Convalescent COVID-19 patients without comorbidities display similar immunophenotypes over time despite divergent disease severities
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA750442 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:COVID-19, the disease caused by SARS-CoV-2 infection, can assume a highly variable disease course, ranging from asymptomatic infection, which constitutes the majority of cases, to severe respiratory failure. This implies a diverse host immune response to SARS-CoV-2. However, the immunological underpinnings underlying these divergent disease courses remain elusive. We therefore set out to longitudinally characterize immune signatures of convalescent COVID-19 patients stratified according to their disease severity. Our unique convalescent COVID-19 cohort consists of 74 patients not confounded by comorbidities. This is the first study of which we are aware that excludes immune abrogations associated with non-SARS-CoV-2 related risk factors of disease severity. Patients were followed up and analyzed longitudinally (2, 4 and 6 weeks after infection) by high-dimensional flow cytometric profiling of peripheral blood mononuclear cells (PBMCs), in-depth serum analytics, and transcriptomics. Immune phenotypes were correlated to disease severity. Convalescence was overall associated with uniform immune signatures, but distinct immune signatures for mildly versus severely affected patients were detectable within a 2-week time window after infection.
2021-07-30 | GSE181032 | GEO
Project description:COVID-19, the disease caused by SARS-CoV-2 infection, can assume a highly variable disease course, ranging from asymptomatic infection, which constitutes the majority of cases, to severe respiratory failure. This implies a diverse host immune response to SARS-CoV-2. However, the immunological underpinnings underlying these divergent disease courses remain elusive. We therefore set out to longitudinally characterize immune signatures of convalescent COVID-19 patients stratified according to their disease severity. Our unique convalescent COVID-19 cohort consists of 74 patients not confounded by comorbidities. This is the first study of which we are aware that excludes immune abrogations associated with non-SARS-CoV-2 related risk factors of disease severity. Patients were followed up and analyzed longitudinally (2, 4 and 6 weeks after infection) by high-dimensional flow cytometric profiling of peripheral blood mononuclear cells (PBMCs), in-depth serum analytics, and transcriptomics. Immune phenotypes were correlated to disease severity. Convalescence was overall associated with uniform immune signatures, but distinct immune signatures for mildly versus severely affected patients were detectable within a 2-week time window after infection.
| S-EPMC8634761 | biostudies-literature
Project description:Convalescent sera of RT-PCR SARS-CoV-2 confirmed hospitalised patients were tested on the protein array to profile IgG, IgM, and IgA antibody levels against human coronaviruses.
2022-03-08 | E-MTAB-11523 | biostudies-arrayexpress
Project description:CNV are known to be a frequent cause of the autism spectrum disorders (ASD) and intellectual disabilities (ID). However, the clinical heterogeneity of both disorders causes the diagnostic efficacy of CNV analysis to be modest. We conclude that comorbidities such as microcephaly, facial dysmorphia and epilepsy increase the risk of the pathogenic CNV finding in patients with ID and ASD. However, the significance of these comorbidities differs between both groups and shows dependency on whether the patients were primarily classified as ID or ASD. We suggest that stratification of the patients according to their comorbidities before testing can increase the yield of the detection rate of pathogenic CNV in both groups. The likelihood of pathogenic CNV detection in ASD patients without any comorbidities is low. Therefore, the effectivity of CNV analysis in these cases is modest
2019-06-11 | GSE132453 | GEO
Project description:Klinefelter syndrome (KS) is the most common male chromosomal abnormality (47,XXY). Males with KS suffers from numerous comorbidities. Gene expression data integrated with other data types can increase the knowledge and clinically handling of KS males. Gene expression microarray from eight human Klinefelter syndrome patients (47,XXY) and eight human controls. The age of the Klinefelter syndrome patients varied, which was corrected for in the pre-processing as described in the paper and also in the 'normalization data transformation protocol' of this submission.
2017-03-23 | E-MTAB-4922 | biostudies-arrayexpress
Project description:Severe COVID-19 disease is associated with dysregulation of the myeloid compartment during acute infection. Survivors frequently experience long-lasting sequelae but little is known about the eventual persistence of this immune alteration. Herein, we evaluated Toll-like receptor-induced cytokine responses in a cohort of mild to critical patients during acute or convalescent phases (n=97). In the acute phase, we observed impaired cytokine production by monocytes in the most severe patients. This capacity was globally restored in convalescent patients. Yet, we observed increased responsiveness to TLR1/2 ligation in patients that recovered from severe disease, indicating that these cells display distinct functional properties at the different stages of the disease. We identified a specific transcriptomic and epigenomic state in monocytes from acute severe patients that can account for their functional refractoriness. The molecular profile of monocytes from recovering patients was distinct and characterized by increased chromatin accessibility at AP-1 and MAF loci. These results demonstrate that severe COVID-19 infection has a profound impact on the differentiation status and function of circulating monocytes both during the acute and the convalescent phases in a completely distinct manner. This could have important implications for our understanding of short and long-term COVID19-related morbidity.
2022-04-01 | GSE198256 | GEO
Project description:Severe COVID-19 disease is associated with dysregulation of the myeloid compartment during acute infection. Survivors frequently experience long-lasting sequelae but little is known about the eventual persistence of this immune alteration. Herein, we evaluated Toll-like receptor-induced cytokine responses in a cohort of mild to critical patients during acute or convalescent phases (n=97). In the acute phase, we observed impaired cytokine production by monocytes in the most severe patients. This capacity was globally restored in convalescent patients. Yet, we observed increased responsiveness to TLR1/2 ligation in patients that recovered from severe disease, indicating that these cells display distinct functional properties at the different stages of the disease. We identified a specific transcriptomic and epigenomic state in monocytes from acute severe patients that can account for their functional refractoriness. The molecular profile of monocytes from recovering patients was distinct and characterized by increased chromatin accessibility at AP-1 and MAF loci. These results demonstrate that severe COVID-19 infection has a profound impact on the differentiation status and function of circulating monocytes both during the acute and the convalescent phases in a completely distinct manner. This could have important implications for our understanding of short and long-term COVID19-related morbidity.
2022-04-01 | GSE198255 | GEO
Project description:The on-going COVID-19 pandemic requires a deeper understanding of the long-term antibody responses that persist following SARS-CoV-2 infection. To that end, we determined epitope-specific IgG antibody responses in COVID-19 convalescent sera collected at 5 months post-diagnosis and compared that to sera from naïve individuals. Each serum sample was reacted with a high-density peptide microarray representing the complete proteome of SARS-CoV-2 as 15 mer peptides with 11 amino acid overlap and homologs of spike glycoprotein, nucleoprotein, membrane protein, and envelope small membrane protein from related human coronaviruses. Binding signatures were compared between COVID-19 convalescent patients and naïve individuals using the web service tool EPIphany.
2022-02-05 | E-MTAB-10740 | biostudies-arrayexpress
Project description:HIV reservoirs persist despite successful antiretroviral therapy (ART) and are a major obstacle to the eradication and cure of HIV. The mature monocyte subset, CD14+CD16+, contributes to viral reservoirs and HIV-associated comorbidities. Only a subset of monocytes harbors HIV (HIV+), while the rest remain uninfected, exposed cells (HIVexp). We developed an innovative single cell RNA sequencing (scRNAseq) pipeline that detects HIV and host transcripts simultaneously, enabling us to examine differences between HIV+ and HIVexp mature monocytes. Using this, we characterized uninfected, HIV+, and HIVexp primary human mature monocytes with and without ART. We showed that HIV+ mature monocytes do not form their own cluster separately from HIVexp but can be distinguished by significant differential gene expression. We found that ART decreased levels of unspliced HIV transcripts potentially by modulating host transcriptional regulators shown to decrease viral infection and replication. We also identified and characterized mature monocyte subpopulations differentially impacted by HIV and ART. We identified genes dysregulated by ART in HIVexp monocytes compared to their uninfected counterpart and, of interest, the junctional protein ALCAM, suggesting that ART impacts monocyte functions. Our data provide a novel method for simultaneous detection of HIV and host transcripts. We identify potential targets, such as those genes whose expression is increased in HIV+ mature monocytes compared to HIVexp, to block their entry into tissues, preventing establishment/replenishment of HIV reservoirs even with ART, thereby reducing and/or eliminating viral burden and HIV-associated comorbidities. Our data also highlight the heterogeneity of mature monocyte subsets and their potential contributions to HIV pathogenesis in the ART era.
2020-07-08 | GSE153958 | GEO
Project description:We utilize single-cell sequencing (scSeq) of lymphocyte immune repertoires and transcriptomes to quantitatively profile the adaptive immune response in COVID-19 patients of varying age. Our scSeq analysis defines the adaptive immune repertoire and transcriptome in convalescent COVID-19 patients and shows important age-related differences implicated in immunity against SARS-CoV-2.
2021-03-20 | E-MTAB-10169 | biostudies-arrayexpress