Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Obstetric and Gynecologic Disease, Beijing, 100730, China.
Reprod Biol Endocrinol. 2022 Mar 9;20(1):49. doi: 10.1186/s12958-022-00914-5.
Uterine adenomyosis is a common gynecologic disease in premenopausal women, the pathological mechanism of which remains largely unknown. The aim of this study was to identify metabolic biomarkers significantly altered in the myometrium of adenomyosis patients.
The comprehensive metabolomic profiles of 17 myometrium specimens from adenomyosis patients and 25 control specimens were analyzed using untargeted approach by combination of gas chromatography-mass spectrometry and high performance liquid chromatography-mass spectrometry. Metabolic data were filtered using orthogonal partial least square-discriminant analysis and univariate statistics.
We firstly demonstrated that the myometrial metabolome of women with adenomyosis is distinct from that of women without adenomyosis. A total of 106 metabolites, mainly including nucleosides, lipids (including acylcarnitines), amino acids, organic acids and carbohydrates, were found to be differentially expressed in myometrium of uteri with adenomyosis compared to the control subjects. Functional inferences of these perturbed metabolites indicated that inflammation, oxidative stress, cell proliferation and apoptosis, and energy metabolism appeared to be involved in the progress of adenomyosis.
This study firstly described the integrated metabolic signatures of the adenomyosis uterus, which provided novel insights for the pathogenesis study of this disease.
子宫腺肌病是一种常见的绝经前妇女妇科疾病，其病理机制在很大程度上尚不清楚。本研究旨在鉴定子宫腺肌病患者的子宫肌层中明显改变的代谢生物标志物。
采用气相色谱-质谱联用和高效液相色谱-质谱联用的非靶向方法分析了 17 例子宫腺肌病患者和 25 例对照患者的 17 个子宫肌层标本的综合代谢组学图谱。使用正交偏最小二乘判别分析和单变量统计对代谢数据进行过滤。
我们首次证明，患有子宫腺肌病的女性的子宫肌层代谢组与没有子宫腺肌病的女性的代谢组不同。与对照组相比，患有子宫腺肌病的子宫肌层中发现有 106 种代谢物（主要包括核苷、脂质（包括酰基辅酶 A）、氨基酸、有机酸和碳水化合物）存在差异表达。这些失调代谢物的功能推断表明，炎症、氧化应激、细胞增殖和凋亡以及能量代谢似乎参与了子宫腺肌病的发生。
本研究首次描述了子宫腺肌病子宫的综合代谢特征，为该疾病的发病机制研究提供了新的见解。
