Angioni Stefano, Congiu Francesca, Vitale Salvatore Giovanni, D'Alterio Maurizio Nicola, Noto Antonio, Monni Giovanni, Santoru Maria Laura, Fanos Vassilios, Murgia Federica, Atzori Luigi
Division of Gynecology and Obstetrics, Department of Surgical Sciences, University of Cagliari, 09124 Cagliari, Italy.
ASSL Lanusei, ATS Sardinia, Obstetrics and Gynecology Unit, 08045 Lanusei, Italy.
J Clin Med. 2023 Jan 24;12(3):922. doi: 10.3390/jcm12030922.
Endometriosis affects women of reproductive age, and its pathogenesis is still unclear. Typically, it overlaps other similar medical and surgical conditions, determining a delay in early diagnosis. Metabolomics allows studying metabolic changes in different physiological or pathological states to discover new potential biomarkers. We used the gas chromatography-mass spectrometer (GC-MS) to explore metabolic alterations in endometriosis to better understand its pathophysiology and find new biomarkers.
Twenty-two serum samples of patients with symptomatic endometriosis and ten without it were collected and subjected to GC-MS analysis. Multivariate and univariate statistical analyses were performed, followed by pathway analysis.
Partial least squares discriminant analysis was performed to determine the differences between the two groups ( = 0.003). Threonic acid, 3-hydroxybutyric acid, and proline increased significantly in endometriosis patients, while alanine and valine decreased. ROC curves were built to test the diagnostic power of metabolites. The pathway analysis identified the synthesis and degradation of ketone bodies and the biosynthesis of phenylalanine, tyrosine, and tryptophan as the most altered pathways.
The metabolomic approach identifies metabolic alterations in women with endometriosis. These findings may improve our understanding of the pathophysiological mechanisms of disease and the discovery of new biomarkers.
子宫内膜异位症影响育龄女性,其发病机制仍不清楚。通常,它与其他类似的医学和外科病症重叠,导致早期诊断延迟。代谢组学能够研究不同生理或病理状态下的代谢变化,以发现新的潜在生物标志物。我们使用气相色谱 - 质谱联用仪(GC-MS)来探索子宫内膜异位症中的代谢改变,以更好地理解其病理生理学并寻找新的生物标志物。
收集22例有症状的子宫内膜异位症患者和10例无该病患者的血清样本,并进行GC-MS分析。进行多变量和单变量统计分析,随后进行通路分析。
进行偏最小二乘判别分析以确定两组之间的差异( = 0.003)。在子宫内膜异位症患者中,苏糖酸、3-羟基丁酸和脯氨酸显著增加,而丙氨酸和缬氨酸减少。构建ROC曲线以测试代谢物的诊断能力。通路分析确定酮体的合成与降解以及苯丙氨酸、酪氨酸和色氨酸的生物合成是变化最大的通路。
代谢组学方法确定了子宫内膜异位症女性的代谢改变。这些发现可能会增进我们对疾病病理生理机制的理解以及新生物标志物的发现。