Evidence map›Paper›PMID 41974192›Full record

ArticleJournal of Crohn's & colitis2026

Mapping adaptive immune responses toward fungal antigens in inflammatory bowel disease using T cell repertoire sequencing and phage-immunoprecipitation sequencing.

Aya K H Mahdy, Hesham ElAbd, Melanie Prinzensteiner, Hannah Jebens, Kostas Sivickis, Petra Bacher, Thomas Vogl, Mathilde Poyet, Andre Franke

Abstract read
In one paragraph

Article in Journal of Crohn's & colitis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Aya K H MahdyInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein (UKSH), Kiel, 24105, Germany.ORCID 0009-0009-6115-4429
Hesham ElAbdInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein (UKSH), Kiel, 24105, Germany.ORCID 0000-0003-1844-8279
Melanie PrinzensteinerCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.
Hannah JebensInstitute of Experimental Medicine, Kiel University, Kiel, Germany.
Kostas SivickisInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein (UKSH), Kiel, 24105, Germany.
Petra BacherInstitute of Immunology, Kiel University, Kiel, Germany.
Thomas VoglCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.
Mathilde PoyetInstitute of Experimental Medicine, Kiel University, Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein (UKSH), Kiel, 24105, Germany.ORCID 0000-0003-1530-5811

Funding

DFG Cluster of Excellence 2167/2DFG collaborative research center CRC 1526EU Horizon Europe Program grant miGut-Health: personalized blueprint of intestinal health 101095470EU program for Research and Innovation "Horizon Health" HORIZON-HLTH-2023-DISEASE-03German Research Foundation (DFG) Research Unit 5042ID-DarkMatter-NCD 897856542Pathomechanisms of Antibody-mediated Autoimmunity (PANTAU) - Insights from Pemphigoid DiseasesPrecision Medicine in Chronic InflammationPrecision Medicine in Chronic Inflammation (PMI)The Microbiome as a Therapeutic Target in Inflammatory Bowel Diseases along with funding from the DFG Cluster of Excellence 2167
6 · The paper itself

Abstract

BACKGROUND AND

aimsImmune reactivity to the gut mycobiome has been implicated in inflammatory bowel disease (IBD), particularly Crohn's disease (CD), but the systemic adaptive immune repertoire targeting the gut mycobiome remains incompletely defined. We aimed to map systemic T cell and antibody responses to fungal antigens in IBD.

methodsWe quantified expansion of fungal-specific T cell receptor β (TRB) clonotypes in the SPARC IBD cohort (CD, n = 1890; ulcerative colitis [UC], n = 914). In participants with paired data (n = 637), we analyzed the gut mycobiome by ITS2 sequencing and linked prevalent amplicon sequence variants (ASVs) to TRB clonotypes using a co-occurrence framework. For humoral immune profiling, we built a Saccharomyces cerevisiae-focused PhIP-Seq library and screened sera from CD (n = 100) and healthy controls (n = 60), including anti-S. cerevisiae antibody+ (ASCA+) and ASCA- individuals.

resultsFungal-specific TRB clonotypes showed greater expansion in CD than UC, including increased responses toward S. cerevisiae and enrichment in more aggressive CD phenotypes. Co-occurrence analysis identified a limited number of TRB-mycobiota associations, consistent with the largely private nature of the gut mycobiome at the ASV level. Antibody reactivity to S. cerevisiae peptides was low relative to common viral and bacterial antigen classes, and no single S. cerevisiae peptide was associated with anti-S. cerevisiae antibody serostatus.

conclusionsCD is associated with expansion of fungal-specific T cell clonotypes, but S. cerevisiae peptide-based PhIP-Seq reveals limited shared IgG reactivity. Broader antigen libraries and complementary assays capturing glycosylated and virulence-associated fungal epitopes will be needed to comprehensively define antifungal humoral immunity in IBD.

Indexed as

Adaptive ImmunityAntigens, FungalColitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesT-LymphocytesAdultAntibodies, FungalCase-Control StudiesFemaleHumansMaleMiddle AgedMycobiomeReceptors, Antigen, T-Cell, alpha-betaSaccharomyces cerevisiaeAntibodies, FungalAntigens, FungalReceptors, Antigen, T-Cell, alpha-betaantibody response against yeastB cell responses against yeasthost–mycobiome interactionITS-2PhIP-SeqS. cerevisiaeT cell responses against teastTCR-Seq

Identifiers

PMID41974192
PMCPMC13075953

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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.