National Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618 Tallinn, Estonia.
Molecules. 2022 Jan 26;27(3):802. doi: 10.3390/molecules27030802.
Parahydrogen hyperpolarization has emerged as a promising tool for sensitivity-enhanced NMR metabolomics. It allows resolution and quantification of NMR signals of certain classes of low-abundance metabolites that would otherwise be undetectable. Applications have been implemented in pharmacokinetics and doping drug detection, demonstrating the versatility of the technique. Yet, in order for the method to be adopted by the analytical community, certain limitations have to be understood and overcome. One such question is NMR signal assignment. At present, the only reliable way to establish the identity of an analyte that gives rise to certain parahydrogen hyperpolarized NMR signals is internal standard addition, which can be laborious. Herein we show that analogously to regular NMR metabolomics, generating libraries of hyperpolarized analyte signals is a viable way to address this limitation. We present hyperpolarized spectral data of adenosines and give an early example of identifying them from a urine sample with the small library. Doing so, we verify the detectability of a class of diagnostically valuable metabolites: adenosine and its derivatives, some of which are cancer biomarkers, and some are central to cellular energy management (e.g., ATP).
氘代氢极化已成为一种很有前途的灵敏度增强 NMR 代谢组学工具。它可以解析和定量某些低丰度代谢物的 NMR 信号,否则这些信号是无法检测到的。该技术已在药代动力学和兴奋剂药物检测中得到应用,展示了其多功能性。然而,为了使该方法被分析界采用,必须理解并克服某些限制。其中一个问题是 NMR 信号分配。目前,确定产生某些氘代氢极化 NMR 信号的分析物的身份的唯一可靠方法是内标物添加,这可能很繁琐。在这里,我们表明,类似于常规的 NMR 代谢组学,生成极化分析物信号的库是解决这一限制的一种可行方法。我们展示了腺嘌呤的极化光谱数据,并通过小库提供了一个从尿液样本中识别它们的早期示例。这样做,我们验证了一类具有诊断价值的代谢物的可检测性:腺嘌呤及其衍生物,其中一些是癌症生物标志物,一些是细胞能量管理的核心(例如,ATP)。