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      1H NMR-based metabolomics approach to investigating the renal protective effects of Genipin in diabetic rats

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          Abstract

          Diabetic nephropathy is one of the various complications of diabetes mellitus, affecting patients for lifetime. Earlier studies have revealed that genipin can not only improve diabetes, but also induce cytotoxicity. Therefore, it is not clear which effect of genipin on kidneys occurs, when it is used in the treatment of diabetes. In the present study, we performed nuclear magnetic resonance (NMR)-based metabolomics analysis of urine and kidney tissue samples obtained from diabetic rats to explore the change of endogenous metabolites associated with diabetes and concomitant kidney disease. Nine significant differential metabolites that were closely related to renal function were screened. They were mainly related to three metabolic pathways: synthesis and degradation of ketone bodies, glycine, serine and threonine metabolism, and butanoate metabolism, which are involved in methylamine metabolism, energy metabolism and amino acid metabolism. In addition, after the intervention of genipin, the metabolic levels of all the metabolites tended to be normal, indicating a protective effect of genipin on kidneys. Our results may be helpful for understanding the antidiabetic effect of genipin.

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          Author and article information

          Journal
          CJNM
          Chinese Journal of Natural Medicines
          Elsevier
          1875-5364
          20 April 2018
          : 16
          : 4
          : 261-270
          Affiliations
          1Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
          2College of Chemistry and Chemical Engineering of Shanxi University, Taiyuan 030006, China
          Author notes
          *Corresponding author: TIAN Jun-Sheng: Tel (Fax): 86-351-7019297, E-mail: jstian@ 123456sxu.edu.cn ; QIN Xue-mei: Tel (Fax): 86-351-7018379, E-mail: qinxm@ 123456sxu.edu.cn

          These authors have no conflict of interest to declare.

          Article
          S1875-5364(18)30056-6
          10.1016/S1875-5364(18)30056-6
          29703326
          Copyright © 2018 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.
          Funding
          Funded by: National Natural Science Foundation of China
          Award ID: 81441096
          Funded by: Project of Science and Technology of Shanxi Province
          Award ID: 201603D321077
          Funded by: Key Laboratory of Shanxi Province
          Award ID: 201605D111004
          Funded by: Science and Technology Innovation Team of Shanxi Province
          Award ID: 201605D131045-18
          This work was supported by the National Natural Science Foundation of China (No. 81441096), the Project of Science and Technology of Shanxi Province (201603D321077), the Key Laboratory of Shanxi Province (201605D111004), and the Science and Technology Innovation Team of Shanxi Province (201605D131045-18).

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