Evidence map›Paper›PMID 38649667›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2024

Serum Metabolites as Diagnostic Biomarkers in Patients with Endometriosis.

Qiuju Li, Le Xu, Ying Lin, Ming Yuan, Xue Jiao, Qianhui Ren, Dong Li, Guoyun Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. miRNA expression haplotype in Hispanics with endometriosis.Frontiers in reproductive health · 2025
    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

8 authors.

Qiuju Li *Department of Obstetrics and Gynecology, Shandong Provincial Hospital, No.324, Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
Le Xu *Medical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Ying LinMedical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Ming YuanDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, No.324, Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
Xue JiaoMedical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Qianhui RenMedical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Dong LiCryomedicine Laboratory, Qilu Hospital of Shandong University, Jinan, People's Republic of China, 250012.
Guoyun WangDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, No.324, Jingwuweiqi Road, Jinan, 250021, People's Republic of China. wangguoy@sdu.edu.cn.ORCID 0000-0003-4023-084X

Funding

National Natural Science Foundation of China 82071621Natural Science Foundation of Shandong Province ZR2023QH186the Major Basic Research of Natural Science Foundation of Shandong ZR2021ZD34the National Key R&D Program of China 2022YFC2704000the National Natural Science Foundation of China 82301855
6 · The paper itself

Abstract

Endometriosis diagnosis is usually delayed. The gold standard for diagnosing endometriosis is laparoscopy, which is invasive and accompanied by several risks. Currently, there are no effective non-invasive biomarkers for diagnosing endometriosis. Here, we investigated whether metabolites whose levels are altered in patients with endometriosis hold potential as diagnostic biomarkers for the disease. This case-control study involved 32 patients with endometriosis and 29 patients with other benign gynecological disease. The diagnosis of all patients was confirmed through postoperative histopathological examination, and the patients were divided into two groups: an endometriosis group (EM) and a control group. Fasting blood was collected and used for non-targeted metabolomic-based detection. The data were processed through principal component analysis, orthogonal partial least squares discriminant analysis, and significance analysis of microarrays. A univariate receiver operating characteristic curve was used to evaluate the diagnostic value of the metabolites. The metabolite profiles of patients with endometriosis were markedly different compared with those of the controls. In addition, several metabolic pathways, including biosynthesis of unsaturated fatty acids, arginine biosynthesis, and glutathione metabolism, were altered. Ornithine and medorinone showed better potential as biomarkers for endometriosis diagnosis than CA125. We analyzed the altered metabolic profiles in patients with endometriosis and found ornithine and medorinone as potential non-invasive biomarkers for endometriosis diagnosis, whereas the combined ornithine-medorinone diagnosis is more valuable. These findings may help advance research on non-invasive diagnostic biomarkers for endometriosis. Further research with an improved study design and a larger cohort should be performed to confirm the diagnostic potential and clinical application of these biomarkers.

Indexed as

BiomarkersEndometriosisAdultCase-Control StudiesFemaleHumansMetabolomeMetabolomicsOrnithineBiomarkersOrnithineBiomarkerDiagnosisEndometriosisMetabolite

Identifiers

What Socratic holds

Textmetadata
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Registered trials

None linked

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.