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Brusko, M.

Publications and source records attributed to Brusko, M..

7 recordsLinked to original sources

Spatial transcriptomics from pancreas and local draining lymph node tissue reveals a lymphotoxin-β signature in human type 1 diabetes

This study explores the inflammatory response observed in pancreata and pancreatic lymph node (pLN) samples obtained throughout the natural history of type 1 diabetes (T1D) including non-diabetic individuals and non-diabetic autoantibody positive individuals with high susceptibility using spatial transcriptomics (ST). Integration of ST with public single-cell RNA sequencing data enabled interrogation of transcriptional alterations in T1D pathogenesis across both tissues and cellular scales. In the T1D pancreas, we observed global upregulation of multiple inflammation-associated transcripts, including regenerating islet-derived (REG) family genes, complement factor 3 (C3), SOD2, and OLFM4, and highlighted cellular candidates potentially contributing to these signatures. Within the T1D pLN, we observed spatially restricted upregulation of lymphotoxin-{beta} (LTB) alongside follicular dendritic cell (FDC)-associated transcripts including FDCSP, CLU, and FCER2. Collectively, these findings highlight distinct inflammation signatures in the pancreas and regional pLN which can help inform the development of future therapeutic interventions.

immunology↗

3D imaging of human pancreas suggests islet size and endocrine composition influence their loss in type 1 diabetes

A high-definition description of pancreatic islets would prove beneficial for understanding the pathophysiology of type 1 diabetes (T1D), yet significant knowledge voids exist in terms of their size, endocrine cell composition, and number in both health and disease. Here, 3-dimensional (3D) analyses of pancreata from control persons without diabetes (ND) revealed heretofore underappreciated frequencies (approximately 50%) of insulin-positive (INS+) glucagon-negative (GCG-) islets. Non-diabetic individuals positive for a single Glutamic acid decarboxylase autoantibody (GADA+) yet at increased risk for disease consistently demonstrated endocrine features, including islet volume and cell composition, closely resembling the age-matched ND controls. In contrast, pancreata from individuals with short-duration T1D demonstrated significantly reduced islet density and a dramatic loss of INS+GCG- islets with preservation of large INS+GCG+ islets. The size and cellular composition of pancreatic islets may, therefore, represent influential factors that impact {beta}-cell loss during T1D disease progression. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=127 SRC="FIGDIR/small/654045v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1d2fdeaorg.highwire.dtl.DTLVardef@11c43edorg.highwire.dtl.DTLVardef@af8a82org.highwire.dtl.DTLVardef@ae8c58_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LI3D imaging of non-diabetic (ND) pancreas suggests up to 50% of INS+ islets lack GCG C_LIO_LIINS+GCG- islets are typically small-sized in ND and preferentially lost in T1D C_LIO_LIIn T1D pancreas, INS+ beta cells are preserved in large INS+GCG+ islets C_LIO_LIIslets from GADA+ individuals appear similar to ND for size and {beta}-to- cell ratios C_LI

pathology↗

Transcriptional control of T cell tissue adaptation and effector function in infants and adults

The first years of life are essential for the development of memory T cells, which rapidly populate the bodys diverse tissue sites during infancy. However, the degree to which tissue memory T cell responses in early life reflect those during adulthood is unclear. Here, we use single cell RNA-sequencing of resting and ex vivo activated T cells from lymphoid and mucosal tissues of infant (aged 2-9 months) and adult (aged 40-65 years) human organ donors to dissect the transcriptional programming of memory T cells over age. Infant memory T cells demonstrate a unique stem-like transcriptional profile and tissue adaptation program, yet exhibit reduced activation capacity and effector function relative to adults. Using CRISPR-Cas9 knockdown, we define Helios (IKZF2) as a critical transcriptional regulator of the infant-specific tissue adaptation program and restricted effector state. Our findings reveal key transcriptional mechanisms that control tissue T cell fate and function in early life.

immunology↗

Inhibition of CD226 Co-Stimulation Suppresses Diabetes Development in the NOD Mouse by Augmenting Tregs and Diminishing Effector T Cell Function

Aims/hypothesisImmunotherapeutics targeting T cells are crucial for inhibiting autoimmune disease progression proximal to disease onset in type 1 diabetes. A growing number of T cell-directed therapeutics have demonstrated partial therapeutic efficacy, with anti-CD3 (-CD3) representing the only regulatory agency-approved drug capable of slowing disease progression through a mechanism involving the induction of partial T cell exhaustion. There is an outstanding need to augment the durability and effectiveness of T cell targeting by directly restraining proinflammatory T helper type 1 (Th1) and type 1 cytotoxic CD8+ T cell (Tc1) subsets, while simultaneously augmenting regulatory T cell (Treg) activity. Here, we present a novel strategy for reducing diabetes incidence in the NOD mouse model using a blocking monoclonal antibody targeting the type 1 diabetes-risk associated T cell co-stimulatory receptor, CD226. MethodsFemale NOD mice were treated with anti-CD226 between 7-8 weeks of age and then monitored for diabetes incidence and therapeutic mechanism of action. ResultsCompared to isotype-treated controls, anti-CD226 treated NOD mice showed reduced insulitis severity at 12 weeks and decreased disease incidence at 30 weeks. Flow cytometric analysis performed five weeks post-treatment demonstrated reduced proliferation of CD4+ and CD8+ effector memory T cells in spleens of anti-CD226 treated mice. Phenotyping of pancreatic Tregs revealed increased CD25 expression and STAT5 phosphorylation following anti-CD226, with splenic Tregs displaying augmented suppression of CD4+ T cell responders in vitro. Anti-CD226 treated mice exhibited reduced frequencies of islet-specific glucose-6-phosphatase catalytic subunit related protein (IGRP)-reactive CD8+ T cells in the pancreas, using both ex vivo tetramer staining and single-cell T cell receptor sequencing (scTCR-seq) approaches. 51Cr-release assays demonstrated reduced cell-mediated lysis of beta-cells by anti-CD226-treated autoreactive cytotoxic T lymphocytes. Conclusions/interpretationCD226 blockade reduces T cell cytotoxicity and improves Treg function, representing a targeted and rational approach for restoring immune regulation in type 1 diabetes. Research in ContextO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LIThe co-stimulatory receptor CD226 is upregulated upon activation and is highly expressed on NK cell subsets, myeloid cells, and effector T cells. C_LIO_LIA single nucleotide polymorphism in CD226 (rs763361; C>T) results in a Gly307Ser missense mutation linked to genetic susceptibility for type 1 diabetes. C_LIO_LIGlobal knockout of Cd226 and conditional Cd226 knockout in FoxP3+ Tregs reduced insulitis severity and diabetes incidence in NOD mice, indicating a crucial role for CD226 in disease pathogenesis. C_LI What is the key question?O_LICan CD226 blockade reduce T cell cytotoxicity and improve Treg function to diminish diabetes incidence in NOD mice? C_LI What are the new findings?O_LIAnti-CD226 treatment reduced insulitis, decreased disease incidence, and inhibited splenic CD4+ and CD8+ effector memory T cell proliferation. C_LIO_LIPancreatic Tregs from anti-CD226 treated mice exhibited increased CD25 expression; splenic Tregs displayed augmented STAT5 phosphorylation and suppressive capacity in vitro. C_LIO_LIAnti-CD226 treatment reduced IGRP-specific pancreatic CD8+ T cell frequencies, and reduced autoreactive CD8+ T cell-mediated lysis of beta-cells in vitro. C_LI How might this impact on clinical practice in the foreseeable future?O_LICD226 blockade could reduce autoreactive T cell cytotoxicity, enhance Treg function, and slow disease progression in high-risk or recent-onset type 1 diabetes cases. C_LI

immunology↗

3D-mapping of human lymph node and spleen reveals integrated neuronal, vascular, and ductal cell networks

The spleen and lymph node represent important hubs for both innate and adaptive immunity1,2. Herein, we map immune, endothelial, and neuronal cell networks within these tissues from "normal"/non-diseased organ donors, collected through the NIH Human BioMolecular Atlas Program (HuBMAP)3, using highly multiplexed CODEX (CO-Detection by indEXing) imaging and 3D light sheet microscopy of cleared tissues. Building on prior reports4-6, we observed the lymph node subcapsular sinus expressing podoplanin, smooth muscle actin, and LYVE1. In the spleen, LYVE1 was expressed by littoral cells lining venous sinusoids, whereas podoplanin was restricted to arteries and trabeculae. 3D visualization of perivascular innervation revealed a subset of axonal processes expressing choline acetyl transferase in both tissues, in contrast with prior literature on human spleen7. We further report our novel observations regarding the distinct localization of GAP43 and {beta}3-tubulin within the vascular anatomy of both lymph node and spleen, with Coronin-1A+ cells forming a dense cluster around {beta}3-tubulin positive GAP43 low/negative segments of large vessels in spleen. These data provide an unprecedented 2D and 3D visualization of cellular networks within secondary lymphoid tissues, laying the groundwork for future disease-specific and system-wide studies of neural regulation of immunity in human lymphatics.

immunology↗

geneBasis: an iterative approach for unsupervised selection of targeted gene panels from scRNA-seq.

The problem of selecting targeted gene panels that capture maximum variability encoded in scRNA-sequencing data has become of great practical importance. scRNA-seq datasets are increasingly being used to identify gene panels that can be probed using alternative molecular technologies, such as spatial transcriptomics. In this context, the number of genes that can be probed is an important limiting factor, so choosing the best subset of genes is vital. Existing methods for this task are limited by either a reliance on pre-existing cell type labels or by difficulties in identifying markers of rare cell types. We resolve this by introducing an iterative approach, geneBasis, for selecting an optimal gene panel, where each newly added gene captures the maximum distance between the true manifold and the manifold constructed using the currently selected gene panel. We demonstrate, using a variety of metrics and diverse datasets, that our approach outperforms existing strategies, and can not only resolve cell types but also more subtle cell state differences. Our approach is available as an open source, easy-to-use, documented R package (https://github.com/MarioniLab/geneBasisR).

bioinformatics↗

Anatomical Structures, Cell Types, and Biomarkers Tables Plus 3D Reference Organs in Support of a Human Reference Atlas

1.This paper reviews efforts across 16 international consortia to construct human anatomical structures, cell types, and biomarkers (ASCT+B) tables and three-dimensional reference organs in support of a Human Reference Atlas. We detail the ontological descriptions and spatial three-dimensional anatomical representations together with user interfaces that support the registration and exploration of human tissue data. Four use cases are presented to demonstrate the utility of ASCT+B tables for advancing biomedical research and improving health.

cell biology↗