Literature DB >> 24423354

1,5-Anhydroglucitol in saliva is a noninvasive marker of short-term glycemic control.

Dennis O Mook-Kanamori1, Mohammed M El-Din Selim, Ahmed H Takiddin, Hala Al-Homsi, Khoulood A S Al-Mahmoud, Amina Al-Obaidli, Mahmoud A Zirie, Jillian Rowe, Noha A Yousri, Edward D Karoly, Thomas Kocher, Wafaa Sekkal Gherbi, Omar M Chidiac, Marjonneke J Mook-Kanamori, Sara Abdul Kader, Wadha A Al Muftah, Cindy McKeon, Karsten Suhre.   

Abstract

CONTEXT: In most ethnicities at least a quarter of all cases with diabetes is assumed to be undiagnosed. Screening for diabetes using saliva has been suggested as an effective approach to identify affected individuals.
OBJECTIVE: The objective of the study was to identify a noninvasive metabolic marker of type 2 diabetes in saliva. DESIGN AND
SETTING: In a case-control study of type 2 diabetes, we used a clinical metabolomics discovery study to screen for diabetes-relevant metabolic readouts in saliva, using blood and urine as a reference. With a combination of three metabolomics platforms based on nontargeted mass spectrometry, we examined 2178 metabolites in saliva, blood plasma, and urine samples from 188 subjects with type 2 diabetes and 181 controls of Arab and Asian ethnicities.
RESULTS: We found a strong association of type 2 diabetes with 1,5-anhydroglucitol (1,5-AG) in saliva (P = 3.6 × 10(-13)). Levels of 1,5-AG in saliva highly correlated with 1,5-AG levels in blood and inversely correlated with blood glucose and glycosylated hemoglobin levels. These findings were robust across three different non-Caucasian ethnicities (Arabs, South Asians, and Filipinos), irrespective of body mass index, age, and gender.
CONCLUSIONS: Clinical studies have already established 1,5-AG in blood as a reliable marker of short-term glycemic control. Our study suggests that 1,5-AG in saliva can be used in national screening programs for undiagnosed diabetes, which are of particular interest for Middle Eastern countries with young populations and exceptionally high diabetes rates.

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Year:  2014        PMID: 24423354     DOI: 10.1210/jc.2013-3596

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  36 in total

1.  Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts.

Authors:  Stephanie Gängler; Melanie Waldenberger; Anna Artati; Jerzy Adamski; Jurjen N van Bolhuis; Elin Pettersen Sørgjerd; Jana van Vliet-Ostaptchouk; Konstantinos C Makris
Journal:  Metabolomics       Date:  2019-04-08       Impact factor: 4.290

2.  Experimental Periodontitis Results in Prediabetes and Metabolic Alterations in Brain, Liver and Heart: Global Untargeted Metabolomic Analyses.

Authors:  Vladimir Ilievski; Jason M Kinchen; Ramya Prabhu; Fadi Rim; Lara Leoni; Terry G Unterman; Keiko Watanabe
Journal:  J Oral Biol (Northborough)       Date:  2016-04-23

3.  Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.

Authors:  Chandresh Nanji Ladva; Rachel Golan; Roby Greenwald; Tianwei Yu; Stefanie Ebelt Sarnat; W Dana Flanders; Karan Uppal; Douglas I Walker; ViLinh Tran; Donghai Liang; Dean P Jones; Jeremy A Sarnat
Journal:  J Breath Res       Date:  2017-12-06       Impact factor: 3.262

4.  Clinical and metabolomics analysis of hepatocellular carcinoma patients with diabetes mellitus.

Authors:  Hongping Xia; Jianxiang Chen; Karthik Sekar; Ming Shi; Tian Xie; Kam M Hui
Journal:  Metabolomics       Date:  2019-11-26       Impact factor: 4.290

5.  Plasma metabolomic profiles in association with type 2 diabetes risk and prevalence in Chinese adults.

Authors:  Danxia Yu; Steven C Moore; Charles E Matthews; Yong-Bing Xiang; Xianglan Zhang; Yu-Tang Gao; Wei Zheng; Xiao-Ou Shu
Journal:  Metabolomics       Date:  2015-11-07       Impact factor: 4.290

Review 6.  Detection of inflammatory biomarkers in saliva and urine: Potential in diagnosis, prevention, and treatment for chronic diseases.

Authors:  Sahdeo Prasad; Amit K Tyagi; Bharat B Aggarwal
Journal:  Exp Biol Med (Maywood)       Date:  2016-03-24

Review 7.  Metabolomics in childhood diabetes.

Authors:  Brigitte I Frohnert; Marian J Rewers
Journal:  Pediatr Diabetes       Date:  2015-09-30       Impact factor: 4.866

8.  Plasma amino acid and metabolite signatures tracking diabetes progression in the UCD-T2DM rat model.

Authors:  Brian D Piccolo; James L Graham; Kimber L Stanhope; Oliver Fiehn; Peter J Havel; Sean H Adams
Journal:  Am J Physiol Endocrinol Metab       Date:  2016-04-19       Impact factor: 4.310

9.  Defining the genetic control of human blood plasma N-glycome using genome-wide association study.

Authors:  Sodbo Zh Sharapov; Yakov A Tsepilov; Lucija Klaric; Massimo Mangino; Gaurav Thareja; Alexandra S Shadrina; Mirna Simurina; Concetta Dagostino; Julia Dmitrieva; Marija Vilaj; Frano Vuckovic; Tamara Pavic; Jerko Stambuk; Irena Trbojevic-Akmacic; Jasminka Kristic; Jelena Simunovic; Ana Momcilovic; Harry Campbell; Margaret Doherty; Malcolm G Dunlop; Susan M Farrington; Maja Pucic-Bakovic; Christian Gieger; Massimo Allegri; Edouard Louis; Michel Georges; Karsten Suhre; Tim Spector; Frances M K Williams; Gordan Lauc; Yurii S Aulchenko
Journal:  Hum Mol Genet       Date:  2019-06-15       Impact factor: 6.150

10.  Plasma Proteomics of Renal Function: A Trans-ethnic Meta-analysis and Mendelian Randomization Study.

Authors:  Pamela Matías-García; Rory Wilson; Qi Guo; Shaza Zaghlool; James Eales; Xiaoguang Xu; Fadi Charchar; John Dormer; Haifa Maalmi; Pascal Schlosser; Mohamed Elhadad; Jana Nano; Sapna Sharma; Annette Peters; Alessia Fornoni; Dennis Mook-Kanamori; Juliane Winkelmann; John Danesh; Emanuele Di Angelantonio; Willem Ouwehand; Nicholas Watkins; David Roberts; Agnese Petrera; Johannes Graumann; Wolfgang Koenig; Kristian Hveem; Christian Jonasson; Anna Köttgen; Adam Butterworth; Marco Prunotto; Stefanie Hauck; Christian Herder; Karsten Suhre; Christian Gieger; Maciej Tomaszewski; Alexander Teumer; Melanie Waldenberger
Journal:  J Am Soc Nephrol       Date:  2021-06-16       Impact factor: 14.978

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