Evidence map›Paper›PMID 41002400›Full record

ReviewCells2025

Predictive Role of MicroRNAs in the Diagnosis and Management of Patients with Crohn's Disease: A Clinician's View.

Christian Prinz, Leonard Fehring

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Christian PrinzFaculty of Health, School of Medicine, Witten/Herdecke University, 58455 Witten, Germany.
Leonard FehringFaculty of Health, School of Medicine, Witten/Herdecke University, 58455 Witten, Germany.ORCID 0000-0002-3322-3724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crohn's disease (CD), also known as terminal ileitis, has been the focus of gastroenterological diagnostics and therapy for decades. Although significant therapeutic progress has been made in recent years, largely due to an improved understanding of the pathophysiology and evolving treatment strategies for Crohn's disease, many new antibody-based therapies demonstrate clinical response rates of only 30-50%. Predictive biomarkers for differential therapeutic responses may therefore be critical for personalized treatment selection, but such markers have not yet been clinically validated for the majority of patients treated with prednisone or monoclonal antibodies targeting integrin pathways, TNF-α, or IL-23. In this review, the diagnostic potential of microRNA (miRNA) dysregulation in patients with Crohn's disease is explored, emphasizing the potential utility of specific miRNA expression profiles in guiding targeted therapy. Notably, reduced expression of miR-29 is associated with planned treatment using ustekinumab (an IL-23 signaling inhibitor), elevated miR-23a levels in inflamed tissue may inform the use of TNF-α inhibitors, increased miR-155 expression is relevant for patients considered for JAK inhibitor therapy, and altered levels of miR-126 and miR-486 may support the selection of vedolizumab. Assessment of these dysregulated miRNAs-such as through comparative profiling in inflamed versus non-inflamed tissue from the same patients-could serve as a predictive biomarker panel to optimize individualized immunosuppressive treatment strategies in Crohn's disease. We also examine the role of microRNAs in regulating TRP channels and their involvement in the mechanisms of action of selected complementary medicines.

Indexed as

Crohn DiseaseMicroRNAsBiomarkersHumansBiomarkersMicroRNAsCrohn’s diseaseinflammationmicroRNAustekinumab

Identifiers

PMID41002400
PMCPMC12468317

What Socratic holds

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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 Socratic graph.