Ontology highlight
ABSTRACT:
PROVIDER: PRJNA642012 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:COVID-19-associated pulmonary aspergillosis (CAPA) is a frequent, severe superinfection with the fungus Aspergillus affecting critically ill COVID-19 patients. The pathophysiology of this infection is still largely unknown. We performed an explorative study by performing single-cell RNA sequencing (scRNA-seq) on 43 bronchoalveolar lavage (BAL) fluid samples from 39 mechanically ventilated COVID-19 patients.
| EGAS00001007556 | EGA
Project description:Peripheral blood gene expression analysis of IFIH1 rs1990760 variants in critically-ill COVID-19 patients
2024-05-22 | GSE233626 | GEO
Project description:Transcriptomic clustering of critically-ill COVID-19 patients
| PRJNA809558 | ENA
Project description:It is known that about 60% of all human messenger RNAs (mRNAs) regulated by microRNAs, the role of mRNAs and microRNAs in the critically ill patients with Coronavirus Infection 2019 (COVID-19) is unknown. To evaluate mRNA and microRNA in whole blood of the critically ill patients with COVID-19 and to elucidate the pathogenesis of COVID-19 including the subsequent proteins profile following mRNA and microRNA integration analysis. RNA was extracted from the whole blood in 5 healthy controls and 10 critically ill patients with COVID-19 at the time of admission. mRNA and miRNA were measured by RNA sequence, and gene expression variation and pathway analysis were performed. As the IFNs proteins profile cohort, IFN-α2, IFN-β, IFN-γ, IL-27 and IFN-λ1 were measured on the day of admission (day 1, 181 critical and 22 non-critical patients) and day 6-8 (168 critical patients) in COVID19 patients and 19 healthy controls. Compared to healthy controls, 3488 mRNA and 31 miRNA genes were identified in the differentially expressed genes in the critically ill patients with COVID-19 (p-value<0.05, Log 2 fold change> |2|). In the canonical pathway analysis using Ingenuity Pathway Analysis (IPA), interferon signaling pathway was the most activated. In plasma interferon levels, IFN-β was elevated along with the increase of severity compared to healthy controls. IFN-λ1 was elevated in moderate disease compared to healthy controls, and conversely, IFN-λ1 was lower in severe disease than in moderate disease. Integration of mRNA and microRNA analysis showed activated interferon signaling. The plasma interferon proteins profile revealed that IFN-β (type I) and IFN-λ1 (type III) played an important role in the disease progression of COVID-19.
2022-06-22 | GSE182152 | GEO
Project description:Peripheral blood gene expression analysis of IFIH1 rs1990760 variants in critically-ill COVID-19 patients with and without corticosteroids treatment
2024-05-22 | GSE233627 | GEO
Project description:Patients diagnosed with coronavirus disease 2019 (COVID-19) mostly become critically ill around the time of activation of the adaptive immune response. Here, we provide evidence that antibodies play a role in the worsening of disease at the time of seroconversion. We show that early phase severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV-2) spike protein-specific IgG in serum of critically ill COVID-19 patients induces hyper-inflammatory responses by human alveolar macrophages. We identified that this excessive inflammatory response is dependent on two antibody features that are specific for patients with severe COVID-19. First, inflammation is driven by high titers of anti-spike IgG, a hallmark of severe disease. Second, we found that anti-spike IgG from patients with severe COVID-19 is intrinsically more pro-inflammatory because of different glycosylation, particularly low fucosylation, of the Fc tail. Notably, low anti-spike IgG fucosylation normalized in a few weeks after initial infection with SARS-CoV-2, indicating that the increased antibody-dependent inflammation mainly occurs at the time of seroconversion. We identified Fcγ Receptor (FcγR) IIa and FcγRIII as the two primary IgG receptors that are responsible for the induction of key COVID-19-associated cytokines such as interleukin-6 and tumor necrosis factor. In addition, we show that anti-spike IgG-activated macrophages can subsequently break pulmonary endothelial barrier integrity and induce microvascular thrombosis in vitro. Finally, we demonstrate that the hyper-inflammatory response induced by anti-spike IgG can be specifically counteracted by fostamatinib, an FDA- and EMA-approved therapeutic small molecule inhibitor of the kinase, Syk.
2021-04-30 | E-MTAB-10431 | biostudies-arrayexpress
Project description:System-wide molecular characteristics of COVID-19, especially in those patients without comorbidities, have not been fully investigated. We compared extensive molecular profiles of blood samples from 231 COVID-19 patients, ranging from asymptomatic to critically ill, importantly excluding those with any comorbidities. Amongst the major findings, asymptomatic patients were characterized by highly activated anti-virus interferon, T/natural killer (NK) cell activation, and transcriptional upregulation of inflammatory cytokine mRNAs. However, given very abundant RNA binding proteins (RBPs), these cytokine mRNAs could be effectively destabilized hence preserving normal cytokine levels. In contrast, in critically ill patients, cytokine storm due to RBPs inhibition and tryptophan metabolites accumulation contributed to T/NK cell dysfunction. A machine-learning model was constructed which accurately stratified the COVID-19 severities based on their multi-omics features. Overall, our analysis provides insights into COVID-19 pathogenesis and identifies targets for intervening in treatment.
2021-03-12 | PXD024674 | Pride
Project description:The outbreak of coronavirus disease 2019 (COVID-19) is a global health emergency. Various omics results have been reported for COVID-19, but the molecular hallmarks of COVID-19, especially in those patients without comorbidities, have not been fully investigated. Here we collect blood samples from 231 COVID-19 patients, prefiltered to exclude those with selected comorbidities, yet with symptoms ranging from asymptomatic to critically ill. Using integrative analysis of genomic, transcriptomic, proteomic, metabolomic and lipidomic profiles, we report a trans-omics landscape for COVID-19. Our analyses find neutrophils heterogeneity between asymptomatic and critically ill patients. Meanwhile, neutrophils over-activation, arginine depletion and tryptophan metabolites accumulation correlate with T cell dysfunction in critical patients. Our multi-omics data and characterization of peripheral blood from COVID-19 patients may thus help provide clues regarding pathophysiology of and potential therapeutic strategies for COVID-19.
2021-10-06 | MTBLS2542 | MetaboLights
Project description:Transcriptomic clustering of critically-ill COVID-19 patients [miRNA-Seq]
| PRJNA809566 | ENA