Untargeted mass spectrometric approach in metabolic healthy offspring of patients with type 2 diabetes reveals medium-chain acylcarnitine as potential biomarker for lipid induced glucose intolerance (LGIT). (19th October 2016)

• Record Type: Journal Article
• Authors: Knebel, Birgit; Mack, Susanne; Lehr, Stefan; Barsch, Aiko; Schiller, Martina; Haas, Jutta; Lange, Simone; Fuchser, Jens; Zurek, Gabriela; Müller-Wieland, Dirk; Kotzka, Jorg
• Is Part Of: Archives of physiology and biochemistry. Volume 122:Number 5(2016)
• Page Start: 266
• Page End: 280
• Publication Date: 2016-10-19
• Subjects: Healthy first degree T2D relatives -- metabolic challenging -- untargeted metabolome analyses; Physiology -- Periodicals; Biochemistry -- Periodicals; Biophysics -- Periodicals; Biochemistry; Physiology; 571
• DOI: 10.1080/13813455.2016.1197277
• Languages: English
• ISSNs: 1381-3455

Abstract

Abstract: Offspring of type 2 diabetes (T2D) patients have increased risk to develop diabetes, due to inherited genetic susceptibility that directly interferes with the individual adaption to environmental conditions. We characterise T2D offspring (OSP) to identify metabolic risk markers for early disease prediction. Plasma of metabolically healthy OSP individuals ( n = 43) was investigated after an oral lipid tolerance test (oLTT) by an untargeted mass spectrometric approach for holistic metabolome analyses. Two subgroups of OSP probands can be separated by oLTT, although not differing in general clinical parameters. Analyses of the plasma metabolome revealed mainly medium-chain acylcarnitines and very long-chain fatty acids with differential abundance in the subgroups. The study presented indicates that metabolically healthy OSP of T2D patients differ upon metabolic challenging in serum metabolite composition, especially medium-chain acylcarnitines. The difference suggest that postprandial lipid induced glucose intolerance (LGIT) may serve as a further valuable marker for early diabetes prediction.