目的 采用主成分分析法分析重症肌无力、线粒体肌病和健康者尿中22种有机酸代谢产物的特征,为临床筛查提供资料和依据.方法 通过获得主成分及相应的主成分方程,解释主成分的理化意义.结果 前5个主成分累积贡献率达到86.89%,被确定为主要成分;建立主成分函数表达式,分析主成分与原始变量之间的关系;发现苯基饱和酸类可能是2种疾病的潜在生物标志物成分;马尿酸为2种疾病预警成分.结论 尿有机酸代谢谱主成分分析,有助于疾病的生物标志物的发现和为辅助临床诊断提供科学依据.%Objective Analysis of 22 kinds of organic acid metabolites in urine samples of patients with myasthenia gravis, mitochondrial myopathy and of healthy controls was performed so to provide data and basis for clinical screening .Methods The principal component and the corresponding principal component equation were obtained , the physical and chemical significance of the principal component was explained .Results The cumulative contri-bution rate of the first five principal components reached 86.89%, was identified as the main component , then es-tablished the principal component function expression , and analyzed the relationship between the principal compo-nent and the original variable .It was found that the phenyl saturated acid might be a potential biomarker of the two diseases , and the hippuric acid was an early warning bio-marker of the two diseases .Conclusions Urine organic acid metabolic profile principal component analysis is helpful to find biomarker of disease and may support clinical diagnosis basis .
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