Transcriptional profile from peripheral blood in patients infected with avian influenza H7N9 virus
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PROVIDER: PRJNA471498 | ENA |
REPOSITORIES: ENA
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Project description:Avian influenza A (H7N9) viruses have emerged in China in 2013 and caused zoonotic disease associated with a case-fatality ratio of over 30%. Transcriptional profile from peripheral blood has been shown to reflect host responses against a specific respiratory pathogen and can be used to understand the disease. Methods: We correlated the clinical data and blood transcriptomic profile of patients with avian influenza A (H7N9) disease and determined the biological significance of the infection from the analysis.
2018-05-31 | GSE114466 | GEO
Project description:With the purpose to elucidate the expression changes of host genes of SPF chickens infected with duck-origin H7N9 subtype avian influenza virus at 24 hours post-infection(hpi) and fowl adenovirus-4 at 48 dpi. The spleens of SPF chickens infected with duck-origin H7N9 subtype avian influenza virus and fowl adenovirus-4 were collected and high throughout sequenced. Compared with the control group, there were 2426 differentially expressed genes were obtained in the duck-origin H7N9 subtype avian influenza virus group, including 913 up-regulated genes and 1513 down-regulated genes, and there were 1534 differentially expressed genes were obtained in the fowl adenovirus-4 group, including 632 up-regulated genes and 902 down-regulated genes.
2020-06-03 | GSE151662 | GEO
Project description:A novel avian-origin H7N9 influenza A virus (IAV) emerged in China in early 2013 causing mild to lethal human respiratory infections. H7N9 originated from multiple reassortment events between avian viruses and carries genetic markers of human adaptation. Determining whether H7N9 induces a host-response closer to human or avian IAV is important to better characterize this emerging virus. Here we compared the human lung epithelial cell response to infection with A/Anhui/01/13 (H7N9) or highly pathogenic avian-origin H5N1, H7N7, or human seasonal H3N2 IAV.
2014-01-16 | GSE49840 | GEO
Project description:In order to elucidate the expression changes of host genes of SPF chickens infected with duck-origin H7N9 subtype avian influenza virus. The lungs of SPF chickens infected with duck-origin H7N9 subtype avian influenza virus were collected and high throughout sequenced. Compared with the control group, there were 740 differentially expressed genes were obtained in infection group, including 602 up-regulated genes and 138 down-regulated genes. The analysis of the GO items showed that the differentially expressed genes were involved in immune responses and inflammatory responses. The results of KEGG analysis showed that 7 pathways were enriched significantly, in those the Toll-like pathway had 11 up-regulated genes, namely IL-6, TLR4, Pik3, IRF7, MD-2, IRF5, MYD88, CD86, STAT1, TLR2, and CCL4. There were 7 up-regulated genes in NOD-like receptor signaling pathway, which were IRF7, CTSB, P2RX7, CYBB, PSTPIP1, HSP90AA1, and NAMPT. In Toll-like signaling pathway，TLR4 was activated by MD-2 after viral infection, and then activated downstream IRF5. At the same time, the NLRP3 inflammasome also played an important role in the process of H7N9 virus infection.
2020-06-03 | GSE151661 | GEO
Project description:To clarify the underlying mechanism that regulates the response of iron metabolism to influenza A virus infection, we analyzed gene expression profiles in mouse, bone marrow-derived macrophages (BMDMs) infected with H7N9 virus. In addition, We also analysed the chemokine, inflammation, innate-immunity, lipid-metabolism, transcription mRNA level by micrroarray. So, we gain the global transcriptional response in the BMDMs of mice infected with H7N9 virus.
2018-04-13 | GSE112964 | GEO
Project description:A novel avian-origin H7N9 influenza A virus (IAV) emerged in China in early 2013 causing mild to lethal human respiratory infections. H7N9 originated from multiple reassortment events between avian viruses and carries genetic markers of human adaptation. Determining whether H7N9 induces a host-response closer to human or avian IAV is important to better characterize this emerging virus. Here we compared the human lung epithelial cell response to infection with A/Anhui/01/13 (H7N9) or highly pathogenic avian-origin H5N1, H7N7, or human seasonal H3N2 IAV. Here, polarized confluent monolayers of Calu-3 cells were infected apically with the avian-origin IAVs A/Anhui/01/2013 (H7N9) [Anhui01], A/Netherland/219/2003 (H7N7) [NL219], A/Vietnam/1203/2004 (H5N1) [VN1203], or a human seasonal virus A/Panama/2007/1999 (H3N2) [Pan99] at an MOI of 1. Time-matched mocks were also included using the same cell stock as the rest of the samples. Culture medium (same as what the virus stock is in) was used for the mock infections. Quadruplicate wells were infected for each virus/timepoint. Measured timepoints were 3, 7, 12 and 24 hours post-inoculation and the RNA was used for transcriptional analysis via microarray.
2014-01-16 | E-GEOD-49840 | biostudies-arrayexpress
Project description:Although respiratory viral infections cause significant morbidity and mortality, it is still not fully clear why some individuals succumb to severe disease. In patients hospitalized with avian A(H7N9) influenza, we investigated early drivers underpinning hypercytokinemia and fatal disease. Our transcriptomics studies identified differential expression of 10 early host genes, defined by 16 probe sets, between patients who recovered and died. Seven probe sets were specific for the same host gene encoding for a key enzyme mediating free fatty acid production, oleoyl-ACP-hydrolase (OLAH). High olah transcript levels in fatal A(H7N9) patients were detected early after hospital admission and persisted until patients died. Conversely, patients who recovered had minimal olah transcript expression throughout their hospital stays.
2024-09-02 | GSE268303 | GEO
Project description:Differential expression data of BMDMs of mice infected with avian influenza influenza A (H7N9) viruses
| PRJNA449834 | ENA
Project description:Sanhong Liu, Shigui Ruan & Xinan Zhang. Nonlinear dynamics of avian influenza epidemic models. Mathematical Biosciences 283 (2017).
Avian influenza is a zoonotic disease caused by the transmission of the avian influenza A virus, such as H5N1 and H7N9, from birds to humans. The avian influenza A H5N1 virus has caused more than 500 human infections worldwide with nearly a 60% death rate since it was first reported in Hong Kong in 1997. The four outbreaks of the avian influenza A H7N9 in China from March 2013 to June 2016 have resulted in 580 human cases including 202 deaths with a death rate of nearly 35%. In this paper, we construct two avian influenza bird-to-human transmission models with different growth laws of the avian population, one with logistic growth and the other with Allee effect, and analyze their dynamical behavior. We obtain a threshold value for the prevalence of avian influenza and investigate the local or global asymptotical stability of each equilibrium of these systems by using linear analysis technique or combining Liapunov function method and LaSalle's invariance principle, respectively. Moreover, we give necessary and sufficient conditions for the occurrence of periodic solutions in the avian influenza system with Allee effect of the avian population. Numerical simulations are also presented to illustrate the theoretical results.
2024-09-02 | BIOMD0000000708 | BioModels
Project description:Sanhong Liu, Shigui Ruan & Xinan Zhang. Nonlinear dynamics of avian influenza epidemic models. Mathematical Biosciences 283 (2017).
Avian influenza is a zoonotic disease caused by the transmission of the avian influenza A virus, such as H5N1 and H7N9, from birds to humans. The avian influenza A H5N1 virus has caused more than 500 human infections worldwide with nearly a 60% death rate since it was first reported in Hong Kong in 1997. The four outbreaks of the avian influenza A H7N9 in China from March 2013 to June 2016 have resulted in 580 human cases including 202 deaths with a death rate of nearly 35%. In this paper, we construct two avian influenza bird-to-human transmission models with different growth laws of the avian population, one with logistic growth and the other with Allee effect, and analyze their dynamical behavior. We obtain a threshold value for the prevalence of avian influenza and investigate the local or global asymptotical stability of each equilibrium of these systems by using linear analysis technique or combining Liapunov function method and LaSalle's invariance principle, respectively. Moreover, we give necessary and sufficient conditions for the occurrence of periodic solutions in the avian influenza system with Allee effect of the avian population. Numerical simulations are also presented to illustrate the theoretical results.
2024-09-02 | BIOMD0000000709 | BioModels