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1.
Quell, J. et al.: Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics. Metabolites 9:109 (2019)
2.
Haid, M. et al.: Long-Term Stability of Human Plasma Metabolites during Storage at-80 degrees C. J. Proteome Res. 17, 203-211 (2018)
3.
Zaghlool, S.B.* et al.: Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation. Hum. Mol. Genet. 27, 1106-1121 (2018)
4.
Koch, M.* et al.: Serum metabolomic profiling highlights pathways associated with liver fat content in a general population sample. Eur. J. Clin. Nutr. 71, 995–1001 (2017)
5.
Quell, J. et al.: Automated pathway and reaction prediction facilitates in silico identification of unknown metabolites in human cohort studies. J. Chromatogr. B 1071, 58-67 (2017)
6.
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)
7.
Altmaier, E. et al.: The pharmacogenetic footprint of ACE inhibition: A population-based metabolomics study. PLoS ONE 11:e0153163 (2016)
8.
Knacke, H.* et al.: Metabolic fingerprints of circulating IGF-I and the IGF-I/IGFBP-3 ration: A multi-fluid metabolomics study. J. Clin. Endocrinol. Metab. 101, 4730-4742:jc20162588 (2016)
9.
Much, D. et al.: Lactation is associated with altered metabolomic signatures in women with gestational diabetes. Diabetologia 59, 2193-2202 (2016)
10.
Much, D. et al.: Lactation is associated with altered metabolomic signatures in women with gestational diabetes. Diabetologia 59, S187-S187 (2016)
11.
Sekula, P.* et al.: A metabolome-wide association study of kidney function and disease in the general population. J. Am. Soc. Nephrol. 27, 1175-1188 (2016)
12.
Anton, G. et al.: Pre-analytical sample quality: Metabolite ratios as an intrinsic marker for prolonged room temperature exposure of serum samples. PLoS ONE 10:e0121495 (2015)
13.
Diakopoulos, K.N.* et al.: Impaired autophagy induces chronic atrophic pancreatitis in mice via sex- and nutrition-dependent processes. Gastroenterology 148, 626-638 (2015)
14.
Draisma, H.H.* et al.: Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels. Nat. Commun. 6:7208 (2015)
15.
Raffler, J. et al.: Genome-wide association study with targeted and non-targeted NMR metabolomics identifies 15 novel loci of urinary human metabolic individuality. PLoS Genet. 11:e1005487 (2015)
16.
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)
17.
Altmaier, E. et al.: Metabolomics approach reveals effects of antihypertensives and lipid-lowering drugs on the human metabolism. Eur. J. Epidemiol. 29, 325-336 (2014)
18.
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)
19.
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)
20.
Petersen, A.-K. et al.: Epigenetics meets metabolomics: An epigenome-wide association study with blood serum metabolic traits. Hum. Mol. Genet. 23, 534-545 (2014)