Evidence map›Paper›PMID 29712562›Full record

ArticleReproductive biology and endocrinology : RB&E2018

Endometrium metabolomic profiling reveals potential biomarkers for diagnosis of endometriosis at minimal-mild stages.

Jingjie Li, Lihuan Guan, Huizhen Zhang, Yue Gao, Jiahong Sun, Xiao Gong, Dongshun Li, Pan Chen, Xiaoyan Liang, Min Huang and 1 more

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Article in Reproductive biology and endocrinology : RB&E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Metabolomics for the identification of biomarkers in endometriosis.Archives of gynecology and obstetrics · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jingjie LiCenter of Reproductive Medicine, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lihuan GuanSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China.
Huizhen ZhangSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China.
Yue GaoSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China.
Jiahong SunSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China.
Xiao GongSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Dongshun LiSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China.
Pan ChenPharmacy Department, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoyan LiangCenter of Reproductive Medicine, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Min HuangSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China.
Huichang BiSchool of Pharmaceutical Sciences in Sun Yat-sen University, 132# Waihuandong Road, Guangzhou, University City, Guangzhou, 510006, People's Republic of China. bihchang@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 81320108027National Natural Science Foundation of China 81503156National Natural Science Foundation of China 81601347Natural Science Foundation of Guangdong Province 2014A030310096Public Welfare Research and Capacity Building Fund of Guangdong 2016A020218006
6 · The paper itself

Abstract

backgroundThe sensitivity and specificity of non-invasive diagnostic methods for endometriosis, especially at early stages, are not optimal. The clinical diagnostic indicator cancer antigen 125 (CA125) performs poorly in the diagnosis of minimal endometriosis, with a sensitivity of 24%. Therefore, it is urgent to explore novel diagnostic biomarkers. We evaluated the metabolomic profile variation of the eutopic endometrium between minimal-mild endometriosis patients and healthy women by ultra-high-performance liquid chromatography coupled with electrospray ionization high-resolution mass spectrometry (UHPLC-ESI-HRMS).

methodsOur study comprised 29 patients with laparoscopically confirmed endometriosis at stages I-II and 37 infertile women who underwent diagnostic laparoscopy combined with hysteroscopy from January 2014 to January 2015. Eutopic endometrium samples were collected by pipelle endometrial biopsy. The metabolites were quantified by UHPLC-ESI-HRMS. The best combination of biomarkers was then selected by performing step-wise logistic regression analysis with backward elimination.

resultsTwelve metabolites were identified as endometriosis-associated biomarkers. The eutopic endometrium metabolomic profile of the endometriosis patients was characterized by a significant increase in the concentration of hypoxanthine, L-arginine, L-tyrosine, leucine, lysine, inosine, omega-3 arachidonic acid, guanosine, xanthosine, lysophosphatidylethanolamine and asparagine. In contrast, the concentration of uric acid was decreased. Metabolites were filtered by step-wise logistic regression with backward elimination, and a model containing uric acid, hypoxanthine, and lysophosphatidylethanolamine was constructed. Receiver-operating characteristic (ROC) analysis confirmed the prognostic value of these parameters for the diagnosis of minimal/mild endometriosis with a sensitivity of 66.7% and a specificity of 90.0%.

conclusionsMetabolomics analysis of the eutopic endometrium in endometriosis was effectively characterized by UHPLC-ESI-HRMS-based metabolomics. Our study supports the importance of purine and amino acid metabolites in the pathophysiology of endometriosis and provides potential biomarkers for semi-invasive diagnosis of early-stage endometriosis.

Indexed as

MetabolomeBiomarkersEndometriosisEndometriumFemaleHumansROC CurveBiomarkersEndometriosisEutopic endometriumMetabolomicsUHPLC-ESI-HRMS

Identifiers

PMID29712562
PMCPMC5928574

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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.