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Influenza A virus replicates productively in primary human kidney cells and induces factors and mechanisms related to regulated cell death and renal pathology observed in virus-infected patients

ABSTRACT: Influenza A virus (IAV) infection can cause the often-lethal acute respiratory distress syndrome (ARDS) of the lung. Concomitantly, acute kidney injury (AKI) is frequently noticed during IAV infection, correlating with an increased mortality. The aim of this study was to elucidate the interaction of IAV with human kidney cells and, thereby, to assess the mechanisms underlying IAV-mediated AKI. We demonstrate productive replication of low and highly pathogenic IAV strains on primary and immortalized nephron cells. Comparison of our transcriptome and proteome analysis of H1N1-type IAV-infected human primary distal tubular cells (DTC) with existing data from H1N1-type IAV-infected lung and primary trachea cells revealed enrichment of specific factors responsible for regulated cell death in primary DTC, which could be targeted by specific inhibitors

ORGANISM(S): Homo sapiens

PROVIDER: GSE189735 | GEO | 2024/03/28

REPOSITORIES: GEO

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Project description:Background: Influenza A virus (IAV) is a segmented negative-stranded RNA virus that brings a potentially serious threat to public health and animal husbandry. Mast cells play an important role in both the inherent and adaptive immune response. Previous studies have indicated that mast cells support the productive replication of H1N1, H5N1, and H7N2. To date, the distinct molecular mechanism behind the pathogenesis in mast cells among the three different viruses has been poorly understood. Methods: We investigated the genomic profiles in detail and the dynamic change of genomes regulated by different subtypes of IAV in mouse mast cells using microassays in order to the distinct molecular mechanism behind the pathogenesis in mast cells among the three different viruses. Mouse mast cells (P815) were infected at a multiplicity of infection of 1 (infectious viruses/cell) and incubated for 12 hr before collection of total RNA and microarray anlaysis using the Affymetrix platforms. Any two of the three IAV-infected groups were compared to detect genomic distinct. Based on the results of microassays, the further verification was performed by real-time PCR and western blotting. Here, the mRNA levels of 5-HT, PKG and HIF-1 in P815 cells following H1N1, H5N1 and H7N2 infection were determined by real-time PCR. The protein levels of exosomes in P815 cells following H1N1, H5N1 and H7N2 infection were detected by western blotting. Results: Compared with any two of the three IAV-infected groups, much more diﬀerentially expressed genes (DEGs), cellular functions and signaling pathways were confirmd in H1N1 or H7N2 group, and H7N2 group showed the highest levels. However, few DEGs were detected as well as various cellular functions and signaling pathways were dramatically suppressed in H5N1 group. With an in-depth study on H1N1 and H7N2 group, we demonstrated the 5-HT signaling pathway and cGMP/PKG signaling pathway terms were enriched in P815 cells infected by H1N1 while HIF-1 signaling pathway terms were enriched in P815 cells infected by H7N2 virus. Furthermore, RT-qPCR results also showed significantly increased mRNA of 5-HT and PKG in H1N1-infected P815 cells as well as HIF-1 in H7N2-infected P815 cells. Besides, exosomes were highly secreted from H1N1-infected or H7N2-infected P815 cells. Conclusions: H1N1 and H7N2 viruses could result in a variety of DEGs in mast cells and activate various cellular functions and signaling pathways while H5N1 virus cause the few DEGs in mast cells as well as suppression of cellular functions and signaling pathways. Furthermore, 5-HT signaling pathway and cGMP/PKG signaling pathway were preferentially activated in P815 cells infected by H1N1 while HIF-1 signaling pathway were preferentially activated in P815 cells infected by H7N2 virus. In addition, exosomes were also preferentially secreted from H1N1-infected or H7N2-infected P815 cells that are potentially pivotal in innate immunity to fight IAV infection. The study provides novel information and insight into the distinct of molecular mechanism of H1N1, H5N1 and H7N2 viruses in mast cells from the perspective of genomic profiles.

Project description:Miao2010 - Innate and adaptive immune responses to primary Influenza A Virus infection This model is described in the article: Quantifying the early immune response and adaptive immune response kinetics in mice infected with influenza A virus. Miao H, Hollenbaugh JA, Zand MS, Holden-Wiltse J, Mosmann TR, Perelson AS, Wu H, Topham DJ. J. Virol. 2010 Jul; 84(13): 6687-6698 Abstract: Seasonal and pandemic influenza A virus (IAV) continues to be a public health threat. However, we lack a detailed and quantitative understanding of the immune response kinetics to IAV infection and which biological parameters most strongly influence infection outcomes. To address these issues, we use modeling approaches combined with experimental data to quantitatively investigate the innate and adaptive immune responses to primary IAV infection. Mathematical models were developed to describe the dynamic interactions between target (epithelial) cells, influenza virus, cytotoxic T lymphocytes (CTLs), and virus-specific IgG and IgM. IAV and immune kinetic parameters were estimated by fitting models to a large data set obtained from primary H3N2 IAV infection of 340 mice. Prior to a detectable virus-specific immune response (before day 5), the estimated half-life of infected epithelial cells is approximately 1.2 days, and the half-life of free infectious IAV is approximately 4 h. During the adaptive immune response (after day 5), the average half-life of infected epithelial cells is approximately 0.5 days, and the average half-life of free infectious virus is approximately 1.8 min. During the adaptive phase, model fitting confirms that CD8(+) CTLs are crucial for limiting infected cells, while virus-specific IgM regulates free IAV levels. This may imply that CD4 T cells and class-switched IgG antibodies are more relevant for generating IAV-specific memory and preventing future infection via a more rapid secondary immune response. Also, simulation studies were performed to understand the relative contributions of biological parameters to IAV clearance. This study provides a basis to better understand and predict influenza virus immunity. This model is hosted on BioModels Database and identified by: BIOMD0000000546. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Influenza A virus replicates productively in primary human kidney cells and induces factors and mechanisms related to regulated cell death and renal pathology observed in virus-infected patients

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