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Siskos, A.P.* et al.: Interlaboratory reproducibility of a targeted metabolomics platform for analysis of human serum and plasma. Anal. Chem. 89, 656-665 (2017)
Standl, M. et al.: Association of atopic dermatitis with cardiovascular risk factors and diseases. J. Invest. Dermatol. 137, 1074-1081 (2017)
Standl, M. et al.: Association of atopic dermatitis with cardiovascular risk factors and diseases. Allergy 72, 53-53 (2017)
Stratmann, B.* et al.: Metabolomic signature of coronary artery disease in type 2 diabetes mellitus. Int. J. Endocrinol. 2017:7938216 (2017)
Suarez-Diez, M.* et al.: Plasma and serum metabolite association networks: Comparibility within and between studies using NMR and MS profiling. J. Proteome Res. 16, 2547-2559 (2017)
Tokarz, J. et al.: Endocrinology meets metabolomics: Achievements, pitfalls, and challenges. Trends Endocrinol. Metab. 28, 705-721 (2017)
Tsachaki, M.* et al.: Absence of 11-keto reduction of cortisone and 11-ketotestosteron in the model organism zebrafish. J. Endocrinol. 232, 323-335 (2017)
Ward-Caviness, C.K. et al.: Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers. Heart 103, 1278-1285 (2017)
't Hart, L.M.* et al.: A metabolite ratio associates with measures of insulin secretion and altered risk of type 2 diabetes; a DIRECT study. Diabetologia 59, S142-S143 (2016)
Adam, J. et al.: Metformin effect on non-targeted metabolite profiles in patients with type 2 diabetes and multiple murine tissues. Diabetes 65, 3776-3785 (2016)
Adamski, J.: Key elements of metabolomics in the study of biomarkers of diabetes. Diabetologia 59, 2497-2502 (2016)
Altmaier, E. et al.: The pharmacogenetic footprint of ACE inhibition: A population-based metabolomics study. PLoS ONE 11:e0153163 (2016)
Auer, M.K.* et al.: 12-months metabolic changes among gender dysphoric individuals under cross-sex hormone treatment: A targeted metabolomics study. Sci. Rep. 6:37005 (2016)
Bachlechner, U.* et al.: Associations of anthropometric markers with serum metabolites using a targeted metabolomics approach: Results of the EPIC-Potsdam study. Nutr. Diabetes 6:e215 (2016)
Bertoletti, N.* et al.: New insights into human 17β-hydroxysteroid dehydrogenase type 14: First crystal structures in complex with a steroidal ligand and with a potent non-steroidal inhibitor. J. Med. Chem. 59, 6961-6967 (2016)
Braun, F.* et al.: First structure-activity relationship of 17β-hydroxysteroid dehydrogenase type 14 nonsteroidal inhibitors and crystal structures in complex with the enzyme. J. Med. Chem. 59, 10719-10737 (2016)
Conlon, T.M. et al.: Metabolomics screening identifies reduced L-carnitine to be associated with progressive emphysema. Clin. Sci. 130, 273-287 (2016)
Cornelis, M.C.* et al.: Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior. Hum. Mol. Genet. 25, 5472-5482 (2016)
Dietrich, S.* et al.: Random survival forest in practice: A method for modelling complex metabolomics data in time to event analysis. Int. J. Epidemiol. 45, 1406-1420 (2016)
Frankó, A. et al.: Bezafibrate improves insulin sensitivity and metabolic flexibility in STZ-treated diabetic mice. Diabetes 65, 2540-2552 (2016)