Abstract：
Background: Serum indices (hemolysis, icterus, and lipemia; HIL) are known to impact clinical chemistry assay results. This study aimed to investigate the impact of HIL indices on serum metabolite profiles and the association of serum metabolite levels with pre-analytical factors of serum samples. Methods: A cohort of serum samples (n = 12,196) from the Korean Genome and Epidemiology Study (KoGES) was analyzed for HIL indices and the pre-analytical variables (SPRECs) which were generated in the process of serum collection. We further performed targeted metabolomics on a subset comprising hemolyzed (n = 60), icteric (n = 60), lipemic (n = 60) groups, and a common control group of non-HIL samples (n = 60) using the Absolute IDQ p180 kit. Results: We found 22 clinical chemistry analytes significantly associated with hemolysis, 25 with icterus, and 24 with lipemia (p < 0.0001). Serum metabolites (n = 27) were associated with all of hemolysis, icterus, and lipemia (p < 0.05). The PC ae C36 2 had exhibited a significant association with pre-analytical factors corresponding to the third (pre-centrifugation delay between processing) and sixth (post-centrifugation) elements of the SPREC. Conclusions: This study showed the association of the serum index and pre-analytical factors with serum metabolite profiles. In addition, the association of pre-analytical factors with serum metabolite concentrations would corroborate the utility of SPRECs for the quality control of biobanked serum samples.
摘要：
背景：血清指标（溶血，icterus,和血脂；HIL）已知会影响临床化学测定结果。本研究旨在探讨HIL指标对血清代谢物谱的影响以及血清代谢物水平与血清样本分析前因素的关联。方法：分析了来自韩国基因组和流行病学研究（KoGES）的一组血清样品（n=12,196）的HIL指数和血清收集过程中产生的分析前变量（SPRECs）。我们进一步对包含溶血（n=60）的亚组进行了靶向代谢组学，黄疸（n=60），血脂（n=60）组，和使用AbsoluteIDQp180试剂盒的非HIL样品的普通对照组(n=60)。结果：我们发现22种临床化学分析物与溶血显著相关，25与黄疸，和24伴有血脂血症（p<0.0001）。血清代谢物（n=27）与所有溶血有关，icterus,和血脂（p<0.05）。PCaeC362与对应于SPREC的第三（处理之间的离心前延迟）和第六（离心后）元素的分析前因素显着相关。结论：这项研究显示了血清指标和分析前因素与血清代谢物谱的关联。此外,分析前因素与血清代谢物浓度的关联将证实SPRECs用于生物样本检测的质量控制的实用性.
