Evidence map›Paper›PMID 39955397›Full record

ArticleScientific reports2025

Identifying robust biomarkers for the diagnosis and subtype distinction of inflammatory bowel disease through comprehensive serum metabolomic profiling.

Ji Eun Kim, Dong Ho Suh, Yu Jin Park, Chi Hyuk Oh, Shin Ju Oh, Hyeji Kang, Yosep Ji, Young Jin Kim, Weon Kim, Eun Sung Jung and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. Nutrients · 2025
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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

11 authors.

Ji Eun Kim *Department of Gastroenterology, Center for Crohn's and Colitis, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Ho Suh *HEM Pharma Inc., Suwon, Gyeonggi, South Korea.
Yu Jin ParkHEM Pharma Inc., Suwon, Gyeonggi, South Korea.
Chi Hyuk OhDepartment of Gastroenterology, Center for Crohn's and Colitis, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea.
Shin Ju OhDepartment of Gastroenterology, Center for Crohn's and Colitis, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyeji KangHEM Pharma Inc., Suwon, Gyeonggi, South Korea.
Yosep JiHEM Pharma Inc., Suwon, Gyeonggi, South Korea.
Young Jin KimDepartment of Biobank, Seoul Clinical Laboratories (SCL), Yongin, Korea.
Weon KimDepartment of Cardiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea.
Eun Sung JungHEM Pharma Inc., Suwon, Gyeonggi, South Korea. esjung@hempharma.bio.
Chang Kyun LeeDepartment of Gastroenterology, Center for Crohn's and Colitis, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea. gidrlee@gmail.com.

Funding

the Ministry of Health and Welfare of the Republic of Korea RS-2023-KH135855the Ministry of Science and ICT NRF-2017R1A5A2014768
6 · The paper itself

Abstract

Inflammatory Bowel Disease (IBD), Crohn's disease (CD) and ulcerative colitis (UC), requires a combination of procedures and tests in diagnosis and discrimination. This study aimed to delineate specific serum metabolomic biomarkers that diagnose IBD and differentiate IBD subgroups. Serum samples and clinical metadata of the participants, IBD patients and Normal Controls (NC), were collected. Untargeted and targeted metabolomic analyses by high-resolution mass spectrometry and multivariate statistical approaches were applied. Further, Receiver Operating Characteristic (ROC) curves, pathways, and network analyses were conducted. Distinct clustering separated IBD patients from the NC, although the CD and UC subgroups overlapped in the non-targeted profiling. Targeted metabolomics revealed elevated tryptophan and indole-3-acetic acid levels and reduced primary-to-secondary bile acid ratios in both CD and UC patients. The differences in specific tryptophan metabolites between CD and UC were identified. The ROC analysis underscored the discriminatory power of the biomarkers (AUC values: NC vs. CD = 0.9738; NC vs. UC = 0.9887; UC vs. CD = 0.7140). Pathway analysis revealed alterations in glycerolipid metabolism, markedly differentiating UC from CD. Network analysis correlated metabolomic markers with the clinical phenotypes of IBD. Serum metabolomic biomarkers can precisely identify IBD, discriminate IBD subtypes, and further reveal the phenotypes of IBD.

Indexed as

BiomarkersColitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesMetabolomeMetabolomicsAdultCase-Control StudiesDiagnosis, DifferentialFemaleHumansMaleMiddle AgedROC CurveTryptophanYoung AdultBiomarkersTryptophanBiomarkersDiagnosisHigh-resolution mass spectrometryInflammatory bowel diseaseMetabolomics

Identifiers

PMID39955397
PMCPMC11830085

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.