Literature DB >> 17190852

A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human.

R M Salek1, M L Maguire, E Bentley, D V Rubtsov, T Hough, M Cheeseman, D Nunez, B C Sweatman, J N Haselden, R D Cox, S C Connor, J L Griffin.   

Abstract

Type 2 diabetes mellitus is the result of a combination of impaired insulin secretion with reduced insulin sensitivity of target tissues. There are an estimated 150 million affected individuals worldwide, of whom a large proportion remains undiagnosed because of a lack of specific symptoms early in this disorder and inadequate diagnostics. In this study, NMR-based metabolomic analysis in conjunction with multivariate statistics was applied to examine the urinary metabolic changes in two rodent models of type 2 diabetes mellitus as well as unmedicated human sufferers. The db/db mouse and obese Zucker (fa/fa) rat have autosomal recessive defects in the leptin receptor gene, causing type 2 diabetes. 1H-NMR spectra of urine were used in conjunction with uni- and multivariate statistics to identify disease-related metabolic changes in these two animal models and human sufferers. This study demonstrates metabolic similarities between the three species examined, including metabolic responses associated with general systemic stress, changes in the TCA cycle, and perturbations in nucleotide metabolism and in methylamine metabolism. All three species demonstrated profound changes in nucleotide metabolism, including that of N-methylnicotinamide and N-methyl-2-pyridone-5-carboxamide, which may provide unique biomarkers for following type 2 diabetes mellitus progression.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17190852     DOI: 10.1152/physiolgenomics.00194.2006

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  128 in total

1.  Differences in metabolomic profiles of male db/db and s/s, leptin receptor mutant mice.

Authors:  Nadia Saadat; Heidi B IglayReger; Martin G Myers; Peter Bodary; Smiti V Gupta
Journal:  Physiol Genomics       Date:  2012-02-07       Impact factor: 3.107

2.  UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation.

Authors:  Andrew D Patterson; Henghong Li; Gabriel S Eichler; Kristopher W Krausz; John N Weinstein; Albert J Fornace; Frank J Gonzalez; Jeffrey R Idle
Journal:  Anal Chem       Date:  2008-01-04       Impact factor: 6.986

3.  The metabolome profiling and pathway analysis in metabolic healthy and abnormal obesity.

Authors:  H-H Chen; Y J Tseng; S-Y Wang; Y-S Tsai; C-S Chang; T-C Kuo; W-J Yao; C-C Shieh; C-H Wu; P-H Kuo
Journal:  Int J Obes (Lond)       Date:  2015-04-24       Impact factor: 5.095

4.  NMR-based metabolomics of urine for the atherosclerotic mouse model using apolipoprotein-E deficient mice.

Authors:  Gregory C Leo; Andrew L Darrow
Journal:  Magn Reson Chem       Date:  2009-12       Impact factor: 2.447

5.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Authors:  Warwick B Dunn; David Broadhurst; Paul Begley; Eva Zelena; Sue Francis-McIntyre; Nadine Anderson; Marie Brown; Joshau D Knowles; Antony Halsall; John N Haselden; Andrew W Nicholls; Ian D Wilson; Douglas B Kell; Royston Goodacre
Journal:  Nat Protoc       Date:  2011-06-30       Impact factor: 13.491

6.  Interdependence of signal processing and analysis of urine 1H NMR spectra for metabolic profiling.

Authors:  Shucha Zhang; Cheng Zheng; Ian R Lanza; K Sreekumaran Nair; Daniel Raftery; Olga Vitek
Journal:  Anal Chem       Date:  2009-08-01       Impact factor: 6.986

7.  Hyperbaric oxygen therapy (HBOT) suppresses biomarkers of cell stress and kidney injury in diabetic mice.

Authors:  Rajeev Verma; Avijeet Chopra; Charles Giardina; Venkata Sabbisetti; Joan A Smyth; Lawrence E Hightower; George A Perdrizet
Journal:  Cell Stress Chaperones       Date:  2015-02-04       Impact factor: 3.667

8.  Metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes.

Authors:  Aleksej Zelezniak; Tune H Pers; Simão Soares; Mary Elizabeth Patti; Kiran Raosaheb Patil
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

9.  Metabonomic fingerprints of fasting plasma and spot urine reveal human pre-diabetic metabolic traits.

Authors:  Xinjie Zhao; Jens Fritsche; Jiangshan Wang; Jing Chen; Kilian Rittig; Philippe Schmitt-Kopplin; Andreas Fritsche; Hans-Ulrich Häring; Erwin D Schleicher; Guowang Xu; Rainer Lehmann
Journal:  Metabolomics       Date:  2010-03-07       Impact factor: 4.290

10.  A metabonomic comparison of urinary changes in Zucker and GK rats.

Authors:  Liang-Cai Zhao; Xiao-Dong Zhang; Shi-Xian Liao; Hong-Chang Gao; He-Yao Wang; Dong-Hai Lin
Journal:  J Biomed Biotechnol       Date:  2010-10-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.