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目的:利用代谢组学的研究方法,对宫颈上皮瘤样变(CIN)患者血浆中可能的相关标志物进行筛选。方法:运用高效液相色谱-质谱技术(HPLC-MS)对31例CIN患者(CIN组)和33例健康人(对照组)的血浆进行检测,结合主成分分析法(PCA)对差异代谢物进行模式识别分析并观察组间含量变化。结果:CIN组和对照组的血浆代谢谱得到明显分离,发现并鉴定了10个与CIN相关的潜在生物标志物。与对照组相比,CIN患者血浆中组氨酸、谷氨酸、酪氨酸、丙氨酸、牛磺酸、肌酸、肌醇、硬脂酸和花生四烯酸的含量减少,差异有统计学意义(P<0.05),色氨酸含量显著增多,差异有统计学意义(P<0.05)。结论:基于HPLC-MS结合PCA的代谢组学技术能有效地区分CIN患者和健康人的血浆代谢物,为宫颈癌的早期诊断提供新的途径。
OBJECTIVE: To screen potential plasma markers of cervical intraepithelial neoplasia (CIN) using metabonomics methods. Methods: The plasma samples of 31 patients with CIN (CIN group) and 33 healthy people (control group) were detected by HPLC-MS and analyzed by principal component analysis (PCA) Pattern recognition analysis and observation of changes in content between groups. Results: The plasma metabolites profiles of CIN group and control group were significantly separated, and 10 potential biomarkers associated with CIN were found and identified. Compared with the control group, the contents of histidine, glutamic acid, tyrosine, alanine, taurine, creatine, inositol, stearic acid and arachidonic acid in plasma of CIN patients decreased Statistical significance (P <0.05), tryptophan content increased significantly, the difference was statistically significant (P <0.05). Conclusion: The metabolomics technology based on HPLC-MS combined with PCA can effectively distinguish the plasma metabolites of CIN patients and healthy people, and provide a new way for the early diagnosis of cervical cancer.