Literature DB >> 29766441

Metabolomic analysis and biochemical changes in the urine and serum of streptozotocin-induced normal- and obese-diabetic rats.

Ahmed Mediani1, Faridah Abas2,3, M Maulidiani4, Azliana Abu Bakar Sajak4, Alfi Khatib4,5, Chin Ping Tan6, Intan Safinar Ismail4,7, Khozirah Shaari4,7, Amin Ismail8, N H Lajis4.   

Abstract

Diabetes mellitus (DM) is a chronic disease that can affect metabolism of glucose and other metabolites. In this study, the normal- and obese-diabetic rats were compared to understand the diabetes disorders of type 1 and 2 diabetes mellitus. This was done by evaluating their urine metabolites using proton nuclear magnetic resonance (1H NMR)-based metabolomics and comparing with controls at different time points, considering the induction periods of obesity and diabetes. The biochemical parameters of the serum were also investigated. The obese-diabetic model was developed by feeding the rats a high-fat diet and inducing diabetic conditions with a low dose of streptozotocin (STZ) (25 mg/kg bw). However, the normal rats were induced by a high dose of STZ (55 mg/kg bw). A partial least squares discriminant analysis (PLS-DA) model showed the biomarkers of both DM types compared to control. The synthesis and degradation of ketone bodies, tricarboxylic (TCA) cycles, and amino acid pathways were the ones most involved in the variation with the highest impact. The diabetic groups also exhibited a noticeable increase in the plasma glucose level and lipid profile disorders compared to the control. There was also an increase in the plasma cholesterol and low-density lipoprotein (LDL) levels and a decline in the high-density lipoprotein (HDL) of diabetic rats. The normal-diabetic rats exhibited the highest effect of all parameters compared to the obese-diabetic rats in the advancement of the DM period. This finding can build a platform to understand the metabolic and biochemical complications of both types of DM and can generate ideas for finding targeted drugs.

Entities:  

Keywords:  1H NMR-based metabolomics; Diabetes mellitus; Metabolic pathway; Multivariate data analysis

Mesh:

Substances:

Year:  2018        PMID: 29766441     DOI: 10.1007/s13105-018-0631-3

Source DB:  PubMed          Journal:  J Physiol Biochem        ISSN: 1138-7548            Impact factor:   4.158


  29 in total

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Journal:  J Physiol Biochem       Date:  2013-08-24       Impact factor: 4.158

2.  Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a (1)H-NMR based metabonomic approach.

Authors:  Chengfeng Diao; Liangcai Zhao; Mimi Guan; Yongquan Zheng; Minjiang Chen; Yunjun Yang; Li Lin; Weijian Chen; Hongchang Gao
Journal:  Mol Biosyst       Date:  2014-01-21

3.  Integration of metabolomics and transcriptomics data to aid biomarker discovery in type 2 diabetes.

Authors:  Susan C Connor; Michael K Hansen; Adam Corner; Randall F Smith; Terence E Ryan
Journal:  Mol Biosyst       Date:  2010-03-23

4.  Application of GC/MS-based metabonomic profiling in studying the therapeutic effects of Huangbai-Zhimu herb-pair (HZ) extract on streptozotocin-induced type 2 diabetes in mice.

Authors:  Lili Song; Hongyue Liu; Yan Wang; Yuming Wang; Jinbiao Liu; Zhensheng Zhou; Huilun Chu; Pengwei Zhuang; Yanjun Zhang
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2015-05-18       Impact factor: 3.205

5.  Asiatic acid preserves beta cell mass and mitigates hyperglycemia in streptozocin-induced diabetic rats.

Authors:  Jun Liu; Ting He; Qian Lu; Jing Shang; Hongbin Sun; Luyong Zhang
Journal:  Diabetes Metab Res Rev       Date:  2010-09       Impact factor: 4.876

6.  Synergistic antihyperglycemic effects between plant-derived oleanolic acid and insulin in streptozotocin-induced diabetic rats.

Authors:  C T Musabayane; M A Tufts; R F Mapanga
Journal:  Ren Fail       Date:  2010       Impact factor: 2.606

7.  Anti-diabetic effects of the ethanol extract of a functional formula diet in mice fed with a fructose/fat-rich combination diet.

Authors:  Qian Cheng; Xiaofeng Zhang; Ou Wang; Jia Liu; Shengbao Cai; Ruojun Wang; Feng Zhou; Baoping Ji
Journal:  J Sci Food Agric       Date:  2014-06-24       Impact factor: 3.638

8.  Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes.

Authors:  Ian R Lanza; Shucha Zhang; Lawrence E Ward; Helen Karakelides; Daniel Raftery; K Sreekumaran Nair
Journal:  PLoS One       Date:  2010-05-10       Impact factor: 3.240

Review 9.  Animal models in type 2 diabetes research: an overview.

Authors:  K Srinivasan; P Ramarao
Journal:  Indian J Med Res       Date:  2007-03       Impact factor: 2.375

10.  MetaboAnalyst 3.0--making metabolomics more meaningful.

Authors:  Jianguo Xia; Igor V Sinelnikov; Beomsoo Han; David S Wishart
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

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Journal:  Chin Herb Med       Date:  2022-07-06

2.  Characterization and Comparison of the Divergent Metabolic Consequences of High-Sugar and High-Fat Diets in Male Wistar Rats.

Authors:  Liske Kotzé-Hörstmann; Annibale Cois; Rabia Johnson; Lawrence Mabasa; Samukelisiwe Shabalala; Paul J Van Jaarsveld; Hanél Sadie-Van Gijsen
Journal:  Front Physiol       Date:  2022-07-04       Impact factor: 4.755

3.  Study on Hypoglycemic Effect of the Drug Pair of Astragalus Radix and Dioscoreae Rhizoma in T2DM Rats by Network Pharmacology and Metabonomics.

Authors:  Qian Guo; Wanlin Niu; Xuejia Li; Hongru Guo; Na Zhang; Xiufeng Wang; Lirong Wu
Journal:  Molecules       Date:  2019-11-08       Impact factor: 4.411

  3 in total

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