Fatty acid metabolic profiles and biomarker discovery for type 2 diabetes mellitus using graphical index of separation combined with principal component analysis and partial least squares-discriminant analysis
文献类型：期刊论文
| 作者 | Xu, Wenjuan1; Zhang, Liangxiao1; Huang, Yuhong2; Yang, Qianxu1; Xiao, Hongbin1; Zhang, Deqin2 |
| 刊名 | chemometrics and intelligent laboratory systems
 |
| 出版日期 | 2012-08-15 |
| 卷号 | 118页码:173-179 |
| 关键词 | Fatty acid metabolic profile Potential biomarker Type 2 diabetes mellitus Graphical index of separation (GIOS) Partial least squares-discriminant analysis (PLS-DA) |
| 产权排序 | 1,1 |
| 通讯作者 | 肖红斌 ; deqinzhang |
| 英文摘要 | metabolite profiles and biomarker discovery benefit clinical diagnosis of type 2 diabetes mellitus (t2dm) and reflection of metabolite variations in pathophysiology. fatty acids play an important role in the occurrence and development of diabetes mellitus. the fasting plasma glucose (fpg) values of t2dm patients are partially adjusted to normal range (fpg < 7.0 mmol/l) after the intervention of drug or other treatments. however, whether these patients return to normal is still unknown. in this study, graphical index of separation (gios) was employed to discover the potential biomarkers of fatty acids for t2dm and subsequently investigate whether the fatty acid differences exist between t2dm patients with low and high fpg values (low fasting plasma glucose. fpg < 7.0 mmol/l and high fasting plasma glucose, fpg >= 7.0 mmol/l). as a result, c16:0, c20:2, c20:5, c22:6 and fpg were selected as potential biomarkers, which could significantly decline the misdiagnosis rate of diabetes (from 35/98 to 0/98). additionally, the partial least squares-discriminant analysis (pls-da) was also employed to identify fatty acids responsible for t2dm and subsequently build a discriminant model using significant variables. after monte carlo cross validation, the prediction rate of pls-da reaches to 89.1%. moreover, the biomarkers selected by gios were compared with those selected by pls-da model. the almost accordant results indicate that gios is a simple but comprehensible method to screen biomarkers. (c) 2012 elsevier b.v. all rights reserved. |
| WOS标题词 | science & technology ; technology ; physical sciences |
| 学科主题 | 物理化学 |
| 类目[WOS] | automation & control systems ; chemistry, analytical ; computer science, artificial intelligence ; instruments & instrumentation ; mathematics, interdisciplinary applications ; statistics & probability |
| 研究领域[WOS] | automation & control systems ; chemistry ; computer science ; instruments & instrumentation ; mathematics |
| 关键词[WOS] | variable selection ; multivariate calibration ; uninformative variables ; elimination ; pls ; metabonomics |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000312626800019 |
| 公开日期 | 2013-10-11 |
| 源URL | [http://159.226.238.44/handle/321008/118216]  |
| 专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
| 作者单位 | 1.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China 2.Tianjin Univ Tradit Chinese Med, Tianjin 300193, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Wenjuan,Zhang, Liangxiao,Huang, Yuhong,et al. Fatty acid metabolic profiles and biomarker discovery for type 2 diabetes mellitus using graphical index of separation combined with principal component analysis and partial least squares-discriminant analysis[J]. chemometrics and intelligent laboratory systems,2012,118:173-179. |
| APA | Xu, Wenjuan,Zhang, Liangxiao,Huang, Yuhong,Yang, Qianxu,Xiao, Hongbin,&Zhang, Deqin.(2012).Fatty acid metabolic profiles and biomarker discovery for type 2 diabetes mellitus using graphical index of separation combined with principal component analysis and partial least squares-discriminant analysis.chemometrics and intelligent laboratory systems,118,173-179. |
| MLA | Xu, Wenjuan,et al."Fatty acid metabolic profiles and biomarker discovery for type 2 diabetes mellitus using graphical index of separation combined with principal component analysis and partial least squares-discriminant analysis".chemometrics and intelligent laboratory systems 118(2012):173-179. |
入库方式： OAI收割
来源：大连化学物理研究所
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