PMID- 33077739 OWN - NLM STAT- MEDLINE DCOM- 20210119 LR - 20210119 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 10 IP - 1 DP - 2020 Oct 19 TI - Pre-diagnostic biomarkers of type 2 diabetes identified in the UAE's obese national population using targeted metabolomics. PG - 17616 LID - 10.1038/s41598-020-73384-7 [doi] LID - 17616 AB - 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 (1)H 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, beta-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. FAU - Fikri, Asma M AU - Fikri AM AD - Ministry of Health and Prevention, Dubai, UAE. dr.asma.fikri@gmail.com. AD - Rahsid Centre for Diabetes and Research, Ajman, UAE. dr.asma.fikri@gmail.com. FAU - Smyth, Rosemary AU - Smyth R AD - Department of Pharmaceutical and Biological Chemistry, UCL School of Pharmacy, London, UK. FAU - Kumar, Vijay AU - Kumar V AD - Rahsid Centre for Diabetes and Research, Ajman, UAE. FAU - Al-Abadla, Zainab AU - Al-Abadla Z AD - Rahsid Centre for Diabetes and Research, Ajman, UAE. FAU - Abusnana, Salahedeen AU - Abusnana S AD - Rahsid Centre for Diabetes and Research, Ajman, UAE. FAU - Munday, Michael R AU - Munday MR AD - Department of Pharmaceutical and Biological Chemistry, UCL School of Pharmacy, London, UK. michael.munday@ucl.ac.uk. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20201019 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 RN - 0 (Amino Acids, Branched-Chain) RN - 0 (Biomarkers) RN - 0 (Methylamines) RN - 268B43MJ25 (Uric Acid) RN - FLD0K1SJ1A (trimethyloxamine) RN - OF5P57N2ZX (Alanine) RN - TZP1275679 (3-Hydroxybutyric Acid) SB - IM MH - 3-Hydroxybutyric Acid/blood MH - Adult MH - Alanine/blood MH - Amino Acids, Branched-Chain/blood MH - Biomarkers/*blood MH - Chromatography, Liquid MH - Diabetes Mellitus, Type 2/blood/*diagnosis/etiology MH - Female MH - Humans MH - Male MH - Metabolomics MH - Methylamines/blood MH - Middle Aged MH - Obesity/blood/*complications MH - Tandem Mass Spectrometry MH - United Arab Emirates MH - Uric Acid/blood MH - Young Adult PMC - PMC7572402 COIS- The authors declare no competing interests. EDAT- 2020/10/21 06:00 MHDA- 2021/01/20 06:00 PMCR- 2020/10/19 CRDT- 2020/10/20 06:18 PHST- 2020/02/11 00:00 [received] PHST- 2020/09/16 00:00 [accepted] PHST- 2020/10/20 06:18 [entrez] PHST- 2020/10/21 06:00 [pubmed] PHST- 2021/01/20 06:00 [medline] PHST- 2020/10/19 00:00 [pmc-release] AID - 10.1038/s41598-020-73384-7 [pii] AID - 73384 [pii] AID - 10.1038/s41598-020-73384-7 [doi] PST - epublish SO - Sci Rep. 2020 Oct 19;10(1):17616. doi: 10.1038/s41598-020-73384-7.