Project description:Single-cell RNA-seq of iPSC derived human kidney organoids. Single-nuclei RNA-seq data of COVID-19 patient autopsy kidney tissue. The current data was used to suggest that SARS-CoV-2 can directly infect kidney cells and induce cell injury as well as a pro-fibrotic environment which could explain acute kidney injury in COVID-19 patients and also long-term effects potentially leading to the development of chronic kidney disease.
Project description:Extrapulmonary manifestations of COVID-19 have gained attention, not only due to their links to clinical outcomes, but also due to their potential long-term sequelae1. Recent evidence has shown multi-organ tropism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including heart, kidney and liver2. Previous studies have shown that close to 20% of hospitalized patients with COVID-19 develop liver injury, showing an association to disease severity3. Here, we identified a high frequency of liver enzyme alterations at admission in COVID-19 patients who required hospitalization. Then, we characterized SARS-CoV-2 liver tropism in autopsy samples, based on the expression of cell-entry facilitators in parenchymal cells, clinical polymerase chain reaction (PCR) positivity, subgenomic SARS-CoV-2 identification using RNA sequencing, and viral RNA detection by in situ hybridization. Next, we unraveled the transcriptomic and proteomic landscape of SARS-CoV-2 liver tropism, revealing significant increases in interferon alpha and gamma signaling and compensatory liver-specific metabolic regulation. While these results reflect changes in tissues from patients with severe SARS-CoV-2 infection, these profound molecular alterations raise questions about the potential long-term consequences of COVID-19 infection.
Project description:SARS-CoV-2 infections initiate cytokine storms and activate genetic programs leading to progressive hyperinflammation in multiple organs of patients with COVID-19. While it is known that COVID-19 impacts kidney function, leading to increased mortality, cytokine response of renal epithelium has not been studied in detail. Here, we report on the genetic programs activated in human primary proximal tubule (HPPT) cells by interferons and their suppression by ruxolitinib, a Janus kinase (JAK) inhibitor used in COVID-19 treatment. Integration of our data with those from patients with acute kidney injury and COVID-19, as well as other tissues, permitted the identification of kidney-specific interferon responses. Additionally, we investigated the regulation of the recently discovered isoform (dACE2) of the angiotensin-converting enzyme 2 (ACE2), the SARS-CoV-2 receptor. Using ChIP-seq, we identified candidate interferon-activated enhancers controlling the ACE2 locus, including the intronic dACE2 promoter. Taken together, our study provides an in-depth understanding of genetic programs activated in kidney cells.
Project description:In children and younger adults up to 39 years of age, SARS-CoV-2 usually elicits mild symptoms that resemble the common cold. Disease severity increases with age starting at 30 and reaches astounding mortality rates that are ~330 fold higher in persons above 85 years of age compared to those 18-39 years old. To understand age-specific immune pathobiology of COVID-19 we have analyzed soluble mediators, cellular phenotypes, and transcriptome from over 80 COVID-19 patients of varying ages and disease severity, carefully controlling for age as a variable. We found that reticulocyte numbers and peripheral blood transcriptional signatures robustly correlated with disease severity. By contrast, decreased numbers and proportion of naïve T cells, reported previously as a COVID-19 severity risk factor, were found to be general features of aging and not of COVID-19 severity, as they readily occurred in older participants experiencing only mild or no disease at all. Single-cell transcriptional signatures across age and severity groups showed that severe but not moderate/mild COVID-19 causes cell stress response in different T cell populations, and some of that stress was unique to old severe participants, suggesting that in severe disease of older adults, these defenders of the organism may be disabled from performing immune protection. These findings shed new light on interactions between age and disease severity in COVID-19.
Project description:Impaired immunometabolic response in the elderly regulates inflammation-driven COVID-19 severity which confers the greatest risk of mortality. To investigate how aging compromises defense against COVID-19, we developed a model of natural murine beta coronavirus (mCoV) infection with mouse hepatitis virus strain A59 (mCoV-A59) that recapitulated majority of hallmarks of COVID-19. Aged mCoV-A59-infected mice have increased mortality and higher systemic inflammation in the heart, adipose tissue and hypothalamus, including neutrophilia and loss of γδ T cells in lungs. Ketogenic diet increases beta-hydroxybutyrate, expands tissue protective γδ T cells, deactivates the inflammasome and decreases pathogenic monocytes in lungs during aging. These data underscore the value of mCoV-A59 model to test mechanism and establishes harnessing of ketogenic immunometabolic checkpoint as potential treatment against COVID-19 in the elderly.
Project description:Impaired immunometabolic response in the elderly regulates inflammation-driven COVID-19 severity which confers the greatest risk of mortality. To investigate how aging compromises defense against COVID-19, we developed a model of natural murine beta coronavirus (mCoV) infection with mouse hepatitis virus strain A59 (mCoV-A59) that recapitulated majority of hallmarks of COVID-19. Aged mCoV-A59-infected mice have increased mortality and higher systemic inflammation in the heart, adipose tissue and hypothalamus, including neutrophilia and loss of γδ T cells in lungs. Ketogenic diet increases beta-hydroxybutyrate, expands tissue protective γδ T cells, deactivates the inflammasome and decreases pathogenic monocytes in lungs during aging. These data underscore the value of mCoV-A59 model to test mechanism and establishes harnessing of ketogenic immunometabolic checkpoint as potential treatment against COVID-19 in the elderly.
Project description:Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk-factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data, and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific autoantibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.
Project description:The clinical course of Coronavirus disease 2019 (COVID-19) displays a wide variability, ranging from completely asymptomatic forms to diseases associated with severe clinical outcomes. To reduce the incidence COVID-19 severe outcomes, innovative molecular biomarkers are needed to improve the stratification of patients at the highest risk of mortality and to better customize therapeutic strategies. MicroRNAs associated with COVID-19 outcomes could allow quantifying the risk of severe outcomes and developing models for predicting outcomes, thus helping to customize the most aggressive therapeutic strategies for each patient. Here, we analyzed the circulating miRNA profiles in a set of 12 hospitalized patients with severe COVID-19, with the aim to identify miRNAs associated with in-hospital mortality.
Project description:Immune system dysfunction is paramount in Coronavirus disease 2019 (COVID-19) severity and fatality rate. MAIT cells are innate-like T cells involved in mucosal immunity and protection against viral infections. Here, we studied the immune cell landscape, with emphasis on MAIT cells, in cohorts of 208 patients at various stages of disease activity. MAIT cell frequency is strongly reduced in blood. They display a strong activated and cytotoxic phenotype that is more pronounced in lungs. Blood MAIT cell alterations positively correlate with other innate cell activation; pro-inflammatory cytokines, notably IL-18; and with the severity and mortality of SARS-CoV-2 infection. We also identified a monocyte/macrophage Interferon-a-IL-18 cytokine shift and the ability of infected macrophages to induce cytotoxicity of MAIT cells in an MR1-dependent manner. Together our results suggest that altered MAIT cell functions due to IFN-a-IL-18 imbalance contribute to disease severity and their therapeutic manipulation might prevent deleterious inflammation in COVID-19 aggravation.
Project description:Patients often present with kidney injury in COVID-19. Although severe COVID-19 cases are treated with baricitinib, a JAK inhibitor, the effects of baricitinib on the kidneys in COVID-19 are unclear. The authors examined the pharmacological effects of baricitinib on kidney injury using an in vivo murine COVID-19 model.