Evidence map›Paper›PMID 36423193›Full record

ArticleViruses2022

Characterization of Three Variants of SARS-CoV-2 In Vivo Shows Host-Dependent Pathogenicity in Hamsters, While Not in K18-hACE2 Mice.

Gabriela Toomer, Whitney Burns, Liliana Garcia, Gerelyn Henry, Anthony Biancofiori, Albert George, Ciera Duffy, Justin Chu, Morgan Sides, Melissa Muñoz and 5 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  6. Article
  7. Article
  8. Article
  9. Longitudinal analyses usingAntiviral research · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Gabriela ToomerDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Whitney BurnsDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Liliana GarciaDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Gerelyn HenryDepartment of Pathology, Charles River Laboratories, Inc., Chicago, IL 60077, USA.
Anthony BiancofioriDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Albert GeorgeDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Ciera DuffyDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Justin ChuDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Morgan SidesDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Melissa MuñozDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Kelly GarciaDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Anya Nikolai-YogerstDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Xinjian PengDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Landon WestfallDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Robert BakerDivision of Microbiology and Molecular Biology, Illinois Institute of Technology Research Institute (IITRI), Chicago, IL 60616, USA.
Illinois Institute of Technology · USIIT Research Institute · USCharles River Laboratories (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal models are used in preclinical trials to test vaccines, antivirals, monoclonal antibodies, and immunomodulatory drug therapies against SARS-CoV-2. However, these drugs often do not produce equivalent results in human clinical trials. Here, we show how different animal models infected with some of the most clinically relevant SARS-CoV-2 variants, WA1/2020, B.1.617.2/Delta, B.1.1.529/Omicron, and BA5.2/Omicron, have independent outcomes. We show that in K18-hACE2 mice, B.1.617.2 is more pathogenic, followed by WA1, while B.1.1.529 showed an absence of clinical signs. Only B.1.1.529 was able to infect C57BL/6J mice, which lack the human ACE2 receptor. B.1.1.529-infected C57BL/6J mice had different T cell profiles compared to infected K18-hACE2 mice, while viral shedding profiles and viral titers in lungs were similar between the K18-hACE2 and the C57BL/6J mice. These data suggest B.1.1.529 virus adaptation to a new host and shows that asymptomatic carriers can accumulate and shed virus. Next, we show how B.1.617.2, WA1 and BA5.2/Omicron have similar viral replication kinetics, pathogenicity, and viral shedding profiles in hamsters, demonstrating that the increased pathogenicity of B.1.617.2 observed in mice is host-dependent. Overall, these findings suggest that small animal models are useful to parallel human clinical data, but the experimental design places an important role in interpreting the data. Importance: There is a need to investigate SARS-CoV-2 variant phenotypes in different animal models due to the lack of reproducible outcomes when translating experiments to the human population. Our findings highlight the correlation of clinically relevant SARS-CoV-2 variants in animal models with human infections. Experimental design and understanding of correct animal models are essential to interpreting data to develop antivirals, vaccines, and other therapeutic compounds against COVID-19.

Indexed as

COVID-19SARS-CoV-2AnimalsAntiviral AgentsCricetinaeDisease Models, Animalgamma-GlobulinsHumansMelphalanMiceMice, Inbred C57BLVirulenceAntiviral Agentsgamma-GlobulinsK-18 conjugateMelphalanactivation-induced memory (AIM)animal modelsCOVID-19cytokinesDelta B.1.617.2K18-hACE2 miceLD50 survivalmemory T cellsOmicron B.1.1.529Omicron BA5.2SARS-CoV-2Syrian hamsterT cellsWA1/2020

Identifiers

PMID36423193
PMCPMC9693146
OpenAlexW4309720294

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.