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1.
Matejka, K. et al.: Dynamic modelling of an ACADS genotype in fatty acid oxidation - Application of cellular models for the analysis of common genetic variants. PLoS ONE 14:e0216110 (2019)
2.
Mitry, P. et al.: Plasma concentrations of anserine, carnosine and pi-methylhistidine as biomarkers of habitual meat consumption. Eur. J. Clin. Nutr. 73, 692-702 (2019)
3.
Quell, J. et al.: Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics. Metabolites 9:109 (2019)
4.
Riedl, A. et al.: Modifying effect of metabotype on diet–diabetes associations. Eur. J. Nutr., accepted (2019)
5.
Kindt, A. et al.: The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice. Nat. Commun. 9:3760 (2018)
6.
Riedl, A. et al.: Identification of comprehensive metabotypes associated with cardiometabolic diseases in the population-based KORA study. Mol. Nutr. Food Res. 62:1800117 (2018)
7.
Rotter, M. et al.: Night shift work affects urine metabolite profiles of nurses with early chronotype. Metabolites 8:45 (2018)
8.
Riedl, A. ; Gieger, C. ; Hauner, H* ; Daniel, H.* & Linseisen, J.: Metabotyping and its application in targeted nutrition: An overview. Br. J. Nutr. 117, 1631-1644 (2017)
9.
Kübeck, R.* et al.: Dietary fat and gut microbiota interactions determine diet-induced obesity in mice. Mol. Metab. 5, 1162-1174 (2016)
10.
Fiamoncini, J.* et al.: Medium-chain dicarboxylic acylcarnitines as markers of n-3 PUFA-induced peroxisomal oxidation of fatty acids. Mol. Nutr. Food Res. 59, 1573-1583 (2015)
11.
Daniel, H.* et al.: High-fat diet alters gut microbiota physiology in mice. ISME J. 8, 295–308 (2014)
12.
Ludwig, T.* et al.: Metabolic and immunomodulatory effects of n-3 fatty acids are different in mesenteric and epididymal adipose tissue of diet-induced obese mice. Am. J. Physiol. Endocrinol. Metab. 304, E1140-E1156 (2013)
13.
Krug, S.* et al.: The dynamic range of the human metabolome revealed by challenges. FASEB J. 26, 2607-2619 (2012)
14.
Petersen, A.-K. et al.: Genetic associations with lipoprotein subfractions provide information on their biological nature. Hum. Mol. Genet. 21, 1433-1443 (2012)
15.
Fuchs, H. et al.: The German Mouse Clinic: A platform for systemic phenotype analysis of mouse models. Curr. Pharm. Biotechnol. 10, 236-243 (2009)
16.
Kuhn, K.A.* et al.: Informatics and medicine--from molecules to populations. Methods Inf. Med. 47, 283-295 (2008)
17.
Frey, I.M.* et al.: Profiling at mRNA, protein, and metabolite levels reveals alterations in renal amino acid handling and glutathione metabolism in kidney tissue of Pept2–/– mice. Physiol. Genomics 28, 301-310 (2007)
18.
Lohner, K. * et al.: Flavonoids alter P-gp expression in intestinal epithelial cells in vitro and in vivo. Mol. Nutr. Food Res. 51, 293-300 (2007)
19.
Winkelmann, I.* ; Diehl, D.* ; Oesterle, D. ; Daniel, H.* & Wenzel, U.*: The suppression of aberrant crypt multiplicity in colonic tissue of 1,2-dimethylhydrazine-treated C57BL/6J mice by dietary flavone is associated with an increased expression of Krebs cycle enzymes. Carcinogenesis 28, 1446-1454 (2007)
20.
Rubio-Aliaga, I.* et al.: The proton/amino acid cotransporter PAT2 is expressed in neurons with a different subcellular localization than its paralog PAT1. J. Biol. Chem. 279, 2754-2760 (2004)