1H NMR spectroscopic studies on human seminal plasma: A probative discriminant function analysis classification model
1H NMR spectroscopic studies on human seminal plasma: A probative discriminant function analysis classification model
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DOI：
10.1016/j.jpba.2010.07.021
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发表时间：
2011-01-05
影响因子：
3.4
通讯作者：
Shankhwar, Satya Narain
中科院分区：
文献类型：
--
作者：
Gupta, Ashish;Mandi, Abbas Ali;Shankhwar, Satya Narain
用于预测不孕症和生育力低下的传统基于精液的临床描述符存在缺陷，包括缺乏对潜在病理学的了解。这些方法也非常耗时且费力。为了解决这些限制。 H-1 核磁共振 (NMR) 光谱用于识别和分类特征生物标志物。精液样本采集自 60 名健康、有生育能力的男性和 125 名不育（正常精子症和少精子症）患者。通过 1 H NMR 光谱测量乳酸盐、丙氨酸、胆碱、柠檬酸盐、甘油磷酸胆碱 (GPC)、谷氨酰胺、酪氨酸、组氨酸、苯丙氨酸和尿苷。使用标准实验室方法对同一样本中的精子浓度、活力、脂质过氧化和总蛋白进行评估。通过线性多元判别函数分析 (DFA) 分别分析 NMR 量化的代谢物和临床实验室数据，以确定每组的特征描述符。 DFA 显示丙氨酸、柠檬酸盐、GPC、酪氨酸和苯丙氨酸可用于确定不孕症。基于 DFA 的分类在区分健康对照和不孕患者方面表现出较高的准确度（NMR 为 92.4%，临床实验室方法为 94.1%）。该统计分析还能够准确地将正常精子样本分类为少精子样本（NMR 为 92.9%，临床实验室方法为 92.6%）。总之，基于 H-1 NMR 的代谢筛查似乎是一种有前景、快速且非侵入性的不孕不育检测方法，其灵敏度和特异性与繁琐的实验室方法相似。 (C) 2010 Elsevier B.V. 保留所有权利。
Traditional seminal fluid-based clinical descriptors used to predict infertility and sub-fertility have shortcomings, including lack of insight into the underlying pathology. These methods are also time-consuming and labor-intensive. To address these limitations. H-1 nuclear magnetic resonance (NMR) spectroscopy was used to identify and classify signature biomarkers. Semen samples collected from 60 healthy, fertile men and from 125 infertile (normozoospermic and oligozoospermic) patients. Lactate, alanine, choline, citrate, glycerophosphocholine (GPC), glutamine, tyrosine, histidine, phenylalanine, and uridine were measured by 1H NMR spectroscopy. The sperm concentration, motility, lipid peroxidation, and total protein were evaluated with standard laboratory methods in the same samples. NMR-quantified metabolites and clinical laboratory data were analyzed, separately, through linear multivariate discriminant function analysis (DFA) to determine the signature descriptors for each group. DFA reveals that alanine, citrate, GPC, tyrosine, and phenylalanine can be used to determine infertility. DFA-based classification demonstrated high accuracy (92.4% by NMR and 94.1% by clinical laboratory method) in differentiating healthy controls from infertile patients. This statistical analysis was also able to accurately classify normozoospermic to oligozoospermic samples (92.9% by NMR and 92.6% by clinical laboratory method). In conclusion, H-1 NMR-based metabolic screening appears to be a promising, rapid, and non-invasive approach to probing infertility that has similar sensitivity and specificity to the tedious laboratory method. (C) 2010 Elsevier B.V. All rights reserved.