子宫肌瘤代谢重塑及其隐藏异质性:综合代谢组学分析和质谱成像。

IF 3.3 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Jialin Liu, Maokun Liao, Jingchao Liu, Shuo Liang, Jin Xie, Dandan Liang, Mingzhao Du, Honghui Shi, Wei Song
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引用次数: 0

摘要

子宫肌瘤是女性最常见的妇科良性肿瘤,不仅严重威胁生殖健康,而且直接影响生育能力。子宫结构异常及其引起的代谢紊乱已成为育龄妇女不孕、复发性流产和产科并发症的重要病理因素。然而,子宫肌瘤的潜在代谢机制仍然知之甚少。目的:探讨子宫肌瘤患者的代谢重塑。方法:采用超高效液相色谱-质谱联用(UHPLC-MS)和气相色谱-质谱联用(GC-MS)对子宫肌瘤和子宫肌瘤组织进行代谢组学分析。通过解吸电喷雾电离质谱成像(DESI-MSI)进行空间分辨代谢组学分析肿瘤内代谢异质性。结合机器学习,鉴定出与子宫肌瘤相关的重要代谢物。结果:本研究通过UHPLC-MS与GC-MS相结合,绘制了人体肌层和子宫肌瘤组织中825种代谢物的代谢组图谱。从子宫肌层到子宫肌瘤的代谢转变明显,并伴有代谢物和氨基酸代谢途径的较大变化,显示子宫肌瘤的代谢重塑。结合机器学习,共鉴定了十种代谢物来表征子宫肌瘤的代谢特性。此外,DESI-MSI应用于有效区分透明变性区和无透明变性区,从而首次突出了子宫肌瘤固有的代谢异质性。结论:这些发现为肌瘤的代谢病理生理学提供了新的见解,这可能有助于针对这种广泛存在的妇科疾病制定有针对性的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic remodeling and its hidden heterogeneity in uterine fibroids: comprehensive metabolomic profiling and mass spectrometry imaging.

Introduction: As the most common benign gynecological tumor in women, uterine fibroids not only pose a serious threat to reproductive health but also directly impair fertility. The structural abnormalities of the uterus and metabolic disturbances they induce have become critical pathological contributors to infertility, recurrent miscarriage, and obstetric complications in reproductive-aged women. However, the underlying metabolic mechanisms of uterine fibroids remain poorly understood.

Objective: This study aimed to explore metabolic remodeling of uterine fibroids from patients.

Methods: We performed global metabolomics analysis on myometrium and uterine fibroid tissues by combining ultra-high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS) analysis and gas chromatography coupled with mass spectrometry (GC-MS) analysis. Spatially resolved metabolomics was carried out to analyze intratumor metabolic heterogeneity via desorption electrospray ionization mass spectrometry imaging (DESI-MSI). Combined with machine learning, important metabolites related to uterine fibroids were identified.

Results: This study enabled mapping a comprehensive metabolome atlas up to 825 metabolites in human myometrium and uterine fibroid tissues via combining UHPLC-MS with GC-MS. Metabolic shifts from myometrium to uterine fibroids were clearly observed, which was accompanied by large changes in metabolites and amino acid metabolic pathways to display metabolic remodeling of uterine fibroids. Combined with machine learning, a total of ten metabolites were identified to characterize metabolic properties of uterine fibroids. Furthermore, DESI-MSI was employed to effectively differentiate regions of hyaline degeneration from those devoid of such degeneration, thereby firstly highlighting the intrinsic metabolic heterogeneity present in uterine fibroids.

Conclusion: The findings offer new insights into the metabolic pathophysiology of fibroids, which may aid in the development of targeted therapeutic strategies for this widespread gynecological disorder.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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