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Liu H, Ramirez BM, Wong TS, Weiss CM, Lloyd KCK, Gong Q, Coffey LL. Severe Acute Respiratory Syndrome Coronavirus 2 Variant Infection Dynamics and Pathogenesis in Transgenic K18-h ACE2 and Inbred Immunocompetent C57BL/6J Mice. Viruses 2025; 17:500. [PMID: 40284943 PMCID: PMC12031173 DOI: 10.3390/v17040500] [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: 01/20/2025] [Revised: 03/21/2025] [Accepted: 03/26/2025] [Indexed: 04/29/2025] Open
Abstract
The global impact of the COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), persists in part due to the emergence of new variants. Understanding variant-specific infection dynamics and pathogenesis in murine models is crucial for identifying phenotypic changes and guiding the development of countermeasures. To address the limitations of earlier studies that investigated only a few variants or used small sample sizes, we evaluated clinical disease, infection kinetics, viral titers, cellular localization, and histopathologic changes in the lungs and brains of transgenic B6.Cg-Tg(K18-ACE2)2Prlmn/J ("K18") and corresponding genetic control (C57BL/6J) mice expressing human angiotensin-converting enzyme 2 (hACE2). Six SARS-CoV-2 variants were assessed: B.1 (WA1-like), alpha, beta, delta, omicron, and omicron XBB.1.5, using cohorts of ≥18 mice. Following intranasal inoculation with B.1, alpha, beta, or delta variants, K18 mice experienced rapid weight loss and reached euthanasia criteria by 5-6 days post-inoculation (dpi). In contrast, K18 mice inoculated with both omicron variants recovered to their starting weight within 4-6 dpi. Infectious SARS-CoV-2 was detected in the oropharynx at 1 and2 dpi, in the lungs at 2, 4, and 6 dpi, and in the brain at 4 and 6 dpi for all variants except omicron. SARS-CoV-2 nucleoprotein was detected, and interstitial pneumonia of varying severity was observed in K18 mice infected with all variants. Brain lesions were identified in mice infected with the B.1, beta, and delta variants 6 dpi. As K18 mice express hACE2 in the brain-a feature not present in humans-we also compared infection dynamics of three variants to those of a mouse-adapted WA1 strain in C57BL/6J mice lacking the human ACE2 gene. C57BL/6J mice did not experience lethal disease, exhibited milder pneumonia, and had no evidence of neuroinvasion despite similar infection kinetics to K18 mice. These findings demonstrate contrasting phenotypes across the two models and reduced tropism and pathology of omicron compared to earlier variants in both models. This comprehensive analysis of SARS-CoV-2 variants in two mouse models provides valuable insights for model and variant selection for future studies.
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Affiliation(s)
- Hongwei Liu
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Brianna M. Ramirez
- Department of Cell Biology and Human Anatomy, School of Medicine, University of California, Davis, CA 95616, USA; (B.M.R.); (Q.G.)
| | - Talia S. Wong
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Christopher M. Weiss
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Kevin C. K. Lloyd
- Mouse Biology Program, University of California, Davis, CA 95616, USA
- Department of Surgery, School of Medicine, University of California, Davis, CA 95616, USA
| | - Qizhi Gong
- Department of Cell Biology and Human Anatomy, School of Medicine, University of California, Davis, CA 95616, USA; (B.M.R.); (Q.G.)
| | - Lark L. Coffey
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
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2
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Varghese A, Liu J, Liu B, Guo W, Dong F, Patterson TA, Hong H. Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme. Molecules 2025; 30:491. [PMID: 39942596 PMCID: PMC11820935 DOI: 10.3390/molecules30030491] [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: 12/17/2024] [Revised: 01/17/2025] [Accepted: 01/20/2025] [Indexed: 02/16/2025] Open
Abstract
The COVID-19 pandemic, driven by the novel coronavirus SARS-CoV-2, has drastically reshaped global health and socioeconomic landscapes. The papain-like protease (PLpro) plays a critical role in viral polyprotein cleavage and immune evasion, making it a prime target for therapeutic intervention. Numerous compounds have been identified as inhibitors of SARS-CoV-2 PLpro, with many characterized through crystallographic studies. To date, over 70 three-dimensional (3D) structures of PLpro complexed ligands have been deposited in the Protein Data Bank, offering valuable insight into ligand-binding features that could aid the discovery and development of effective COVID-19 treatments targeting PLpro. In this study, we reviewed and analyzed these 3D structures, focusing on the key residues involved in ligand interactions. Our analysis revealed that most inhibitors bind to PLpro's substrate recognition sites S3/S4 and SUb2. While these sites are highly attractive and have been extensively explored, other potential binding regions, such as SUb1 and the Zn(II) domain, are less explored and may hold untapped potential for future COVID-19 drug discovery and development. Our structural analysis provides insights into the molecular features of PLpro that could accelerate the development of novel therapeutics targeting this essential viral enzyme.
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Affiliation(s)
| | | | | | | | | | | | - Huixiao Hong
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA; (A.V.); (J.L.); (B.L.); (W.G.); (F.D.); (T.A.P.)
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3
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Citron MP, Zang X, Leithead A, Meng S, Rose Ii WA, Murray E, Fontenot J, Bilello JP, Beshore DC, Howe JA. Evaluation of a non-nucleoside inhibitor of the RSV RNA-dependent RNA polymerase in translatable animals models. J Infect 2024; 89:106325. [PMID: 39454831 DOI: 10.1016/j.jinf.2024.106325] [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: 07/08/2024] [Revised: 10/11/2024] [Accepted: 10/17/2024] [Indexed: 10/28/2024]
Abstract
Respiratory Syncytial Virus (RSV) causes severe respiratory infections and concomitant disease resulting in significant morbidity and mortality in infants, elderly, and immunocompromised adults. Vaccines, monoclonal antibodies, and small-molecule antivirals are now either available or in development to prevent and treat RSV infections. Although rodent and non-rodent preclinical animal models have been used to evaluate these emerging agents, there is still a need to improve our understanding of the pharmacokinetic (PK)-pharmacodynamic (PD) relationships within and between animal models to enable better design of human challenge studies and clinical trials. Herein, we report a PKPD evaluation of MRK-1, a novel small molecule non-nucleoside inhibitor of the RSV L polymerase protein, in the semi-permissive cotton rat and African green monkey models of RSV infection. These studies demonstrate a strong relationship between in vitro activity, in vivo drug exposure, and pharmacodynamic efficacy as well as revealing limitations of the cotton rat RSV model. Additionally, we report unexpected horizontal transmission of human RSV between co-housed African green monkeys, as well as a lack of drug specific resistant mutant generation. Taken together these studies further our understanding of these semi-permissive animal models and offer the potential for expansion of their preclinical utility in evaluating novel RSV therapeutic agents.
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Affiliation(s)
- Michael P Citron
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States.
| | - Xiaowei Zang
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - Andrew Leithead
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - Shi Meng
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - William A Rose Ii
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - Edward Murray
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - Jane Fontenot
- The University of Louisiana New Iberia Research Center, New Iberia, LA 70560, United States
| | - John P Bilello
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - Douglas C Beshore
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
| | - John A Howe
- Discovery, Preclinical and Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States
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4
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Singh G, García-Bernalt Diego J, Warang P, Park SC, Chang LA, Noureddine M, Laghlali G, Bykov Y, Prellberg M, Yan V, Singh S, Pache L, Cuadrado-Castano S, Webb B, García-Sastre A, Schotsaert M. Outcome of SARS-CoV-2 reinfection depends on genetic background in female mice. Nat Commun 2024; 15:10178. [PMID: 39580470 PMCID: PMC11585546 DOI: 10.1038/s41467-024-54334-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 11/06/2024] [Indexed: 11/25/2024] Open
Abstract
Antigenically distinct SARS-CoV-2 variants increase the reinfection risk for vaccinated and previously exposed population due to antibody neutralization escape. COVID-19 severity depends on many variables, including host immune responses, which differ depending on genetic predisposition. To address this, we perform immune profiling of female mice with different genetic backgrounds -transgenic K18-hACE2 and wild-type 129S1- infected with the severe B.1.351, 30 days after exposure to the milder BA.1 or severe H1N1. Prior BA.1 infection protects against B.1.351-induced morbidity in K18-hACE2 but aggravates disease in 129S1. H1N1 protects against B.1.351-induced morbidity only in 129S1. Enhanced severity in B.1.351 re-infected 129S1 is characterized by an increase of IL-10, IL-1β, IL-18 and IFN-γ, while in K18-hACE2 the cytokine profile resembles naïve mice undergoing their first viral infection. Enhanced pathology during 129S1 reinfection cannot be attributed to weaker adaptive immune responses to BA.1. Infection with BA.1 causes long-term differential remodeling and transcriptional changes in the bronchioalveolar CD11c+ compartment. K18-hACE2 CD11c+ cells show a strong antiviral defense expression profile whereas 129S1 CD11c+ cells present a more pro-inflammatory response upon restimulation. In conclusion, BA.1 induces cross-reactive adaptive immune responses in K18-hACE2 and 129S1, but reinfection outcome correlates with differential CD11c+ cells responses in the alveolar space.
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Affiliation(s)
- Gagandeep Singh
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
| | - Juan García-Bernalt Diego
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
| | - Prajakta Warang
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
| | - Seok-Chan Park
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
| | - Lauren A Chang
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Moataz Noureddine
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriel Laghlali
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Department of Pharmaceutics, Ghent University, Ghent, Belgium
| | - Yonina Bykov
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Prellberg
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vivian Yan
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarabjot Singh
- RT-PCR COVID-19 Laboratory, Civil Hospital, Moga, Punjab, India
| | - Lars Pache
- NCI Designated Cancer Center, Sanford-Burnham Prebys Medical Discovery Institute, 10901 N Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Sara Cuadrado-Castano
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Lipschultz Precision Immunology Institute (PrIISM), Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brett Webb
- Department of Veterinary Sciences, University of Wyoming, Laramie, WY, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA
| | - Michael Schotsaert
- Department of Microbiology, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai New York, New York, NY, USA.
- Lipschultz Precision Immunology Institute (PrIISM), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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5
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Zheng HY, Song TZ, Zheng YT. Immunobiology of COVID-19: Mechanistic and therapeutic insights from animal models. Zool Res 2024; 45:747-766. [PMID: 38894519 PMCID: PMC11298684 DOI: 10.24272/j.issn.2095-8137.2024.062] [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: 02/23/2024] [Accepted: 04/22/2024] [Indexed: 06/21/2024] Open
Abstract
The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019 (COVID-19) immunobiology, often resulting in a lack of reproducibility when extrapolated to the whole organism. Consequently, developing animal models is imperative for a comprehensive understanding of the pathology and immunology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This review summarizes current progress related to COVID-19 animal models, including non-human primates (NHPs), mice, and hamsters, with a focus on their roles in exploring the mechanisms of immunopathology, immune protection, and long-term effects of SARS-CoV-2 infection, as well as their application in immunoprevention and immunotherapy of SARS-CoV-2 infection. Differences among these animal models and their specific applications are also highlighted, as no single model can fully encapsulate all aspects of COVID-19. To effectively address the challenges posed by COVID-19, it is essential to select appropriate animal models that can accurately replicate both fatal and non-fatal infections with varying courses and severities. Optimizing animal model libraries and associated research tools is key to resolving the global COVID-19 pandemic, serving as a robust resource for future emerging infectious diseases.
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Affiliation(s)
- Hong-Yi Zheng
- State Key Laboratory of Genetic Evolution & Animal Models, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Tian-Zhang Song
- State Key Laboratory of Genetic Evolution & Animal Models, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Yong-Tang Zheng
- State Key Laboratory of Genetic Evolution & Animal Models, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China. E-mail:
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6
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Collins CP, Longo DL, Murphy WJ. The immunobiology of SARS-CoV-2 infection and vaccine responses: potential influences of cross-reactive memory responses and aging on efficacy and off-target effects. Front Immunol 2024; 15:1345499. [PMID: 38469293 PMCID: PMC10925677 DOI: 10.3389/fimmu.2024.1345499] [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: 11/27/2023] [Accepted: 02/12/2024] [Indexed: 03/13/2024] Open
Abstract
Immune responses to both SARS-CoV-2 infection and its associated vaccines have been highly variable within the general population. The increasing evidence of long-lasting symptoms after resolution of infection, called post-acute sequelae of COVID-19 (PASC) or "Long COVID," suggests that immune-mediated mechanisms are at play. Closely related endemic common human coronaviruses (hCoV) can induce pre-existing and potentially cross-reactive immunity, which can then affect primary SARS-CoV-2 infection, as well as vaccination responses. The influence of pre-existing immunity from these hCoVs, as well as responses generated from original CoV2 strains or vaccines on the development of new high-affinity responses to CoV2 antigenic viral variants, needs to be better understood given the need for continuous vaccine adaptation and application in the population. Due in part to thymic involution, normal aging is associated with reduced naïve T cell compartments and impaired primary antigen responsiveness, resulting in a reliance on the pre-existing cross-reactive memory cell pool which may be of lower affinity, restricted in diversity, or of shorter duration. These effects can also be mediated by the presence of down-regulatory anti-idiotype responses which also increase in aging. Given the tremendous heterogeneity of clinical data, utilization of preclinical models offers the greatest ability to assess immune responses under a controlled setting. These models should now involve prior antigen/viral exposure combined with incorporation of modifying factors such as age on immune responses and effects. This will also allow for mechanistic dissection and understanding of the different immune pathways involved in both SARS-CoV-2 pathogen and potential vaccine responses over time and how pre-existing memory responses, including potential anti-idiotype responses, can affect efficacy as well as potential off-target effects in different tissues as well as modeling PASC.
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Affiliation(s)
- Craig P. Collins
- Graduate Program in Immunology, University of California (UC) Davis, Davis, CA, United States
| | - Dan L. Longo
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, United States
| | - William J. Murphy
- Departments of Dermatology and Internal Medicine (Hematology/Oncology), University of California (UC) Davis School of Medicine, Sacramento, CA, United States
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7
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Cruz Cisneros MC, Anderson EJ, Hampton BK, Parotti B, Sarkar S, Taft-Benz S, Bell TA, Blanchard M, Dillard JA, Dinnon KH, Hock P, Leist SR, Madden EA, Shaw GD, West A, Baric RS, Baxter VK, Pardo-Manuel de Villena F, Heise MT, Ferris MT. Host Genetic Variation Impacts SARS-CoV-2 Vaccination Response in the Diversity Outbred Mouse Population. Vaccines (Basel) 2024; 12:103. [PMID: 38276675 PMCID: PMC10821422 DOI: 10.3390/vaccines12010103] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
The COVID-19 pandemic led to the rapid and worldwide development of highly effective vaccines against SARS-CoV-2. However, there is significant individual-to-individual variation in vaccine efficacy due to factors including viral variants, host age, immune status, environmental and host genetic factors. Understanding those determinants driving this variation may inform the development of more broadly protective vaccine strategies. While host genetic factors are known to impact vaccine efficacy for respiratory pathogens such as influenza and tuberculosis, the impact of host genetic variation on vaccine efficacy against COVID-19 is not well understood. To model the impact of host genetic variation on SARS-CoV-2 vaccine efficacy, while controlling for the impact of non-genetic factors, we used the Diversity Outbred (DO) mouse model. We found that DO mice immunized against SARS-CoV-2 exhibited high levels of variation in vaccine-induced neutralizing antibody responses. While the majority of the vaccinated mice were protected from virus-induced disease, similar to human populations, we observed vaccine breakthrough in a subset of mice. Importantly, we found that this variation in neutralizing antibody, virus-induced disease, and viral titer is heritable, indicating that the DO serves as a useful model system for studying the contribution of genetic variation of both vaccines and disease outcomes.
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Affiliation(s)
- Marta C. Cruz Cisneros
- Genetics and Molecular Biology Curriculum, University of North Carolina, Chapel Hill, NC 27599, USA; (M.C.C.C.); (B.K.H.)
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Elizabeth J. Anderson
- Division of Comparative Medicine, University of North Carolina, Chapel Hill, NC 27599, USA; (E.J.A.); (V.K.B.)
| | - Brea K. Hampton
- Genetics and Molecular Biology Curriculum, University of North Carolina, Chapel Hill, NC 27599, USA; (M.C.C.C.); (B.K.H.)
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Breantié Parotti
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Sanjay Sarkar
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Sharon Taft-Benz
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Timothy A. Bell
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Matthew Blanchard
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Jacob A. Dillard
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
| | - Kenneth H. Dinnon
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
| | - Pablo Hock
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Sarah R. Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (S.R.L.)
| | - Emily A. Madden
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
| | - Ginger D. Shaw
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
| | - Ande West
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (S.R.L.)
| | - Ralph S. Baric
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (S.R.L.)
| | - Victoria K. Baxter
- Division of Comparative Medicine, University of North Carolina, Chapel Hill, NC 27599, USA; (E.J.A.); (V.K.B.)
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Fernando Pardo-Manuel de Villena
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Mark T. Heise
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA; (J.A.D.); (E.A.M.); (R.S.B.)
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Martin T. Ferris
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; (B.P.); (S.S.); (S.T.-B.); (T.A.B.); (M.B.); (P.H.); (G.D.S.); (F.P.-M.d.V.); (M.T.H.)
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Singh G, Warang P, García-Bernalt Diego J, Chang L, Bykov Y, Singh S, Pache L, Cuadrado-Castano S, Webb B, Garcia-Sastre A, Schotsaert M. Host immune responses associated with SARS-CoV-2 Omicron infection result in protection or pathology during reinfection depending on mouse genetic background. RESEARCH SQUARE 2023:rs.3.rs-3637405. [PMID: 38077015 PMCID: PMC10705603 DOI: 10.21203/rs.3.rs-3637405/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Rapid emergence of antigenic distinct SARS-CoV-2 variants implies a greater risk of reinfection as viruses can escape neutralizing antibodies induced by vaccination or previous viral exposure. Disease severity during COVID-19 depends on many variables such as age-related comorbidities, host immune status and genetic variation. The host immune response during infection with SARS-CoV-2 may contribute to disease severity, which can range from asymptomatic to severe with fatal outcome. Furthermore, the extent of host immune response activation may rely on underlying genetic predisposition for disease or protection. To address these questions, we performed immune profiling studies in mice with different genetic backgrounds - transgenic K18-hACE2 and wild-type 129S1 mice - subjected to reinfection with the severe disease-causing SARS-CoV-2 B.1.351 variant, 30 days after experimental milder BA.1 infection. BA.1 preinfection conferred protection against B.1.351-induced morbidity in K18-hACE2 mice but aggravated disease in 129S1 mice. We found that he cytokine/chemokine profile in B.1.351 re-infected 129S1mice is similar to that during severe SARS-CoV-2 infection in humans and is characterized by a much higher level of IL-10, IL-1β, IL-18 and IFN-γ, whereas in B.1.351 re-infected K18-hACE2 mice, the cytokine profile echoes the signature of naïve mice undergoing viral infection for the first time. Interestingly, the enhanced pathology observed in 129S1 mice upon reinfection cannot be attributed to a less efficient induction of adaptive immune responses to the initial BA.1 infection, as both K18-hACE2 and 129S1 mice exhibited similar B and T cell responses at 30 DPI against BA.1, with similar anti-BA.1 or B.1.351 spike-specific ELISA binding titers, levels of germinal center B-cells, and SARS-CoV-2-Spike specific tissue-resident T-cells. Long-term effects of BA.1 infection are associated with differential transcriptional changes in bronchoalveolar lavage-derived CD11c + immune cells from K18-hACE2 and 129S1, with K18-hACE2 CD11c + cells showing a strong antiviral defense gene expression profile whereas 129S1 CD11c + cells showed a more pro-inflammatory response. In conclusion, initial infection with BA.1 induces cross-reactive adaptive immune responses in both K18-hACE2 and 129S1 mice, however the different disease outcome of reinfection seems to be driven by differential responses of CD11c + cells in the alveolar space.
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Affiliation(s)
| | | | | | | | | | - Sarabjot Singh
- RT-PCR COVID-19 Laboratory, Civil Hospital, Moga, Punjab, India
| | - Lars Pache
- Sanford Burnham Prebys Medical Discovery Institute
| | | | - Brett Webb
- Department of Veterinary Sciences, University of Wyoming
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9
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Lau CY, Martinez-Orengo N, Lyndaker A, Flavahan K, Johnson RF, Shah S, Hammoud DA. Advances and Challenges in Molecular Imaging of Viral Infections. J Infect Dis 2023; 228:S270-S280. [PMID: 37788495 PMCID: PMC10547465 DOI: 10.1093/infdis/jiad247] [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: 10/05/2023] Open
Abstract
Molecular imaging of viral infection, using a variety of advanced imaging techniques such as optical and nuclear imaging, can and has been used for direct visualization of the virus as well as assessment of virus-host interactions. Unlike imaging of other pathogens such as bacteria and fungi, challenging aspects of imaging viral infections include the small size of viruses, the complexity of viral infection animal models (eg, species dependence), and the high-level containment needs for many high-consequence pathogens, among others. In this review, using representative viral infections, we discuss how molecular imaging can reveal real-time infection dynamics, improve our understanding of disease pathogenesis, and guide optimization of treatment and prevention strategies. Key findings from human and animal studies are highlighted.
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Affiliation(s)
- Chuen-Yen Lau
- HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Neysha Martinez-Orengo
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Anna Lyndaker
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Kelly Flavahan
- Center for Infection and Inflammation Imaging Research, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Reed F Johnson
- SARS-CoV-2 Virology Core, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Swati Shah
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Dima A Hammoud
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
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10
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Blacksell SD, Dhawan S, Kusumoto M, Le KK, Summermatter K, O'Keefe J, Kozlovac J, Almuhairi SS, Sendow I, Scheel CM, Ahumibe A, Masuku ZM, Kojima K, Harper DR, Hamilton K. The Biosafety Research Road Map: The Search for Evidence to Support Practices in the Laboratory-SARS-CoV-2. APPLIED BIOSAFETY 2023; 28:87-95. [PMID: 37342515 PMCID: PMC10278019 DOI: 10.1089/apb.2022.0039] [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] [Indexed: 06/23/2023]
Abstract
Introduction The SARS-CoV-2 virus emerged as a novel virus and is the causative agent of the COVID-19 pandemic. It spreads readily human-to-human through droplets and aerosols. The Biosafety Research Roadmap aims to support the application of laboratory biological risk management by providing an evidence base for biosafety measures. This involves assessing the current biorisk management evidence base, identifying research and capability gaps, and providing recommendations on how an evidence-based approach can support biosafety and biosecurity, including in low-resource settings. Methods A literature search was conducted to identify potential gaps in biosafety and focused on five main sections, including the route of inoculation/modes of transmission, infectious dose, laboratory-acquired infections, containment releases, and disinfection and decontamination strategies. Results There are many knowledge gaps related to biosafety and biosecurity due to the SARS-CoV-2 virus's novelty, including infectious dose between variants, personal protective equipment for personnel handling samples while performing rapid diagnostic tests, and laboratory-acquired infections. Detecting vulnerabilities in the biorisk assessment for each agent is essential to contribute to the improvement and development of laboratory biosafety in local and national systems.
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Affiliation(s)
- Stuart D. Blacksell
- Mahidol-Oxford Tropical Research Medicine Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Nuffield Department of Medicine Research Building, University of Oxford, Oxford, United Kingdom
| | - Sandhya Dhawan
- Mahidol-Oxford Tropical Research Medicine Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Marina Kusumoto
- Mahidol-Oxford Tropical Research Medicine Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Kim Khanh Le
- Mahidol-Oxford Tropical Research Medicine Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | - Joseph O'Keefe
- Ministry for Primary Industries, Wellington, New Zealand
| | - Joseph Kozlovac
- U.S. Department of Agriculture, Agricultural Research Service, Beltsville, Maryland, USA
| | | | - Indrawati Sendow
- Research Center for Veterinary Science, National Research and Innovation Agency, Indonesia
| | - Christina M. Scheel
- WHO Collaborating Center for Biosafety and Biosecurity, Office of the Associate Director for Laboratory Science, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Anthony Ahumibe
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Zibusiso M. Masuku
- National Institute for Communicable Diseases of the National Health Laboratory Services, Sandringham, South Africa
| | - Kazunobu Kojima
- Department of Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland
| | - David R. Harper
- The Royal Institute of International Affairs, London, United Kingdom
| | - Keith Hamilton
- World Organisation for Animal Health (OIE), Paris, France
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11
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Tandjaoui-Lambiotte Y, Lomont A, Moenne-Locoz P, Seytre D, Zahar JR. Spread of viruses, which measures are the most apt to control COVID-19? Infect Dis Now 2023; 53:104637. [PMID: 36526247 PMCID: PMC9746078 DOI: 10.1016/j.idnow.2022.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 11/22/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022]
Abstract
The persistent debate about the modes of transmission of SARS-CoV2 and preventive measures has illustrated the limits of our knowledge regarding the measures to be implemented in the face of viral risk. Past and present (pandemic-related) scientific data underline the complexity of the phenomenon and its variability over time. Several factors contribute to the risk of transmission, starting with incidence in the general population (i.e., colonization pressure) and herd immunity. Other major factors include intensity of symptoms, interactions with the reservoir (proximity and duration of contact), the specific characteristics of the virus(es) involved, and a number of unpredictable elements (humidity, temperature, ventilation…). In this review, we will emphasize the difficulty of "standardizing" the situations that might explain the discrepancies found in the literature. We will show that the airborne route remains the main mode of transmission. Regarding preventive measures of prevention, while vaccination remains the cornerstone of the fight against viral outbreaks, we will remind the reader that wearing a mask is the main barrier measure and that the choice of type of mask depends on the risk situations. Finally, we believe that the recent pandemic should induce us in the future to modify our recommendations by adapting our measures in hospitals, not to the pathogen concerned, which is currently the case, but rather to the type of at-risk situation.
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Affiliation(s)
- Y Tandjaoui-Lambiotte
- Service de Pneumologie-Infectiologie, CH Saint Denis, 2 rue Dr. Delafontaine, 93200, France
| | - A Lomont
- Unité de Prévention du Risque Infectieux, Service de microbiologie clinique, GHU Paris Seine Saint-Denis, Université Sorbonne Paris Nord, France
| | - P Moenne-Locoz
- Unité de Prévention du Risque Infectieux, Service de microbiologie clinique, GHU Paris Seine Saint-Denis, Université Sorbonne Paris Nord, France
| | - D Seytre
- Unité de Prévention du Risque Infectieux, Service de microbiologie clinique, GHU Paris Seine Saint-Denis, Université Sorbonne Paris Nord, France
| | - J R Zahar
- Unité de Prévention du Risque Infectieux, Service de microbiologie clinique, GHU Paris Seine Saint-Denis, Université Sorbonne Paris Nord, France.
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12
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Tiwari S, Goel G, Kumar A. Natural and genetically-modified animal models to investigate pulmonary and extrapulmonary manifestations of COVID-19. Int Rev Immunol 2022; 43:13-32. [PMID: 35757923 DOI: 10.1080/08830185.2022.2089666] [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: 04/07/2022] [Accepted: 06/09/2022] [Indexed: 10/17/2022]
Abstract
Coronavirus disease-19 (COVID-19), a pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), is a primarily respiratory tract disease. Suitable animal models for COVID-19 are required to study various aspects of pathogenesis, drug discovery, effective and safe vaccine development. Several laboratory animals including, non-human primates, hamsters, ferrets, transgenic mice, and zebrafish, have been used and proven their significance experimentally. Currently available animal models of SARS-CoV-2 can be broadly classified into two categories 1) natural animal models 2) genetically-modified that exhibit different degrees of susceptibility of SARS-CoV-2, tissue damage in respiratory and other organ systems. Not all the available animal models mimic COVID-19-like phenotype completely. Therefore, understanding various aspects of COVID-19 requires different animal models. In this review article, we provide an update on the immune response and clinical manifestations observed in naturally occurring and genetically-modified animals of COVID-19. We then review the transmission, viral replication, lung pathology, immunological aspects, and extrapulmonary phenotypes observed in various animal models. In the end, we put forth our perspective on the anticipated uses, disadvantages, and limitations of each type of animal model.
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Affiliation(s)
- Shikha Tiwari
- Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, India
| | - Garima Goel
- Department of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Bhopal, India
| | - Ashok Kumar
- Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, India
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