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81.
Reinehr, T.* et al.: Changes in the serum metabolite profile in obese children with weight loss. Eur. J. Nutr. 54, 173-181 (2015)
82.
Tsepilov, Y.A. et al.: Non-additive effects of genes in human metabolomics. Genetics 200, 707-718 (2015)
83.
van den Berg, R.* et al.: A single night of sleep curtailment increases plasma acylcarnitines: Novel insights in the relationship between sleep and insulin resistance. Arch. Biochem. Biophys. 589, 145-151 (2015)
84.
Wittenbecher, C.* et al.: Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes. Am. J. Clin. Nutr. 101, 1241-1250 (2015)
85.
Xu, T. et al.: Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes. Diabetes Care 38, 1858-1867 (2015)
86.
Floegel, A.* et al.: Linking diet, physical activity, cardiorespiratory fitness and obesity to serum metabolite networks: Findings from a population-based study. Int. J. Obes. 38, 1388-1396 (2014)
87.
Jacobs, S.* et al.: Evaluation of various biomarkers as potential mediators of the association between coffee consumption and incident type 2 diabetes in the EPIC-Potsdam study. Am. J. Clin. Nutr. 100, 891-900 (2014)
88.
Jourdan, C. et al.: Associations between thyroid hormones and serum metabolite profiles in an euthyroid population. Catal. Lett. 10, 152-164 (2014)
89.
Kraus, P.* et al.: Pleiotropic functions for transcription factor Zscan10. PLoS ONE 9:e104568 (2014)
90.
Mathew, S.* et al.: Metabolomics of Ramadan fasting: An opportunity for the controlled study of physiological responses to food intake. J. Transl. Med. 12:161 (2014)
91.
Mook-Kanamori, D.O.* et al.: Increased amino acids levels and the risk of developing hypertriglyceridemia in a 7-year follow-up. J. Endocrinol. Invest. 37, 369-374 (2014)
92.
Shin, S.-Y.* et al.: Interrogating causal pathways linking genetic variants, small molecule metabolites and circulating lipids. Genome Med. 6:25 (2014)
93.
Wahl, S. et al.: Comparative analysis of plasma metabolomics response to metabolic challenge tests in healthy subjects and influence of the FTO obesity risk allele. Catal. Lett. 10, 386-401 (2014)
94.
Altmaier, E. et al.: Metabolomic profiles in individuals with negative affectivity and social inhibition: A population-based study of Type D personality. Psychoneuroendocrinology 38, 1299-1309 (2013)
95.
Asciutto, G.* et al.: Treatment with beta-blockers is associated with lower levels of Lp-PLA2 and suPAR in carotid plaques. Cardiovasc. Pathol. 22, 438-443 (2013)
96.
Floegel, A.* et al.: Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach. Diabetes 62, 639-648 (2013)
97.
Floegel, A.* et al.: Variation of serum metabolites related to habitual diet: A targeted metabolomic approach in EPIC-Potsdam. Eur. J. Clin. Nutr. 67, 1100-1108 (2013)
98.
Goek, O.-N.* et al.: Metabolites associate with kidney function decline and incident chronic kidney disease in the general population. Nephrol. Dial. Transplant. 28, 2131-2138 (2013)
99.
Jaremek, M. et al.: Alcohol-induced metabolomic differences in humans. Transl. Psychiatry 3:e276 (2013)
100.
Kugler, J.E.* et al.: High mobility group N proteins modulate the fidelity of the cellular transcriptional profile in a tissue- and variant-specific manner. J. Biol. Chem. 288, 16690-16703 (2013)