Zhou Zhi, Chen Yanhua, He Jiuming, Xu Jing, Zhang Ruiping, Mao Yan, Abliz Zeper
State Key Laboratory of Bioactive Substance & Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science & Peking Union Medical College, Beijing 100050, China.
Xinjiang Institute of Materia Medica, Urumqi 830004, China.
Bioanalysis. 2017 Feb;9(3):239-250. doi: 10.4155/bio-2016-0078. Epub 2017 Jan 23.
In metabolomics research, the use of different blood collection methods may influence endogenous metabolites.
MATERIALS & METHODS: Ultra HPLC coupled with MS/MS was applied together with multivariate statistics to investigate metabolomics differences in serum and plasma samples handled by different anticoagulants. A total of 135 known representative metabolites were assessed for comprehensive evaluation of the effects of anticoagulants.
Exogenous factors, including separation gel ingredients from the serum collection tubes and the anticoagulants, affected mass spectrometer detection. Heparin plasma yielded the best detection of different functional groups and is therefore the optimal blood specimen for metabolomics research, followed by potassium oxalate plasma.
在代谢组学研究中,使用不同的采血方法可能会影响内源性代谢物。
采用超高效液相色谱与串联质谱联用技术,并结合多元统计方法,研究不同抗凝剂处理的血清和血浆样本中的代谢组学差异。共评估了135种已知的代表性代谢物,以全面评估抗凝剂的影响。
包括血清采集管中的分离胶成分和抗凝剂在内的外源性因素影响质谱检测。肝素血浆对不同功能基团的检测效果最佳,因此是代谢组学研究的最佳血液样本,其次是草酸钾血浆。