Evidence map›Paper›PMID 36821422›Full record

ArticleJournal of Crohn's & colitis2023

TNF ΔARE Pigs: A Translational Crohn's Disease Model.

Thomas Winogrodzki, Amira Metwaly, Alessandro Grodziecki, Wei Liang, Bernhard Klinger, Tatiana Flisikowska, Konrad Fischer, Krzysztof Flisikowski, Katja Steiger, Dirk Haller and 1 more

Abstract read
In one paragraph

Article in Journal of Crohn's & colitis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Frontiers in immunology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Deciphering the Role of theInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Pigs: Large Animal Preclinical Cancer Models.World journal of oncology · 2024
    Review
  12. Review
  13. Article
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

11 authors.

Thomas WinogrodzkiChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0002-2721-3925
Amira MetwalyChair of Nutrition and Immunology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Alessandro GrodzieckiChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Wei LiangChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Bernhard KlingerChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Tatiana FlisikowskaChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Konrad FischerChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Krzysztof FlisikowskiChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0001-5599-8558
Katja SteigerComparative Experimental Pathology, Institute of Pathology, Technical University of Munich, Munich, Germany.
Dirk HallerChair of Nutrition and Immunology, School of Life Sciences, Technical University of Munich, Freising, Germany.
Angelika SchniekeChair of Livestock Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany.

Funding

Deutsche Forschungsgemeinschaft 395357507-SFB 1371
6 · The paper itself

Abstract

BACKGROUND AND

aimsCrohn's disease [CD] is a major subtype of inflammatory bowel diseases [IBD] with increasing incidence and prevalence. Results of studies using available small and large animal models are often poorly translatable to patients, and few CD models show small intestinal pathology. Due to its similarities to humans, the pig has emerged as a highly suitable translational disease model, particularly for testing novel nutritional and technological interventions. Our goal was to develop a physiologically relevant porcine CD model to facilitate translation of findings and interventions towards the clinic.

methodsWe generated pigs bearing a 93-bp deletion of the adenosine-uracil-rich element [ARE] and a constitutive-decay element within the 3' untranslated region of the TNF gene. Comparative analysis of physiological, molecular, histological and microbial characteristics was performed between wild-type, TNFΔARE/+ and TNFΔARE/ΔARE animals. Alterations in the microbiome were compared to the TNFΔARE mouse model and IBD patients.

resultsTNF ΔARE pigs recapitulate major characteristics of human CD, including ulcerative transmural ileocolitis, increased abundance of proinflammatory cytokines, immune cell infiltration and dysbiotic microbial communities. 16S rRNA gene amplicon sequencing revealed enrichment in members belonging to Megasphaera, Campylobacter, Desulfovibrio, Alistipes and Lachnoclostridum in faecal or mucosa-associated bacteria compared to wild-type littermates. Principal components analysis clustering with a subset of TNFΔARE/+ mice and human IBD patients suggests microbial similarity based on disease severity.

conclusionsWe demonstrate that the TNFΔARE pig resembles a CD-like ileocolitis pathophenotype recapitulating human disease. The ability to conduct long-term studies and test novel surgical procedures and dietary interventions in a physiologically relevant model will benefit future translational IBD research studies.

Indexed as

Crohn DiseaseIleitisInflammatory Bowel DiseasesAnimalsHumansMiceRNA, Ribosomal, 16SSwineTumor Necrosis Factor-alphaRNA, Ribosomal, 16STumor Necrosis Factor-alphaCrohn’s diseaseInflammatory bowel disease [IBD]pig/swine model

Identifiers

PMID36821422
PMCPMC10320488

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Registered trials

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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.