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Endometriosis phenotypes are associated with specific serum metabolic profiles determined by proton-nuclear magnetic resonance.
Reproductive BioMedicine Online ( IF 4 ) Pub Date : 2020-07-04 , DOI: 10.1016/j.rbmo.2020.06.019
Chloé Maignien 1 , Pietro Santulli 1 , Fatiha Kateb 2 , Cédric Caradeuc 2 , Louis Marcellin 1 , Khaled Pocate-Cheriet 3 , Mathilde Bourdon 1 , Sandrine Chouzenoux 4 , Frédéric Batteux 5 , Gildas Bertho 2 , Charles Chapron 1
Affiliation  

Research question

What is the correlation between serum metabolic profile and endometriosis phenotype?

Design

A pilot study nestled in a prospective cohort study at a university hospital, including 46 patients with painful endometriosis who underwent surgery and 21 controls who did not have macroscopic endometriotic lesions. Endometriosis was strictly classified into two groups of 23 patients each: endometrioma (OMA) and deep infiltrating endometriosis (DIE). Serum samples were collected before surgery for metabolomic profiling based on proton-nuclear magnetic resonance spectroscopy in combination with statistical approaches. Comparative identification of the metabolites in the serum from endometriosis patients and from controls was carried out, including an analysis according to endometriosis phenotype.

Results

The serum metabolic profiles of the endometriosis patients revealed significantly lower concentrations of several amino acids compared with the controls, whereas the concentrations of free fatty acids and ketone bodies were significantly higher. The OMA and the DIE phenotypes each had a specific metabolic profile, with higher concentrations of two ketone bodies in the OMA group, and higher concentrations of free fatty acids and lipids in the DIE group.

Conclusion

Proton-nuclear magnetic resonance-based metabolomics of serum samples were found to have ample potential for identifying metabolic changes associated with endometriosis phenotypes. This information may improve our understanding of the pathogenesis of endometriosis.



中文翻译:

子宫内膜异位症表型与由质子核磁共振确定的特定血清代谢特征相关。

研究问题

血清代谢特征与子宫内膜异位症表型之间的相关性是什么?

设计

一项初步研究是在大学医院的一项前瞻性队列研究中进行的,包括 46 名接受手术的疼痛性子宫内膜异位症患者和 21 名没有肉眼可见的子宫内膜异位病变的对照组。子宫内膜异位症严格分为两组,每组 23 名患者:子宫内膜异位症 (OMA) 和深部浸润性子宫内膜异位症 (DIE)。在手术前收集血清样本,基于质子核磁共振波谱结合统计方法进行代谢组学分析。对子宫内膜异位症患者和对照组血清中的代谢物进行了比较鉴定,包括根据子宫内膜异位症表型进行的分析。

结果

与对照组相比,子宫内膜异位症患者的血清代谢谱显示几种氨基酸的浓度显着降低,而游离脂肪酸和酮体的浓度显着升高。OMA 和 DIE 表型均具有特定的代谢特征,OMA 组中两个酮体的浓度较高,而 DIE 组中游离脂肪酸和脂质的浓度较高。

结论

发现基于质子核磁共振的血清样本代谢组学具有足够的潜力来识别与子宫内膜异位症表型相关的代谢变化。这些信息可能会提高我们对子宫内膜异位症发病机制的理解。

更新日期:2020-07-04
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