Andros Recife, Recife, Brazil. Department of Urology, Instituto de Medicina Integral Prof. Fernando Figueira, Recife, Brazil. Departamento de Cirurgia, Universidade Federal de Pernambuco, Recife, Brazil.
Instituto de Medicina Integral Prof. Fernando Figueira, Recife, Brazil.
Andrology. 2022 Nov;10(8):1581-1592. doi: 10.1111/andr.13281. Epub 2022 Sep 7.
Varicocoele is the most common correctable cause of male infertility; however, predicting varicocoelectomy outcomes is difficult. "Omics" techniques have been increasingly used to develop new diagnostic and prognostics tools for several male infertility causes, and could be applied to study varicocoele.
The objective is to create metabolomics models capable of segregating men who improved semen analysis (SA) parameters or achieved natural pregnancy after microsurgical varicocoelectomy (MV) from those who did not, using hydrogen-1 nuclear magnetic resonance ( H NMR) spectra of seminal plasma of pre-operative samples.
We recruited 29 infertile men with palpable varicocoele. H NMR spectra of seminal plasma were obtained from pre-operative samples and used to create metabonomics models. Improvement was defined as an increase in the total motile progressive sperm count (TMC) of the post-operative SA when compared to the baseline, and pregnancy was assessed for 24 months after MV.
Using linear discriminant analysis (LDA), we created a model that discriminated the men who improved SA from those who did not with accuracy of 93.1%. Another model segregated men who achieved natural pregnancy from men who did not. We identified seven metabolites that were important for group segregation: caprylate, isoleucine, N-acetyltyrosine, carnitine, N-acetylcarnitine, creatine, and threonine.
We described the use of metabonomics model to predict with high accuracy the outcomes of MV in infertile men with varicocoele. The most important metabolites for group segregation are involved in energy metabolism and oxidative stress response, highlighting the pivotal role of these mechanisms in the pathophysiology of varicocoele.
H NMR spectroscopy of seminal plasma can be used in conjunction with multivariate statistical tools to create metabonomics models useful to segregate men with varicocoele based on the reproductive outcomes of MV. These models may help counseling infertile men with varicocoele regarding their prognosis after surgery.
精索静脉曲张是男性不育最常见的可矫正原因;然而,预测精索静脉结扎术的结果是困难的。“组学”技术已被越来越多地用于为几种男性不育原因开发新的诊断和预后工具,并且可以应用于精索静脉曲张的研究。
本研究的目的是创建代谢组学模型,能够区分那些在显微镜精索静脉结扎术(MV)后精液分析(SA)参数改善或自然妊娠的男性,以及那些没有改善的男性,使用术前样本的精液氢-1 核磁共振(1 H NMR)图谱。
我们招募了 29 名患有可触及精索静脉曲张的不育男性。从术前样本中获得精液的 1 H NMR 图谱,并用于创建代谢组学模型。改善定义为与基线相比,术后 SA 的总运动活跃精子计数(TMC)增加,并且在 MV 后 24 个月评估妊娠。
使用线性判别分析(LDA),我们创建了一个能够以 93.1%的准确率区分 SA 改善的男性和未改善的男性的模型。另一个模型将自然妊娠的男性与未妊娠的男性区分开来。我们确定了七个对组间分离很重要的代谢物:辛酸酯、异亮氨酸、N-乙酰酪氨酸、肉碱、N-乙酰肉碱、肌酸和苏氨酸。
我们描述了代谢组学模型的使用,以高精度预测精索静脉曲张不育男性 MV 的结果。用于组间分离的最重要的代谢物涉及能量代谢和氧化应激反应,突出了这些机制在精索静脉曲张病理生理学中的关键作用。
精液的 1 H NMR 光谱可以与多元统计工具结合使用,创建代谢组学模型,根据 MV 的生殖结果来区分精索静脉曲张的男性。这些模型可能有助于为精索静脉曲张不育男性提供手术后预后的咨询。