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[多元分析在医学化学中的应用]

[Use of multivariate analysis in medical chemistry].

作者信息

Mestek O, Zima T, Nĕmecek K, Suchánek M, Zilková J

机构信息

Ustav analytické chemie, VSCHT, Univerzity Karlovy, Praha, Czech Republic.

出版信息

Sb Lek. 1997;98(2):143-50.

PMID:9601807
Abstract

Alternations in trace elements concentrations are intensively studied because of their possible role in pathogenesis and progress of diseases. Three groups of patients were investigated: haemodialysis patients (HD) (n = 17), continual ambulatory peritoneal dialysis patients (CAPD) (n = 11), and control group of blood donors (n = 12). They were analyzed for Se, Zn and Cu concentration in plasma and erythrocytes by inductively--coupled plasma mass spectroscopy. Distribution of analyzed elements between these blood compartments was found different in all groups of studied patients. Erythrocytes were enriched by Se (twofold higher concentration compared to plasma) and by Zn (10-20 fold higher concentrations compared to plasma). On the other hand, human plasma was enriched by Cu (approximately twofold higher concentration then in erythrocytes). Results of analyses were processed by multivariate analysis of variance (MANOVA). When only results of plasma analysis were involved into MANOVA, differences between HD patients and other two groups were found whereas CAPD and control group were not distinguished each other. However, these two groups were mutually differenced when MANOVA comprised all trace elements concentrations: both plasma and erythrocytes. Methods of multivariate statistic are able to study not only the individual variables but even their mutual relations and their medical applications are very useful.

摘要

由于微量元素浓度变化在疾病的发病机制和进展中可能发挥的作用,因此对其进行了深入研究。研究了三组患者:血液透析患者(HD)(n = 17)、持续性非卧床腹膜透析患者(CAPD)(n = 11)以及献血者对照组(n = 12)。通过电感耦合等离子体质谱法分析了他们血浆和红细胞中的硒、锌和铜浓度。在所研究的所有患者组中,这些血液成分中分析元素的分布均存在差异。红细胞富含硒(浓度比血浆高两倍)和锌(浓度比血浆高10至20倍)。另一方面,人体血浆富含铜(浓度比红细胞高约两倍)。分析结果通过多变量方差分析(MANOVA)进行处理。当仅将血浆分析结果纳入MANOVA时,发现HD患者与其他两组之间存在差异,而CAPD组和对照组之间没有区别。然而,当MANOVA纳入所有微量元素浓度(包括血浆和红细胞)时,这两组相互存在差异。多变量统计方法不仅能够研究单个变量,还能研究它们之间的相互关系,其医学应用非常有用。

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