Lipidome atlas of human myometrium reveals distinctive lipid signatures associated with adenomyosis: Combination of high-coverage lipidomics and mass spectrometry imaging.

IF 8.9
Journal of pharmaceutical analysis Pub Date : 2025-09-01 Epub Date: 2025-01-17 DOI:10.1016/j.jpha.2025.101197
Shuo Liang, Jialin Liu, Maokun Liao, Dandan Liang, Yiyi Gong, Bo Zhang, Nan Zhao, Wei Song, Honghui Shi
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Abstract

Adenomyosis is a common gynecological disease characterized by the invasion of endometrial glands and stroma into the myometrium of uterus, the pathological mechanism of which remains unclear yet. Disturbed lipid metabolism extensively affects abnormal cell proliferation and invasion in various diseases. However, the lipidome signature of human myometrium, which could be crucial in the development of adenomyosis, remains unknown. In this study, we generated the first lipidome profiling of human myometrium using a high-coverage and quantitative lipidomics approach based on ultra-performance liquid chromatography (UPLC) coupled with triple quadrupole (QqQ)-mass spectrometry (MS). A total of 317 lipid species were successfully quantified in the myometrial tissues from women with (n = 38) or without (n = 65) adenomyosis who underwent hysterectomy at Peking Union Medical College Hospital (Bejing, China). Up to 83 lipid species showed significant alternations in content between the two groups. These lipid aberrations involved multiple metabolic pathways, and emphasized inflammation, cell migration, and immune dysregulation upon adenomyosis. Moreover, receiver operating characteristic (ROC) curve analysis found that the combination of five lipid species could accurately distinguished the myometrial samples from women with and without adenomyosis with an area under the curve (AUC) of 0.906. Desorption electrospray ionization MS imaging (MSI) further underscored the heterogeneous distributions of these lipid markers in the adenomyosis lesion and adjacent myometrial tissue. Collectively, these results extremely improved our understanding on the molecular basis of adenomyosis, and could shed light on developing potential biomarkers and new therapeutic directions for adenomyosis.

人类肌层脂质组图谱揭示了与b子宫腺肌症相关的独特脂质特征:高覆盖率脂质组学和质谱成像的结合。
子宫腺肌症是一种常见的妇科疾病,以子宫内膜腺体和间质侵入子宫肌层为特征,其病理机制尚不清楚。脂质代谢紊乱广泛影响各种疾病中细胞的异常增殖和侵袭。然而,人类肌层的脂质组特征在子宫腺肌症的发展中可能是至关重要的,目前尚不清楚。在这项研究中,我们使用基于超高效液相色谱(UPLC)和三重四极杆(QqQ)-质谱(MS)的高覆盖率和定量脂质组学方法,生成了人类肌层的第一个脂质组学分析。在北京协和医院(中国北京)行子宫切除术的有(n = 38)或无(n = 65)子宫腺肌症的妇女的子宫肌组织中,共成功定量测定了317种脂质。两组间多达83种脂质含量存在显著差异。这些脂质异常涉及多种代谢途径,并强调炎症、细胞迁移和b子宫腺肌症的免疫失调。此外,受试者工作特征(ROC)曲线分析发现,联合使用五种脂质可以准确区分患有和不患有子宫腺肌症的女性的子宫肌瘤样本,曲线下面积(AUC)为0.906。解吸电喷雾电离MS成像(MSI)进一步强调了这些脂质标志物在子宫腺肌症病变和邻近肌层组织中的不均匀分布。总之,这些结果极大地提高了我们对子宫腺肌症分子基础的认识,并为开发潜在的子宫腺肌症生物标志物和新的治疗方向提供了线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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