibility. The transcription factors HNF1A/B interact with and recruit mSWI/SNF complexes to ACE2 enhancers, which contain high HNF1A motif density. Notably, small-molecule mSWI/SNF ATPase inhibitors or degraders abrogate angiotensin-converting enzyme 2 (ACE2) expression and confer resistance to SARS-CoV-2 variants and a remdesivir-resistant virus in three cell lines and three primary human cell types, including airway epithelial cells, by up to 5 logs. These data highlight the role of mSWI/SNF complex activities in conferring SARS-CoV-2 susceptibility and identify a potential class of broad-acting antivirals to combat emerging coronaviruses and drug-resistant variants.
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Affiliation(s)
- Jin Wei
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Ajinkya Patil
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Virology, Harvard Medical School, Boston, MA, USA
| | - Clayton K Collings
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mia Madel Alfajaro
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Yu Liang
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Wesley L Cai
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Madison S Strine
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Renata B Filler
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Peter C DeWeirdt
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ruth E Hanna
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bridget L Menasche
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Arya Ökten
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Mario A Peña-Hernández
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Jon Klein
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Andrew McNamara
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Romel Rosales
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Briana L McGovern
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Luis Rodriguez
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular and Cell based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yiren Qin
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John G Doench
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Qin Yan
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Akiko Iwasaki
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Thomas P Zwaka
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jun Qi
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Cigall Kadoch
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Craig B Wilen
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
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Pizon K, Hampal S, Orzechowska K, Muhammad SN. A Review of Pathology and Analysis of Approaches to Easing Kidney Disease Impact: Host-Pathogen Communication and Biomedical Visualization Perspective : Advanced Microscopy and Visualization of Host-Pathogen Communication. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1406:41-57. [PMID: 37016110 DOI: 10.1007/978-3-031-26462-7_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
INTRODUCTION In addition to affecting the upper respiratory tract, severe acute respiratory syndrome-coronavirus (SARS-CoV) and SARS-CoV-2) can target kidneys resulting in disease impact. There is a lack of effective treatment for SARs-CoV and SARS-CoV-2, and so one approach could be to consider to lower the probable risk and onset of disease amongst immunocompromised and immunosuppressed individuals and patients. Angiotensin Converting Enzyme 2 (ACE2) has a promising impact including acting against SARs-CoV and SARS-CoV-2 symptoms. Current literature states that ACE2 is expressed across several physiological systems, including the lungs, cardiovascular, gut, kidneys, and central nervous, and across endothelia. AIMS This chapter seeks to investigate causes and potential mechanisms during SARS infection (CoV-2), renal interaction, and the effects of acute kidney Injury (AKI). OBJECTIVES This chapter will provide an overview of microscopy and visualization of host-pathogen communication and principles of ACE2 in the context of immunology and impact on renal pathophysiology. DESIGN This chapter focuses to provide basic principles of ACE2 and the analysis and effect of immunology and pathological components important in relation to SARs infection. DISCUSSION There has been a surge in literature surrounding mechanisms attributing to SARS-CoV and SARS-CoV-2 action on immune response to pathogens. There is an advantage to implementing ACE2 treatment to improve immune response against infection. CONCLUSION ACE2 may provide appropriate strategies for the management of symptoms that relate to SARS-CoV and SARS-CoV-2 in most immunocompromised or immunosuppressed patients. Visualization of ACE2 action can be achieved through microscopy to understand host-pathogen communication.
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Affiliation(s)
- Kacper Pizon
- Department of Life Sciences, Coventry University, Coventry, England, UK
- The Renal Patient Support Group (RPSG), Coventry, England, UK
| | - Savita Hampal
- Department of Life Sciences, Coventry University, Coventry, England, UK
- The Renal Patient Support Group (RPSG), Coventry, England, UK
| | - Kamila Orzechowska
- Department of Life Sciences, Coventry University, Coventry, England, UK
- The Renal Patient Support Group (RPSG), Coventry, England, UK
| | - Shahid Nazir Muhammad
- Department of Health, and Life Sciences, Coventry University, Coventry, England, UK.
- University Hospitals Bristol NHS Foundation Trust, Bristol, England, UK.
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Achom A, Das R, Pakray P. An improved Fuzzy based GWO algorithm for predicting the potential host receptor of COVID-19 infection. Comput Biol Med 2022; 151:106050. [PMID: 36334362 PMCID: PMC9404081 DOI: 10.1016/j.compbiomed.2022.106050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 08/12/2022] [Accepted: 08/20/2022] [Indexed: 12/27/2022]
Abstract
Coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and has infected millions worldwide. SARS-CoV-2 spike protein uses Angiotensin-converting enzyme 2 (ACE2) and Transmembrane serine protease 2 (TMPRSS2) for entering and fusing the host cell membrane. However, interaction with spike protein receptors and protease processing are not the only factors determining coronaviruses' entry. Several proteases mediate the entry of SARS-CoV-2 virus into the host cell. Identifying receptor factors helps understand tropism, transmission, and pathogenesis of COVID-19 infection in humans. The paper aims to identify novel viral receptor or membrane proteins that are transcriptionally and biologically similar to ACE2 and TMPRSS2 through a fuzzy clustering technique that employs the Grey wolf optimizer (GWO) algorithm for finding the optimal cluster center. The exploratory and exploitation capability of GWO algorithm is improved by hybridizing mutation and crossover operators of the evolutionary algorithm. Also, the genetic diversity of the grey wolf population is enhanced by eliminating weak individuals from the population. The proposed clustering algorithm's effectiveness is shown by detecting novel viral receptors and membrane proteins associated with the pathogenesis of SARS-CoV-2 infection. The expression profiles of ACE2 protein and its co-receptor factor are analyzed and compared with single-cell transcriptomics profiling using the Seurat R toolkit, mass spectrometry (MS), and immunohistochemistry (IHC). Our advanced clustering method infers that cell that expresses high ACE2 level are more affected by SARS-CoV-infection. So, SARS-CoV-2 virus affects lung, intestine, testis, heart, kidney, and liver more severely than brain, bone marrow, skin, spleen, etc. We have identified 58 novel viral receptors and 816 membrane proteins, and their role in the pathogenicity mechanism of SARS-CoV-2 infection has been studied. Besides, our study confirmed that Neuropilins (NRP1), G protein-coupled receptor 78 (GPR78), C-type lectin domain family 4 member M (CLEC4M), Kringle containing transmembrane protein 1 (KREMEN1), Asialoglycoprotein receptor 1 (ASGR1), A Disintegrin and metalloprotease 17 (ADAM17), Furin, Neuregulin-1,(NRG1), Basigin or CD147 and Poliovirus receptor (PVR) are the potential co-receptors of SARS-CoV-2 virus. A significant finding is that heparin derivative glycosaminoglycans could block the replication of SARS-CoV-2 virus inside the host cytoplasm. The membrane protein N-Deacetylase/N-Sulfotransferase-2 (NDST2), Extostosin protein (EXT1, EXT2, and EXT3), Glucuronic acid epimerase (GLCE), and Xylosyltransferase I, II (XYLT1, XYLT2) could act as the therapeutic target for inhibiting the spread of SARS-CoV-2 infection. Drugs such as carboplatin and gemcitabine are effective in such situations.
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Affiliation(s)
- Amika Achom
- Department of Computer Science and Engineering, National Institute of Technology, Mizoram, Aizwal, 796001, Mizoram, India.
| | - Ranjita Das
- Department of Computer Science and Engineering, National Institute of Technology, Mizoram, Aizwal, 796001, Mizoram, India.
| | - Partha Pakray
- Department of Computer Science and Engineering, National Institute of Technology, Silchar, Silchar, 788003, Assam, India.
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Knabl L, Lee HK, Wieser M, Mur A, Zabernigg A, Knabl L, Rauch S, Bock M, Schumacher J, Kaiser N, Furth PA, Hennighausen L. BNT162b2 vaccination enhances interferon-JAK-STAT-regulated antiviral programs in COVID-19 patients infected with the SARS-CoV-2 Beta variant. COMMUNICATIONS MEDICINE 2022; 2:17. [PMID: 35465056 PMCID: PMC9029844 DOI: 10.1038/s43856-022-00083-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 02/01/2022] [Indexed: 12/12/2022] Open
Abstract
Background SARS-CoV-2 infection activates interferon-controlled signaling pathways and elicits a wide spectrum of immune responses and clinical manifestations in human patients. Methods Here, we investigate the impact of prior vaccination on the innate immune response of hospitalized COVID-19 patients infected with the SARS-CoV-2 Beta variant through RNA sequencing of peripheral blood immune cells. Four patients had received the first dose of BNT162b2 about 11 days prior to the onset of COVID-19 symptoms and five patients were unvaccinated. Patients had received dexamethasone treatment. Immune transcriptomes were obtained at days 7-13, 20-32 and 42-60 after first symptomology. Results RNA-seq reveals an enhanced JAK-STAT-mediated immune transcriptome response at day 10 in vaccinated patients as compared to unvaccinated ones. This increase subsides by day 35. Expression of the gene encoding the antiviral protein oligoadenylate synthetase (OAS) 1, which is inversely correlated with disease severity, and other key antiviral proteins increases in the vaccinated group. We also investigate the immune transcriptome in naïve individuals receiving their first dose of BNT162b2 and identify a gene signature shared with the vaccinated COVID-19 patients. Conclusions Our study demonstrates that RNA-seq can be used to monitor molecular immune responses elicited by the BNT162b2 vaccine, both in naïve individuals and in COVID-19 patients, and it provides a biomarker-based approach to systems vaccinology.
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Affiliation(s)
| | - Hye Kyung Lee
- National Institute of Diabetes, Digestive and Kidney Diseases, Bethesda, MD 20892 USA
| | | | - Anna Mur
- Division of Internal Medicine, Krankenhaus Kufstein, Kufstein, Austria
| | - August Zabernigg
- Division of Internal Medicine, Krankenhaus Kufstein, Kufstein, Austria
| | | | - Simon Rauch
- Division of Anesthesia and Intensive Care Medicine, Krankenhaus Meran, Meran, Italy
| | - Matthias Bock
- Division of Anesthesia and Intensive Care Medicine, Krankenhaus Meran, Meran, Italy
- Department of Anesthesiology, perioperative Medicine and Intensive Care Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Jana Schumacher
- Division of Internal Medicine, Krankenhaus St. Johann, St. Johann, Austria
| | - Norbert Kaiser
- Division of Internal Medicine, Krankenhaus St. Johann, St. Johann, Austria
| | - Priscilla A. Furth
- Departments of Oncology & Medicine, Georgetown University, Washington, DC USA
| | - Lothar Hennighausen
- National Institute of Diabetes, Digestive and Kidney Diseases, Bethesda, MD 20892 USA
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