1. Pre-diagnostic biomarkers of type 2 diabetes identified in the UAE’s obese national population using targeted metabolomics
- Author
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Michael R. Munday, Vijay Kumar, Zainab Al-Abadla, Salahedeen Abusnana, Asma M. Fikri, and Rosemary Smyth
- Subjects
0301 basic medicine ,Male ,Metabolite ,lcsh:Medicine ,Type 2 diabetes ,Biochemistry ,chemistry.chemical_compound ,0302 clinical medicine ,Endocrinology ,Tandem Mass Spectrometry ,lcsh:Science ,education.field_of_study ,Multidisciplinary ,Alanine ,3-Hydroxybutyric Acid ,Diabetes ,Endocrine system and metabolic diseases ,Middle Aged ,Metabolic syndrome ,Mechanisms of disease ,Cohort ,Female ,Pre-diabetes ,Adult ,medicine.medical_specialty ,Population ,United Arab Emirates ,030209 endocrinology & metabolism ,Predictive markers ,Article ,03 medical and health sciences ,Methylamines ,Young Adult ,Metabolomics ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,Obesity ,education ,lcsh:R ,Type 2 Diabetes Mellitus ,medicine.disease ,Uric Acid ,030104 developmental biology ,chemistry ,Diabetes Mellitus, Type 2 ,lcsh:Q ,Amino Acids, Branched-Chain ,Biomarkers ,Chromatography, Liquid - Abstract
Currently, type 2 diabetes mellitus (T2DM) and obesity are major global public health issues, and their prevalence in the United Arab Emirates (UAE) are among the highest in the world. In 2019, The UAE diabetes national prevalence was 15.4%. In recent years there has been a considerable investigation of predictive biomarkers associated with these conditions. This study analysed fasting (8 h) blood samples from an obese, normoglycemic cohort and an obese, T2DM cohort of UAE nationals, employing clinical chemistry analysis, 1D 1H NMR and mass spectroscopy (FIA-MS/MS and LC-MS/MS) techniques. The novel findings reported for the first time in a UAE population revealed significant differences in a number of metabolites in the T2DM cohort. Metabolic fingerprints identified by NMR included BCAAs, trimethylamine N-oxide, β-hydroxybutyrate, trimethyl uric acid, and alanine. A targeted MS approach showed significant differences in lysophosphatidylcholines, phosphatidylcholines, acylcarnitine, amino acids and sphingomyelins; Lyso.PC.a.C18.0, PC.ae.C34.2, C3.DC..C4.OH, glutamine and SM.C16.1, being the most significant metabolites. Pearson’s correlation studies showed associations between these metabolites and the clinical chemistry parameters across both cohorts. This report identified differences in metabolites in response to T2DM in agreement with many published population studies. This contributes to the global search for a bank of metabolite biomarkers that can predict the advent of T2DM and give insight to its pathogenic mechanisms.
- Published
- 2020