Sugimoto Masahiro, Ota Sana, Kaneko Miku, Enomoto Ayame, Soga Tomoyoshi
Research and Development Center for Minimally Invasive Therapies, Institute of Medical Science, Tokyo Medical University, Tokyo, Japan.
Institute for Advanced Biosciences, Keio University, Yamagata, Japan.
Bio Protoc. 2020 Oct 20;10(20):e3797. doi: 10.21769/BioProtoc.3797.
Salivary metabolomics have provided the potentials to detect both oral and systemic diseases. Capillary electrophoresis time-of-flight-mass spectrometry (CE-TOFMS) enables the identification and quantification of various charged metabolites. This method has been employed to biomarker discoveries using human saliva samples, especially for various types of cancers. The untargeted analysis contributes to finding new biomarkers. , the analysis of all detectable signals including both known and unknown metabolites extends the coverage of metabolite to be observed. However, the observed data includes thousands of peaks. Besides, non-linear migration time fluctuation and skewed peaks are caused by the sample condition. The presented pretreatment protocols of saliva samples enhance the reproducibility of migration time drift, which facilitates the matching peaks across the samples and also results in reproducible absolute concentrations of the detected metabolites. The described protocols are utilized not only for saliva but for any liquid samples with slight modifications.
唾液代谢组学为检测口腔和全身性疾病提供了可能。毛细管电泳飞行时间质谱（CE-TOFMS）能够识别和定量各种带电代谢物。该方法已被用于利用人类唾液样本发现生物标志物，特别是针对各种类型的癌症。非靶向分析有助于发现新的生物标志物。对所有可检测信号（包括已知和未知代谢物）的分析扩展了要观察的代谢物覆盖范围。然而，观察到的数据包含数千个峰。此外，样品条件会导致非线性迁移时间波动和峰形扭曲。所提出的唾液样本预处理方案提高了迁移时间漂移的重现性，这有助于跨样本匹配峰，还能得到可重现的检测代谢物绝对浓度。所描述的方案不仅适用于唾液，只需稍加修改也适用于任何液体样本。
