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探讨宫颈上皮内瘤样变(CIN)和健康人血浆差异性代谢成分,分析利用基于核磁共振(NMR)代谢组学技术诊断宫颈癌的可行性。收集新疆医科大学第一附属医院病理确诊的36例CIN患者及36名健康人血液标本,应用NMR技术结合正交偏最小二乘判别分析法(OPLS-DA)对NMR谱数据进行模式识别分析,其结果与液基薄层细胞学(TCT)检测结果比较。结果表明,与健康人相比,CIN患者血浆中极低密度脂蛋白、不饱和脂肪酸和丙酮含量增加,与健康人血浆代谢物比较,差异有统计学意义(r<-0.349,P<0.05)。乳酸、丙氨酸、缬氨酸、亮氨酸、肌酸、异亮氨酸和1-甲基组氨酸等多种氨基酸含量减少,与健康人血浆代谢物比较,差异具有统计学意义(r>+0.349,P<0.05)。基于NMR代谢组学技术结合OPLS-DA可以将CIN患者与健康人鉴别开来,其诊断灵敏度为91.7%,假阳性率为8.3%,优于TCT检测。由此得出结论,基于NMR代谢组学技术结合OPLS-DA能有效区分CIN和健康人的血浆代谢物。该技术有望成为早期诊断宫颈癌的一个新手段。
To investigate the differentially expressed plasma components of cervical intraepithelial neoplasia (CIN) and healthy people, and to analyze the feasibility of diagnosing cervical cancer based on nuclear magnetic resonance (NMR) metabolomics. Thirty-six CIN patients and 36 healthy controls were collected from the First Affiliated Hospital of Xinjiang Medical University. The NMR spectra and NMR data were analyzed by Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) The results compared with liquid-based TLCT results. The results showed that compared with healthy people, the levels of very low density lipoprotein, unsaturated fatty acid and acetone in plasma of CIN patients increased significantly compared with those of healthy people (r <-0.349, P <0.05) . Lactic acid, alanine, valine, leucine, creatine, isoleucine and 1-methyl histidine and other amino acids decreased, compared with plasma metabolites of healthy people, the difference was statistically significant ( r> + 0.349, P <0.05). Based on NMR metabonomics combined with OPLS-DA, CIN patients can be distinguished from healthy individuals with a diagnostic sensitivity of 91.7% and a false-positive rate of 8.3%, which is superior to TCT. This concludes that based on NMR metabonomics combined with OPLS-DA, CIN and plasma metabolites of healthy individuals can be effectively distinguished. This technique is expected to be a new tool for early diagnosis of cervical cancer.