Evidence map›Paper›PMID 39861889›Full record

ReviewViruses2025

Animal Models for Human-Pathogenic Coronavirus and Animal Coronavirus Research.

Fenglian Xiao, Jincheng Hu, Minsheng Xu, Di Wang, Xiaoyan Shen, Hua Zhang, Jie Miao, Haodong Cai, Jihui Wang, Yaqing Liu and 2 more

Abstract readReview
In one paragraph

Review in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Fenglian XiaoSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Jincheng HuSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Minsheng XuSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Di WangSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Xiaoyan ShenSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Hua ZhangSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Jie MiaoSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Haodong CaiSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Jihui WangSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Yaqing LiuSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Shan XiaoSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.
Longchao ZhuSchool of Life and Health Technology, Dongguan University of Technology, Dongguan 523808, China.

Funding

Guangdong Province Educational Science Research Program 2022GXJK381National Natural Science Foundation of China 32273099Research Start-up Fund for Talents at Dongguan University of Technology 221110313
6 · The paper itself

Abstract

Coronavirus epidemics have posed a serious threat to both human and animal health. To combat emerging infectious diseases caused by coronaviruses, various animal infection models have been developed and applied in research, including non-human primate models, ferret models, hamster models, mouse models, and others. Moreover, new approaches have been utilized to develop animal models that are more susceptible to infection. These approaches include using viral delivery methods to induce the expression of viral receptors in mouse tissues and employing gene-editing techniques to create genetically modified mice. This has led to the successful establishment of infection models for multiple coronaviruses, significantly advancing related research. In contrast, livestock and pets that can be infected by animal coronaviruses provide valuable insights when used as infection models, enabling the collection of accurate clinical data through the analysis of post-infection pathological features. However, despite the potential insights, there is a paucity of research data pertaining to these infection models. In this review, we provide a detailed overview of recent progress in the development of animal models for coronaviruses that cause diseases in both humans and animals and suggest ways in which animal models can be adapted to further enhance their value in research.

Indexed as

CoronavirusCoronavirus InfectionsDisease Models, AnimalAnimalsCricetinaeFerretsHumansMiceanimalanimal modelclinical manifestationscoronavirushumaninfection

Identifiers

PMID39861889
PMCPMC11768759

What Socratic 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 Socratic graph.