Influenzavirus serotype association to global whole blood transcriptional changes
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ABSTRACT: Febrile patients PCR positive for H1N1 swine flu, seasonal H1N1 and seasonal H3N2 in nasal swabs and controls consisting of febrile patients with rhinovirus infection or febrile patients of non-viral etiology (nasal swabs PCR negative for common respiratory viruses and blood PCR negative for dengue and parvovirus B19) were assessed consecutively for global transcriptional changes in whole blood Peripheral whole blood collected in PAX-gene tubes and extracted for total RNA
Project description:Febrile patients PCR positive for H1N1 swine flu, seasonal H1N1 and seasonal H3N2 in nasal swabs and controls consisting of febrile patients with rhinovirus infection or febrile patients of non-viral etiology (nasal swabs PCR negative for common respiratory viruses and blood PCR negative for dengue and parvovirus B19) were assessed consecutively for global transcriptional changes in whole blood
Project description:Whole blood from patients with acute dengue infection (as determined with PCR) were assessed for global transcriptional changes during different stages of the disease with reference to dengue virus IgG status at study inclusion Whole blood collected in PAX-gene tubes and extracted for total RNA
Project description:Dengue patient whole blood samples were analyzed during onset of disease, at defervescence and at early convalescence. Availability of samples at very early time points of disease allows to study the onset of the innate immune response. The main objective of the study is to understand early events during acute dengue disease, and how these events can eventually lead to the obsereved pathology including vascular leakage, thrombocytopenia and lyphocytopenia. Patients with suspected dengue disease gave a blood sample within 72h after onset of fever (DK1). The sample was used to confirm dengue infection by RT-PCR and RNA was stored for microarray. The patients returned for a second sample between 4 and 7 days after onset of fever (DK2) and 15-25 days after onset of fever (DK3). These longitdinal samples were all analyzed by microarray for inter-sample comparison and accross sample comparison. In total eleven patients were analyzed at the three time points indicated.
Project description:Transcriptional profile in influenza infected patients with different clinical outcomes were investigated. Using gene expression profiling, we investigated the expression level of ~47,000 genes in the whole blood of patients with mild (83 patients), moderate (40 patients) and severe (11 patients) symptoms caused by influenza virus. The gene expression level in these patients was compared with febrile patients caused by unknown pathogens (73 patients)
Project description:Seasonal infection rates of individual viruses are influenced by synergistic or inhibitory interactions between coincident viruses. Endemic patterns of SARS-CoV-2 and influenza infection overlap seasonally in the Northern hemisphere and may be similarly influenced. We explored the immunopathologic basis of SARS-CoV-2 and influenza A (H1N1) interactions in Syrian hamsters. H1N1 given 48 hours prior to SARS-CoV-2 profoundly mitigated weight loss and lung pathology compared to SARS-CoV-2 infection alone. This was accompanied by normalization of granulocyte dynamics and accelerated antigen presenting populations in bronchoalveolar lavage and blood. Using nasal transcriptomics, we identified rapid upregulation of innate and antiviral pathways induced by H1N1 by the time of SARS-CoV-2 inoculation in 48 hour dual infected animals. Dual infected animals also experienced significant transient downregulation of mitochondrial and viral replication pathways. By quantitative RT-PCR, we confirmed reduced SARS-CoV-2 viral load and lower cytokine levels throughout disease course in lung of dual infected animals. Our data confirm that H1N1 infection induces rapid and transient gene expression that is associated with mitigation of SARS-CoV-2 pulmonary disease. These protective responses are likely to begin in the upper respiratory tract shortly after infection. On a population level, interaction between these two viruses may influence their relative seasonal infection rates.
Project description:Cell lines B2B and 16HBE were infected in-vitro with rhinovirus 16 and comparisons were made to mock-infected cultures and cultures exposed to UV-irradiated rhinovirus. Total RNA were extracted and assessed by whole genome expression arrays. Rhinovirus in-vitro infected cell lines harvested at different time points (T hours) in biological triplicates. Total RNA extracted directly upon harvest.
Project description:Analysis of nasal epithelial cells from adult patients with seasonal allergic rhinitis and from non allergic controls. Results provide insight into the molecular mechanisms associated with inflammatory responses in nasal mucosa. Total RNA was obtained from nasal epithelial cells of 7 seasonal allergic rhinitis patients and 5 non-allergic control subjects
Project description:For analyzing the exploratory nasal commensal viruses, we performed the metatranscriptomic analysis of the nose swabs from the enrolled AR patients both before and after treatments, as well as sequenced the nose swabs from a set of healthy volunteers without AR history.Simultaneously, to assess the expression of interferon-stimulated genes in patients with allergic rhinitis, we analyzed the gene expression of host reads.
Project description:Analysis of nasal epithelial cells from adult patients with seasonal allergic rhinitis and from non allergic controls. Results provide insight into the molecular mechanisms associated with inflammatory responses in nasal mucosa.
Project description:To elucidate key pathways in the host transcriptome of patients infected with SARS-CoV-2, we used RNA sequencing (RNA Seq) to analyze nasopharyngeal (NP) swab and whole blood (WB) samples from 333 COVID-19 patients and controls, including patients with other viral and bacterial infections. Analyses of differentially expressed genes (DEGs) and pathways was performed relative to other infections (e.g. influenza, other seasonal coronaviruses, bacterial sepsis) in both NP swabs and WB. Comparative COVID-19 host responses between NP swabs and WB were examined. Both hospitalized patients and outpatients exhibited upregulation of interferon-associated pathways, although heightened and more robust inflammatory and immune responses were observed in hospitalized patients with more clinically severe disease. A two-layer machine learning-based classifier, run on an independent test set of NP swab samples, was able to discriminate between COVID-19 and non-COVID-19 infectious or non-infectious acute respiratory illness using complete (>1,000 genes), medium (<100) and small (<20) gene biomarker panels with 85.1%-86.5% accuracy, respectively. These findings demonstrate that SARS-CoV-2 infection has a distinct biosignature that differs between NP swabs and WB and can be leveraged for differential diagnosis of COVID-19 disease.