Browse
Submit Data
Databases
API
Help

Dataset Information

17 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A distinct innate immune signature marks progression from mild to severe COVID-19.

ABSTRACT: Coronavirus disease 2019 (COVID-19) manifests with a range of severities, but immune signatures of mild and severe disease are still not fully understood. Here, we use mass cytometry and targeted proteomics to profile the innate immune response of patients with mild or severe COVID-19 and of healthy individuals. Sampling at different stages allows us to reconstruct a pseudo-temporal trajectory of the innate response. A surge of CD169⁺ monocytes associated with an IFN-γ⁺MCP-2⁺ signature rapidly follows symptom onset. At later stages, we observe a persistent inflammatory phenotype in patients with severe disease, dominated by high CCL3 and CCL4 abundance correlating with the re-appearance of CD16⁺ monocytes, whereas the response of mild COVID-19 patients normalizes. Our data provide insights into the dynamic nature of inflammatory responses in COVID-19 patients and identify sustained innate immune responses as a likely mechanism in severe patients, thus supporting the investigation of targeted interventions in severe COVID-19.

SUBMITTER: Chevrier S

PROVIDER: S-EPMC7817872 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Multi-omic analysis resolves coordinated immune responses to mild, moderate and severe COVID-19

Project description:This study utilizes multi-omic biological data to perform deep immunophenotyping on the major immune cell classes in COVID-19 patients. 10X Genomics Chromium Single Cell Kits were used with Biolegend TotalSeq-C human antibodies to gather single-cell transcriptomic, surface protein, and TCR/BCR sequence information from 254 COVID-19 blood draws (a draw near diagnosis (-BL) and a draw a few days later (-AC)) and 16 healthy donors.

2020-10-29 | E-MTAB-9357 | biostudies-arrayexpress

Proteomic blood profiling in mild, severe and critical COVID-19 patients

Project description: Not available

| S-BSST416 | biostudies-other

Distinct B cell repertoires characterize patients with mild and severe COVID-19

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

2021-04-26 | GSE164381 | GEO

Distinct B cell repertoires characterize patients with mild and severe COVID-19 [VDJ]

Project description:Protective immunity against COVID-19 likely depends on the production of SARS-CoV-2 binding plasma cells and memory B cells after infection or vaccination. Previous work has shown evidence that germinal center reactions, a critical component of the B cell response, are disrupted in severe COVID-19. This may adversely affect protective immunity from re-infection. Consistent with an extrafollicular B cell response, severe COVID-19 patients have large scale changes in B cell populations such as elevated frequencies of clonally expanded, class switched, unmutated plasmablasts. However, it is not clear whether mild or asymptomatically infected individuals show similar differences in B cell repertoires. Here, we use single cell RNA sequencing of B cells to show that, in contrast to hospitalized COVID-19 patients, mildly symptomatic COVID-19 subjects have B cell repertoires skewed towards clonally diverse, somatically hypermutated memory B cells approximately 30 days after the onset of symptoms. This provides evidence that B cell responses are less disrupted in mild COVID-19, and that the infection resolves with the production of memory B cells.

2021-04-26 | GSE164380 | GEO

Distinct B cell repertoires characterize patients with mild and severe COVID-19 [GEX]

2021-04-26 | GSE164379 | GEO

Human gut microbiota, COVID-19 patients with mild or severe symptoms.

Project description:Analysis of COVID-19 hospitalized patients, with different kind of symptoms, by human rectal swabs collection and 16S sequencing approach.

2022-09-22 | E-MTAB-12236 | biostudies-arrayexpress

Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression.

Project description:With a rising incidence of COVID-19-associated morbidity and mortality worldwide, it is critical to elucidate the innate and adaptive immune responses that drive disease severity. We performed longitudinal immune profiling of peripheral blood mononuclear cells from 45 patients and healthy donors. We observed a dynamic immune landscape of innate and adaptive immune cells in disease progression and absolute changes of lymphocyte and myeloid cells in severe versus mild cases or healthy controls. Intubation and death were coupled with selected natural killer cell KIR receptor usage and IgM+ B cells and associated with profound CD4 and CD8 T cell exhaustion. Pseudo-temporal reconstruction of the hierarchy of disease progression revealed dynamic time changes in the global population recapitulating individual patients and the development of an eight-marker classifier of disease severity. Estimating the effect of clinical progression on the immune response and early assessment of disease progression risks may allow implementation of tailored therapies.

| S-EPMC7491529 | biostudies-literature

Whole blood transcriptome signature predicts severe forms of COVID-19: Results from the COVIDeF cohort study

Project description: Not available

| S-BSST1135 | biostudies-other

Early differentially expressed immunological genes in mild and severe COVID-19

Project description:We retrospectively analysed the expression of 579 immunological genes in 60 COVID-19 subjects (SARS +ve) and 59 COVID-negative (SARS -ve) subjects using the NanoString nCounter (Immunology panel), a technology based on multiplexed single-molecule counting. Biobanked Human peripheral blood mononuclear cells (PBMCs) samples underwent Nucleic Acid extraction and digital detection of mRNA to evaluate changes in antiviral gene expression between SARS -ve controls and patients with mild (SARS +ve Mild) and moderate/severe (SARS +ve Mod/Sev) disease.

2023-05-11 | GSE227080 | GEO

Systems biological assessment of immunity to severe and mild COVID-19 infections

Project description:CITE-seq of 7 patients with COVID-19 and 5 healthy controls

2020-08-07 | GSE155673 | GEO