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1.
Cells ; 10(10)2021 10 14.
Статья в английский | MEDLINE | ID: covidwho-1470798

Реферат

Basophils and mast cells are among the principal inducers of Th2 responses and have a crucial role in allergic and anti-parasitic protective immunity. Basophils can function as antigen-presenting cells that bind antigens on their surface and boost humoral immune responses, inducing Th2 cell differentiation. Their depletion results in lower humoral memory activation and greater infection susceptibility. Basophils seem to have an active role upon immune response to SARS-CoV-2. In fact, a coordinate adaptive immune response to SARS-CoV-2 is magnified by basophils. It has been observed that basophil amount is lower during acute disease with respect to the recovery phase and that the grade of this depletion is an important determinant of the antibody response to the virus. Moreover, mast cells, present in a great quantity in the nasal epithelial and lung cells, participate in the first immune response to SARS-CoV-2. Their activation results in a hyperinflammatory syndrome through the release of inflammatory molecules, participating to the "cytokine storm" and, in a longer period, inducing pulmonary fibrosis. The literature data suggest that basophil counts may be a useful prognostic tool for COVID-19, since their reduction is associated with a worse prognosis. Mast cells, on the other hand, represent a possible therapeutic target for reducing the airway inflammation characteristic of the hyperacute phase of the disease.


Тема - темы
Basophils/cytology , COVID-19/immunology , COVID-19/physiopathology , Mast Cells/cytology , Adaptive Immunity , Animals , COVID-19/blood , Cell Differentiation , Cytokines/metabolism , Granulocytes/cytology , Humans , Hypersensitivity/metabolism , Immune System , Immunity, Humoral , Immunity, Innate , Inflammation , Macrophages/cytology , Mice , SARS-CoV-2 , Th17 Cells/cytology , Th2 Cells/cytology
2.
EMBO Mol Med ; 13(6): e14045, 2021 06 07.
Статья в английский | MEDLINE | ID: covidwho-1219070

Реферат

The immune responses and mechanisms limiting symptom progression in asymptomatic cases of SARS-CoV-2 infection remain unclear. We comprehensively characterized transcriptomic profiles, cytokine responses, neutralization capacity of antibodies, and cellular immune phenotypes of asymptomatic patients with acute SARS-CoV-2 infection to identify potential protective mechanisms. Compared to symptomatic patients, asymptomatic patients had higher counts of mature neutrophils and lower proportion of CD169+ expressing monocytes in the peripheral blood. Systemic levels of pro-inflammatory cytokines were also lower in asymptomatic patients, accompanied by milder pro-inflammatory gene signatures. Mechanistically, a more robust systemic Th2 cell signature with a higher level of virus-specific Th17 cells and a weaker yet sufficient neutralizing antibody profile against SARS-CoV-2 was observed in asymptomatic patients. In addition, asymptomatic COVID-19 patients had higher systemic levels of growth factors that are associated with cellular repair. Together, the data suggest that asymptomatic patients mount less pro-inflammatory and more protective immune responses against SARS-CoV-2 indicative of disease tolerance. Insights from this study highlight key immune pathways that could serve as therapeutic targets to prevent disease progression in COVID-19.


Тема - темы
COVID-19/pathology , Carrier State/immunology , Biomarkers/metabolism , Brain-Derived Neurotrophic Factor/metabolism , COVID-19/immunology , COVID-19/virology , Carrier State/pathology , Carrier State/virology , Cytokines/metabolism , Humans , Monocytes/cytology , Monocytes/immunology , Monocytes/metabolism , Neutrophils/cytology , Neutrophils/immunology , Neutrophils/metabolism , SARS-CoV-2/isolation & purification , Th17 Cells/cytology , Th17 Cells/immunology , Th17 Cells/metabolism , Transcriptome , Up-Regulation , Vascular Endothelial Growth Factor D/metabolism
3.
Cell Res ; 31(3): 272-290, 2021 03.
Статья в английский | MEDLINE | ID: covidwho-1039635

Реферат

How the innate and adaptive host immune system miscommunicate to worsen COVID-19 immunopathology has not been fully elucidated. Here, we perform single-cell deep-immune profiling of bronchoalveolar lavage (BAL) samples from 5 patients with mild and 26 with critical COVID-19 in comparison to BALs from non-COVID-19 pneumonia and normal lung. We use pseudotime inference to build T-cell and monocyte-to-macrophage trajectories and model gene expression changes along them. In mild COVID-19, CD8+ resident-memory (TRM) and CD4+ T-helper-17 (TH17) cells undergo active (presumably antigen-driven) expansion towards the end of the trajectory, and are characterized by good effector functions, while in critical COVID-19 they remain more naïve. Vice versa, CD4+ T-cells with T-helper-1 characteristics (TH1-like) and CD8+ T-cells expressing exhaustion markers (TEX-like) are enriched halfway their trajectories in mild COVID-19, where they also exhibit good effector functions, while in critical COVID-19 they show evidence of inflammation-associated stress at the end of their trajectories. Monocyte-to-macrophage trajectories show that chronic hyperinflammatory monocytes are enriched in critical COVID-19, while alveolar macrophages, otherwise characterized by anti-inflammatory and antigen-presenting characteristics, are depleted. In critical COVID-19, monocytes contribute to an ATP-purinergic signaling-inflammasome footprint that could enable COVID-19 associated fibrosis and worsen disease-severity. Finally, viral RNA-tracking reveals infected lung epithelial cells, and a significant proportion of neutrophils and macrophages that are involved in viral clearance.


Тема - темы
Adaptive Immunity , Bronchoalveolar Lavage , COVID-19/diagnosis , COVID-19/immunology , Immunity, Innate , Single-Cell Analysis , Bronchoalveolar Lavage Fluid , CD4-Positive T-Lymphocytes/cytology , CD8-Positive T-Lymphocytes/cytology , Cell Communication , Gene Expression Profiling , Humans , Lung/virology , Macrophages, Alveolar/cytology , Monocytes/cytology , Neutrophils/cytology , Phenotype , Principal Component Analysis , RNA-Seq , Th17 Cells/cytology
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