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Do, K.T. ; Rasp, D.J.N.P. ; Kastenmüller, G. ; Suhre, K. & Krumsiek, J.: MoDentify: Phenotype-driven module identification in metabolomics networks at different resolutions. Bioinformatics 35, 532-534 (2019)
Laimighofer, M. et al.: Common patterns of gene regulation associated with Cesarean section and the development of islet autoimmunity - indications of immune cell activation. Sci. Rep. 9:6250 (2019)
Sachs, S. et al.: Intermuscular adipose tissue directly modulates skeletal muscle insulin sensitivity in humans. Am. J. Physiol. Endocrinol. Metab. 316, E866-E879 (2019)
Zacharias, H.U. et al.: A novel metabolic signature to predict the requirement of dialysis or renal transplantation in patients with chronic kidney disease. J. Proteome Res. 18, 1796–1805 (2019)
Benedetti, E. et al.: Erratum: Publisher Correction: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway (Nature communications (2017) 8 1 (1483)). Nat. Commun. 9:706 (2018)
Bonifacio, E.* et al.: Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children. PLoS Med. 15:e1002548 (2018)
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)
Frohnert, B.I.* et al.: Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young. Pediatr. Diabetes 19, 277-283 (2018)
Hege, M.A. et al.: Eating less or more - Mindset induced changes in neural correlates of pre-meal planning. Appetite 125, 492-501 (2018)
Herder, C.* et al.: A systemic inflammatory signature reflecting crosstalk between innate and adaptive immunity is associated with polyneuropathy: KORA F4/FF4 Study. Diabetes 67, 2434-2442 (2018)
Herder, C.* et al.: A systemic inflammatory signature reflecting crosstalk between innate and adaptive immunity is associated with polyneuropathy: KORA F4/FF4 Study. Diabetologia 61, S467-S467 (2018)
Hertel, J.* et al.: Dilution correction for dynamically influenced urinary analyte data. Anal. Chim. Acta 1032, 18-31 (2018)
Iqbal, K.* et al.: Comparison of metabolite networks from four German population-based studies. Int. J. Epidemiol. 47, 2070-2081 (2018)
Kindt, A. et al.: Allele-specific methylation of type 1 diabetes susceptibility genes. J. Autoimmun. 89, 63-74 (2018)
Kindt, A. et al.: The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice. Nat. Commun. 9:3760 (2018)
Lange, T.* et al.: Comprehensive metabolic profiling reveals a lipid-rich fingerprint of free thyroxine far beyond classic parameters. J. Clin. Endocrinol. Metab. 103, 2050-2060 (2018)
Pera, B.* et al.: Metabolomic profiling reveals cellular reprogramming of B-cell lymphoma by a lysine deacetylase inhibitor through the choline pathway. EBioMedicine 28, 80-89 (2018)
Pietzner, M.* et al.: Hepatic steatosis is associates with adverse molecular signatures in subjects without diabetes. J. Clin. Endocrinol. Metab. 103, 3856-3868 (2018)
Pitchika, A. et al.: Associations of maternal type 1 diabetes with childhood adiposity and metabolic health in the offspring: A prospective cohort study. Diabetologia 61, 2319–2332 (2018)
Tsepilov, Y.A.* et al.: A network-based conditional genetic association analysis of the human metabolome. GigaScience 7, accepted (2018)