Evidence map›Paper›PMID 41592046›Full record

ArticlePloS one2026

Identifying biomarkers for diagnosis and disease activity monitoring in PSC-IBD and UC through proteomic profiling: A prospective, biomarker discovery single-center study protocol.

Ondrej Fabian, Lukas Bajer, Peter Macinga, Jan Brezina, Mojmir Hlavaty, Pavel Drastich, Pavel Wohl, Karel Harant, Pavel Talacko, Eva Sticova and 4 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

14 authors.

Ondrej FabianClinical and Transplant Pathology Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.ORCID https://orcid.org/0000-0002-0393-2415
Lukas BajerDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Peter MacingaDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Jan BrezinaDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Mojmir HlavatyDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Pavel DrastichDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Pavel WohlDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Karel HarantProteomics Core Facility, Faculty of Science, Charles University, Vestec, Czech Republic.
Pavel TalackoProteomics Core Facility, Faculty of Science, Charles University, Vestec, Czech Republic.
Eva SticovaClinical and Transplant Pathology Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Andrea VajsovaClinical and Transplant Pathology Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.ORCID https://orcid.org/0000-0002-8473-8664
Alena BohdaneckaExperimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.ORCID https://orcid.org/0009-0006-0573-6684
Filip TichanekDepartment of Informatics, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Monika CahovaExperimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel diseases (IBD) and primary sclerosing cholangitis (PSC) are chronic inflammatory conditions with limited biomarker-driven diagnostic tools. Proteomic profiling offers a promising approach to uncover specific biomarkers that could refine diagnostic accuracy, monitor disease activity, and guide therapeutic strategies. Our primary aim is to identify novel biomarkers for PSC-IBD and conventional ulcerative colitis (UC) via proteomic approach. The secondary aim is to advance the etiopathogenic understanding of the diseases by linking specific proteomic profiles with disease phenotypes. This single-center, prospective, biomarker-discovery study will involve 50 participants with PSC-IBD, 50 with UC, and 50 healthy controls. Biopsy samples from five bowel segments will be analyzed for proteomic signatures by an untargeted approach. The findings will subsequently undergo multi-step external validation in separate cohorts of 30 patients with PSC-IBD and 30 with UC, utilizing targeted proteomics, immunohistochemistry, and ELISA in bowel mucosa and peripheral blood, respectively. This proposed study aims to identify novel biomarkers to improve the diagnostic accuracy of PSC-IBD and UC and refine the disease activity assessment. Its robust design and large sample size provide a strong foundation for successful biomarker identification, with the potential to enhance clinical management of patients.

Indexed as

BiomarkersCholangitis, SclerosingColitis, UlcerativeInflammatory Bowel DiseasesProteomicsAdultCase-Control StudiesFemaleHumansIntestinal MucosaMaleProspective StudiesBiomarkers

Identifiers

PMID41592046
PMCPMC12843537

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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.