通过NMR评估可重现的向代谢物质的评估协议
Darcy Cochran1,2, Panteleimon G Takis3,4,5, James L Alexander6,7,8
1Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588-0304, USA.
The Analyst
|October 8, 2024
概括
临床代谢学需要标准化的样本准备和数据分析,以获得准确的结果. 蛋白沉和辅助拟合分析改善了代谢物提取和量化,提高了生物标志物发现的可靠性.
科学领域:
- 临床代谢组学
- 发现生物标志物的发现.
- 分析化学是一种分析化学.
背景情况:
- 代谢学研究生物对各种因素的反应,但由于不一致的协议,它在可重现性和准确性方面面临挑战.
- 样本准备和数据分析的变化会对代谢数据的可靠性产生重大影响.
研究的目的:
- 系统评估不同样本制备方法和数据分析平台对临床样本中的代谢物概况的影响.
- 为了识别具有高可变性的常见代谢物,需要仔细考虑生物标志物注释.
主要方法:
- 在69个临床样本中评估了25种代谢物,使用了三个制备方法:完整,超过和蛋白质沉.
- 使用1D1H核磁共振 (NMR) 光谱仪进行代谢分析.
- 使用Chenomx v8.3和SMolESY软件分析数据,比较批量安装和辅助安装方法.
主要成果:
- 与过相比,蛋白质沉证明了90%以上的代谢物提取效率更高.
- 陈诺姆克斯的批量装配倾向于高估代谢物度,使其对绝对量化不那么可靠.
- 数据分析中的辅助拟合方法有效地提供了准确的结果.
- 确定了5种常见的代谢物 (2-基酸盐,胆,二甲基胺,谷氨酸,乳酸盐),在折叠变化和标准偏差方面具有很高的可变性.
结论:
- 样本的准备和数据处理显著影响临床代谢学研究的成功和可靠性.
- 方法的标准化和协调对于在代谢学界确保可重复和准确的结果至关重要.
- 在注释潜在生物标志物之前,必须仔细考虑代谢物变异性.
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