bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.01.15.699625

A human immune system mouse model for preclinical evaluation of therapies in pemphigoid disease

Abstract

Pemphigoid diseases (PD) including Epidermolysis bullosa acquisita (EBA) are rare immunoglobulin G (IgG)-driven autoimmune skin blistering diseases with limited therapeutic options. Mechanistically, chronic inflammation in the skin leads to disruption of the dermal-epidermal junction (DEJ) with a crucial contribution of Fc{gamma}R-mediated activation of myeloid immune cells such as neutrophils. Thus, targeting of kinases involved in Fc{gamma}R-dependent activation of myeloid immune cells holds great promise as a therapeutic strategy. In this study, we employ human immune system (HIS) mice featuring all major human leukocytes which allows to investigate the impact of therapeutics on human immune cells in vivo. In a passive transfer approach, repetitive application of collagen VII (COL7c) specific IgG was associated with skin inflammation including infiltration of activated human immune cells and thickening of the epidermis. While application of recombinant human G-CSF boosted myeloid cell maturation and thus disease severity, treatment with Fc{gamma}R-blocking antibodies impaired disease development confirming the crucial role of human cells. Finally, small molecule PDK1 inhibitor BX-795 abrogated development of skin inflammation associated with reduced leukocyte infiltration and activation supporting the role of PDK1 in Fc{gamma}R-driven immune cell activation. This study establishes the first in vivo model of EBA in HIS mice and reveals its suitability for pre-clinical screening and evaluation of therapeutic agents. Importantly, it highlights the potential of kinase inhibition for treatment of EBA.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Voss, L., Maier, K., Wagner, S., Schneider, A.-K., Schlotfeldt, M., Altmann, L., Ucgan, E., Honninger, L., Peipp, M., Nimmerjahn, F., Bieber, K., Lux, A.. 2026-01-15. A human immune system mouse model for preclinical evaluation of therapies in pemphigoid disease. https://doi.org/10.64898/2026.01.15.699625

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Common viral infections seed regionally distinct resident memory T cells in the human CNS

T cells persist in the central nervous system (CNS) and can drive both protection and neurological disease. How these cells are organized in humans and what they recognize is largely unknown. Here, we profiled CD8 T cells across anatomically distinct CNS regions, obtained through on-site autopsies and temporal lobe resection surgeries, using single-cell RNA sequencing, paired T cell receptor sequencing, and DNA-barcoded tetramers. Resident memory T cells (TRM) specific for Epstein-Barr virus, cytomegalovirus, influenza A, and SARS-CoV-2 were identified across CNS compartments. Anatomical location was the strongest correlate of TRM cell state, with leptomeningeal cells adopting a cytokine-poised TRM program, whereas brain TRM cells were transcriptionally restrained. Cells of the same clonotype spanned tissues yet adopted local transcriptional states. Viral specificity added another layer of TRM heterogeneity with GZMK/GZMA-expressing EBV-specific populations and interferon-stimulated gene signatures in SARS-CoV-2 and Influenza A-specific cells. The human CNS thus harbors regionally distinct CD8+ TRM shaped by common viral exposures.

immunology↗

A regulatory T cell signature provides a shared molecular basis for the therapeutic window of opportunity in rheumatic disease

Rheumatic diseases, including rheumatoid arthritis (RA), spondyloarthritis (SpA) and osteoarthritis (OA), show distinct phenotypes yet respond to overlapping therapies, implicating shared immune mechanisms. In the Transimmunom cohort, we profiled peripheral blood from 240 individuals (47 healthy, 44 OA, 91 RA, 58 SpA) across deep immunophenotyping, immunoproteomics and Treg-Teff transcriptomics. Single-layer analyses revealed broader Treg than Teff remodeling, along with a shared pattern of reduced activated Tregs and expanded Helios+ Tregs across all diseases, alongside a decrease in functional Treg subpopulations, including CTLA4+ and CD45RA- Tregs. In RA specifically, LAG3+ Tregs were also expanded. Combining omics layers outperformed single-layer approaches for disease classification. Among individual layers, Treg transcriptomes were most discriminative, and integration uncovered disease-specific programs. Unsupervised clustering identified a cross-disease cluster independent of activity, treatment and age, mapping to early disease (<= years) and dominated by a Treg dysfunction-associated program. These results provide a biological rationale for the therapeutic "window of opportunity" concept and duration-stratified Treg-directed trials.

immunology↗

Inhibitory Fc Receptor sets a time limit on macrophage response to IgG

Antibodies engage both activating Fc Receptors and the inhibitory receptor Fc{gamma}RIIB. Why macrophages need a dedicated inhibitory receptor rather than simply tuning activating receptor signaling is unclear. Using DNA-based chimeric receptors and in silico modeling, we independently controlled activating and inhibitory Fc Receptors. We found that Fc{gamma}RIIB imposed a time limit on macrophage phagocytosis and ERK signaling. The time limit is due to activating Fc Receptors converting PI(4,5)P2 to PI(3,4,5)P3, which is subsequently converted to PI(3,4)P2 by Fc{gamma}RIIB. This leads to a pulse of active signaling, which is sufficient for phagocytosis of small bacteria-sized targets but not phagocytosis of large targets and TNF secretion. Unlike engaging Fc{gamma}RIIB, reducing activating Fc Receptor signaling decreased initiation of phagocytosis, the speed of PI(3,4,5)P3 generation, and the amplitude of ERK signaling. Our results demonstrate that Fc{gamma}RIIB controls the duration of IgG signaling, while the activating Fc Receptors control sensitivity.

immunology↗