Evidence map›Paper›PMID 39609461›Full record

ArticleScientific reports2024

COVID-AMD database for coronavirus-infected animal models with comparative analysis tools.

Yue Wu, Lu Li, Kai Wang, Yang Zhang, Jue Wang, Ting-Ting Feng, Yi-Tong Li, Qi Kong

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yue Wu *Institute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Beijing, 100021, China.
Lu Li *Nutshell Therapeutics (Shanghai) Co., Ltd, 201210, Shanghai, China.
Kai WangNutshell Therapeutics (Shanghai) Co., Ltd, 201210, Shanghai, China.
Yang ZhangNutshell Therapeutics (Shanghai) Co., Ltd, 201210, Shanghai, China.
Jue WangInstitute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Beijing, 100021, China.
Ting-Ting FengInstitute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Beijing, 100021, China.
Yi-Tong LiInstitute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Beijing, 100021, China.
Qi KongInstitute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Beijing, 100021, China. kongqi@cnilas.org.

Funding

Beijing Municipal Natural Science Foundation M21027Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2021-I2M-1-035the National Key Research and Development Program of China 2021YFF0702800
6 · The paper itself

Abstract

Respiratory infections caused by coronaviruses have posed serious and unpredictably public health threats; reliable animal models continue to be essential for advancing our understanding of the virus's transmission, pathophysiology, and immunological mechanisms. In response to the critical need for centralized resources in coronavirus research, the COVID-AMD database (Coronavirus Disease Animal Model Database, https://www.uc-med.net/CoV-AMD ) has been developed as an integrated platform. Data was gathered from public literature databases, refined and integrated using ETL (Extract, Transform, Load) methodology. After data conversion and cleaning, COVID-AMD was implemented using MySQL relational database with jQuery and JBoss. COVID-AMD database consolidates comprehensive data on animal models infected with various CoVs, including MERS-CoV, SARS-CoV, and SARS-CoV-2, featuring methodologies for establishing infection models, clinical features, and phenotypic data. It catalogs 869 animal models across 29 species and 312 virus strains, covering five diseases and ten infection routes. With global and advanced search capabilities, it facilitated data preprocessing, integration, analysis, and visualization, and provided tools for comparative analysis, model recommendation and omics analysis based on model and phenotype data. The open access to this rich repository aims to enable rapid identification of animal models for CoVs, thereby accelerating the development and clinical trial progression of prospective therapeutics and vaccines.

Indexed as

COVID-19Databases, FactualDisease Models, AnimalSARS-CoV-2AnimalsHumansMiddle East Respiratory Syndrome CoronavirusBioinformaticsComparative analysisCoronavirus disease animal modelsCOVID-19Database

Identifiers

PMID39609461
PMCPMC11605124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.