Project description:Immune characteristics associated with Coronavirus Disease-2019 (COVID-19) severity are currently unclear. We characterized bronchoalveolar lavage fluid (BALF) immune cells from patients with varying severity of COVID-19 disease and from healthy subjects using single-cell RNA-sequencing. Proinflammatory monocyte-derived macrophages were abundant in the BALF from severe COVID-9 patients. Moderate cases were characterized by the presence of highly clonally expanded tissue-resident CD8+ T cells. This atlas of the bronchoalveolar immune-microenvironment suggests potential mechanisms underlying pathogenesis and recovery in COVID-19.
Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel viral pathogen that causes a clinical disease called coronavirus disease 2019 (COVID-19). Approximately 20% of infected patients experience a severe manifestation of the disease, causing bilateral pneumonia and acute respiratory distress syndrome. Severe COVID-19 patients also have a pronounced coagulopathy with approximately 30% of patients experiencing thromboembolic complications. However, the cellular etiology driving the coagulopathy remains unknown. Here, we explore whether the prominent neutrophilia seen in severe COVID-19 patients contributes to inflammation-associated coagulation. We found in severe patients the emergence of a CD16Int low-density inflammatory band (LDIB) neutrophil population that trends over time with changes in disease status. These cells demonstrated spontaneous neutrophil extracellular trap (NET) formation, higher phagocytic capacity, enhanced cytokine production, and associated clinically with D-dimer, ferritin, and systemic IL-6 and TNF-α levels. Strikingly, LDIB neutrophils are the major immune cells within the bronchoalveolar lavage (BAL) fluid with increased CXCR3 and loss of CD44 and CD38 expression. We conclude that the LDIB subset contributes to COVID- 19-associated coagulopathy (CAC) and systemic inflammation and could be used as an adjunct clinical marker to monitor disease status and progression. Identifying patients who are trending towards LDIB crisis and implementing early, appropriate treatment could improve all-cause mortality rates for severe COVID-19 patients.
Project description:Patients suffering from Coronavirus disease 2019 (COVID-19) can develop neurological sequelae, such as headache, neuroinflammatory or cerebrovascular disease. These conditions - here termed Neuro-COVID - are more frequent in patients with severe COVID-19. To understand the etiology of these neurological sequelae, we utilized single-cell sequencing and examined the immune cell profiles from the cerebrospinal fluid (CSF) of Neuro-COVID patients compared to patients with non-inflammatory and autoimmune neurological diseases or with viral encephalitis. The CSF of Neuro-COVID patients exhibited an expansion of dedifferentiated monocytes and of exhausted CD4+ T cells. Neuro-COVID CSF leukocytes featured an enriched interferon signature; however, this was less pronounced than in viral encephalitis. Repertoire analysis revealed broad clonal T cell expansion and curtailed interferon response in severe compared to mild Neuro-COVID patients. Collectively, our findings document the CSF immune compartment in Neuro-COVID patients and suggest compromised antiviral responses in this setting.
Project description:We found that histone H4 is a potential biomarker of COVID-19 pathogenesis. Bulk RNA-sequencing of endothelial cell samples from idiopathic pulmonary fibrosis (IPF) and chronic obstructive pulmonary disease (COPD) patients as well as controls was used in addition to published sequencing data from peripheral blood mononuclear cells or bronchoalveolar lavage fluid cells from COVID-19 and IPF patients as well as controls.
Project description:As many as 10–30% of the nearly 750 million survivors of COVID-19 develop persistent symptoms that define the post-acute sequelae of COVID-19 (PASC) syndrome. To understand the molecular basis of this syndrome, we combined a machine learning based analysis of lung computed tomography (CT) with flow cytometry and single cell RNA-sequencing analysis of bronchoalveolar lavage fluid and nasal curettage samples in a cohort of thirty-five patients with respiratory symptoms and radiographic abnormalities more than 90 days after infection with COVID-19. CT images from patients with PASC revealed primarily fibrotic abnormalities involving 73 +/- 28% of the lung, most of which improved on subsequent imaging. The presence of profibrotic monocyte-derived alveolar macrophages in BAL fluid was significantly associated with increased levels of alveolar cytokines and fibrotic abnormalities on CT. Persistent infection with SARS-CoV-2 was identified in 6 patients and secondary bacterial or viral infections in two others. These findings suggest persistent alveolar inflammation characterized by the ongoing recruitment of monocyte derived alveolar macrophages is associated with fibrotic CT changes in some COVID-19 survivors with implications for diagnosis and therapy.
Project description:As many as 10–30% of the nearly 750 million survivors of COVID-19 develop persistent symptoms that define the post-acute sequelae of COVID-19 (PASC) syndrome. To understand the molecular basis of this syndrome, we combined a machine learning based analysis of lung computed tomography (CT) with flow cytometry and single cell RNA-sequencing analysis of bronchoalveolar lavage fluid and nasal curettage samples in a cohort of thirty-five patients with respiratory symptoms and radiographic abnormalities more than 90 days after infection with COVID-19. CT images from patients with PASC revealed primarily fibrotic abnormalities involving 73 +/- 28% of the lung, most of which improved on subsequent imaging. The presence of profibrotic monocyte-derived alveolar macrophages in BAL fluid was significantly associated with increased levels of alveolar cytokines and fibrotic abnormalities on CT. Persistent infection with SARS-CoV-2 was identified in 6 patients and secondary bacterial or viral infections in two others. These findings suggest persistent alveolar inflammation characterized by the ongoing recruitment of monocyte derived alveolar macrophages is associated with fibrotic CT changes in some COVID-19 survivors with implications for diagnosis and therapy.
Project description:As many as 10–30% of the nearly 750 million survivors of COVID-19 develop persistent symptoms that define the post-acute sequelae of COVID-19 (PASC) syndrome. To understand the molecular basis of this syndrome, we combined a machine learning based analysis of lung computed tomography (CT) with flow cytometry and single cell RNA-sequencing analysis of bronchoalveolar lavage fluid and nasal curettage samples in a cohort of thirty-five patients with respiratory symptoms and radiographic abnormalities more than 90 days after infection with COVID-19. CT images from patients with PASC revealed primarily fibrotic abnormalities involving 73 +/- 28% of the lung, most of which improved on subsequent imaging. The presence of profibrotic monocyte-derived alveolar macrophages in BAL fluid was significantly associated with increased levels of alveolar cytokines and fibrotic abnormalities on CT. Persistent infection with SARS-CoV-2 was identified in 6 patients and secondary bacterial or viral infections in two others. These findings suggest persistent alveolar inflammation characterized by the ongoing recruitment of monocyte derived alveolar macrophages is associated with fibrotic CT changes in some COVID-19 survivors with implications for diagnosis and therapy.
Project description:Red blood cells (RBC) depleted whole blood from COVID-19 patients and controls was harvested and processed in order to performed 10X single cell RNA-seq. For COVID-19 patients 2 samples 10 days a part were analyzed.
Project description:Hyperinflammation contributes to lung injury and subsequent acute respiratory distress syndrome (ARDS) with high mortality in severe COVID-19. To understand the underlying mechanisms, we investigated the role of the lung-specific immune response. Here we profiled lymphocytes and myeloid cells in the bronchoalveolar lavage (BAL) fluid and blood of COVID-19 patients. By tracking T cell clones across tissues, we identified clonally expanded tissue-resident memory-like Th17 cells (Trm17 cells) in the lung even after viral clearance. These Trm17 cells are characterized by a potentially pathogenic cytokine profile with expression of IL17A and CSF2 (GM-CSF). Interactome analysis revealed that Trm17 cells interact with macrophages and cytotoxic CD8+ T cells, which have been associated with disease severity and lung damage. High IL-17A and GM-CSF protein levels in the serum of COVID-19 patients correlated with severe clinical course. This study suggests pulmonary Trm17 cells as one of the orchestrators of the hyperinflammation in severe COVID-19 and that these cells and their cytokines, such as GM-CSF, are promising biomarkers and potential targets for a COVID-19 therapy.
Project description:Analysis of COVID-19 hospitalized patients, with different kind of symptoms, by human rectal swabs collection and 16S sequencing approach.