Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Macrophage expression and prognostic significance of the long pentraxin PTX3 in COVID-19

ABSTRACT: PTX3 is an essential component of humoral innate immunity, involved in resistance to selected pathogens and in the regulation of inflammation1-3. The present study was designed to assess the presence and significance of PTX3 in COVID-194-7. RNA-seq analysis of peripheral blood mononuclear cells, single-cell bioinformatics analysis and immunohistochemistry of lung autopsy samples revealed that myelomonocytic cells and endothelial cells express high levels of PTX3 in COVID-19 patients. Increased plasma concentrations of PTX3 were detected in 96 COVID-19 patients. PTX3 emerged as a strong independent predictor of 28-day mortality in multivariable analysis, better than conventional markers of inflammation, in hospitalized COVID-19 patients. The prognostic significance of PTX3 abundance for mortality was confirmed in a second independent cohort (54 patients). Thus, circulating and lung myelomonocytic cells and endothelial cells are a major source of PTX3, and PTX3 plasma concentration can serve as an independent strong prognostic indicator of short-term mortality in COVID-19.

ORGANISM(S): Homo sapiens

PROVIDER: GSE160351 | GEO | 2020/10/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Macrophage expression and prognostic significance of the long pentraxin PTX3 in COVID-19

Project description:Macrophage expression and prognostic significance of the long pentraxin PTX3 in COVID-19

| PRJNA672981 | ENA

SARS-CoV-2 RNAemia and proteomic biomarker trajectory inform prognostication in COVID-19 patients admitted to intensive care

Project description:Prognostic characteristics inform risk stratification in intensive care unit (ICU) patients with coronavirus disease 2019 (COVID-19). We obtained blood samples (n = 474) from hospitalized COVID-19 patients (n = 123), non-COVID-19 ICU sepsis patients (n = 25) and healthy controls (n = 30). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was detected in plasma or serum (RNAemia) of COVID-19 ICU patients when neutralizing antibody response was low. RNAemia was associated with higher 28-day ICU mortality (hazard ratio [HR], 1.84 [95% CI, 1.22–2.77] adjusted for age and sex). In longitudinal comparisons, COVID-19 ICU patients had a distinct proteomic trajectory associated with RNAemia and mortality. Among COVID-19-enriched proteins, galectin-3 binding protein (LGALS3BP) and proteins of the complement system were identified as interaction partners of SARS-CoV-2 spike glycoprotein. Finally, machine learning identified ‘Age, RNAemia’ and ‘Age, pentraxin-3 (PTX3)’ as the best binary signatures associated with 28-day ICU mortality.

2021-04-26 | PXD024089 | Pride

SARS-CoV-2 RNAemia and proteomic biomarker trajectory inform prognostication in COVID-19 patients admitted to intensive care

2021-04-26 | PXD024026 | Pride

Unresolved Immune Dysfunction is Lethal in Both COVID-19 and non-COVID-19 Sepsis

Project description:In this prospective observational cohort study, we found transcriptional evidence that persistent immune dysfunction was associated with 28-day mortality in both COVID-19 and non-COVID-19 septic patients. COVID-19 patients had an early antiviral response but became indistinguishable on a gene expression level from non-COVID-19 sepsis patients a week later. Early treatment of COVID-19 and non-COVID-19 sepsis ICU patients should focus on pathogen control, but both patient groups also require novel immunomodulatory treatments, particularly later during ICU hospitalization, independent of admission diagnosis. Some T1 samples were uploaded in GSE185263 and were not re-uploaded in this series.

2023-03-24 | GSE222393 | GEO

Identification of serum prognostic biomarkers of severe COVID-19 using a quantitative proteomic approach

Project description:The COVID-19 pandemic is an unprecedented threat to humanity that has provoked global health concerns. Since the etiopathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. Accurately predicting the progression of the disease would aid in appropriate patient categorization and thus help determine the best treatment option. Here, we have introduced a proteomic approach utilizing data-independent acquisition mass spectrometry (DIA-MS) to identify the serum proteins that are closely associated with COVID-19 prognosis. Twenty-seven proteins were differentially expressed between severely ill COVID-19 patients with an adverse or favorable prognosis.

2021-11-02 | PXD021702 | JPOST Repository

Plasma gradient of soluble urokinase-type plasminogen activator receptor is linked to pathogenic plasma proteome and immune transcriptome and is a prognostic biomarker for severe COVID-19

Project description:The disease caused by the novel coronavirus of 2019 (COVID-19) has resulted in significant morbidity and mortality world-wide. A systemic hyper-inflammation characterizes the severe COVID-19 disease often associated with acute respiratory distress syndrome (ARDS). Bloodbiomarkers with prognostic relevance are of great importance in effective triage and critical care of severe COVID-19 patients. In the present study we report higher plasma abundance of soluble urokinase-type plasminogen activator receptor (sUPAR), shown to be expressed by an abnormally expanded circulating myeloid cell population, in severe COVID-19 patients with acute respiratory distress syndrome. SUPAR level was found to be linked to a characteristic proteomic signature of plasma. A receiver operator characteristics curve analysis identified a cut-off value of sUPAR at 2000pg/ml, which was linked to characteristic differential expression in the immune transcriptome as well as clinical outcomes in our patient cohort. Thus we identified sUPAR as a biomarker with strong predictive potential for clinical outcomes in severe COVID-19.

2023-07-17 | PXD026510 | Pride

Blockade of pentraxin 3/CD44 interaction on attenuation and reversal of lung injury-induced fibrosis

Project description:Fibrosing interstitial lung disease (fILD) is a fatal fibrotic lung disease with limited therapeutic options and no effective therapeutic strategies to reverse pulmonary fibrosis. Here, we found that PTX3 is upregulated in the lungs of bleomycin-treated mice and fILD patients. Lung injury and fibrosis were significantly attenuated in inducible conditional Ptx3-deficient mice in response to bleomycin treatment. Moreover, we dissected mechanistic insights into PTX3/CD44-dependent fibrotic pathways and effectors in lung myofibroblast activation and collagen production. Importantly, αPTX3i disrupts the interaction of PTX3 and CD44 and effectively attenuated bleomycin-treated lung injury and fibrosis in vivo and myofibroblast activation in vitro. Our study provides new insight into the regulation of PTX3 in pulmonary fibrosis and a potential target for developing future novel therapy for fILDs.

2022-08-04 | GSE210165 | GEO

Predicting severity in COVID-19 disease using sepsis blood gene expression signatures

Project description:Severely-afflicted COVID-19 patients can exhibit disease manifestations representative of sepsis, including acute respiratory distress syndrome and multiple organ failure. We hypothesized that diagnostic tools used in managing all-cause sepsis, such as clinical criteria, biomarkers, and gene expression signatures, should extend to COVID-19 patients. Here we analyzed the whole blood transcriptome of 124 early (1-5 days post-hospital admission) and late (6-20 days post-admission) sampled patients with confirmed COVID-19 infections from hospitals in Quebec, Canada. Mechanisms associated with COVID-19 severity were identified between severity groups (ranging from mild disease to the requirement for mechanical ventilation and mortality), and established sepsis signatures were assessed for dysregulation. Specifically, gene expression signatures representing pathophysiological events, namely cellular reprogramming, organ dysfunction, and mortality, were significantly enriched and predictive of severity and lethality in COVID-19 patients. Mechanistic endotypes reflective of distinct sepsis aetiologies and therapeutic opportunities were also identified in subsets of patients, enabling prediction of potentially-effective repurposed drugs. The expression of sepsis gene expression signatures in severely-afflicted COVID-19 patients indicates that these patients should be classified as having severe sepsis. Accordingly, in severe COVID-19 patients, these signatures should be strongly considered for the mechanistic characterization, diagnosis, and guidance of treatment using repurposed drugs.

2022-12-18 | GSE221234 | GEO

Small RNA-seq analysis of serum miRNAs in patients with severe COVID-19

Project description:The clinical course of Coronavirus disease 2019 (COVID-19) displays a wide variability, ranging from completely asymptomatic forms to diseases associated with severe clinical outcomes. To reduce the incidence COVID-19 severe outcomes, innovative molecular biomarkers are needed to improve the stratification of patients at the highest risk of mortality and to better customize therapeutic strategies. MicroRNAs associated with COVID-19 outcomes could allow quantifying the risk of severe outcomes and developing models for predicting outcomes, thus helping to customize the most aggressive therapeutic strategies for each patient. Here, we analyzed the circulating miRNA profiles in a set of 12 hospitalized patients with severe COVID-19, with the aim to identify miRNAs associated with in-hospital mortality.

2021-11-24 | GSE189506 | GEO

People critically ill with COVID-19 exhibit peripheral immune profiles predictive of mortality and reflective of SARS-CoV-2 lung viral burden

Project description:There remains an urgent need to delinate immune cell states that contribute to mortality in critially ill COVID-19 patients. To better understand determinants of mortality, we performed high dimensional profiling of blood and respiratory samples from critially ill COVID-19 patients. Single-cell RNAseq based characterization of peripheral immune states reveal distinct expression profiles that were predictive of COVID-19 mortality. Temporal analysis revealed a that persistently elevated levels of inflammatory monocyte signatures and persistent interferon signaling preceeded concerted upregulation of inflammatory cytokines. Interrogation of lower respiratory tract saples revelaed that infected myeliod cells upregulated CXCL10, and elevated levels of CXCL10 in plasma were associated with a high risk of death. Overall, our data suggest a pivotal role for myeloid cell states in severe COVID-19 and may faciliate discovery of new diagnostics and therapeutics.

2021-12-08 | GSE180578 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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