Influence of preanalytical sampling conditions on the 1H NMR metabolic profile of human blood plasma and introduction of the Standard PREanalytical Code used in biobanking
Influence of preanalytical sampling conditions on the 1H NMR metabolic profile of human blood plasma and introduction of the Standard PREanalytical Code used in biobanking
复制标题
DOI：
10.1007/s11306-015-0774-y
复制
发表时间：
2015-10-01
期刊：
影响因子：
3.6
通讯作者：
Linsen, Loes
中科院分区：
文献类型：
--
作者：
Bervoets, Liene;Louis, Evelyne;Linsen, Loes
临床代谢组学领域样品采集、处理和存储的变化可能会阻碍其有效实施。在本研究中，检查了相关分析前条件对血浆 H-1 NMR 代谢谱的影响。生物样本库界最近开发了一种对分析前条件进行编码的方法，称为标准 PRE 分析代码 (SPREC)。预计 SPREC 将根据各自领域专家小组的事先验证，最终确定哪些样本适合特定分析。为了验证 H-1 NMR 血浆代谢组学的 SPREC，我们在可能的情况下根据 SPREC 对此处使用的条件进行了编码，并评估了其识别影响血浆 H-1 NMR 代谢谱的分析前条件的能力。从所有研究的分析前条件来看，与参考条件（30 分钟）相比，只有较长的处理延迟（3 小时和 8 小时）才会对血浆 H-1 NMR 代谢谱产生显着影响。主成分分析表明，随着处理延迟的增加，系统会发生明显的变化。然而，个体间的变异显然比分析前的变异大得多，这表明对多变量组分类的影响将是最小的。尽管如此，我们建议研究中所有样本的血液采集和离心之间的时间间隔保持相似。在临床代谢组学中实施 SPREC 可以对样本进行适当的编码，并排除受到不需要的干扰性分析前条件的样本。毫无疑问，它将有助于 H-1 NMR 代谢组学在临床、生物库和多中心研究环境中的验证。
Variations in sample collection, processing and storage within the field of clinical metabolomics might hamper its effective implementation. In this study, the impact of relevant preanalytical conditions on the plasma H-1 NMR metabolic profile was examined. The biobanking community recently developed a method for coding preanalytical conditions called the Standard PREanalytical Code (SPREC). It is envisaged that SPREC will ultimately identify which samples are fit for a particular analysis, based on prior validation by a panel of experts in the respective field. In an effort to validate SPREC for H-1 NMR plasma metabolomics, we have coded the conditions used here, when possible, according to SPREC and evaluated its power to identify preanalytical conditions that affect the plasma H-1 NMR metabolic profile. From all preanalytical conditions studied, only prolonged processing delays (3 and 8 h) have a significant impact on the plasma H-1 NMR metabolic profile as compared to the reference condition (30 min). Principal component analysis shows a clear systematic shift as a function of increasing processing delay. Nevertheless, the inter-individual variation is clearly much larger than this preanalytical variation, indicating that the impact on multivariate group classification will be minimal. Nonetheless, we recommend to keep the time gap between blood collection and centrifugation similar for all samples within a study. The implementation of SPREC within clinical metabolomics allows for an appropriate sample encoding and exclusion of samples that were subjected to unwanted, interfering preanalytical conditions. Without doubt, it will contribute to the validation of H-1 NMR metabolomics in clinical, biobank and multicenter research settings.