Literature DB >> 22718433

Metabolomics in diabetes research.

Nele Friedrich1.   

Abstract

Diabetes represents one of the most important global health problems because it is associated with a large economic burden on the health systems of many countries. Whereas the diagnosis and treatment of manifest diabetes have been well investigated, the identification of novel pathways or early biomarkers indicative of metabolic alterations or insulin resistance related to the development of diabetes is still in progress. Over half of the type 2 diabetes patients show manifestations of diabetes-related diseases, which highlight the need for early screening markers of diabetes. During the last decade, the rapidly growing research field of metabolomics has introduced new insights into the pathology of diabetes as well as methods to predict disease onset and has revealed new biomarkers. Recent epidemiological studies first used metabolism to predict incident diabetes and revealed branched-chain and aromatic amino acids including isoleucine, leucine, valine, tyrosine and phenylalanine as highly significant predictors of future diabetes. This review summarises the current findings of metabolic research regarding diabetes in animal models and human investigations.

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Year:  2012        PMID: 22718433     DOI: 10.1530/JOE-12-0120

Source DB:  PubMed          Journal:  J Endocrinol        ISSN: 0022-0795            Impact factor:   4.286


  49 in total

1.  Maternal Early Pregnancy Serum Metabolites and Risk of Gestational Diabetes Mellitus.

Authors:  Daniel A Enquobahrie; Marie Denis; Mahlet G Tadesse; Bizu Gelaye; Habtom W Ressom; Michelle A Williams
Journal:  J Clin Endocrinol Metab       Date:  2015-09-25       Impact factor: 5.958

2.  Novel insights into development of diabetic bladder disorder provided by metabolomic analysis of the rat nondiabetic and diabetic detrusor and urothelial layer.

Authors:  Yi Wang; Gary G Deng; Kelvin P Davies
Journal:  Am J Physiol Endocrinol Metab       Date:  2016-06-28       Impact factor: 4.310

3.  A novel fasting blood test for insulin resistance and prediabetes.

Authors:  Jeff Cobb; Walter Gall; Klaus-Peter Adam; Pamela Nakhle; Eric Button; James Hathorn; Kay Lawton; Michael Milburn; Regis Perichon; Matthew Mitchell; Andrea Natali; Ele Ferrannini
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

4.  Glycosphingolipids promote pro-atherogenic pathways in the pathogenesis of hyperglycemia-induced accelerated atherosclerosis.

Authors:  Vi T Dang; Lexy H Zhong; Aric Huang; Arlinda Deng; Geoff H Werstuck
Journal:  Metabolomics       Date:  2018-07-03       Impact factor: 4.290

Review 5.  Metabolomics in human type 2 diabetes research.

Authors:  Jingyi Lu; Guoxiang Xie; Weiping Jia; Wei Jia
Journal:  Front Med       Date:  2013-02-02       Impact factor: 4.592

6.  Insulin induces a shift in lipid and primary carbon metabolites in a model of fasting-induced insulin resistance.

Authors:  Keedrian I Olmstead; Michael R La Frano; Johannes Fahrmann; Dmitry Grapov; Jose A Viscarra; John W Newman; Oliver Fiehn; Daniel E Crocker; Fabian V Filipp; Rudy M Ortiz
Journal:  Metabolomics       Date:  2017-03-27       Impact factor: 4.290

7.  Systemic alterations in the metabolome of diabetic NOD mice delineate increased oxidative stress accompanied by reduced inflammation and hypertriglyceremia.

Authors:  Johannes Fahrmann; Dmitry Grapov; Jun Yang; Bruce Hammock; Oliver Fiehn; Graeme I Bell; Manami Hara
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-04-07       Impact factor: 4.310

8.  Biochemical characterization and 1H NMR based metabolomics revealed Melicope lunu-ankenda leaf extract a potent anti-diabetic agent in rats.

Authors:  Mizher Hezam Al-Zuaidy; Muhammad Waseem Mumtaz; Azizah Abdul Hamid; Amin Ismail; Suhaila Mohamed; Ahmad Faizal Abdul Razis
Journal:  BMC Complement Altern Med       Date:  2017-07-10       Impact factor: 3.659

Review 9.  Metabolic phenotyping in clinical and surgical environments.

Authors:  Jeremy K Nicholson; Elaine Holmes; James M Kinross; Ara W Darzi; Zoltan Takats; John C Lindon
Journal:  Nature       Date:  2012-11-15       Impact factor: 49.962

10.  Biomarker Discovery and Translation in Metabolomics.

Authors:  G A Nagana Gowda; D Raftery
Journal:  Curr Metabolomics       Date:  2013
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