Pre-diagnostic biomarkers of type 2 diabetes identified in the UAE's obese national population using targeted metabolomics.
Asma M. Fikri,Rosemary Smyth,Vijay Kumar,Zainab Al-Abadla,Salahedeen Abusnana,Michael R. Munday +5 more
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TLDR
Differences in metabolites in response to type 2 diabetes mellitus are identified in agreement with many published population studies, contributing to the global search for a bank of metabolite biomarkers that can predict the advent of T2DM and give insight to its pathogenic mechanisms.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.read more
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Metabolic Signatures of Insulin Resistance in 7,098 Young Adults
Peter Würtz,Ville-Petteri Mäkinen,Pasi Soininen,Pasi Soininen,Antti J. Kangas,Taru Tukiainen,Taru Tukiainen,Johannes Kettunen,Johannes Kettunen,Markku J. Savolainen,Tuija Tammelin,Jorma Viikari,Tapani Rönnemaa,Mika Kähönen,Terho Lehtimäki,Samuli Ripatti,Samuli Ripatti,Samuli Ripatti,Olli T. Raitakari,Marjo-Riitta Järvelin,Mika Ala-Korpela +20 more
TL;DR: In this article, the associations of metabolites with insulin resistance were studied in 7,098 young Finns (age 31 ± 3 years; 52% women) to elucidate underlying metabolic pathways, using regression models adjusted for age, waist, and standard lipids.
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Recent Developments in Biomarkers for Diagnosis and Screening of Type 2 Diabetes Mellitus
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TL;DR: The most common form of diabetes mellitus, type 2 diabetes (T2DM), represents approximately 90% of all cases worldwide, and its cause is multi-ifactorial as discussed by the authors .
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Prospective analysis of circulating metabolites and endometrial cancer risk.
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Balancing the Equation: A Natural History of Trimethylamine and Trimethylamine-N-oxide.
TL;DR: This work reports on analytical methods for measuring TMA and TMAO and attempts to critically synthesize and map the global functions of TMA-TMAO in a systems biology framework.
References
More filters
Journal ArticleDOI
Systematic review and meta-analysis
TL;DR: In this review the usual methods applied in systematic reviews and meta-analyses are outlined, and the most common procedures for combining studies with binary outcomes are described, illustrating how they can be done using Stata commands.
Journal ArticleDOI
HMDB 4.0: the human metabolome database for 2018.
David S. Wishart,Yannick Djoumbou Feunang,Ana Marcu,An Chi Guo,Kevin Y. H. Liang,Rosa Vázquez-Fresno,Tanvir Sajed,Daniel Johnson,Carin Li,Naama Karu,Zinat Sayeeda,Elvis J. Lo,Nazanin Assempour,Mark V. Berjanskii,Sandeep Singhal,David Arndt,Yongjie Liang,Hasan Badran,Jason R. Grant,Arnau Serra-Cayuela,Yifeng Liu,Rupa Mandal,Vanessa Neveu,Allison Pon,Craig Knox,Michael Wilson,Claudine Manach,Augustin Scalbert +27 more
TL;DR: This year's update to the HMDB, HMDB 4.0, represents the most significant upgrade to the database in its history and should greatly enhance its ease of use and its potential applications in nutrition, biochemistry, clinical chemistry, clinical genetics, medicine, and metabolomics science.
Journal ArticleDOI
Metabolite profiles and the risk of developing diabetes
Thomas J. Wang,Martin G. Larson,Martin G. Larson,Ramachandran S. Vasan,Ramachandran S. Vasan,Susan Cheng,Susan Cheng,Susan Cheng,Eugene P. Rhee,Eugene P. Rhee,Elizabeth L. McCabe,Elizabeth L. McCabe,Gregory D. Lewis,Gregory D. Lewis,Caroline S. Fox,Caroline S. Fox,Paul F. Jacques,Céline Fernandez,Christopher J. O'Donnell,Christopher J. O'Donnell,Christopher J. O'Donnell,Stephen A Carr,Vamsi K. Mootha,Vamsi K. Mootha,Jose C. Florez,Jose C. Florez,Amanda Souza,Olle Melander,Clary B. Clish,Robert E. Gerszten,Robert E. Gerszten +30 more
TL;DR: Findings underscore the potential key role of amino acid metabolism early in the pathogenesis of diabetes and suggest that amino acid profiles could aid in diabetes risk assessment.
Journal ArticleDOI
Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts.
Olaf Beckonert,Hector C. Keun,Timothy M. D. Ebbels,Jacob G. Bundy,Elaine Holmes,John C. Lindon,Jeremy K. Nicholson +6 more
TL;DR: The main NMR spectroscopic applications in modern metabolic research are summarized, and detailed protocols for biofluid and tissue sample collection and preparation are provided, including the extraction of polar and lipophilic metabolites from tissues.
Journal ArticleDOI
The Worldwide Obesity Epidemic
TL;DR: Relatively new data suggest that abdominal obesity in adults, with its associated enhanced morbidity, occurs particularly in those who had lower birth weights and early childhood stunting, and will now be needed to estimate the full impact of the worldwide obesity epidemic.
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