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经验证的超高效液相色谱混合高分辨率质谱联用和激光辅助快速蒸发解吸质谱用于唾液代谢组学。

Validated Ultra-High-Performance Liquid Chromatography Hybrid High-Resolution Mass Spectrometry and Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry for Salivary Metabolomics.

机构信息

Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium.

Unit Nutrition and Food Safety, Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Corneel Heymanslaan 10, 9000 Gent, Belgium.

出版信息

Anal Chem. 2020 Apr 7;92(7):5116-5124. doi: 10.1021/acs.analchem.9b05598. Epub 2020 Mar 18.

Abstract

Whereas urine and blood are typically targeted in clinical research, saliva represents an interesting alternative because its intrinsic metabolome is chemically diverse and reflective for various biological processes. Moreover, saliva collection is easy and noninvasive, which is especially valuable for cohorts in which sample collection is challenging, for example, infants and children. With this rationale, we established a validated ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS) method for salivary metabolic profiling and fingerprinting. Hereby, 450 μL of saliva was centrifuged and passed over a 0.45-μm polyamide membrane filter, after which the extract was subjected to chromatographic analysis (HSS T3 column) and Q-Exactive Orbitrap-MS. For the majority of the profiled metabolites, good linearity ( ≥ 0.99) and precision (coefficient of variance ≤ 15%) was achieved. The fingerprinting performance was evaluated based on the complete metabolome (11 385 components), whereby 76.8% was found compliant with the criteria for precision (coefficient of variance ≤ 30%) and 82.7% with linearity ( ≥ 0.99). In addition, the method was proven fit-for-purpose for a cohort of 140 adolescents (6-16 years, stratified according to weight), yielding relevant profiles (45 obesity-related metabolites) and discriminative fingerprints ( of 0.784 for supervised discriminant analysis). Alternatively, laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS) was established for rapid fingerprinting of saliva, thereby using a Nd:YAG laser and Xevo G2-XS QToF-MS. With an acquisition time of 0.5 min per sample, LA-REIMS offers unique opportunities for point-of-care applications. In conclusion, this work presents a platform of UHPLC-HRMS and LA-REIMS, complementing each other to perform salivary metabolomics.

摘要

虽然尿液和血液通常是临床研究的目标,但唾液是一个很有吸引力的替代物,因为它的内源性代谢组在化学上是多样的,并且可以反映各种生物过程。此外,唾液采集简单且无创,这对于样本采集具有挑战性的队列特别有价值,例如婴儿和儿童。基于这一原理,我们建立了一种经过验证的用于唾液代谢组学分析和指纹图谱的超高效液相色谱高分辨率质谱(UHPLC-HRMS)方法。在此,将 450 μL 的唾液离心,然后通过 0.45-μm 聚酰胺膜过滤器,然后将提取物进行色谱分析(HSS T3 柱)和 Q-Exactive Orbitrap-MS 分析。对于大多数分析的代谢物,均实现了良好的线性关系(≥0.99)和精密度(变异系数≤15%)。基于完整的代谢组(11385 个成分)评估了指纹图谱的性能,其中 76.8%符合精密度(变异系数≤30%)标准,82.7%符合线性关系(≥0.99)标准。此外,该方法还适用于 140 名青少年(6-16 岁,根据体重分层)的队列,可提供相关的图谱(45 种肥胖相关代谢物)和有区别的指纹图谱(监督判别分析的为 0.784)。或者,还建立了用于唾液快速指纹图谱分析的激光辅助快速蒸发电离质谱(LA-REIMS),采用 Nd:YAG 激光和 Xevo G2-XS QToF-MS。LA-REIMS 每样品采集时间为 0.5 分钟,为即时护理应用提供了独特的机会。总之,本工作提出了一个 UHPLC-HRMS 和 LA-REIMS 平台,彼此互补,用于唾液代谢组学分析。

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