Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics

doi:10.1016/j.talanta.2017.11.045

CORC > 武汉植物园 > 中国科学院武汉植物园

	Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics
	Kamal, Ghulam Mustafa 6; Li, Xihai 7; Xu, Fuqiang 1,5,8; Liu, Huili 1; Wang, Jie 1; Zeng, Hao-Long 2; Du, Hongying 3; Liu, Zeyuan 1; Cheng, Ji 1; Liu, Taotao 4
刊名	TALANTA
	2018-03-01
卷号	179 页码:369-376
关键词	Metabolomics Decision tree Principal component analysis (PCA) Alcohol preference Brain regions
ISSN号	0039-9140
DOI	10.1016/j.talanta.2017.11.045
英文摘要	Metabolomics generate a profile of small molecules from cellular/tissue metabolism, which could directly reflect the mechanisms of complex networks of biochemical reactions. Traditional metabolomics methods, such as OPTS-DA, PIS-DA are mainly used for binary class discrimination. Multiple groups are always involved in the biological system, especially for brain research. Multiple brain regions are involved in the neuronal study of brain metabolic dysfunctions such as alcoholism, Alzheimer's disease, etc. In the current study, 10 different brain regions were utilized for comparative studies between alcohol preferring and non-preferring rats, male and female rats respectively. As many classes are involved (ten different regions and four types of animals), traditional metabolomics methods are no longer efficient for showing differentiation. Here, a novel strategy based on the decision tree algorithm was employed for successfully constructing different classification models to screen out the major characteristics of ten brain regions at the same time. Subsequently, this method was also utilized to select the major effective brain regions related to alcohol preference and gender difference. Compared with the traditional multivariate statistical methods, the decision tree could construct acceptable and understandable classification models for multi-class data analysis. Therefore, the current technology could also be applied to other general metabolomics studies involving multi class data.
资助项目	Chinese Ministry of Science and Technology[2015AA020508] ; National Natural Science Foundation (NSF) of Hubei Province[2015CFB296] ; National Natural Science Foundation of China[31501495] ; National Natural Science Foundation of China[31600666]
WOS研究方向	Chemistry
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000424178000050
内容类型	期刊论文
源URL	[http://202.127.146.157/handle/2RYDP1HH/4646]
专题	中国科学院武汉植物园
通讯作者	Xu, Fuqiang; Wang, Jie
作者单位	1.Chinese Acad Sci, State Key Lab Magnet Resonance & Atom & Mol Phys, Key Lab Magnet Resonance Biol Syst, Wuhan Ctr Magnet Resonance,Wuhan Inst Phys & Math, Wuhan, Hubei, Peoples R China 2.Huazhong Univ Sci & Technol, Tongji Med Coll, Tongii Hosp, Dept Lab Med, Wuhan, Hubei, Peoples R China 3.Huazhong Agr Univ, Coll Food Sci & Technol, Wuhan, Hubei, Peoples R China 4.Peking Univ, Hosp 3, Dept Anesthesiol, Beijing, Peoples R China 5.Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan, Hubei, Peoples R China 6.Univ Faisalabad, Govt Coll, Dept Chem, Faisalabad 38000, Pakistan 7.Fujian Univ Tradit Chinese Med, Acad Integrat Med, Fuzhou, Fujian, Peoples R China 8.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Kamal, Ghulam Mustafa,Li, Xihai,Xu, Fuqiang,et al. Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics[J]. TALANTA,2018,179:369-376.
APA	Kamal, Ghulam Mustafa.,Li, Xihai.,Xu, Fuqiang.,Liu, Huili.,Wang, Jie.,...&Hu, Ting.(2018).Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics.TALANTA,179,369-376.
MLA	Kamal, Ghulam Mustafa,et al."Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics".TALANTA 179(2018):369-376.