Literature DB >> 15802135

Comparison of metabolic profiles from serum from hepatotoxin-treated rats by nuclear-magnetic-resonance-spectroscopy-based metabonomic analysis.

Huifeng Wu1, Xiaoyu Zhang, Xiaojing Li, Zhongfeng Li, Yijie Wu, Fengkui Pei.   

Abstract

Hepatotoxicities were induced in rats using alpha-naphthylisothiocyanate (ANIT), carbon tetrachloride (CCl(4)), and hydrazine (HYD). Male Wistar rats were treated with three typical hepatotoxins, and serum samples were collected after 48 h. Biochemical effects of these toxins on plasma composition were evaluated by high-resolution (1)H nuclear magnetic resonance (NMR) spectroscopy of serum. The biochemical effects of CCl(4) were characterized by an elevated level of 3-d-hydroxybutyrate (HB), acetoacetate (Aca), and creatinine (Cn) in serum, and ANIT led to increases in the amounts of low-density lipoprotein (LDL), alanine, acetate, glycoprotein, succinate, Cn, acetone, 3-d-hydroxybutyrate, and Aca. For the HYD-treated group, LDL, HB, acetate, and Cn were obviously increased in serum. The region delta 0.0-10.0 of each spectrum was segmented into 0.04 ppm. The area under the spectrum was calculated for each segmented region and expressed as an integral value. After removal of the water signal (delta 4.6-5.0) the remaining 235 intensity-related descriptors were used for the pattern recognition analysis. Principal component analysis was used to visualize the similarities and differentiations in biochemical profiles of serum from the rats treated with various hepatotoxins. This work showed the power of the combination of NMR and pattern recognition for the study of biochemical effects of xenobiotics.

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Year:  2005        PMID: 15802135     DOI: 10.1016/j.ab.2005.01.057

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  4 in total

1.  Proton nuclear magnetic resonance and pattern recognition analysis of liver extracts from rats under different anesthetics.

Authors:  Tomoyuki Tajima; Keiko Hirakawa; Hiroshi Kawaguchi; Atsuhiro Sakamoto
Journal:  BMC Med Imaging       Date:  2012-08-16       Impact factor: 1.930

2.  A novel data mining method to identify assay-specific signatures in functional genomic studies.

Authors:  Derrick K Rollins; Dongmei Zhai; Alrica L Joe; Jack W Guidarelli; Abhishek Murarka; Ramon Gonzalez
Journal:  BMC Bioinformatics       Date:  2006-08-14       Impact factor: 3.169

3.  UPLC-Q-TOF/MS based metabolomic profiling of serum and urine of hyperlipidemic rats induced by high fat diet.

Authors:  Qiong Wu; Hai Zhang; Xin Dong; Xiao-Fei Chen; Zhen-Yu Zhu; Zhan-Ying Hong; Yi-Feng Chai
Journal:  J Pharm Anal       Date:  2014-05-10

4.  An integrated proteomic and metabolomic study on the chronic effects of mercury in Suaeda salsa under an environmentally relevant salinity.

Authors:  Xiaoli Liu; Huifeng Wu; Chenglong Ji; Lei Wei; Jianmin Zhao; Junbao Yu
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

  4 in total

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