摘要
用多元分析研究了糖尿病患者样品中微量元素，了解微量元素与糖尿病的关系，并提出了新见解。用ＩＣＰ－ＡＥＳ测定糖尿病患者血、发中１８种微量和宏量元素（Ａｌ、Ａｓ、Ｂ、Ｂａ、Ｃｄ、Ｃｏ、Ｃｒ、Ｍｇ、Ｍｎ、Ｎｉ、Ｐｂ、Ｓｅ、Ｚｎ、Ｆｅ、Ｃｕ、Ｃａ、Ｓｒ、Ｔｉ）；结果经多元分析处理，找到血、发共有的相关链：Ｍｎ－Ｎｉ－Ｃｕ－Ｓｒ－Ｔｉ，它与患者年龄、性别、样品无关，看来它提供了机体的某些特殊信息；作非线性映射表明，糖尿病和健康者分布在映射图上不同区域；糖尿病和正常人血、发中微量元素用ＳＩＭＣＡ法判别，判别率分别为８０％（男血）、７５％（男发）、８５％（女血）和７５％（女发）。
The multivariate analysis was introduced to the study of trace elements (TE) in vitro samples of diabetic subjects to ascertain the relationship between TE and diabetes mellitus,and a new perspective in the understanding of diabetes was developed. The contents of 18 kinds of trace and macro elements (Al,As,B,Ba,Cd,Co,Cr,Mg,Mn,Ni,Ph,Se,Zn,Fe,Cu,Ca,Sr,Ti)in hair and blood of diabetic patients were determined by ICP-AES. By use of multivariate analysis a common correlation chain (Mn-Ni-Cu-Sr-Ti) in both hair and blood was found, regardless of sex, age, sample. It seems that the chain suggests some particular information of organism. After non-linear mapping. the images of different groups show that the sample points of diabetic and healthy subjects are distributed on two different areas in a plane. As SIMCA method was applied to the study of TE in blood and hair of diabetic patients and normal control, the discriminatory rates are up to 80% (by TE in blood of male),75% (by TE in hair of male), 85% (by TE in blood of female), 75% (by TE in hair of female).
出处
《广东微量元素科学》
CAS
1996年第11期33-43,共11页
Trace Elements Science
基金
国家自然科学基金
关键词
糖尿病
微量元素
因子分析
多元分析
Trace element, Non-linear mapping,Factor analysis,Diabetes.
