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Hegazy, A.

Publications and source records attributed to Hegazy, A..

3 recordsLinked to original sources

Stable characteristics of intrapopulation heterogeneity in virus-specific Th1 cells during chronic viral challenge infection

Virus-specific CD4+ T cells typically undergo T helper (Th) 1 differentiation and contribute to a type 1 immune response in infection with lymphocytic choriomeningitis virus (LCMV). Using this model pathogen, we performed an in-depth analysis of the quantitative expression stability of the Th1 key transcription factor T-bet. Previously, it was shown that virus-specific Th1 cells arising in acute infections expressed T-bet at distinct intensities and maintained their T-bet expression differences after viral clearance as memory cells for weeks in the steady state. However, it was unclear whether differential T-bet expression was associated with heterogeneity inside the Th1 population and if the quantitative T-bet memory, particularly of those cells expressing T-bet at low levels, could withhold the strong and continuous stimulation present during chronic infection. Using T-bet-ZsGreen reporter mice, virus-specific Th1 cells were characterized phenotypically at protein, RNA, and DNA/chromatin accessibility levels. The Th1 cells arising during acute LCMV Armstrong infection showed a continuous spectrum of T-bet expression, ranging from cells with very high T-bet to cells with low T-bet. Even though the cells with low T-bet expression clearly possessed Th1 characteristics, they additionally showed certain Tfh-like features at protein and RNA level. When virus-specific Th1 cells were sorted according to T-bet-ZsGreen reporter expression intensity, adoptively transferred, and rechallenged by infecting the host animals with the chronic Clone 13 strain of LCMV, they maintained quantitative differences in T-bet reporter and IFN-{gamma} expression levels. A subpopulation of the progeny of the former T-betlow cells still showed a mild Tfh-associated phenotype. Independent of their past and present T-bet expression level, all virus-reactive CD4+ T cells acquired phenotypic signs of exhaustion as characterized by upregulation of PD-1, LAG3, and TOX and vast absence of effector cytokine co-expression in the chronic infection environment. Collectively, our findings highlight the heterogeneity of T-bet+ antiviral CD4+ T cells and the stability of quantitative differences in individual virus-specific CD4+ T cells during chronic viral challenge infection.

immunology↗

Coordinated IFN-γ/TNF Axis Drives Selective Loss of Activated Enteric Glia in Inflammatory Bowel Diseases

BackgroundEnteric glial cells (EGC) play a crucial role in maintaining gut homeostasis, but their dysregulation in inflammatory bowel diseases (IBD) remains poorly understood. Emerging preclinical data suggests activated EGC have beneficial roles in controlling gut pathophysiology. ObjectiveUnderstanding EGC activation and adaptation during experimental and clinical IBD. DesignWe provide the first highly integrated approach to identify EGC activation signature in IBD. Profiling 390 samples from IBD patients via bulk and single-nucleus (sn) transcriptomics and replicate the findings on publicly available bulk and single-cell (sc) datasets from 1160 patients and 19,000 single EGC. Preclinical modelling of Th1/Th17 inflammation, reporter-assisted EGC sorting, analysis of regulated cell death, and Casp8 ablation in EGC was performed ResultsWe identified novel IBD type and sampling associated EGC activation signature. Specific EGC activation markers were shared in biopsies and resection specimens, and were divergent between Crohns disease and Ulcerative colitis. Preclinical modelling of intestinal inflammation identified combinatorial TNF and IFN-{gamma}-driven activation of EGC, associated with elevated necroptosis, and negatively impacting gut motility. Genetic-reporter-enabled sorting and downstream analyses confirmed TNF and IFN-{gamma}-driven EGC necroptosis, potentiated by Casp8 deficiency. Furthermore, snRNA-Seq from IBD patient samples confirmed elevated cell death signature in activated but not in rare neuroglia progenitor-like cluster. ConclusionOur findings identify IBD type-associated activated EGC markers involved in immune and epithelial homeoastasis. We uncover necroptosis of activated EGCs as a constituent of intestinal inflammation. Advancing our understanding of activated EGC survival is pivotal in elucidating their complex roles in maintaining gut immune-epithelial homeostasis. What is already known on this topicActivated EGC have emerged as important contributors in maintaining epithelial, immune and neuronal homeostasis. Increasing evidence from mouse studies points to the role of activated EGC in epithelial regeneration, tolerogenic T-cell activation, relaying psychological stress to the enteric nervous system, post-injury neurogenesis, and helminth clearance. Nevertheless, no consensus has emerged on what might define activated EGC in the context of IBD and how EGC turnover is affected in gut inflammation, limiting translation of their disease associated roles. What this study addsBy combining bulk with single cell and single nucleus transcriptomes from IBD patients we identified new IBD type- and location-associated EGC activation signatures. Some of these are conserved with mouse EGC in gut inflammation models. We identified osteopontin an immunomodulator and Wnt6 an epithelial morphogen elevated in IBD EGC. We also identified IBD-associated EGC cell clusters, which display higher expression of cell death pathway transcripts. To investigate EGC turnover, we utilized preclinical models and found rapid EGC activation upon Th1/Th17 inflammation. This was associated with elevated EGC activation and caspase-independent necroptotic cell death. Ex vivo experiments showed a combinatorial requirement of IFN-{gamma} and TNF in mediating EGC necroptosis. Our findings were replicated on multiple publicly available sc-RNA sequencing datasets from IBD patients. How this study might affect research, practice or policyExpanding on the available repertoire of EGC activation markers in IBD, both shared and unique to sampling procedure, disease type, and location will provide researchers with tools to identify EGC homeostasis during IBD. Moreover, the nature of the identified markers will stimulate research into specific EGC pathways triggered in inflammation. Adding to this, the rapid induction in pathological death of activated but not naive EGC upon IFN-{gamma} and TNF stimulation will shed light on EGC adaptation and turnover. Our identification of markers of activated EGC with immuno-modulatory and epithelial-regenerative properties, including osteopontin and wingless family of morphogenes will stimulate further research in EGC-immune and EGC-epithelial communication in the context of IBD.

neuroscience↗

IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases

Multi-omic and multimodal datasets with detailed clinical annotations offer significant potential to advance our understanding of inflammatory bowel diseases (IBD), refine diagnostics, and enable personalized therapeutic strategies. In this multi-cohort study, we performed an extensive multi-omic and multimodal analysis of 1,002 clinically annotated patients with IBD and non-IBD controls, incorporating whole-exome and RNA sequencing of normal and inflamed gut tissues, serum proteomics, and histopathological assessments from images of H&E-stained tissue sections. Transcriptomic profiles of normal and inflamed tissues revealed distinct site-specific inflammatory signatures in Crohns disease (CD) and ulcerative colitis (UC). Leveraging serum proteomics, we developed an inflammatory protein severity signature that reflects underlying intestinal molecular inflammation. Furthermore, foundation model-based deep learning accurately predicted histologic disease activity scores from images of H&E-stained intestinal tissue sections, offering a robust tool for clinical evaluation. Our integrative analysis highlights the potential of combining multi-omics and advanced computational approaches to improve our understanding and management of IBD.

molecular biology↗