Evidence map›Paper›PMID 41521559›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2026

Engineered CD40-biosensor-expressing Treg cells as a cell therapy approach for inflammatory diseases.

Sebastian Bittner, Lisa Schmidleithner, Brigitte Ruhland, Veronika Hofmann, Philipp Stüve, Frauke Hoffmann, Bernd Echtenacher, Petra Hoffmann, Matthias Edinger, Andreas Beilhack and 5 more

Abstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sebastian BittnerLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Lisa SchmidleithnerLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Brigitte RuhlandLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Veronika HofmannLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Philipp StüveLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Frauke HoffmannLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Bernd EchtenacherLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Petra HoffmannLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany; Department of Internal Medicine III, University Hospital Regensburg, 93053 Regensburg, Germany.
Matthias EdingerLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany; Department of Internal Medicine III, University Hospital Regensburg, 93053 Regensburg, Germany.
Andreas BeilhackDepartment of Internal Medicine II, Interdisciplinary Center for Clinical Research (IZKF) Laboratory Würzburg, Center for Experimental Molecular Medicine, University Hospital Würzburg, 97078 Würzburg, Germany.
Nicholas StriederLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Inmaculada Hernandez-LopezLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany.
Michael RehliLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany; Department of Internal Medicine III, University Hospital Regensburg, 93053 Regensburg, Germany.
Thomas HehlgansLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany; Chair for Immunology, University Regensburg, 93053 Regensburg, Germany.
Markus FeuererLeibniz Institute for Immunotherapy (LIT), University Regensburg, 93053 Regensburg, Germany; Chair for Immunology, University Regensburg, 93053 Regensburg, Germany. Electronic address: markus.feuerer@ukr.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restoring immune tolerance by engineered regulatory T cell (Treg) therapy is a promising strategy to treat patients suffering from autoimmune and inflammatory diseases. However, in many of these conditions, relevant disease-driving antigens are unknown. Therefore, suitable target (auto-)antigens for antigen-specific Treg cell therapy are rarely available. We present a novel artificial immune biosensor for Treg cells that circumvents this limitation by targeting the immune costimulatory protein CD40-ligand (CD40L), transiently expressed by activated T cells. The artificial immune receptor (AIR) comprises a CD40-derived extracellular binding domain, an intracellular costimulatory signaling domain, and a T cell receptor signaling domain of the CD3-ζ-chain. After interaction with its membrane-bound ligand, this synthetic receptor triggers a TCR-like activation program in Treg cells including induction of Treg effector molecules and cell proliferation. In a mouse model of graft-versus-host disease, transfer of CD40-AIR Treg cells significantly improved survival and demonstrated immune control of the alloantigen-reactive T cell compartment. Expression and signaling of the corresponding human CD40-AIR illustrate the potential for translating this concept. Engineering Treg cells with a CD40L-targeting sensor that detects activated T cells presents a promising therapeutic approach for a broad range of T cell-mediated inflammatory diseases.

Indexed as

CD40 AntigensCell- and Tissue-Based TherapyInflammationT-Lymphocytes, RegulatoryAnimalsCD40 LigandDisease Models, AnimalGraft vs Host DiseaseHumansLymphocyte ActivationMiceSignal TransductionCD40 AntigensCD40 LigandAIR TregautoimmunityCD40Lcell therapyGvHDregulatory T cell

Identifiers

PMID41521559
PMCPMC13069339

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.