Hirayama Akiyoshi, Sugimoto Masahiro, Suzuki Asako, Hatakeyama Yoko, Enomoto Ayame, Harada Sei, Soga Tomoyoshi, Tomita Masaru, Takebayashi Toru
Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Department of Preventive Medicine and Public Health, School of Medicine, Keio University, Shinjuku, Tokyo, Japan.
Electrophoresis. 2015 Sep;36(18):2148-2155. doi: 10.1002/elps.201400600. Epub 2015 May 18.
The development of high-throughput metabolite measurement technologies has enabled the use of metabolomics for epidemiologic studies by profiling metabolite concentrations in large cohorts of human blood samples. Standard protocols are necessary to obtain unbiased profiles through multiple runs over long periods of time and to allow reliable statistical analyses. This study assessed the effects of sampling procedures and storage conditions on the stability of metabolomic profiles in plasma and serum. Charged metabolomic profiles were determined by capillary electrophoresis-mass spectrometry (CE-MS) and compared by multivariate analyses. The effects of pre-analytical procedures, including times for clotting and incubation of serum and plasma, respectively; incubation temperatures; and number of freeze-thaw cycles, were assessed. Overall, inter-individual differences in profiles were larger than intra-individual differences, and profiles in plasma showed better stability than those in serum. These quantified datasets of metabolites, along with their stability and variation, may help in interpreting data from long-term cohort studies.
高通量代谢物测量技术的发展,使得通过对大量人类血液样本中的代谢物浓度进行分析,将代谢组学应用于流行病学研究成为可能。需要标准方案,以便通过长时间的多次运行获得无偏倚的分析结果,并进行可靠的统计分析。本研究评估了采样程序和储存条件对血浆和血清中代谢组学分析结果稳定性的影响。通过毛细管电泳-质谱联用(CE-MS)测定带电代谢组学分析结果,并通过多变量分析进行比较。评估了分析前程序的影响,包括血清和血浆的凝血时间和孵育时间、孵育温度以及冻融循环次数。总体而言,个体间的分析结果差异大于个体内差异,血浆中的分析结果比血清中的稳定性更好。这些代谢物的定量数据集及其稳定性和变异性,可能有助于解释长期队列研究的数据。