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Delacher, M.

Publications and source records attributed to Delacher, M..

7 recordsLinked to original sources

Treg-derived IκBζ promotes their conversion into Th2-like effectors and drives type 2 inflammation via BATF

Regulatory T cells (Treg cells) maintain peripheral immune tolerance but display considerable plasticity in peripheral tissues. The molecular mechanisms governing their function and plasticity, particularly under inflammatory conditions, remain poorly defined. Here, we identify the NF-{kappa}B-associated transcriptional cofactor I{kappa}B{zeta} as a critical regulator of Treg cell plasticity and function. Enforced expression of I{kappa}B{zeta} in Treg cells triggered the excessive expansion of functionally impaired Treg cells, resulting in lymphadenopathy, splenomegaly, and systemic type 2 inflammation, most prominently in the lung. Mechanistically, I{kappa}B{zeta} modified BATF expression and function, thereby driving the cell-intrinsic production of Th2-associated cytokines by Treg cells. Conversely, Treg-specific deletion of I{kappa}B{zeta} constrained IL-33-mediated expansion of tissue Treg cells and surprisingly attenuated type 2 inflammation. Thus, I{kappa}B{zeta} functions as a molecular switch that reprograms regulatory T cells into Th2-like Treg cells, thereby perturbing peripheral immune tolerance. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=117 SRC="FIGDIR/small/707402v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1ef0b17org.highwire.dtl.DTLVardef@c12eaaorg.highwire.dtl.DTLVardef@decc86org.highwire.dtl.DTLVardef@1458767_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Menin-Inhibition Sensitizes Acute Myeloid Leukemia to CLEC12A-Directed CAR Cell Therapy

Menin inhibitors targeting the Menin-KMT2A chromatin complex have emerged as highly selective therapies for KMT2A-rearranged (KMT2A-r) and NPM1-mutated (NPM1mut) acute myeloid leukemia (AML), with recent regulatory approval and increasing interest in combination strategies. In contrast, CAR cell therapies have not yet been successfully established for AML. Here, we show that menin-inhibition primes KMT2A-r and NPM1mut AML for CAR-based targeting by inducing robust and uniform expression of the myeloid antigen CLEC12A (CLL-1). Menin inhibitors did not impair T or NK cell viability, phenotype, or effector function. We engineered second-generation CLEC12A-directed CAR T cells that efficiently eliminated CLEC12A-positive AML. Across in vitro systems and xenograft models, the combination therapy consistently outperformed either monotherapy, resulting in profound disease control and significantly prolonged survival, with evidence of near-complete leukemia eradication in vivo. These findings support epigenetic priming with menin inhibitors to enhance CLEC12A-directed CAR cell-therapy in these AML subtypes. SignificanceMenin inhibitors, now approved for AML treatment, induce the immune target CLEC12A in NPM1mut and KMT2A-r AML subtypes and sensitize AML cells to CLEC12A-directed CAR T cells without compromising immune function. As CLEC12A-CARs are already in clinical testing, this combination is immediately actionable for clinical investigation.

cancer biology↗

KDM6B inhibition modulates monocyte activation and alleviates IMQ-psoriasis skin inflammation

Inflammatory monocytes are increasingly recognized as key amplifiers of psoriasis, yet the epigenetic drivers of their pathogenic signature remain unclear. Here, we demonstrate that the histone demethylase KDM6B is markedly upregulated and catalytically active in classical monocytes during the imiquimod (IMQ)-induced psoriasis model. This is associated with reduced levels of the repressive histone mark H3K27me3, an epigenetic modification linked to chromatin compaction and transcriptional silencing, at the Il1b, Tnf, Pgam1, Pgk1, and Aldoa promoters, together with an enhanced inflammatory and glycolytic gene signature. Pharmacological blockade of KDM6B after disease onset using GSK-J4, a cell-permeable prodrug that is intracellularly converted to the active KDM6B inhibitor GSK-J1, restores H3K27me3 at inflammatory and metabolic loci, suppresses Il1b/Tnf transcription, normalizes bioenergetic profiles, and reduces monocyte and neutrophil recruitment to the inflamed skin. Single-cell transcriptomic profiling further reveals that KDM6B inhibition represses cytokine-mediated signaling, glycolysis, and chemotaxis pathways in monocytes, yet enriches antigen presentation modules, consistent with a shift toward a homeostatic, antigen-presenting surveillance program in myeloid cells and a Treg-supportive milieu. Collectively, our data identify KDM6B as an epigenetic-metabolic switch that sustains monocyte-driven inflammation in the IMQ-induced psoriasis model. Importantly, we provide preclinical evidence that targeting KDM6B can reduce maladaptive inflammatory response even in progressed diseases. These findings propose KDM6B inhibitors as a promising adjunct to current biologics for psoriasis and other myeloid-driven autoinflammatory disorders. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/682023v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@efef15org.highwire.dtl.DTLVardef@395983org.highwire.dtl.DTLVardef@123e832org.highwire.dtl.DTLVardef@615f84_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

GeDi: Simplifying Gene Set Distances for Enhanced Omics Interpretation in R/Bioconductor

BackgroundFunctional enrichment analysis is a standard component in many omics data analysis workflows, supported by a variety of methods and algorithms. However, despite their utility and wide application, these methods often return the results as an extensive and redundant list of gene sets, impeding interpretation and hypothesis generation. Moreover, network based information can provide additional biological context through functional interaction data, yet this is often overlooked by existing tools. ResultsWe developed GeDi, an R/Bioconductor package designed to streamline and standardize the interpretation of functional enrichment results. GeDi aggregates gene sets into biologically meaningful clusters using a suite of gene set distance metrics and clustering algorithms, aimed to reduce redundancy and improve clarity. GeDi also enables the integration of protein-protein interaction (PPI) data, through the implementation of a weighted distance metric, providing a richer biological context by capturing functional connectivity between pathways and their components. The package offers visualizations, aggregation, and automated reporting, and is available as both a stand-alone R-package and an interactive Shiny application. ConclusionGeDi facilitates clearer, faster interpretation of enrichment results by combining clustering and network context. Application to a public RNA-seq dataset revealed coherent biological themes, supporting both experimental and computational research. GeDi is freely available in the Bioconductor project under the MIT license (https://bioconductor.org/packages/GeDi), and a demo instance is accessible on the Shiny server (http://shiny.imbei.uni-mainz.de:3838/GeDi).

bioinformatics↗

Single-cell chromatin landscape and DNA methylation patterns reveal shared molecular programs in human tumor and non-tumor tissue CCR8+ Treg cells

Regulatory T (Treg) cells, a subset of CD4+ T cells, play a crucial role in immunoregulation. Notably, CCR8-expressing Treg cells in tissues also contribute to organ homeostasis and repair. To determine whether these tissue-regenerative programs are active in the tumor microenvironment, we employed single-cell chromatin accessibility and genome-wide DNA methylation analyses to investigate CCR8+ tissue Treg cells isolated from human tumor and adjacent tumor-free tissues. Our findings indicate that CCR8+ tissue Treg cells from tumor and corresponding tumor-free tissues exhibit a high degree of similarity, suggesting that the tumor microenvironment may harbor highly activated tissue Treg cells. This observation was consistent across various tumor types and origins, including primary tumors and metastases. Using quantitative proteomics, we identified several candidate factors associated with the regenerative and suppressive programs of Treg cells, which may serve as potential reservoir of druggable targets for future therapeutic interventions.

immunology↗

Functional Dichotomy of Developmental Foxp3+ Treg Cell Subsets in the Visceral Adipose Tissue of Lean and Obese Mice

Chronic inflammation and loss of Foxp3+ regulatory T (Treg) cells in the visceral adipose tissue (VAT) are hallmarks of the pathogenesis of insulin resistance and obesity. This study explores the roles of VAT Treg cells from thymic (tTreg) and peripheral (pTreg) developmental origin, revealing their opposing roles in metabolic inflammation. Obesity destabilized VAT tTreg cells, causing them to clonally expand into obesogenic Foxp3-IFN-{gamma}+ T effector cells, enhancing pro-inflammatory type 1 responses. Genetic tTreg ablation prevented this shift, promoting anti-inflammatory type 2 response, reduced body weight, and improved insulin resistance. Compared to their tTreg counterpart, pTreg cells were functionally well adapted to maintain VAT homeostasis and protect against obesity. Genetic pTreg ablation promoted spontaneous obesity symptoms even with physiological calorie intake, and worsened VAT inflammation and liver steatosis on a high-calorie diet. These findings highlight tTreg instability as a pathogenic threat and pTreg cells as crucial regulators of metabolic homeostasis. HighlightsO_LIVAT Tregs of lean mice originate from both thymic and peripheral Treg development C_LIO_LIHigh-calorie diet destabilizes tTregs that clonally expand into obesogenic IFN-{gamma}+ Th1 cells C_LIO_LIGenetic tTreg deficiency improves steady-state metabolism and prevents diet-induced obesity C_LIO_LIGenetic pTreg deficiency promotes obesity in both sexes even with normal calorie intake C_LIO_LIVAT pTregs are particularly adapted to regulate VAT homeostasis, including adipogenesis C_LI In BriefObesity and type 2 diabetes are characterized by insulin resistance, regulatory T (Treg) cell loss, and chronic inflammation in visceral adipose tissue (VAT). In this context, Yilmazer et al. dissect the functional roles of tTreg and pTreg cells. They show that VAT pTreg cells are particularly adapted to exert non-redundant homeostatic functions, and that pTreg deficiency predisposes to obesity even with normal calorie intake. In contrast, VAT tTreg cells can contribute to local inflammation by dedifferentiating into Foxp3- Th1-polarized effector cells. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/642664v1_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@19c740corg.highwire.dtl.DTLVardef@86d52borg.highwire.dtl.DTLVardef@152a88org.highwire.dtl.DTLVardef@19b7b13_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Unveiling IRF4-steered regulation of context-dependent effector programs in Th17 and Treg cells

The transcription factor interferon regulatory factor 4 (IRF4) is crucial for the differentiation and fate determination of pro-inflammatory T helper (Th)17 and the functionally opposing group of immunomodulatory regulatory T (Treg) cells. However, molecular mechanisms of how IRF4 steers diverse transcriptional programs in Th17 and Treg cells are far from being definitive. To unveil IRF4-driven lineage determination in Th17 and Treg cells, we integrated data derived from affinity-purification and full mass spectrometry-based proteome analysis with chromatin immune precipitation sequencing (ChIP-Seq). This allowed the characterization of subtype-specific molecular programs and the identification of novel, previously unknown IRF4 interactors in the Th17/Treg context, such as ROR{gamma}t, AHR, IRF8, BACH2, SATB1, and FLI1. Moreover, our data reveal that most of these transcription factors are recruited to IRF composite elements for the regulation of cell type-specific transcriptional programs providing a valuable resource for studying IRF4-mediated gene regulatory programs in pro- and anti-inflammatory immune responses.

immunology↗