Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq on CD16Int versus CD16High in severe COVID-19 patients

ABSTRACT: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel viral pathogen that causes a clinical disease called coronavirus disease 2019 (COVID-19). Approximately 20% of infected patients experience a severe manifestation of the disease, causing bilateral pneumonia and acute respiratory distress syndrome. Severe COVID-19 patients also have a pronounced coagulopathy with approximately 30% of patients experiencing thromboembolic complications. However, the cellular etiology driving the coagulopathy remains unknown. Here, we explore whether the prominent neutrophilia seen in severe COVID-19 patients contributes to inflammation-associated coagulation. We found in severe patients the emergence of a CD16Int low-density inflammatory band (LDIB) neutrophil population that trends over time with changes in disease status. These cells demonstrated spontaneous neutrophil extracellular trap (NET) formation, higher phagocytic capacity, enhanced cytokine production, and associated clinically with D-dimer, ferritin, and systemic IL-6 and TNF-α levels. Strikingly, LDIB neutrophils are the major immune cells within the bronchoalveolar lavage (BAL) fluid with increased CXCR3 and loss of CD44 and CD38 expression. We conclude that the LDIB subset contributes to COVID- 19-associated coagulopathy (CAC) and systemic inflammation and could be used as an adjunct clinical marker to monitor disease status and progression. Identifying patients who are trending towards LDIB crisis and implementing early, appropriate treatment could improve all-cause mortality rates for severe COVID-19 patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE154311 | GEO | 2021/07/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome wide expression from COVID-19 patients and controls' lung

Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection leads to coronavirus disease 2019 (Covid-19) which has caused worldwide pandemic infection. Yet due to unknown reason, certain COVID-19 patients exhibit severe inflammatory reactions associated with cytokine storm and neutrophil infiltration and neutrophil extracellular traps (NETs) in the lung, leading to further complications of SARS-CoV-2 infection. To find out whether the cause of lung injury in COVID-19 patients is due to increased reactive oxygen species and subsequently NET formation we have compared the post-mortem lung biopsies of deceased COVID-19 patients to normal lung tissues using RNA-Seq analysis.

2023-01-31 | GSE208076 | GEO

Effects of SARS-CoV-2 S protein on endothelial cell thrombosis

Project description:The outbreak of Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, has led to an unparalleled global health crisis. While the majority of COVID-19 patients present with mild respiratory issues, a subset of patients still develop severe symptoms and life-threatening complications. Notably, abnormal coagulation and thrombosis are significant contributors to mortality in severe COVID-19 patients. Therefore, this study stimulated aortic endothelial cells with SARS-Cov-2 S protein and performed transcriptome sequencing analysis.

2024-12-15 | GSE283771 | GEO

High titers and low fucosylation of early anti-SARS-CoV-2 IgG promote hyper-inflammation by anti-inflammatory macrophages (MIL10)

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

SnoRNAs and miRNAs expression profiles underlying COVID-19 disease severity

Project description:The causative organism, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), exhibits a wide spectrum of clinical manifestations in disease-ridden patients. Differences in the severity of COVID-19 ranges from asymptomatic infections and mild cases to the severe form, leading to acute respiratory distress syndrome (ARDS) and multiorgan failure with poor survival. MiRNAs can regulate various cellular processes, including proliferation, apoptosis, and differentiation, by binding to the 3′UTR of target mRNAs inducing their degradation, thus serving a fundamental role in post-transcriptional repression. Alterations of miRNA levels in the blood have been described in multiple inflammatory and infectious diseases, including SARS-related coronaviruses. We used microarrays to delineate the miRNAs and snoRNAs signature in the peripheral blood of severe COVID-19 cases (n=9), as compared to mild (n=10) and asymptomatic (n=10) patients, and identified differentially expressed transcripts in severe versus asymptomatic, and others in severe versus mild COVID-19 cases. A cohort of 29 male age-matched patients were selected. All patients were previously diagnosed with COVID-19 using TaqPath COVID-19 Combo Kit (Thermo Fisher Scientific, Waltham, Massachusetts), or Cobas SARS-CoV-2 Test (Roche Diagnostics, Rotkreuz, Switzerland), with a CT value < 30. Additional criterion for selection was age between 35 and 75 years. Participants were grouped into severe, mild and asymptomatic. Classifying severe cases was based on requirement of high-flow oxygen support and ICU admission (n=9). Whereas mild patients were identified based on symptoms and positive radiographic findings with pulmonary involvement (n=10). Patients with no clinical presentation were labelled as asymptomatic cases (n=10).

2022-03-01 | E-MTAB-10970 | biostudies-arrayexpress

Epigenome-Wide Association Study of COVID-19 Severity with Respiratory Failure

Project description:Patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the coronavirus disease 2019 (COVID-19), exhibit a wide spectrum of disease behavior. Since DNA methylation has been implicated in the regulation of viral infections and the immune system, we performed an epigenome- wide association study (EWAS) to identify candidate loci regulated by this epigenetic mark that could be involved in the onset of COVID-19 in patients without comorbidities.

2021-04-15 | GSE168739 | GEO

RNA-Seq of Human iPSC-cardiomyocytes infected with SARS-CoV-2

Project description:Coronavirus disease 2019 (COVID-19) is a viral pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 is predominantly defined by respiratory symptoms, but cardiac complications including arrhythmias, heart failure, and viral myocarditis are also prevalent. Although the systemic ischemic and inflammatory responses caused by COVID-19 can detrimentally affect cardiac function, the direct impact of SARS-CoV-2 infection on human cardiomyocytes is not well understood.

2020-06-19 | GSE150392 | GEO

Proteomics of Plasma samples from COVID19 patients

Project description:Coagulopathy is a hallmark finding in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is associated with an increased risk of death from venous and arterial thromboembolic complications. SARS-CoV-2 infection can lead to microvascular thrombosis that contributes to acute lung injury and respiratory failure. The molecular mechanisms leading to thrombosis in Coronavirus disease 2019 (COVID19) patients are poorly understood. Here, we study a role of the procoagulant neutrophil extracellular traps (NETs)/Factor XII (FXII) axis in COVID19-associated thromboembolism.

2021-08-20 | PXD020279 | Pride

Proteomics of lung tissues from COVID19 patients

2021-08-20 | PXD020216 | Pride

Monocyte-mediated thrombosis linked to circulating tissue factor and immune-paralysis in COVID-19

Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections cause coronavirus disease 2019 (COVID-19) and are associated with inflammation and coagulopathy and high incidence of thrombosis. Myeloid cells (Mϕ) help coordinate the initial immune response in COVID-19. Although we appreciate that Mϕ lie at the nexus of inflammation and thrombosis, the mechanisms that unite the two in COVID-19 remain largely unknown. In this study, we employed systems biology approaches including proteomics, transcriptomics, and mass cytometry to define the circulating proteome and circulating immune cell phenotypes in subjects with COVID-19. In a cohort of COVID-19 subjects (n=35), circulating markers of inflammation (CCL23, IL-6) and vascular dysfunction (ACE2, tissue factor [TF]) were elevated in subjects with severe compared with mild COVID-19. Additionally, although the total white blood cell (WBC) counts were similar between COVID-19 groups, CD14+ monocytes from severe COVID-19 subjects expressed more TF. At baseline, transcriptomics demonstrated increased IL-6, CCL3, ACOD1, C5AR1, C5AR2, and TF in severe COVID-19 subjects compared with controls. Using “stress” transcriptomics, we found that circulating immune cells from severe COVID-19 subjects had evidence of profound immune paralysis with greatly reduced transcriptional activation and release of inflammatory markers in response to Toll-like receptor (TLR) activation. Finally, sera from severe (but not mild) COVID-19 subjects activated human monocytes and induced TF expression. Taken together, these observations further elucidate the pathological mechanisms that underlie immune dysfunction and coagulation abnormalities in COVID-19, contributing to our growing understanding of SARS-CoV-2 infections that could also be leveraged to develop novel diagnostic and therapeutic strategies.

2024-01-23 | GSE247186 | GEO

Stimulation of PSTPIP1 to trigger proinflammatory responses in asymptomatic SARS-CoV-2 infections

Project description:A hyperinflammatory response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection gravely worsens the clinical progression of coronavirus disease 2019 (COVID-19). Although the undesirable effects of inflammasome activation have been correlated to the severity of COVID-19, the mechanisms of this process in the asymptomatic infection and disease progression have not yet been clearly elucidated. Our results indicate potential preventive targets for COVID-19 disease development and progression.

2023-07-11 | GSE236651 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data