Dataset Information

Human Adenovirus and Influenza A Virus Exacerbate SARS-CoV-2 Infection in Animal Models.

ABSTRACT: In this study, we investigated the features of the infectious process by simulating co-infection with SARS-CoV-2 and human adenovirus type 5 (HAdV-5) or influenza A virus (IAV) in vitro and in vivo. The determination of infectious activity of viruses and digital PCR demonstrated that during simultaneous and sequential HAdV-5 followed by SARS-CoV-2 infection in vitro and in vivo, the HAdV-5 infection does not interfere with replication of SARS-CoV-2. The hamsters co-infected and mono-infected with SARS-CoV-2 exhibited nearly identical viral titers and viral loads of SARS-CoV-2 in the lungs. The hamsters and ferrets co-infected by SARS-CoV-2- and IAV demonstrated more pronounced clinical manifestations than mono-infected animals. Additionally, the lung histological data illustrate that HAdV-5 or IAV and SARS-CoV-2 co-infection induces more severe pathological changes in the lungs than mono-infection. The expression of several genes specific to interferon and cytokine signaling pathways in the lungs of co-infected hamsters was more upregulated compared to single infected with SARS-CoV-2 animals. Thus, co-infection with HAdV-5 or IAV and SARS-CoV-2 leads to more severe pulmonary disease in animals.

SUBMITTER: Svyatchenko VA

PROVIDER: S-EPMC9860643 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Human Adenovirus and Influenza A Virus Exacerbate SARS-CoV-2 Infection in Animal Models.

Svyatchenko Victor A VA Ternovoi Vladimir A VA Lutkovskiy Roman Y RY Protopopova Elena V EV Gudymo Andrei S AS Danilchenko Nataliya V NV Susloparov Ivan M IM Kolosova Nataliya P NP Ryzhikov Alexander B AB Taranov Oleg S OS Omigov Vladimir V VV Gavrilova Elena V EV Agafonov Alexander P AP Maksyutov Rinat A RA Loktev Valery B VB

Microorganisms 20230111 1

In this study, we investigated the features of the infectious process by simulating co-infection with SARS-CoV-2 and human adenovirus type 5 (HAdV-5) or influenza A virus (IAV) in vitro and in vivo. The determination of infectious activity of viruses and digital PCR demonstrated that during simultaneous and sequential HAdV-5 followed by SARS-CoV-2 infection in vitro and in vivo, the HAdV-5 infection does not interfere with replication of SARS-CoV-2. The hamsters co-infected and mono-infected wit ...[more]

PMID: 36677472

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Project description:BackgroundThe continuing emergence of influenza virus has highlighted the value of public databases and related bioinformatic analysis tools in investigating transcriptomic change caused by different influenza virus infections in human and animal models.MethodsWe collected a large amount of transcriptome research data related to influenza virus-infected human and animal models in public databases (GEO and ArrayExpress), and extracted and integrated array and metadata. The gene expression matrix was generated through strictly quality control, balance, standardization, batch correction, and gene annotation. We then analyzed gene expression in different species, virus, cells/tissues or after antibody/vaccine treatment and imported sample metadata and gene expression datasets into the database.ResultsOverall, maintaining careful processing and quality control, we collected 8064 samples from 103 independent datasets, and constructed a comparative transcriptomics database of influenza virus named the Flu-CED database (Influenza comparative expression database, https://flu.com-med.org.cn/). Using integrated and processed transcriptomic data, we established a user-friendly website for realizing the integration, online retrieval, visualization, and exploration of gene expression of influenza virus infection in different species and the biological functions involved in differential genes. Flu-CED can quickly query single and multi-gene expression profiles, combining different experimental conditions for comparative transcriptome analysis, identifying differentially expressed genes (DEGs) between comparison groups, and conveniently finding DEGs.ConclusionFlu-CED provides data resources and tools for analyzing gene expression in human and animal models infected with influenza virus that can deepen our understanding of the mechanisms underlying disease occurrence and development, and enable prediction of key genes or therapeutic targets that can be used for medical research.

Dataset Information

Human Adenovirus and Influenza A Virus Exacerbate SARS-CoV-2 Infection in Animal Models.

Publications

Human Adenovirus and Influenza A Virus Exacerbate SARS-CoV-2 Infection in Animal Models.

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