Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore.
Precision Medicine Translational Research Programme and Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore.
Nat Commun. 2024 Oct 3;15(1):8562. doi: 10.1038/s41467-024-52087-x.
In this community effort, we compare measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as a set of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method and/or their method of choice. Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively. These results are the most precise (intra-laboratory CVs ≤ 4.2%) and concordant (inter-laboratory CVs < 14%) community-derived absolute concentration values reported to date for four clinically used ceramides in the commonly analyzed SRM 1950. We demonstrate that calibration using authentic labelled standards dramatically reduces data variability. Furthermore, we show how the use of shared RM can correct systematic quantitative biases and help in harmonizing lipidomics. Collectively, the results from the present study provide a significant knowledge base for translation of lipidomic technologies to future clinical applications that might require the determination of reference intervals (RIs) in various human populations or might need to estimate reference change values (RCV), when analytical variability is a key factor for recall during multiple testing of individuals.
在这项社区努力中,我们比较了来自 19 个国家的 34 个实验室的测量结果,使用标记的真实合成标准品混合物,通过质谱法对 NIST(美国国家标准与技术研究院)人血浆标准参考物质(SRM)1950 中四种临床使用的神经酰胺进行定量,以及一组候选血浆参考物质(RM 8231)。参与者要么使用提供的经过验证的方法,要么使用他们选择的方法。使用单点和多点校准分别计算平均浓度值以及实验室内部和实验室之间的变异系数(CV)。这些结果是迄今为止在常用分析的 SRM 1950 中报告的四种临床使用的神经酰胺的最精确(实验室内部 CVs≤4.2%)和一致(实验室之间 CVs<14%)的社区衍生的绝对浓度值。我们证明使用真实标记标准品进行校准可以显著降低数据变异性。此外,我们展示了如何使用共享的 RM 可以纠正系统定量偏差,并有助于协调脂质组学。总之,本研究的结果为将脂质组学技术转化为未来的临床应用提供了重要的知识库,这些应用可能需要在不同人群中确定参考区间(RI),或者在对个体进行多次测试时需要估计参考变化值(RCV),因为分析变异性是召回的关键因素。