Project description:Innate and adaptive immune cells modulate heart failure pathogenesis during viral myocarditis, yet their identity and functions remain poorly defined. In this study we characterized the phenotype, life-cycle and function of different conventional dendritic cells (cDC) populations in the heart, with focus on the 2 major subsets (CD103+ and CD11b+), which differentially rely on local proliferation and precursor recruitment to maintain tissue residency. Following viral infection of the myocardium, cDCs accumulate in the heart coincident with monocyte infiltration and loss of resident reparative embryonic-derived cardiac macrophages. cDC depletion abrogates antigen-specific CD8+ T cell proliferative expansion, transforming subclinical cardiac injury to overt heart failure. Importantly, these effects are mediated by BATF3-dependent CD103+ cDCs. Collectively, our findings definitively identify resident cardiac cDC subsets, define their origins, and implicate an essential role for CD103+ cDCs in antigen-specific T cell responses during viral myocarditis.
Project description:On March 12, 2020, the World Health Organization (WHO) declared COVID-19 as a global pandemic. COVID-19 is produced by a novel β-coronavirus known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) [1]. Several studies have detected SARS-CoV-2 RNA in urine, feces, and other biofluids from both symptomatic and asymptomatic people with COVID-19 [2], suggesting that SARS-CoV-2 RNA could be detected in human wastewater [3]. Thus, wastewater-based epidemiology (WBE) is now used as an approach to monitor COVID-19 prevalence in many different places around the world [4-10] . Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is the most common SARS-CoV-2 detection method in WBE, but there are other methods for viral biomolecule detection that could work as well. The aim of this study was to evaluate the presence of SARS-CoV-2 proteins in untreated wastewater (WW) influents collected from six wastewater treatment plants (WWTPs), from Durham Region, Ontario, Canada, using a LC-MS/MS-based proteomics approach. We identified many SARS-CoV-2 proteins in these wastewater samples, with peptides from pp1ab being the most consistently detected and with consistent abundance.
Project description:Tumors and chronic infections result in sustained antigen exposure, which promotes impaired functional responsiveness in T cells referred to as exhaustion. Checkpoint immunotherapy can induce the reinvigoration of cellular immunity by activating a recently identified precursor of exhausted T (TPEX) cell population. This activation requires cellular interactions between TPEX cells and professional antigen-presenting cells, likely conventional dendritic cells (cDC). Currently, it is unknown where cDC - TPEX cell interactions take place and which cDC subsets are involved. To address these questions, we first mapped the differentiation trajectory of TPEX cell subsets via transitory cellular states towards terminally exhausted T (TEX) cells, identified transcriptionally distinct subpopulations and defined their localization in the spleen during chronic viral infection. We found that cDC were required for TPEX cell proliferation, differentiation and viral control during PD-L1 treatment. In particular cDC1, a specialized subset of dendritic cells, colocalized with TPEX cells and regulated their maintenance by promoting the functionality of stromal cells that support TPEX cell survival. Additionally, during PD-L1 treatment, the splenic cDC1 network was significantly reorganized at the marginal zone, a site of TPEX cell differentiation. As a consequence, viral control during checkpoint immunotherapy and cellular integrity of the marginal zone depended on the presence of cDC1. Since cDC2 were sufficient to drive initial TPEX cell proliferation and TEX cell generation but not viral control, our data suggest a new concept in which cDC1 decelerate the speed of differentiation of TPEX cells via transitory cellular states and thereby generate a therapeutic window for effective immunotherapy. Together, our findings reveal how the dynamic spatial organization of the DC network supports cellular niches that guide the maintenance and differentiation of TPEX cells and opens new avenues to optimize checkpoint immunotherapy.