Immune dysfunction in COVID-19 Associated Mucormycosis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA941219 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23705938_1.fastq.gz | Fastqsanger.gz | |||
| SRR23705938_2.fastq.gz | Fastqsanger.gz | |||
| SRR23705939_1.fastq.gz | Fastqsanger.gz | |||
| SRR23705939_2.fastq.gz | Fastqsanger.gz | |||
| SRR23705940_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 80 |
Similar Datasets
Project description:The coronavirus pandemic (COVID-19) is associated with secondary bacterial and fungal infections globally. In India, inappropriate use of glucocorticoids, high prevalence of diabetes mellitus and a conducive environment for fungal growth are considered as the main factors for increased incidence of COVID-19 associated mucormycosis (CAM). Few cases of CAM without steroid abuse and normal blood glucose levels were also reported during the pandemic. This study was designed to explore whether altered immune responses due to severe COVID-19 infection predisposes towards development of mucormycosis. The global transcriptome profiling of monocytes and granulocytic cells derived from CAM, Mucormycosis, COVID-19 and healthy control groups were performed to identify the differentially expressed genes (DEGs) involved in dysregulated host immune response towards respective diseased and healthy conditions.
2024-02-09 | GSE226677 | GEO
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
Project description:Unresolved Immune Dysfunction is Lethal in Both COVID-19 and non-COVID-19 Sepsis
| PRJNA921862 | ENA
Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections cause coronavirus disease 2019 (COVID-19) and are associated with inflammation and coagulopathy and high incidence of thrombosis. Myeloid cells (Mϕ) help coordinate the initial immune response in COVID-19. Although we appreciate that Mϕ lie at the nexus of inflammation and thrombosis, the mechanisms that unite the two in COVID-19 remain largely unknown. In this study, we employed systems biology approaches including proteomics, transcriptomics, and mass cytometry to define the circulating proteome and circulating immune cell phenotypes in subjects with COVID-19. In a cohort of COVID-19 subjects (n=35), circulating markers of inflammation (CCL23, IL-6) and vascular dysfunction (ACE2, tissue factor [TF]) were elevated in subjects with severe compared with mild COVID-19. Additionally, although the total white blood cell (WBC) counts were similar between COVID-19 groups, CD14+ monocytes from severe COVID-19 subjects expressed more TF. At baseline, transcriptomics demonstrated increased IL-6, CCL3, ACOD1, C5AR1, C5AR2, and TF in severe COVID-19 subjects compared with controls. Using “stress” transcriptomics, we found that circulating immune cells from severe COVID-19 subjects had evidence of profound immune paralysis with greatly reduced transcriptional activation and release of inflammatory markers in response to Toll-like receptor (TLR) activation. Finally, sera from severe (but not mild) COVID-19 subjects activated human monocytes and induced TF expression. Taken together, these observations further elucidate the pathological mechanisms that underlie immune dysfunction and coagulation abnormalities in COVID-19, contributing to our growing understanding of SARS-CoV-2 infections that could also be leveraged to develop novel diagnostic and therapeutic strategies.
2024-01-23 | GSE247186 | GEO
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
Project description:Multi-omics single-cell profiling of surface proteins, gene expression and lymphocyte immune receptors from hospitalised COVID-19 patient peripheral blood immune cells and healthy controls donors. Identification of the coordinated immune cell compositional and state changes in response to SARS-CoV-2 infection or LPS challenge, compared to healthy control immune cells.
2021-03-17 | E-MTAB-10026 | biostudies-arrayexpress
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
Project description:Endothelial cell infection and dysfunction, immune activation in severe COVID-19
| PRJNA734526 | ENA
Project description:Although a substantial proportion of severe COVID-19 pneumonia survivors exhibit long-term pulmonary sequalae, the underlying mechanisms or associated local and systemic immune correlates are not known. Here, we have performed high dimensional characterization of the pathophysiological and immune traits of aged COVID-19 convalescents, and correlated the local and systemic immune profiles with pulmonary function and lung imaging. In this cohort of aged COVID-19 convalescents, chronic lung impairment was accompanied by persistent systemic inflammation and respiratory immune alterations. Detailed evaluation of the lung immune compartment revealed dysregulated respiratory CD8+ T cell responses that likely underlie the impaired lung function following acute COVID-19 during aging. Single cell transcriptomic analysis identified the potential pathogenic subsets of respiratory CD8+ T cells causing persistent tissue conditions following COVID-19. Our results have revealed key pathophysiological and immune traits that support the development of lung sequelae following SARS-CoV2 pneumonia during aging, with implications for the treatment of chronic COVID-19 symptoms.
2021-09-17 | GSE176201 | GEO
Project description:Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk-factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data, and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific autoantibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.
2022-02-01 | E-MTAB-10129 | biostudies-arrayexpress