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1.
Front Immunol ; 14: 1113932, 2023.
Article in English | MEDLINE | ID: covidwho-2268526

ABSTRACT

Introduction: The emergence of SARS-CoV-2, which causes COVID-19, has led to over 400 million reported cases worldwide. COVID-19 disease ranges from asymptomatic infection to severe disease and may be impacted by individual immune differences. Methods: We used multiparameter flow cytometry to compare CD4+ and CD8+ T cell responses in severe (ICU admitted) and non-severe (admitted to observational unit) hospitalized COVID-19 patients. Results: We found that patients with severe COVID- 19 had greater frequencies of CD4+ T cells expressing CD62L compared to non-severe patients and greater frequencies of perforin+ CD8+ T cells compared to recovered patients. Furthermore, greater frequencies of CD62L+ CD4+ and CD8+ T cells were seen in severely ill diabetic patients compared to non-severe and non-diabetic patients, and increased CD62L+ CD4+ T cells were also seen in severely ill patients with hypertension. Discussion: This is the first report to show that CD62L+ T cells and perforin+ T cells are associated with severe COVID-19 illness and are significantly increased in patients with high-risk pre-existing conditions including older age and diabetes. These data provide a potential biological marker for severe COVID-19.


Subject(s)
COVID-19 , Humans , CD4-Positive T-Lymphocytes , CD8-Positive T-Lymphocytes , Perforin , SARS-CoV-2 , Patient Acuity , L-Selectin/immunology
2.
Proc Natl Acad Sci U S A ; 119(11)2022 03 15.
Article in English | MEDLINE | ID: covidwho-1713294

ABSTRACT

The impacts of interferon (IFN) signaling on COVID-19 pathology are multiple, with both protective and harmful effects being documented. We report here a multiomics investigation of systemic IFN signaling in hospitalized COVID-19 patients, defining the multiomics biosignatures associated with varying levels of 12 different type I, II, and III IFNs. The antiviral transcriptional response in circulating immune cells is strongly associated with a specific subset of IFNs, most prominently IFNA2 and IFNG. In contrast, proteomics signatures indicative of endothelial damage and platelet activation associate with high levels of IFNB1 and IFNA6. Seroconversion and time since hospitalization associate with a significant decrease in a specific subset of IFNs. Additionally, differential IFN subtype production is linked to distinct constellations of circulating myeloid and lymphoid immune cell types. Each IFN has a unique metabolic signature, with IFNG being the most associated with activation of the kynurenine pathway. IFNs also show differential relationships with clinical markers of poor prognosis and disease severity. For example, whereas IFNG has the strongest association with C-reactive protein and other immune markers of poor prognosis, IFNB1 associates with increased neutrophil to lymphocyte ratio, a marker of late severe disease. Altogether, these results reveal specialized IFN action in COVID-19, with potential diagnostic and therapeutic implications.


Subject(s)
Blood/metabolism , COVID-19/immunology , Interferons/blood , Proteome , Transcriptome , COVID-19/blood , Case-Control Studies , Datasets as Topic , Humans , Inpatients
3.
Cell Rep ; 36(7): 109527, 2021 08 17.
Article in English | MEDLINE | ID: covidwho-1330685

ABSTRACT

COVID-19 pathology involves dysregulation of diverse molecular, cellular, and physiological processes. To expedite integrated and collaborative COVID-19 research, we completed multi-omics analysis of hospitalized COVID-19 patients, including matched analysis of the whole-blood transcriptome, plasma proteomics with two complementary platforms, cytokine profiling, plasma and red blood cell metabolomics, deep immune cell phenotyping by mass cytometry, and clinical data annotation. We refer to this multidimensional dataset as the COVIDome. We then created the COVIDome Explorer, an online researcher portal where the data can be analyzed and visualized in real time. We illustrate herein the use of the COVIDome dataset through a multi-omics analysis of biosignatures associated with C-reactive protein (CRP), an established marker of poor prognosis in COVID-19, revealing associations between CRP levels and damage-associated molecular patterns, depletion of protective serpins, and mitochondrial metabolism dysregulation. We expect that the COVIDome Explorer will rapidly accelerate data sharing, hypothesis testing, and discoveries worldwide.


Subject(s)
COVID-19/genetics , COVID-19/metabolism , Databases, Genetic , Metabolome , Proteome , Transcriptome , Access to Information , Adult , COVID-19/immunology , Case-Control Studies , Data Mining , Datasets as Topic , Female , Gene Expression Profiling , Humans , Male , Metabolomics , Middle Aged , Proteomics , Young Adult
4.
Elife ; 102021 03 16.
Article in English | MEDLINE | ID: covidwho-1136623

ABSTRACT

COVID19 is a heterogeneous medical condition involving diverse underlying pathophysiological processes including hyperinflammation, endothelial damage, thrombotic microangiopathy, and end-organ damage. Limited knowledge about the molecular mechanisms driving these processes and lack of staging biomarkers hamper the ability to stratify patients for targeted therapeutics. We report here the results of a cross-sectional multi-omics analysis of hospitalized COVID19 patients revealing that seroconversion status associates with distinct underlying pathophysiological states. Low antibody titers associate with hyperactive T cells and NK cells, high levels of IFN alpha, gamma and lambda ligands, markers of systemic complement activation, and depletion of lymphocytes, neutrophils, and platelets. Upon seroconversion, all of these processes are attenuated, observing instead increases in B cell subsets, emergency hematopoiesis, increased D-dimer, and hypoalbuminemia. We propose that seroconversion status could potentially be used as a biosignature to stratify patients for therapeutic intervention and to inform analysis of clinical trial results in heterogenous patient populations.


Subject(s)
COVID-19/epidemiology , COVID-19/virology , SARS-CoV-2 , Seroconversion , Biomarkers , COVID-19/immunology , COVID-19/metabolism , Comorbidity , Complement Activation/immunology , Complement System Proteins/immunology , Hematopoiesis , Homeostasis , Hospitalization , Humans , Hypoalbuminemia , Interferons/metabolism , Models, Biological , Seroepidemiologic Studies , Signal Transduction
5.
Cell Rep ; 33(7): 108407, 2020 11 17.
Article in English | MEDLINE | ID: covidwho-927290

ABSTRACT

Individuals with Down syndrome (DS; trisomy 21) display hyperactivation of interferon (IFN) signaling and chronic inflammation, which could potentially be explained by the extra copy of four IFN receptor (IFNR) genes encoded on chromosome 21. However, the clinical effects of IFN hyperactivity in DS remain undefined. Here, we report that a commonly used mouse model of DS overexpresses IFNR genes and shows hypersensitivity to IFN ligands in diverse immune cell types. When treated repeatedly with a TLR3 agonist to induce chronic inflammation, these animals overexpress key IFN-stimulated genes, induce cytokine production, exhibit liver pathology, and undergo rapid weight loss. Importantly, the lethal immune hypersensitivity and cytokine production and the ensuing pathology are ameliorated by JAK1 inhibition. These results indicate that individuals with DS may experience harmful hyperinflammation upon IFN-inducing immune stimuli, as observed during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, pointing to JAK1 inhibition as a strategy to restore immune homeostasis in DS.


Subject(s)
Azetidines/therapeutic use , Down Syndrome/immunology , Hypersensitivity/drug therapy , Janus Kinase 1/antagonists & inhibitors , Janus Kinase 2/antagonists & inhibitors , Protein Kinase Inhibitors/therapeutic use , Sulfonamides/therapeutic use , Animals , Down Syndrome/complications , Female , Hypersensitivity/etiology , Hypersensitivity/immunology , Immunity, Innate , Interferon-alpha/metabolism , Liver/immunology , Male , Mice , Mice, Inbred C57BL , Purines , Pyrazoles , Toll-Like Receptors/metabolism
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