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代谢谱分析通过超高效液相色谱-电喷雾电离-离子阱-飞行时间质谱法初步鉴定男性不育的血浆生物标志物。

Metabolic profiling putatively identifies plasma biomarkers of male infertility using UPLC-ESI-IT-TOFMS.

作者信息

Zeng F J, Ji H C, Zhang Z M, Luo J K, Lu H M, Wang Y

机构信息

College of Chemistry and Chemical Engineering, Central South University Changsha China

Department of Integrated Traditional Chinese and Western Medicine, Male Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University Changsha China

出版信息

RSC Adv. 2018 Jul 19;8(46):25974-25982. doi: 10.1039/c8ra01897a.

Abstract

Male infertility has become a global health problem. Currently, the diagnosis of male infertility depends on the results of semen quality or requires invasive surgical intervention. The process is complex and time-consuming. Metabolomics is an emerging platform with unique advantages in disease diagnosis and pathological mechanism research. In this study, ultra-performance liquid chromatography-electrospray ionization-ion trap-time of flight mass spectrometry (UPLC-ESI-IT-TOFMS) combined with chemometrics methods was used to discover potential biomarkers of male infertility based on non-targeted plasma metabolomics. Plasma samples from healthy controls (HC, = 43) and various types of infertile patients, , patients having oligozoospermia (OS, = 36), asthenospermia (AS, = 56) and erectile dysfunction (ED, = 45) were analyzed by UPLC-ESI-IT-TOFMS. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were performed. The results of OPLS-DA showed that HCs could be discriminated from infertile patients including OS ( = 0.903, = 0.617, AUC = 0.992), AS ( = 0.985, = 0.658, AUC = 0.999) or ED ( = 0.942, = 0.500, AUC = 0.998). Some potential biomarkers were successfully discovered by variable selection methods and variable important in the projection (VIP) in combination with the -test. Statistical significance was set at < 0.05; the Benjamini-Hochberg false discovery rate was used to reduce type 1 errors resulting from multiple comparisons. The identified biomarkers were associated with energy consumption, hormone regulation and antioxidant defenses in spermatogenesis. To elucidate the pathophysiology of male infertility, relative metabolic pathways were studied. It was found that male infertility is closely related to disturbed phospholipid metabolism, amino acid metabolism, steroid hormone biosynthesis metabolism, metabolism of fatty acids and products of carnitine acylation, and purine and pyrimidine metabolisms. Plasma metabolomics provides a novel strategy for the diagnosis of male infertility and offers a new insight to study pathogenesis mechanism.

摘要

男性不育已成为一个全球性的健康问题。目前,男性不育的诊断依赖于精液质量检测结果或需要进行侵入性手术干预。这个过程复杂且耗时。代谢组学是一个在疾病诊断和病理机制研究方面具有独特优势的新兴平台。在本研究中,采用超高效液相色谱 - 电喷雾电离 - 离子阱 - 飞行时间质谱(UPLC - ESI - IT - TOFMS)结合化学计量学方法,基于非靶向血浆代谢组学发现男性不育的潜在生物标志物。通过UPLC - ESI - IT - TOFMS分析了来自健康对照(HC,n = 43)和各类不育患者的血浆样本,这些不育患者包括少精子症(OS,n = 36)、弱精子症(AS,n = 56)和勃起功能障碍(ED,n = 45)患者。进行了主成分分析(PCA)和正交偏最小二乘法判别分析(OPLS - DA)。OPLS - DA结果显示,健康对照可与包括少精子症(R2 = 0.903,Q2 = 0.617,AUC = 0.992)、弱精子症(R2 = 0.985,Q2 = 0.658,AUC = 0.999)或勃起功能障碍(R2 = 0.942,Q2 = 0.500,AUC = 0.998)在内的不育患者区分开来。通过变量选择方法和投影中变量重要性(VIP)结合t检验成功发现了一些潜在生物标志物。设定统计学显著性为P < 0.05;采用Benjamini - Hochberg错误发现率来减少多重比较导致的I型错误。所鉴定的生物标志物与精子发生中的能量消耗、激素调节和抗氧化防御相关。为阐明男性不育的病理生理学,研究了相关代谢途径。发现男性不育与磷脂代谢紊乱、氨基酸代谢、类固醇激素生物合成代谢、脂肪酸和肉碱酰化产物代谢以及嘌呤和嘧啶代谢密切相关。血浆代谢组学为男性不育的诊断提供了一种新策略,并为研究发病机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c084/9082778/15cff7d1098d/c8ra01897a-f1.jpg

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