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Review
. 2024 Feb;21(2):119-133.
doi: 10.1038/s41423-023-01122-w. Epub 2024 Jan 18.

SARS-CoV-2 immunity in animal models

Affiliations
Review

SARS-CoV-2 immunity in animal models

Zhao Chen et al. Cell Mol Immunol. 2024 Feb.

Abstract

The COVID-19 pandemic, which was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a worldwide health crisis due to its transmissibility. SARS-CoV-2 infection results in severe respiratory illness and can lead to significant complications in affected individuals. These complications encompass symptoms such as coughing, respiratory distress, fever, infectious shock, acute respiratory distress syndrome (ARDS), and even multiple-organ failure. Animal models serve as crucial tools for investigating pathogenic mechanisms, immune responses, immune escape mechanisms, antiviral drug development, and vaccines against SARS-CoV-2. Currently, various animal models for SARS-CoV-2 infection, such as nonhuman primates (NHPs), ferrets, hamsters, and many different mouse models, have been developed. Each model possesses distinctive features and applications. In this review, we elucidate the immune response elicited by SARS-CoV-2 infection in patients and provide an overview of the characteristics of various animal models mainly used for SARS-CoV-2 infection, as well as the corresponding immune responses and applications of these models. A comparative analysis of transcriptomic alterations in the lungs from different animal models revealed that the K18-hACE2 and mouse-adapted virus mouse models exhibited the highest similarity with the deceased COVID-19 patients. Finally, we highlighted the current gaps in related research between animal model studies and clinical investigations, underscoring lingering scientific questions that demand further clarification.

Keywords: COVID-19; SARS-CoV-2; animal models; immune response.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Transcriptomic comparison of COVID-19 patients and animal models. A KEGG enrichment analysis of genes with upregulated expression in COVID-19 patients and animal models. Differentially expressed genes (DEGs) were computed for each comparison against their respective controls. Specifically, the genes with upregulated expression were subjected to Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis using clusterProfiler [216]. B For the purpose of similarity comparison, the KEGG enrichment results were dichotomized based on significance (P ≤ 0.05 represented as 1, and P > 0.05 represented 0). Subsequently, Pearson correlation coefficients were calculated for the dichotomized matrix and visualized using ggplot2

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