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1.
Artati, A. ; Prehn, C. & Adamski, J.: LC-MS/MS-based metabolomics for cell cultures. In: Cell-Based Assays Using iPSCs for Drug Development and Testing. 2019. 119-130 (Methods Mol. Biol. ; 1994)
2.
Backman, M.* et al.: Multi-omics insights into functional alterations of the liver in insulin-deficient diabetes mellitus. Mol. Metab., accepted (2019)
3.
Bijkerk, R.* et al.: Neutral endopeptidase inhibitors blunt kidney fibrosis by reducing myofibroblast formation. Clin. Sci. 133, 239-252 (2019)
4.
Chak, C.M. et al.: Ageing investigation using two-time-point metabolomics data from KORA and CARLA studies. Metabolites 9:44 (2019)
5.
Gängler, S.* et al.: Exposure to disinfection byproducts and risk of type 2 diabetes: A nested case–control study in the HUNT and Lifelines cohorts. Metabolomics 15:60 (2019)
6.
Ghaffari, M.H.* et al.: Biogenic amines: Concentrations in serum and skeletal muscle from late pregnancy until early lactation in dairy cows with high versus normal body condition score. J. Dairy Sci., accepted (2019)
7.
Giménez-Dejoz, J.* et al.: Engineering aldo-keto reductase 1B10 to mimic the distinct 1B15 topology and specificity towards inhibitors and substrates, including retinoids and steroids. Chem. Biol. Interact. 307, 186-194 (2019)
8.
Liebsch, C.* et al.: The saliva metabolome in association to oral health status. J. Dent. Res., accepted (2019)
9.
Mitry, P. et al.: Associations between usual food intake and fecal sterols and bile acids: Results from the KORA FF4 study. Br. J. Nutr., accepted (2019)
10.
Quell, J. et al.: Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics. Metabolites 9:109 (2019)
11.
Rizner, T.L.* & Adamski, J.: Paramount importance of sample quality in pre-clinical and clinical research-Need for standard operating procedures (SOPs). J. Steroid Biochem. Mol. Biol. 186, 1-3 (2019)
12.
Vetrivel, S. et al.: Mutation in the mouse histone gene Hist2h3c1 leads to degeneration of the lens vesicle and severe microphthalmia. Exp. Eye Res., accepted (2019)
13.
Yang, Y.* et al.: Acylcarnitine profiles in serum and muscle of dairy cows receiving conjugated linoleic acids or a control fat supplement during early lactation. J. Dairy Sci. 102, 754-767 (2019)
14.
Borchard, S. et al.: The exceptional sensitivity of brain mitochondria to copper. Toxicol. Vitro 51, 11-22 (2018)
15.
Braun, F.* et al.: Structure-based design and profiling of novel 17 beta-HSD14 inhibitors. Eur. J. Med. Chem. 155, 61-76 (2018)
16.
di Giuseppe, R.* et al.: Metabolomics signature associated with circulating serum selenoprotein P levels. Endocrine, accepted (2018)
17.
Do, K.T. et al.: Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 14:128 (2018)
18.
Dyar, K.A. et al.: Atlas of circadian metabolism reveals system-wide coordination and communication between clocks. Cell 174, 1571-1585.e11 (2018)
19.
Floegel, A.* et al.: Serum metabolites and risk of myocardial infarction and ischemic stroke: A targeted metabolomic approach in two German prospective cohorts. Eur. J. Epidemiol. 33, 55–66 (2018)
20.
Gar, C. et al.: Serum and plasma amino acids as markers of prediabetes, insulin resistance, and incident diabetes. Crit. Rev. Clin. Lab. Sci. 55, 21-32 (2018)