Evidence map›Paper›PMID 34735434›Full record

ArticlePLoS biology2021

Mouse-adapted SARS-CoV-2 protects animals from lethal SARS-CoV challenge.

Antonio Muruato, Michelle N Vu, Bryan A Johnson, Meredith E Davis-Gardner, Abigail Vanderheiden, Kumari Lokugamage, Craig Schindewolf, Patricia A Crocquet-Valdes, Rose M Langsjoen, Jessica A Plante and 9 more

Abstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
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

61 citing papers in PubMed.

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  15. CD4Science advances · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Antonio MuruatoDepartments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Michelle N VuDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Bryan A JohnsonDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0000-0002-8999-1255
Meredith E Davis-GardnerDepartment of Pediatrics, Emory Vaccine Center, Emory University School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0002-6133-3613
Abigail VanderheidenDepartment of Pediatrics, Emory Vaccine Center, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Kumari LokugamageDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Craig SchindewolfDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Patricia A Crocquet-ValdesDepartment of Pathology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Rose M LangsjoenDepartments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Jessica A PlanteDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0000-0002-4768-7458
Kenneth S PlanteDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Scott C WeaverDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Kari DebbinkDepartment of Natural Science, Bowie State University, Bowie, Maryland, United States of America.ORCID 0000-0001-7242-7845
Andrew L RouthDepartments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0000-0002-2874-5990
David WalkerDepartment of Pathology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Mehul S SutharDepartment of Pediatrics, Emory Vaccine Center, Emory University School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0002-2686-8380
Pei-Yong ShiDepartments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Xuping XieDepartments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, United States of America.
Vineet D MenacheryDepartments of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, United States of America.ORCID 0000-0001-8803-7606

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
Systems Biological Analysis of Innate and Adaptive Responses to VaccinationU19AI090023 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, LI, SHUZHAO · 2010 to 2021
$45.0M
World Reference Center for Emerging Viruses and Arboviruses (WRCEVA)R24AI120942 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI WEAVER, SCOTT C · 2016 to 2024
$8.5M
UTMB Clinical and Translational Science AwardTL1TR001440 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HOMMEL, JONATHAN DEAN · 2015 to 2024
$3.4M
EMERGING AND TROPICAL INFECTIOUS DISEASEST32AI007526 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI SOONG, LYNN · 1997 to 2025
$3.1M
Biodefense Training ProgramT32AI060549 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI ASHOK K CHOPRA, Janice J Endsley · 2004 to 2026
$3.0M
Identifying host and viral correlates for coronavirus pathogenesisR01AI153602 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI JOHNSON, BRYAN A · 2020 to 2023
$2.0M
Innate immune mechanisms of virologic control and recovery from flavivirus encephalitisR56AI147623 · NIAID · WASHINGTON UNIVERSITY · PI KLEIN, ROBYN S., SUTHAR, MEHUL SHAMAL · 2020 to 2020
$775k
The Host Genetics of Age-Dependent SusceptibilityR21AI145400 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI MENACHERY, VINEET D · 2020 to 2021
$451k
NCATS NIH HHS TL1 TR001440NIAID NIH HHS R01 AI153602NIAID NIH HHS R21 AI145400NIAID NIH HHS R24 AI120942NIAID NIH HHS R56 AI147623NIAID NIH HHS T32 AI007526NIAID NIH HHS T32 AI060549NIAID NIH HHS U19 AI090023NIH HHS P51 OD011132
6 · The paper itself

Abstract

The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a pandemic causing significant damage to public health and the economy. Efforts to understand the mechanisms of Coronavirus Disease 2019 (COVID-19) have been hampered by the lack of robust mouse models. To overcome this barrier, we used a reverse genetic system to generate a mouse-adapted strain of SARS-CoV-2. Incorporating key mutations found in SARS-CoV-2 variants, this model recapitulates critical elements of human infection including viral replication in the lung, immune cell infiltration, and significant in vivo disease. Importantly, mouse adaptation of SARS-CoV-2 does not impair replication in human airway cells and maintains antigenicity similar to human SARS-CoV-2 strains. Coupled with the incorporation of mutations found in variants of concern, CMA3p20 offers several advantages over other mouse-adapted SARS-CoV-2 strains. Using this model, we demonstrate that SARS-CoV-2-infected mice are protected from lethal challenge with the original Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV), suggesting immunity from heterologous Coronavirus (CoV) strains. Together, the results highlight the use of this mouse model for further study of SARS-CoV-2 infection and disease.

Indexed as

AnimalsCell LineCOVID-19COVID-19 VaccinesDisease Models, AnimalFemaleHumansLungMiceMice, Inbred BALB CReverse GeneticsSARS-CoV-2Serial PassageVirus ReplicationCOVID-19 Vaccines

Identifiers

PMID34735434
PMCPMC8594810

What OpenQuestion holds

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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.