Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Diffuse functional brain disconnection syndrome in critically ill patients with COVID-19.

ABSTRACT: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is most closely related to severe respiratory syndrome; however, recent reports showed that it is capable of causing neurological disease. Here we report a case-series of 4 critically ill COVID-19 patients who recovered from pneumonia but showed serious neurological symptoms and eventually died.

SUBMITTER: Iacovazzo C

PROVIDER: S-EPMC8154195 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Diffuse functional brain disconnection syndrome in critically ill patients with COVID-19.

Iacovazzo Carmine C Vargas Maria M Tedeschi Enrico E De Simone Anna A Brunetti Arturo A Servillo Giuseppe G

Journal of infection and public health 20210527 7

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is most closely related to severe respiratory syndrome; however, recent reports showed that it is capable of causing neurological disease. Here we report a case-series of 4 critically ill COVID-19 patients who recovered from pneumonia but showed serious neurological symptoms and eventually died. ...[more]

PMID: 34119844

Similar Datasets

Transcriptomic clustering of critically-ill COVID-19 patients

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-02-28 | GSE197259 | GEO

Transcriptomic clustering of critically-ill COVID-19 patients [Day 4 RNAseq]

Project description:Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.

2023-04-29 | GSE206264 | GEO

Glycosylation signature of plasma IgA of critically ill COVID-19 patients

Project description:Total plasma IgA glycosylation was compared between healthy volunteers and volunteers suffering fromo infections with either the influenza A virus or the severe acute respiratory syndrome corona virus 2. Data from functional assays of the same plasma samples, such as neutrophil extracellular trap formation is also available.

2024-10-22 | PXD057019 | Pride

Transcriptomic clustering of critically-ill COVID-19 patients [Day 1-miRNA-Seq]

2022-02-28 | GSE197258 | GEO

Transcriptomic clustering of critically-ill COVID-19 patients [Day 1-RNA-Seq]

2022-02-28 | GSE197204 | GEO

Identification of immune correlates of fatal outcomes in critically ill COVID-19 patients

Project description:Single-cell RNA-sequencing reveals a shift from focused IFN alpha-driven signals in COVID-19 ICU patients who survive to broad pro-inflammatory responses in fatal COVID-19 – a feature not observed in severe influenza. We conclude that fatal COVID-19 infection is driven by uncoordinated inflammatory responses that drive a hierarchy of T cell activation, elements of which can serve as prognostic indicators and potential targets for immune intervention.

2021-06-18 | GSE178404 | GEO

Peripheral blood gene expression according to IFIH1 rs1990760 variants in critically-ill COVID-19 patients

Project description:Background: Outcomes in patients with severe SARS-CoV-2 infection (COVID-19) are conditioned by viral control and regulation of inflammation. Variants in IFIH1, a gene coding the cytoplasmatic RNA sensor MDA5, regulate the response to viral infections. Methods: Patients admitted to an intensive care unit (ICU) with documented COVID-19 were prospectively included and IFIH1 rs1990760 genotypes determined. Peripheral blood gene expression, cell populations and immune mediators were measured during the first day after ICU admission before steroid therapy. Peripheral blood mononuclear cells from healthy volunteers were exposed ex-vivo to an MDA5 agonist and dexamethasone, and changes in gene expression assessed. ICU discharge and hospital death were modelled using rs1990760 variants and dexamethasone therapy as factors. Findings: 237 patients were studied. Patients with the IFIH1 rs1990760 TT variant showed a decrease in expression of inflammation-related pathways, an anti-inflammatory cell profile and a decrease in pro-inflammatory mediators. Cells with TT variant exposed to an MDA5 agonist ex-vivo showed an increase in FOXO3 and IL6 when dexamethasone was added. All patients with the TT variant not treated with steroids (n=14) survived their ICU stay (HR 2.49 95% confidence interval 1.29 – 4.79). Dexamethasone therapy in this subgroup (N=50) delayed ICU discharge and increased hospital mortality (HR 2.19, 95% confidence interval 1.01 – 4.87) and serum IL-6 concentrations. Interpretation: COVID-19 ICU patients with the IFIH1 rs1990760 TT variant show an ameliorated inflammatory response that results in better outcomes than CC/CT variants. Dexamethasone can reverse this anti-inflammatory phenotype, worsening the outcome. Funding: Instituto de Salud Carlos III.

2021-07-03 | GSE168400 | GEO

Whole blood gene expression data of thrombotic and non-thrombotic critically ill COVID-19 patients

Project description:Background: COVID-19 has revealed novel pathological mechanisms, particularly hypercoagulability leading to increased thrombotic risk in critically ill patients. This study investigates transcriptional signatures associated with thrombosis development in COVID-19 intensive care unit (ICU) patients and evaluates their predictive potential. Methods: We performed whole blood transcriptional profiling of 57 mechanically ventilated COVID-19 patients, comparing those with thrombotic complications (TC, n=36) to those without (non-TC, n=21) using differential gene expression and machine learning approaches. Results: TC patients showed greater transcriptome disruption and 283 differentially expressed genes compared to non-TC patients. Key features included enhanced neutrophil activation, inflammatory responses, and monocyte activation alongside suppressed lymphocyte function. An OPLS-DA model achieved excellent classification performance (AUC=0.961, 95% CI: 0.905-0.997). The maltase-glucoamylase gene (MGAM) was the top discriminatory biomarker outperforming traditional clinical markers like D-dimer and C-reactive protein (AUC=0.94). Conclusions: Thrombotic complications in critically ill COVID-19 patients are characterized by distinct transcriptional signatures reflecting heightened neutrophil activation and inflammatory dysregulation. MGAM represents a novel potential biomarker that outperforms traditional clinical markers for identifying patients at high thrombotic risk, offering new opportunities for personalized risk stratification and management in severe COVID-19.

2025-06-18 | GSE300129 | GEO

Assessment of Admission COVID-19 Associated Hyperinflammation Syndrome Score in Critically-Ill COVID-19 Patients

Project description:Purpose We aimed to evaluate the relation between admission COVID-19 associated

| S-EPMC9549159 | biostudies-literature

Neutrophil and monocyte dysfunctional effector response towards bacterial challenge in critically ill COVID-19 patients

Project description:In this study, we aim to evaluate the relation between COVID-19 and bacterial secondary superinfections. We assessed the functional responses of neutrophils and monocytes isolated from acute and recovery COVID-19 patients upon bacterial infection using Flow-cytometry and proteomics based assays. Both neutrophils and monocytes showed impared intracellular microbicidal capacity along with a decreased functional response. Determination of plasma cytokines levels showed a significant association of certain cytokines towards secondary bacterial infection.

2021-12-10 | PXD029547 | Pride

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