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These findings indicate that combining NMR measurements with OPLS-DA analysis, 1H-NMR based metabonomics through plasma metabolites can discriminate patients with CIN from healthy volunteers effectively, and provide a novel method for early diagnosis of cervical cancer., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=jQuCcF9TXlTpbpgpFdXdxw==, pdfFileSize=795024, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242120140335158266, articleId=1242120137202013167, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于核磁共振代谢技术研究宫颈上皮内瘤样变患者血浆代谢物, 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基于核磁共振代谢技术研究宫颈上皮内瘤样变患者血浆代谢物
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马俊旗1,阿仙姑·哈斯木2,巴吐尔·买买提明3,阿布力孜·阿布杜拉2,丁 岩1
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    1. 新疆医科大学第一附属医院妇科,乌鲁木齐 8300112. 新疆医科大学基础医学院,乌鲁木齐 8300113. 新疆医科大学药学院,乌鲁木齐 830011
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马俊旗
1H-NMR-based Metabonomics Analysis of Plasma Samples with Cervical Intraepithelial Neoplasia
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    出版时间: 2010-06-28
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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。
    宫颈上皮内瘤样变  /  血浆  /  代谢组  /  核磁共振
    To investigate the metabolites in plasma samples from patients with Cervical Intraepithelial Neoplasia (CIN) and analyze their metabonome variation, then explore the potential applications of 1H-NMR-based metabonomics in diagnosing precancerous diseases, 36 plasma samples of CIN patients and 36 healthy volunteers were studied with the method of Nuclear Magnetic Resonance (NMR) spectroscopy, and the Orthogonal Partial Least-Squares Discriminant Analysis (OPLS-DA) was employed to perform the pattern recognition analysis of NMR spectra. Patients of CIN were characterized by increased levels of lipids,such as very low-density lipoprotein, unsaturated lipid and acetone with statistical significance (r<-0.349, P<0.05), and by decreased levels of lactate, alanine, valine, creatine, isoleucine and 1-methylhistidine with statistical significance (r>+0.349, P<0.05). The results of OPLS-DA show that CIN patients could be discriminated from healthy volunteers with diagnostic sensitivity of 91.7%, false positive rate of 8.3%. These were better than the results of Thinprep Cytological Test (TCT). These findings indicate that combining NMR measurements with OPLS-DA analysis, 1H-NMR based metabonomics through plasma metabolites can discriminate patients with CIN from healthy volunteers effectively, and provide a novel method for early diagnosis of cervical cancer.
    cervical intraepithelial neoplasia  /  plasma  /  metabonome  /  nuclear magnetic resonance
    马俊旗;阿仙姑·哈斯木;巴吐尔·买买提明;阿布力孜·阿布杜拉;丁 岩. 基于核磁共振代谢技术研究宫颈上皮内瘤样变患者血浆代谢物. 科技导报, 2010 , 28 (12) : 36 -40 .
    . 1H-NMR-based Metabonomics Analysis of Plasma Samples with Cervical Intraepithelial Neoplasia[J]. Science & Technology Review, 2010 , 28 (12) : 36 -40 .

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    Percentage of
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    鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
    多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
    红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
    小菇属 Mycena 11 5.26
    光柄菇属 Pluteus 5 2.39
    红菇属 Russula 17 8.13
    栓菌属 Trametes 5 2.39
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