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1.
Cytokine ; 152: 155810, 2022 04.
Article in English | MEDLINE | ID: covidwho-1719582

ABSTRACT

Genome-wide association studies have recently identified 3p21.31, with lead variant pointing to the CXCR6 gene, as the strongest thus far reported susceptibility risk locus for severe manifestation of COVID-19. In order the determine its role, we measured plasma levels of Chemokine (C-X-C motif) ligand 16 (CXCL16) in the plasma of COVID-19 hospitalized patients. CXCL16 interacts with CXCR6 promoting chemotaxis or cell adhesion. The CXCR6/CXCL16 axis mediates homing of T cells to the lungs in disease and hyper-expression is associated with localised cellular injury. To characterize the CXCR6/CXCL16 axis in the pathogenesis of severe COVID-19, plasma concentrations of CXCL16 collected at baseline from 115 hospitalized COVID-19 patients participating in ODYSSEY COVID-19 clinical trial were assessed together with a set of controls. We report elevated levels of CXCL16 in a cohort of COVID-19 hospitalized patients. Specifically, we report significant elevation of CXCL16 plasma levels in association with severity of COVID-19 (as defined by WHO scale) (P-value < 0.02). Our current study is the largest thus far study reporting CXCL16 levels in COVID-19 hospitalized patients (with whole-genome sequencing data available). The results further support the significant role of the CXCR6/CXCL16 axis in the immunopathogenesis of severe COVID-19 and warrants further studies to understand which patients would benefit most from targeted treatments.


Subject(s)
COVID-19/blood , Chemokine CXCL16/blood , SARS-CoV-2/metabolism , Aged , COVID-19/genetics , COVID-19/immunology , Chemokine CXCL16/genetics , Chemokine CXCL16/immunology , Female , Humans , Male , Middle Aged , Patient Acuity , Receptors, CXCR6/blood , Receptors, CXCR6/genetics , Receptors, CXCR6/immunology , Signal Transduction/genetics , Signal Transduction/immunology
2.
Genome Med ; 14(1): 16, 2022 02 17.
Article in English | MEDLINE | ID: covidwho-1690882

ABSTRACT

BACKGROUND: Understanding the host genetic architecture and viral immunity contributes to the development of effective vaccines and therapeutics for controlling the COVID-19 pandemic. Alterations of immune responses in peripheral blood mononuclear cells play a crucial role in the detrimental progression of COVID-19. However, the effects of host genetic factors on immune responses for severe COVID-19 remain largely unknown. METHODS: We constructed a computational framework to characterize the host genetics that influence immune cell subpopulations for severe COVID-19 by integrating GWAS summary statistics (N = 969,689 samples) with four independent scRNA-seq datasets containing healthy controls and patients with mild, moderate, and severe symptom (N = 606,534 cells). We collected 10 predefined gene sets including inflammatory and cytokine genes to calculate cell state score for evaluating the immunological features of individual immune cells. RESULTS: We found that 34 risk genes were significantly associated with severe COVID-19, and the number of highly expressed genes increased with the severity of COVID-19. Three cell subtypes that are CD16+monocytes, megakaryocytes, and memory CD8+T cells were significantly enriched by COVID-19-related genetic association signals. Notably, three causal risk genes of CCR1, CXCR6, and ABO were highly expressed in these three cell types, respectively. CCR1+CD16+monocytes and ABO+ megakaryocytes with significantly up-regulated genes, including S100A12, S100A8, S100A9, and IFITM1, confer higher risk to the dysregulated immune response among severe patients. CXCR6+ memory CD8+ T cells exhibit a notable polyfunctionality including elevation of proliferation, migration, and chemotaxis. Moreover, we observed an increase in cell-cell interactions of both CCR1+ CD16+monocytes and CXCR6+ memory CD8+T cells in severe patients compared to normal controls among both PBMCs and lung tissues. The enhanced interactions of CXCR6+ memory CD8+T cells with epithelial cells facilitate the recruitment of this specific population of T cells to airways, promoting CD8+T cell-mediated immunity against COVID-19 infection. CONCLUSIONS: We uncover a major genetics-modulated immunological shift between mild and severe infection, including an elevated expression of genetics-risk genes, increase in inflammatory cytokines, and of functional immune cell subsets aggravating disease severity, which provides novel insights into parsing the host genetic determinants that influence peripheral immune cells in severe COVID-19.


Subject(s)
CD8-Positive T-Lymphocytes/virology , COVID-19/genetics , COVID-19/pathology , Monocytes/virology , Single-Cell Analysis/methods , COVID-19/immunology , Computational Biology/methods , GPI-Linked Proteins/metabolism , Genetic Predisposition to Disease , Genome-Wide Association Study , Humans , Megakaryocyte Progenitor Cells/immunology , Megakaryocyte Progenitor Cells/virology , Monocytes/metabolism , Quantitative Trait Loci , Receptors, CCR1/immunology , Receptors, CCR1/metabolism , Receptors, CXCR6/immunology , Receptors, CXCR6/metabolism , Receptors, IgG/metabolism , Sequence Analysis, RNA , Severity of Illness Index
3.
Hum Genet ; 140(9): 1313-1328, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1279450

ABSTRACT

The coronavirus disease 2019 (COVID-19) is an infectious disease that mainly affects the host respiratory system with ~ 80% asymptomatic or mild cases and ~ 5% severe cases. Recent genome-wide association studies (GWAS) have identified several genetic loci associated with the severe COVID-19 symptoms. Delineating the genetic variants and genes is important for better understanding its biological mechanisms. We implemented integrative approaches, including transcriptome-wide association studies (TWAS), colocalization analysis, and functional element prediction analysis, to interpret the genetic risks using two independent GWAS datasets in lung and immune cells. To understand the context-specific molecular alteration, we further performed deep learning-based single-cell transcriptomic analyses on a bronchoalveolar lavage fluid (BALF) dataset from moderate and severe COVID-19 patients. We discovered and replicated the genetically regulated expression of CXCR6 and CCR9 genes. These two genes have a protective effect on lung, and a risk effect on whole blood, respectively. The colocalization analysis of GWAS and cis-expression quantitative trait loci highlighted the regulatory effect on CXCR6 expression in lung and immune cells. In the lung-resident memory CD8+ T (TRM) cells, we found a 2.24-fold decrease of cell proportion among CD8+ T cells and lower expression of CXCR6 in the severe patients than moderate patients. Pro-inflammatory transcriptional programs were highlighted in the TRM cellular trajectory from moderate to severe patients. CXCR6 from the 3p21.31 locus is associated with severe COVID-19. CXCR6 tends to have a lower expression in lung TRM cells of severe patients, which aligns with the protective effect of CXCR6 from TWAS analysis.


Subject(s)
CD8-Positive T-Lymphocytes/immunology , COVID-19 , Immunologic Memory/genetics , Lung/immunology , Quantitative Trait Loci/immunology , Receptors, CXCR6 , SARS-CoV-2/immunology , Transcriptome/immunology , COVID-19/genetics , COVID-19/immunology , Female , Genome-Wide Association Study , Humans , Lung/virology , Male , Receptors, CCR/genetics , Receptors, CCR/immunology , Receptors, CXCR6/genetics , Receptors, CXCR6/immunology , Risk Factors , Severity of Illness Index
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