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41.
Masuch, A.* et al.: Metabolomic profiling implicates adiponectin as mediator of a favorable lipoprotein profile associated with NT-proBNP. Cardiovasc. Diabetol. 17:120 (2018)
42.
McCreight, L.* et al.: Pharmacokinetics of metformin in patients with gastrointestinal intolerance. Diabetes Obes. Metab. 20, 1593-1601 (2018)
43.
McCreight, L.J.* et al.: Pharmacokinetic study of metformin: Insights into the mechanism of metformin intolerance. Diabetic Med. 35, 22-22 (2018)
44.
Müller-Nurasyid, M. et al.: Pharmacogenetic effects in population-based metabolic profiles. Genet. Epidemiol. 42, 719-720 (2018)
45.
Mycielska, M.E.* et al.: Extracellular citrate affects critical elements of cancer cell metabolism and supports cancer development in vivo. Cancer Res. 78, 2513-2523 (2018)
46.
Pearson, E.* & Adamski, J.: The search for predictive metabolic biomarkers for incident T2DM. Nat. Rev. Endocrinol. 14, 444-446 (2018)
47.
Pietzner, M.* et al.: Hepatic steatosis is associates with adverse molecular signatures in subjects without diabetes. J. Clin. Endocrinol. Metab. 103, 3856-3868 (2018)
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Rizner, T.L.* & Adamski, J.: It is high time to discontinue use of misidentified and contaminated cells: Guidelines for description and authentication of cell lines. J. Steroid Biochem. Mol. Biol. 182, 1-3 (2018)
49.
Rotter, M. et al.: Night shift work affects urine metabolite profiles of nurses with early chronotype. Metabolites 8:45 (2018)
50.
Saulnier-Blache, J.S.* et al.: Ldlr-/- and ApoE-/- mice better mimic the human metabolite signature of increased carotid intima media thickness compared to other animal models of cardiovascular disease. Atherosclerosis 276, 140-147 (2018)
51.
Sedlmeier, A.* et al.: The human metabolic profile reflects macro- and micronutrient intake distinctly according to fasting time. Sci. Rep. 8:12262 (2018)
52.
Tomas, L.* et al.: Altered metabolism distinguishes high-risk from stable carotid atherosclerotic plaques. Eur. Heart J. 39, 2301-2310 (2018)
53.
Tsepilov, Y.A.* et al.: A network-based conditional genetic association analysis of the human metabolome. GigaScience 7, accepted (2018)
54.
Volpato, V.* et al.: Reproducibility of molecular phenotypes after long-term differentiation to human iPSC-derived neurons: A multi-site omics study. Stem Cell Rep. 11, 897-911 (2018)
55.
Xie, K.* et al.: Epigenetic alterations in longevity regulators, reduced life span, and exacerbated aging-related pathology in old father offspring mice. Proc. Natl. Acad. Sci. U.S.A. 115, E2348-E2357 (2018)
56.
Zaghlool, S.B.* et al.: Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation. Hum. Mol. Genet. 27, 1106-1121 (2018)
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Zemanová, L.* et al.: Initial characterization of human DHRS1 (SDR19C1), a member of the short chain dehydrogenase/reductase superfamily. J. Steroid Biochem. Mol. Biol. 185, 80-89 (2018)
58.
Zukunft, S. et al.: High-throughput extraction and quantification method for targeted metabolomics in murine tissues. Metabolomics 14:18 (2018)
59.
Adam, J. et al.: Response to comment on Adam et al. Metformin effect on nontargeted metabolite profiles in patients with type 2 diabetes and in multiple murine tissues. Diabetes 2016;65:3776-3785. Diabetes 66, e3-e4 (2017)
60.
Blutke, A.* et al.: The Munich MIDY Pig Biobank - A unique resource for studying organ crosstalk in diabetes. Mol. Metab. 6, 931-940 (2017)