Identification of mitochondrial deficiency using principal component analysis

被引:7
作者
Durrieu, G
Letellier, T
Antoch, J
Deshouillers, JM
Malgat, M
Mazat, JP
机构
[1] UNIV BORDEAUX 2, LAB GESBL, F-33076 BORDEAUX, FRANCE
[2] UNIV BORDEAUX 2, LAB MATH STOCHAST, F-33076 BORDEAUX, FRANCE
[3] DEPT STAT, PRAGUE, CZECH REPUBLIC
关键词
mitochondria; mitochondrial myopathies; oxidative phosphorylation; principal component analysis (PCA); biplot;
D O I
10.1023/A:1006840218253
中图分类号
Q2 [细胞生物学];
学科分类号
071009 [细胞生物学]; 090102 [作物遗传育种];
摘要
The mitochondrial pathologies are a heterogeneous group of metabolic disorders that are characterized by anomalies of oxidative phosphorylation, especially in the respiratory chain. The diagnosis of these pathologies involves many investigations among which biochemical study is at present the main tool. However. the analysis of the results obtained during such study remains complex and often does not make it possible to conclude clearly if a patient is affected or not by a biochemical and/or bioenergetic deficiency. This arises from two main problems: 1. The determination of control values from the whole set of variable values (affected and unaffected people). 2. The small size of the population studied and the large number of variables collected which present a rather large variability. To cope with these problems, the principal component analysis method is applied to the results obtained during our biochemical studies. This analysis makes it possible for each respiratory chain complex, to distinguish clearly two subsets of the whole population (affected and unaffected people) as well as to detect the variables which are the most discriminative.
引用
收藏
页码:149 / 156
页数:8
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