ReviewEuropean journal of immunology2021
Insights into coronavirus immunity taught by the murine coronavirus.
Review in European journal of immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Gut microbiota and pathobiont exposure influences disease incidence in non-obese diabetic mice.Frontiers in microbiology · 2026Article
- Article
- COVID-AMD database for coronavirus-infected animal models with comparative analysis tools.Scientific reports · 2024Article
- Remdesivir Derivative VV116 Is a Potential Broad-Spectrum Inhibitor of Both Human and Animal Coronaviruses.Viruses · 2023Article
- Discovery of a Druggable, Cryptic Pocket in SARS-CoV-2 nsp16 Using Allosteric Inhibitors.ACS infectious diseases · 2023Article
- An Innate Checkpoint Determines Immune Dysregulation and Immunopathology during Pulmonary Murine Coronavirus Infection.Journal of immunology (Baltimore, Md. : 1950) · 2023Article
- Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human-Coronavirus Family Interactome.Vaccines · 2023Article
- Article
- PD-1/PD-L1 blockade abrogates a dysfunctional innate-adaptive immune axis in critical β-coronavirus disease.Science advances · 2022Article
- Basic reproduction numbers of three strains of mouse hepatitis viruses in mice.Microbiology and immunology · 2022Article
- T cell responses to SARS-CoV-2 in humans and animals.Journal of microbiology (Seoul, Korea) · 2022Review
- Activation of TCA cycle restrains virus-metabolic hijacking and viral replication in mouse hepatitis virus-infected cells.Cell & bioscience · 2022Article
- Cross-species transmission, evolution and zoonotic potential of coronaviruses.Frontiers in cellular and infection microbiology · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Coronaviruses (CoVs) represent enveloped, ss RNA viruses with the ability to infect a range of vertebrates causing mainly lung, CNS, enteric, and hepatic disease. While the infection with human CoV is commonly associated with mild respiratory symptoms, the emergence of SARS-CoV, MERS-CoV, and SARS-CoV-2 highlights the potential for CoVs to cause severe respiratory and systemic disease. The devastating global health burden caused by SARS-CoV-2 has spawned countless studies seeking clinical correlates of disease severity and host susceptibility factors, revealing a complex network of antiviral immune circuits. The mouse hepatitis virus (MHV) is, like SARS-CoV-2, a beta-CoV and is endemic in wild mice. Laboratory MHV strains have been extensively studied to reveal coronavirus virulence factors and elucidate host mechanisms of antiviral immunity. These are reviewed here with the aim to identify translational insights for SARS-CoV-2 learned from murine CoVs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.