Nasopharyngeal Microbiota Changes in COVID-19 by Age and Severity
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB85794 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Age- and disease severity-associated changes in the nasopharyngeal microbiota of COVID-19 patients
| PRJEB85791 | ENA
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
Project description:Infection with SARS-CoV-2 has highly variable clinical manifestations, ranging from asymptomatic infection through to life-threatening disease. Host whole blood transcriptomics can offer unique insights into the biological processes underpinning infection and disease, as well as severity. We performed whole blood RNA-Sequencing of individuals with varying degrees of COVID-19 severity. We used differential expression analysis and pathway enrichment analysis to explore how the blood transcriptome differs between individuals with mild, moderate, and severe COVID-19, performing pairwise comparisons between groups.
2022-07-19 | E-MTAB-10926 | biostudies-arrayexpress
Project description:The immunological signatures driving COVID-19 severity in Ghanaians are not well understood. We, therefore, performed bulk transcriptome sequencing of nasopharyngeal samples from SARS-CoV-2-infected Ghanaians with mild and severe COVID-19 and healthy controls to characterize immune signatures at the primary SARS-CoV-2 infection site and identified drivers of disease severity. Generally, a heightened antiviral response was observed in SARS-CoV-2-infected Ghanaians compared with uninfected controls. COVID-19 severity was associated with a dysregulated inflammatory response occasioned by overexpression of IL1A, S100A7, CRNN, and IL23A proinflammatory cytokines and hyperactivation of the NF-κB pathway through MAL signaling. SAMD9L was also among the differentially regulated interferon-stimulated genes (ISGs) in our mild and severe disease cohorts, suggesting that it may be playing a critical role in SARS-CoV-2 pathogenesis. We noted differences in antiviral gene expression by comparing our data with a publicly available dataset from a non-African (Indians) (GSE166530) cohort. Overall, the study identifies immune signatures driving COVID-19 severity in Ghanaians that could serve as potential prognostic markers. It further provides preliminary evidence suggesting differences in antiviral response at the upper respiratory interface in sub-Saharan Africans (Ghanaians) and non-Africans (Indians), which could be contributing to the differences in disease outcomes. Further studies using a larger dataset from different populations will expand on these findings. Keywords: Nasopharyngeal swab, SARS-Cov-2, RNA-Seq, Ghanaians, immunological signatures
2023-08-07 | GSE215906 | GEO
Project description:Genome-wide DNA methylation analysis of COVID-19 severity using the Illumina HumanMethylationEPIC microarray platform to analyze over 850,000 methylation sites, comparing COVID-19 patients with patients presenting with respiratory symptoms, but negative for COVID-19, using whole blood tissue.
2021-05-31 | GSE174818 | GEO
Project description:Differences in symptom manifestation among COVID-19 patients are caused mainly by the host factors. Gene expression profiles from nasopharyngeal samples might provide a clue to dysregulated biological processes, causing a variety of severity levels. The metagenomic profile from nasopharyngeal tissue might also provide details of coinfection that might contribute to the severity. Hence, we performed total RNA sequencing from asymptomatic patients and patients with mild and severe illnesses. Severe groups were characterized by the upregulation of the complement gene MASP1, inflammatory cytokines CXCL5 and CXCL12, and the fibrosis markers COL1A1 and COL3A1. On the contrary, the lack of activation of the B cell immune response, T cell immune response, and the cell-surface antigen recognition and signaling process were found in this severe group.
2024-06-30 | GSE208342 | GEO
Project description:We used total RNA of nasopharyngeal swabs from COVID-19 patients to identify their gene expression profile. Multiple biological process were significantly enriched in either asymptomatic or mildly symptomatic patients. These significantly expressed genes were suggested to contribute to the severity of the disease. We also performed metagenomics analysis to identify differences in the microbiome profile of the two groups of patients.
2022-06-29 | GSE186651 | GEO
Project description:The 3p21.31 locus, which locus contains a chemokine receptor (CKR) cluster, is the most robust genomic region associated with COVID-19 severity. We tested expression quantitative trait loci (eQTL) targeting the 3p21.31 CKR cluster linked to COVID-19 hospitalization in Europeans from the COVID-19 HGI meta-analysis. Among these, CCRL2, a key regulator of neutrophil trafficking, was targeted by neutrophil-restricted eQTLs. We confirmed these eQTLs in an Italian COVID-19 cohort. Haplotype analysis revealed a link between an increased CCRL2 expression and COVID-19 severity and hospitalization. By the exposure of neutrophils to a TLR8 ligand, reflecting a viral infection, we revealed specific chromatin domains within the 3p21.31 locus exclusive to neutrophils. In addition, the identified variants mapped within these regions altered the binding motif of neutrophils expressed transcription factors. These results support that CCRL2 eQTL variants contribute to the risk of severe COVID-19 by selectively affecting neutrophil’s function
2025-01-22 | GSE269643 | GEO
Project description:Viral strains, age, and host factors including genetics and proteins are associated with variable immune responses against SARS-CoV-2 and disease severity. We hypothesized that unique proteins/pathways are associated with COVID-19 disease severity in Puerto Rican Hispanics. A total of 121 men and women aged 21-80 years-old were recruited in Puerto Rico. Plasma samples were collected from unvaccinated COVID-19 infected subjects during acute disease (n=39) and compared to COVID-19 negative individuals (n=56) during acute disease using proteomics and cytokine expression. Infected individuals were stratified based on symptomatology as follows: mild (n=18), moderate (n=13), and severe (n=8). Quantitative proteomics was performed in plasma samples using Tandem Mass Tag (TMT) labeling. Cytokines in plasma were quantified using a human cytokine array. Proteomics analyses revealed 56 differentially regulated proteins and the top 3 pathways that were predicted to be inhibited in severe patients including LXR/RXR signaling, Production of NO and ROS in macrophages, and Synaptogenesis signaling. Decreased cadherin-13 validated by ELISA, which participates in synaptogenesis, is a novel protein is a novel protein not previously reported in other studies of COVID-19 severity and validated by ELISA. Cytokine analyses showed that TNF⍺ levels decreased with disease severity. This study uncovers potential host predictors of COVID-19 severity and new avenues for treatment in Puerto Rican Hispanics.
2024-06-16 | PXD046103 | Pride
Project description:Using RNA-seq and high-resolution mass spectrometry we performed a comprehensive systems analysis on 128 plasma and leukocyte samples from hospitalized patients with or without COVID-19 (n=102 and 26 respectively) and with differing degrees of disease severity. We generated abundance measurements for over 17,000 transcripts, proteins, metabolites, and lipids and compiled them with clinical data into a curated relational database. This resource offers the unique opportunity to perform systems analysis and cross-ome correlations to both molecules and patient outcomes. In total 219 molecular features were mapped with high significance to COVID-19 status and severity, including those involved in processes such as complement system activation, dysregulated lipid transport, and B cell activation. In one example, we detected a trio of covarying molecules – citrate, plasmenyl-phosphatidylcholines, and gelsolin (GSN) – that offer both pathophysiological insight and potential novel therapeutic targets. Further, our data revealed in some cases, and supported in others, that several biological processes were dysregulated in COVID-19 patients including vessel damage, platelet activation and degranulation, blood coagulation, and acute phase response. For example, we observed that the coagulation-related protein, cellular fibronectin (cFN), was highly increased within COVID-19 patients and provide new evidence that the upregulated proteoform stems from endothelial cells, consistent with endothelial injury as a major activator of the coagulation cascade. The abundance of prothrombin, which is cleaved to form thrombin during clotting, was significantly reduced and correlated with severity and might help to explain the hyper coagulative environment of SARS-CoV-2 infection. From transcriptomic analysis of leukocytes, we concluded that COVID-19 patients with acute respiratory distress syndrome (ARDS) demonstrated a phenotype that overlapped with, but was distinct from, that found in patients with non-COVID-19-ARDS. To aid in the global efforts toward elucidation of disease pathophysiology and therapeutic development, we created a web-based tool with interactive visualizations allowing for easy navigation of this systems-level compendium of biomolecule abundance in relation to COVID-19 status and severity. Finally, we leveraged these multi-omic data to predict COVID-19 patient outcomes with machine learning, which highlighted the predictive power of these expansive molecular measurements beyond the standardized clinical estimate of 10-year survival Charlson score.
2020-08-29 | GSE157103 | GEO