Evidence map›Paper›PMID 39806438›Full record

ArticleOrphanet journal of rare diseases2025

Specific plasma metabolite profile in intestinal Behçet's syndrome.

Cheng-Cheng Hou, Hua-Fang Bao, Chun-Hui She, Hua-Yu Chen, Guan-Xing Pan, Hua-Ning Chen, Hong-Bing Rui

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Cheng-Cheng Hou *Department of Rheumatology and Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China. m15055308511@163.com.ORCID http://orcid.org/0000-0002-9192-3331
Hua-Fang BaoDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated with Fudan University, Shanghai, China.
Chun-Hui SheDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated with Fudan University, Shanghai, China.
Hua-Yu ChenDepartment of Dermatology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Guan-Xing PanDepartment of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Hua-Ning ChenDepartment of Rheumatology and Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China.
Hong-Bing Rui *Department of Rheumatology and Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China. fjrhb@sina.com.

Funding

Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China 2023Y9030Natural Science Foundation of Fujian Province 2023J05133the scientific research project of the First Affiliated Hospital of Fujian Medical University YJRC4006
6 · The paper itself

Abstract

backgroundIntestinal Behçet's syndrome (IBS) has high morbidity and mortality rates with serious complications. However, there are few specific biomarkers for IBS. The purposes of this study were to investigate the distinctive metabolic changes in plasma samples between IBS patients and healthy people, active IBS and inactive IBS patients, and to identify candidate metabolic biomarkers which would be useful for diagnosing and predicting IBS.

methodsIn this study, we performed a global untargeted metabolomics approach in plasma samples from 30 IBS patients and 20 healthy subjects. P value < 0.05 and variable importance projection (VIP) values > 1 were considered to be statistically significant metabolites. Univariate receiver operating characteristic (ROC) curve analysis was plotted as a measure for assessing the clinical performance of metabolites, and area under curve (AUC) were assessed.

resultsA total of 147 differentially abundant metabolites (DAMs) were identified between IBS patients and normal control (NC) group. The potential pathways involved in the pathogenesis of IBS include linoleic acid metabolism; GABAergic synapse; biosynthesis of unsaturated fatty acids; valine, leucine and isoleucine biosynthesis; ovarian steroidogenesis; and others. In addition, a total of 103 significant metabolites were selected to distinguish active IBS from inactive IBS patients. Tyrosine metabolism, dopaminergic synapse and neuroactive ligand-receptor interaction were found to be closely related to the disease activity of IBS. Furthermore, three potential metabolites including quinate, stearidonic acid (SDA) and capric acid (CA) could significantly differ IBS patients from NC group. On the other hand, 1-methyladenosine (m1A), genipin, methylmalonic acid (MMA) and ascorbate could significantly differentiated active IBS from inactive IBS patients.

conclusionIn conclusion, this study demonstrated the characteristic plasma metabolic profiles between IBS group and NC group, as well as between active and inactive IBS patients by using an untargeted LC/MS metabolomics profiling approach. In this study, quinate, SDA and CA were identified as potential diagnostic biomarkers for IBS. Additionally, m1A, genipin, MMA and ascorbate could serve as potential biomarkers for evaluating IBS activity. These findings might provide potential valuable insights for developing therapeutic strategies to manage IBS in the future.

Indexed as

Behcet SyndromeAdultBiomarkersCase-Control StudiesFemaleHumansMaleMetabolomeMetabolomicsMiddle AgedBiomarkersBehçet’s syndromeBiomarkersDifferentially abundant metaboliteMetabolomic analysis

Identifiers

PMID39806438
PMCPMC11727545

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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.