基于毛细管电泳法人血清的代谢组学研究

Study on human serum metabonomics with capillary electrophoresis

目的本文以毛细管电泳（CE）技术对肿瘤患者血清代谢组学规律的研究。方法非涂层石英毛细管柱（57cm×75μm）；分离电压30kv，毛细管柱温20℃，检测波长为200nm，毛细管电泳背景电解质：40mmol／L硼砂＋5mmol／LMSDS，pill0．0；进样量为5s×0．5psi；图谱中数据用32Karat软件导出，导出数据经SIMCA—P12．0的PLS．DA法进行模式识别分析。结果血清中各代谢组分被完全分离，日内和日间精密度（RSD）分别为0．18％～4．25％和11．14％-4．65％：健康组血清和肿瘤组血清全组分分析能较好聚类区分；提取出11个高贡献率的代谢物并能对健康组和肿瘤组聚类区分；采用该方法获得的代谢物变化与同时检测出CA125值的变化相对一致。结论代谢组学的CE法检测和研究可能成为肿瘤早期诊断潜在标志物研究的又一种方法，所体现的关联代谢组分可为进一步肿瘤的早期诊断生物标志物的研究提供一定的基础依据。

Objective To study the metabonomics of tumor patient serum with capillary electrophoresis （CE）. Methods Capillary zone electrophoresis （CZE） was used with non-coated fused silica capillary column（57cm×75μm）, separation voltage of 30kV at 20℃, and with running buffer of 40mmol/L borax-5mmol/L SDS（pH 10.0） with injection time of 5 second at 0.5 psi and detection wavelength of 200nm. The data was exported with 32Karat and analyzed by SIMCA-P 12.0 with PLS-DA method. Results The serum metabolic components were completely separated, the intraday and interday precision （RSD） are 0.18%-4.25% and 1.14%-4.65%. Healthy serum and tumor serum were got well clustering distinguished. 11 metabolites with high contribution rate were extracted and it was well clustering distinguished between healthy serum and tumor serum with the 11 metabolites; the change of metabolites and simultaneous CA125 were relatively consistent. Conclusion The metabonomics with CE may become another method for early diagnosis of cancer potential biomarkers, and the relative metabolic components reflected can provide some basic evidence for further early diagnosis of cancer biomarker research.