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

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• 作者：Zheng Xiang ; Hao Sun ; Xiaojun Cai ; Dahui Chen
• 关键词：Metabonomics ; Network analysis ; Renal interstitial fibrosis ; UPLC ; Q ; TOF ; MS
• 刊名：Analytical and Bioanalytical Chemistry
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：408
• 期：10
• 页码：2607-2619
• 全文大小：780 KB
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• 作者单位：Zheng Xiang (1) (2)
  Hao Sun (2)
  Xiaojun Cai (2)
  Dahui Chen (2)
  
  1. School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
  2. School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Analytical Chemistry
  Food Science
  Inorganic Chemistry
  Physical Chemistry
  Monitoring, Environmental Analysis and Environmental Ecotoxicology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1618-2650

文摘

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.”

Graphical Abstract ᅟ

Keywords Metabonomics Network analysis Renal interstitial fibrosis UPLC-Q-TOF-MS Electronic supplementary materialThe online version of this article (doi:10.​1007/​s00216-016-9368-4) contains supplementary material, which is available to authorized users.