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代谢组学用于子宫内膜异位症生物标志物的鉴定。

Metabolomics for the identification of biomarkers in endometriosis.

作者信息

Pandey Swarnima

机构信息

Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, 20 N. Pine Street, Baltimore, MD, 21201, USA.

出版信息

Arch Gynecol Obstet. 2024 Dec;310(6):2823-2827. doi: 10.1007/s00404-024-07796-5. Epub 2024 Nov 4.

Abstract

BACKGROUND

Endometriosis affects the quality of life in women during their reproductive years, causing immense pain and can result in infertility. It is characterized by inflammation and the growth of the endometrium outside the uterine cavity. Metabolomics has the potential to resolve the major bottleneck of endometriosis which is delay in diagnosis due to the invasive diagnostic approach.In this review, the author has summarized the identified biomarkers of endometriosis from different bodily fluids. Metabolomics promises a non-invasive diagnostic approach for endometriosis that could aid in earlier diagnosis and prognosis.

METHODS

Patients with endometriosis keywords were searched in correspondence with the assigned keywords, including metabolomics from PubMed, from its inception to Dec 2023. The relevant studies from this search were extracted and included in the study.

RESULTS

This article provides information regarding metabolomics studies in endometrisis.

CONCLUSIONS

We demonstrated that metabolomics is about to change the world of endometriosis by analyzing and detecting the diagnosis, prognosis, mortality and treatment response biomarkers.

摘要

背景

子宫内膜异位症会影响育龄女性的生活质量,引发剧痛,并可能导致不孕。其特征是炎症以及子宫腔外子宫内膜的生长。代谢组学有潜力解决子宫内膜异位症的主要瓶颈问题,即侵入性诊断方法导致的诊断延迟。在本综述中,作者总结了从不同体液中鉴定出的子宫内膜异位症生物标志物。代谢组学有望为子宫内膜异位症提供一种非侵入性诊断方法,有助于早期诊断和预后评估。

方法

在PubMed数据库中,从其创建到2023年12月,以子宫内膜异位症相关关键词与指定关键词(包括代谢组学)进行对应搜索。从此次搜索中提取相关研究并纳入本研究。

结果

本文提供了有关子宫内膜异位症代谢组学研究的信息。

结论

我们证明,代谢组学通过分析和检测诊断、预后、死亡率及治疗反应生物标志物,即将改变子宫内膜异位症的研究领域。

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