Literature DB >> 26873208

The study on serum and urine of renal interstitial fibrosis rats induced by unilateral ureteral obstruction based on metabonomics and network analysis methods.

Zheng Xiang1,2, Hao Sun3, Xiaojun Cai3, Dahui Chen3.   

Abstract

Transmission of biological information is a biochemical process of multistep cascade from genes/proteins to metabolites. However, because most metabolites reflect the terminal information of the biochemical process, it is difficult to describe the transmission process of disease information in terms of the metabolomics strategy. In this paper, by incorporating network and metabolomics methods, an integrated approach was proposed to systematically investigate and explain the molecular mechanism of renal interstitial fibrosis. Through analysis of the network, the cascade transmission process of disease information starting from genes/proteins to metabolites was putatively identified and uncovered. The results indicated that renal fibrosis was involved in metabolic pathways of glycerophospholipid metabolism, biosynthesis of unsaturated fatty acids and arachidonic acid metabolism, riboflavin metabolism, tyrosine metabolism, and sphingolipid metabolism. These pathways involve kidney disease genes such as TGF-β1 and P2RX7. Our results showed that combining metabolomics and network analysis can provide new strategies and ideas for the interpretation of pathogenesis of disease with full consideration of "gene-protein-metabolite."

Entities:  

Keywords:  Metabonomics; Network analysis; Renal interstitial fibrosis; UPLC-Q-TOF-MS

Mesh:

Year:  2016        PMID: 26873208     DOI: 10.1007/s00216-016-9368-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  7 in total

1.  Mass Spectrometry Imaging of Kidney Tissue Sections of Rat Subjected to Unilateral Ureteral Obstruction.

Authors:  Huihui Liu; Wan Li; Qing He; Jinjuan Xue; Jiyun Wang; Caiqiao Xiong; Xiaoping Pu; Zongxiu Nie
Journal:  Sci Rep       Date:  2017-02-03       Impact factor: 4.379

2.  Disease-syndrome combination modeling: metabolomic strategy for the pathogenesis of chronic kidney disease.

Authors:  Shasha Li; Peng Xu; Ling Han; Wei Mao; Yiming Wang; Guoan Luo; Nizhi Yang
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

3.  Urinary metabolomics reveals the therapeutic effect of HuangQi Injections in cisplatin-induced nephrotoxic rats.

Authors:  Chang-Yin Li; Hui-Ting Song; Xiao-Xiao Wang; Yao-Yao Wan; Xuan-Sheng Ding; Shi-Jia Liu; Guo-Liang Dai; Yue-Heng Liu; Wen-Zheng Ju
Journal:  Sci Rep       Date:  2017-06-15       Impact factor: 4.379

4.  Early detection of unilateral ureteral obstruction by desorption electrospray ionization mass spectrometry.

Authors:  Shibdas Banerjee; Anny Chuu-Yun Wong; Xin Yan; Bo Wu; Hongjuan Zhao; Robert J Tibshirani; Richard N Zare; James D Brooks
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

5.  Kidney Tissue Targeted Metabolic Profiling of Unilateral Ureteral Obstruction Rats by NMR.

Authors:  Zhenyu Li; Aiping Li; Jining Gao; Hong Li; Xuemei Qin
Journal:  Front Pharmacol       Date:  2016-09-15       Impact factor: 5.810

6.  Identification of key metabolic changes during liver fibrosis progression in rats using a urine and serum metabolomics approach.

Authors:  Hong Chang; Hong-Yu Meng; Shu-Min Liu; Yu Wang; Xiao-Xu Yang; Fang Lu; Hong-Yu Wang
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

7.  Identification of the Perturbed Metabolic Pathways Associating With Renal Fibrosis and Evaluating Metabolome Changes of Pretreatment With Astragalus polysaccharide Through Liquid Chromatography Quadrupole Time-Of-Flight Mass Spectrometry.

Authors:  Lei Ren; Xiao-Ying Guo; Fei Gao; Mei-Li Jin; Xiang-Nan Song
Journal:  Front Pharmacol       Date:  2020-01-29       Impact factor: 5.810

  7 in total

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