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Tanneti NS, Stillwell HA, Weiss SR. Human coronaviruses: activation and antagonism of innate immune responses. Microbiol Mol Biol Rev 2025; 89:e0001623. [PMID: 39699237 PMCID: PMC11948496 DOI: 10.1128/mmbr.00016-23] [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] [Indexed: 12/20/2024] Open
Abstract
SUMMARYHuman coronaviruses cause a range of respiratory diseases, from the common cold (HCoV-229E, HCoV-NL63, HCoV-OC43, and SARS-CoV-2) to lethal pneumonia (SARS-CoV, SARS-CoV-2, and MERS-CoV). Coronavirus interactions with host innate immune antiviral responses are an important determinant of disease outcome. This review compares the host's innate response to different human coronaviruses. Host antiviral defenses discussed in this review include frontline defenses against respiratory viruses in the nasal epithelium, early sensing of viral infection by innate immune effectors, double-stranded RNA and stress-induced antiviral pathways, and viral antagonism of innate immune responses conferred by conserved coronavirus nonstructural proteins and genus-specific accessory proteins. The common cold coronaviruses HCoV-229E and -NL63 induce robust interferon signaling and related innate immune pathways, SARS-CoV and SARS-CoV-2 induce intermediate levels of activation, and MERS-CoV shuts down these pathways almost completely.
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Affiliation(s)
- Nikhila S. Tanneti
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Helen A. Stillwell
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Susan R. Weiss
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Chen BJ, Lin CH, Wu HY, Cai JJ, Chao DY. Experimental and analytical pipeline for sub-genomic RNA landscape of coronavirus by Nanopore sequencer. Microbiol Spectr 2024; 12:e0395423. [PMID: 38483513 PMCID: PMC10986531 DOI: 10.1128/spectrum.03954-23] [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: 11/15/2023] [Accepted: 02/26/2024] [Indexed: 04/06/2024] Open
Abstract
Coronaviruses (CoVs), including severe acute respiratory syndrome coronavirus 2, can infect a variety of mammalian and avian hosts with significant medical and economic consequences. During the life cycle of CoV, a coordinated series of subgenomic RNAs, including canonical subgenomic messenger RNA and non-canonical defective viral genomes (DVGs), are generated with different biological implications. Studies that adopted the Nanopore sequencer (ONT) to investigate the landscape and dynamics of viral RNA subgenomic transcriptomes applied arbitrary bioinformatics parameters without justification or experimental validation. The current study used bovine coronavirus (BCoV), which can be performed under biosafety level 2 for library construction and experimental validation using traditional colony polymerase chain reaction and Sanger sequencing. Four different ONT protocols, including RNA direct and cDNA direct sequencing with or without exonuclease treatment, were used to generate RNA transcriptomic libraries from BCoV-infected cell lysates. Through rigorously examining the k-mer, gap size, segment size, and bin size, the optimal cutoffs for the bioinformatic pipeline were determined to remove the sequence noise while keeping the informative DVG reads. The sensitivity and specificity of identifying DVG reads using the proposed pipeline can reach 82.6% and 99.6% under the k-mer size cutoff of 15. Exonuclease treatment reduced the abundance of RNA transcripts; however, it was not necessary for future library preparation. Additional recovery of clipped BCoV nucleotide sequences with experimental validation expands the landscape of the CoV discontinuous RNA transcriptome, whose biological function requires future investigation. The results of this study provide the benchmarks for library construction and bioinformatic parameters for studying the discontinuous CoV RNA transcriptome.IMPORTANCEFunctional defective viral genomic RNA, containing all the cis-acting elements required for translation or replication, may play different roles in triggering cell innate immune signaling, interfering with the canonical subgenomic messenger RNA transcription/translation or assisting in establishing persistence infection. This study does not only provide benchmarks for library construction and bioinformatic parameters for studying the discontinuous coronavirus RNA transcriptome but also reveals the complexity of the bovine coronavirus transcriptome, whose functional assays will be critical in future studies.
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Affiliation(s)
- Bo-Jia Chen
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung, Taiwan
| | - Ching-Hung Lin
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Hung-Yi Wu
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - James J. Cai
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Day-Yu Chao
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung, Taiwan
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
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Casella V, Domenjo-Vila E, Esteve-Codina A, Pedragosa M, Cebollada Rica P, Vidal E, de la Rubia I, López-Rodríguez C, Bocharov G, Argilaguet J, Meyerhans A. Differential kinetics of splenic CD169+ macrophage death is one underlying cause of virus infection fate regulation. Cell Death Dis 2023; 14:838. [PMID: 38110339 PMCID: PMC10728219 DOI: 10.1038/s41419-023-06374-y] [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: 08/29/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/20/2023]
Abstract
Acute infection and chronic infection are the two most common fates of pathogenic virus infections. While several factors that contribute to these fates are described, the critical control points and the mechanisms that underlie infection fate regulation are incompletely understood. Using the acute and chronic lymphocytic choriomeningitis virus (LCMV) infection model of mice, we find that the early dynamic pattern of the IFN-I response is a differentiating trait between both infection fates. Acute-infected mice generate a 2-wave IFN-I response while chronic-infected mice generate only a 1-wave response. The underlying cause is a temporal difference in CD8 T cell-mediated killing of splenic marginal zone CD169+ macrophages. It occurs later in acute infection and thus enables CD169+ marginal zone macrophages to produce the 2nd IFN-I wave. This is required for subsequent immune events including induction of inflammatory macrophages, generation of effector CD8+ T cells and virus clearance. Importantly, these benefits come at a cost for the host in the form of spleen fibrosis. Due to an earlier marginal zone destruction, these ordered immune events are deregulated in chronic infection. Our findings demonstrate the critical importance of kinetically well-coordinated sequential immune events for acute infection control and highlights that it may come at a cost for the host organism.
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Affiliation(s)
- Valentina Casella
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Eva Domenjo-Vila
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Anna Esteve-Codina
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, 08028, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
| | - Mireia Pedragosa
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Paula Cebollada Rica
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Enric Vidal
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain
| | - Ivan de la Rubia
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
- EMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia
| | - Cristina López-Rodríguez
- Immunology Unit, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Gennady Bocharov
- Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Moscow, Russia
- Sechenov First Moscow State Medical University, 119991, Moscow, Russia
| | - Jordi Argilaguet
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain.
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain.
| | - Andreas Meyerhans
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010, Barcelona, Spain.
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Stojkovic A, Ilic I, Kostic A, Dajic K, Raskovic Z, Nestorovic J, Ilic M. The Difficulty Detecting Tuberculosis in a Child with Post-COVID-19 and Cerebral Palsy. Diagnostics (Basel) 2023; 13:2826. [PMID: 37685364 PMCID: PMC10486478 DOI: 10.3390/diagnostics13172826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
When hypostatic pneumonia is present at the same time as COVID-19 pneumonia, the clinical course is almost always prolonged (prolonged-COVID-19) due to persistent inflammation, long-term anti-inflammatory syndrome, followed by immune exhaustion, i.e., by immunosuppression and catabolic syndrome. In the immunosuppression phase, viral reactivation can be accompanied by a secondary infection, which, in this case, is pulmonary tuberculosis. Pulmonary tuberculosis in post-COVID-19 patients and in patients with spastic quadriplegic cerebral palsy does not have a typical clinical course nor laboratory, radiological, immunological, microbiological, or fiberbronchoscopic pathohistological confirmation. Due to this, the treatment of pulmonary tuberculosis was not carried out on time, postponed after the unsuccessful treatment of sepsis, post-COVID-19, and other accompanying viral (adenovirus, RSV) and bacterial (streptococcus viridans) infections. The treatment of pulmonary tuberculosis was possible only "ex juvantibus" (trial) post-COVID-19. It becomes imperative to search for a new, more precise and reliable diagnostic test for the detection of tuberculosis bacillus.
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Affiliation(s)
- Andjelka Stojkovic
- University Clinical Center Clinic of Pediatrics Kragujevac Serbia, 34000 Kragujevac, Serbia; (A.K.); (K.D.); (Z.R.); (J.N.)
- University of Kragujevac, Serbia, Faculty of Medical Sciences, Department of Pediatrics, 34000 Kragujevac, Serbia
| | - Irena Ilic
- Department of Epidemiology, Faculty of Medicine University of Belgrade, 11000 Belgrade, Serbia;
| | - Andrijana Kostic
- University Clinical Center Clinic of Pediatrics Kragujevac Serbia, 34000 Kragujevac, Serbia; (A.K.); (K.D.); (Z.R.); (J.N.)
| | - Katerina Dajic
- University Clinical Center Clinic of Pediatrics Kragujevac Serbia, 34000 Kragujevac, Serbia; (A.K.); (K.D.); (Z.R.); (J.N.)
| | - Zorica Raskovic
- University Clinical Center Clinic of Pediatrics Kragujevac Serbia, 34000 Kragujevac, Serbia; (A.K.); (K.D.); (Z.R.); (J.N.)
| | - Jelena Nestorovic
- University Clinical Center Clinic of Pediatrics Kragujevac Serbia, 34000 Kragujevac, Serbia; (A.K.); (K.D.); (Z.R.); (J.N.)
| | - Milena Ilic
- University of Kragujevac, Serbia, Faculty of Medical Sciences, Department of Epidemiology, 34000 Kragujevac, Serbia;
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