ABSTRACT
INTRODUCTION: Patients with inflammatory bowel disease (IBD) are predisposed to the reactivation of viral infections such as cytomegalo virus (CMV). Clinical discrimination of disease flares and colonic CMV reactivation is difficult in patients with established diagnosis of IBD and there are no reliable non-invasive diagnostic tools yet. Further, the influence of novel therapeutics including biologicals and Janus kinase (JAK) inhibitors on the risk of CMV colitis is unclear. The goal of this study was to identify risk factors and clinical determinants of CMV colitis that could serve as minimally invasive markers both for active CMV colitis and relapse. METHODS: To this end, a retrospective analysis of 376 patients with suspected or confirmed CMV colitis 2016-2023 was performed. RESULTS: Previous administration of systemic steroids increased the odds of CMV colitis to OR 4.6. Biologicals did not change the incidence of CMV colitis but decreased the OR of a relapse to 0.13. Clinical parameters such as severely bloody diarrhea, intense microscopic ulcerative damage and decreased serum tryptophan correlated with detection of CMV. Importantly, persistent decrease of tryptophan was observed in patients with CMV relapse. Further, tryptophan degradation via the kynurenine pathway was increased in CMV positive patients. CONCLUSIONS: Taken together, we identify decreased serum tryptophan as a novel potential minimally invasive marker to aid identification of IBD patients with active CMV colitis and at high-risk for relapse.
ABSTRACT
Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of a well-characterized cohort of 3,260 COVID-19 patients with respiratory failure and 12,483 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen (HLA) region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a highly pleiotropic [~]0.9-Mb inversion polymorphism and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung.
ABSTRACT
Coronavirus disease 2019 (COVID-19) displays high clinical variability but the parameters that determine disease severity are still unclear. Pre-existing T cell memory has been hypothesized as a protective mechanism but conclusive evidence is lacking. Here we demonstrate that all unexposed individuals harbor SARS-CoV-2-specific memory T cells with marginal cross-reactivity to common cold corona and other unrelated viruses. They display low functional avidity and broad protein target specificities and their frequencies correlate with the overall size of the CD4+ memory compartment reflecting the "immunological age" of an individual. COVID-19 patients have strongly increased SARS-CoV-2-specific inflammatory T cell responses that are correlated with severity. Strikingly however, patients with severe COVID-19 displayed lower TCR functional avidity and less clonal expansion. Our data suggest that a low avidity pre-existing T cell memory negatively impacts on the T cell response quality against neoantigens such as SARS-CoV-2, which may predispose to develop inappropriate immune reactions especially in the elderly. We propose the immunological age as an independent risk factor to develop severe COVID-19. Key points- Pre-existing SARS-CoV-2-reactive memory T cells are present in all humans, but have low functional avidity and broad target specificities - Pre-existing memory T cells show only marginal cross-reactivity to common cold corona viruses - Frequencies of pre-existing memory T cells increase with the size of the CD4+ memory compartment reflecting the "immunological age" of the individual - Low-avidity and polyclonal, but strongly enhanced SARS-CoV-2 specific T cell responses develop in severe COVID-19, suggesting their origin from pre-existing memory - The immunological age may represent a risk factor to develop severe COVID-19
ABSTRACT
The pandemic spread of the potentially life-threatening disease COVID-19 requires a thorough understanding of the longitudinal dynamics of host responses. Temporal resolution of cellular features associated with a severe disease trajectory will be a pre-requisite for finding disease outcome predictors. Here, we performed a longitudinal multi-omics study using a two-centre German cohort of 13 patients (from Cologne and Kiel, cohort 1). We analysed the bulk transcriptome, bulk DNA methylome, and single-cell transcriptome (>358,000 cells, including BCR profiles) of peripheral blood samples harvested from up to 5 time points. The results from single-cell and bulk transcriptome analyses were validated in two independent cohorts of COVID-19 patients from Bonn (18 patients, cohort 2) and Nijmegen (40 patients, cohort 3), respectively. We observed an increase of proliferating, activated plasmablasts in severe COVID-19, and show a distinct expression pattern related to a hyperactive cellular metabolism of these cells. We further identified a notable expansion of type I IFN-activated circulating megakaryocytes and their progenitors, indicative of emergency megakaryopoiesis, which was confirmed in cohort 2. These changes were accompanied by increased erythropoiesis in the critical phase of the disease with features of hypoxic signalling. Finally, projecting megakaryocyte- and erythroid cell-derived co-expression modules to longitudinal blood transcriptome samples from cohort 3 confirmed an association of early temporal changes of these features with fatal COVID-19 disease outcome. In sum, our longitudinal multi-omics study demonstrates distinct cellular and gene expression dynamics upon SARS-CoV-2 infection, which point to metabolic shifts of circulating immune cells, and reveals changes in megakaryocytes and increased erythropoiesis as important outcome indicators in severe COVID-19 patients.
