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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.
Adam J, Brandmaier S, Troll M, Rotter M, Mohney RP, Heier M, Adamski J, Li Y, Neschen S, Kastenmüller G, Suhre K, Ankerst D, Meitinger T, Wang-Sattler R. Adam J, et al. Among authors: troll m. Diabetes. 2017 May;66(5):e3-e4. doi: 10.2337/dbi17-0010. Diabetes. 2017. PMID: 28507216 No abstract available.
Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis.
Dietrich S, Floegel A, Troll M, Kühn T, Rathmann W, Peters A, Sookthai D, von Bergen M, Kaaks R, Adamski J, Prehn C, Boeing H, Schulze MB, Illig T, Pischon T, Knüppel S, Wang-Sattler R, Drogan D. Dietrich S, et al. Among authors: troll m. Int J Epidemiol. 2016 Oct;45(5):1406-1420. doi: 10.1093/ije/dyw145. Epub 2016 Sep 1. Int J Epidemiol. 2016. PMID: 27591264
Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues.
Adam J, Brandmaier S, Leonhardt J, Scheerer MF, Mohney RP, Xu T, Bi J, Rotter M, Troll M, Chi S, Heier M, Herder C, Rathmann W, Giani G, Adamski J, Illig T, Strauch K, Li Y, Gieger C, Peters A, Suhre K, Ankerst D, Meitinger T, Hrabĕ de Angelis M, Roden M, Neschen S, Kastenmüller G, Wang-Sattler R. Adam J, et al. Among authors: troll m. Diabetes. 2016 Dec;65(12):3776-3785. doi: 10.2337/db16-0512. Epub 2016 Sep 12. Diabetes. 2016. PMID: 27621107
Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype.
Rotter M, Brandmaier S, Covic M, Burek K, Hertel J, Troll M, Bader E, Adam J, Prehn C, Rathkolb B, Hrabe de Angelis M, Grabe HJ, Daniel H, Kantermann T, Harth V, Illig T, Pallapies D, Behrens T, Brüning T, Adamski J, Lickert H, Rabstein S, Wang-Sattler R. Rotter M, et al. Among authors: troll m. Metabolites. 2018 Aug 21;8(3):45. doi: 10.3390/metabo8030045. Metabolites. 2018. PMID: 30134533 Free PMC article.
Investigation of Adiposity Measures and Operational Taxonomic unit (OTU) Data Transformation Procedures in Stool Samples from a German Cohort Study Using Machine Learning Algorithms.
Troll M, Brandmaier S, Reitmeier S, Adam J, Sharma S, Sommer A, Bind MA, Neuhaus K, Clavel T, Adamski J, Haller D, Peters A, Grallert H. Troll M, et al. Microorganisms. 2020 Apr 10;8(4):547. doi: 10.3390/microorganisms8040547. Microorganisms. 2020. PMID: 32290101 Free PMC article.
Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes.
Huang J, Huth C, Covic M, Troll M, Adam J, Zukunft S, Prehn C, Wang L, Nano J, Scheerer MF, Neschen S, Kastenmüller G, Suhre K, Laxy M, Schliess F, Gieger C, Adamski J, Hrabe de Angelis M, Peters A, Wang-Sattler R. Huang J, et al. Among authors: troll m. Diabetes. 2020 Dec;69(12):2756-2765. doi: 10.2337/db20-0586. Epub 2020 Oct 6. Diabetes. 2020. PMID: 33024004
A reference map of potential determinants for the human serum metabolome.
Bar N, Korem T, Weissbrod O, Zeevi D, Rothschild D, Leviatan S, Kosower N, Lotan-Pompan M, Weinberger A, Le Roy CI, Menni C, Visconti A, Falchi M, Spector TD; IMI DIRECT consortium; Adamski J, Franks PW, Pedersen O, Segal E. Bar N, et al. Nature. 2020 Dec;588(7836):135-140. doi: 10.1038/s41586-020-2896-2. Epub 2020 Nov 11. Nature. 2020. PMID: 33177712 Clinical Trial.
Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study.
Bizzotto R, Jennison C, Jones AG, Kurbasic A, Tura A, Kennedy G, Bell JD, Thomas EL, Frost G, Eriksen R, Koivula RW, Brage S, Kaye J, Hattersley AT, Heggie A, McEvoy D, 't Hart LM, Beulens JW, Elders P, Musholt PB, Ridderstråle M, Hansen TH, Allin KH, Hansen T, Vestergaard H, Lundgaard AT, Thomsen HS, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Forgie IM, Giordano GN, Pavo I, Ruetten H, Dermitzakis E, McCarthy MI, Pedersen O, Schwenk JM, Adamski J, Franks PW, Walker M, Pearson ER, Mari A; IMI DIRECT consortium. Bizzotto R, et al. Diabetes Care. 2021 Feb;44(2):511-518. doi: 10.2337/dc20-1567. Epub 2020 Dec 15. Diabetes Care. 2021. PMID: 33323478
Profiles of Glucose Metabolism in Different Prediabetes Phenotypes, Classified by Fasting Glycemia, 2-Hour OGTT, Glycated Hemoglobin, and 1-Hour OGTT: An IMI DIRECT Study.
Tura A, Grespan E, Göbl CS, Koivula RW, Franks PW, Pearson ER, Walker M, Forgie IM, Giordano GN, Pavo I, Ruetten H, Dermitzakis ET, McCarthy MI, Pedersen O, Schwenk JM, Adamski J, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Vangipurapu J, Cederberg H, Laakso M, Rutters F, Elders PJM, Koopman ADM, Beulens JW, Ridderstråle M, Hansen TH, Allin KH, Hansen T, Vestergaard H, Mari A; IMI DIRECT Consortium. Tura A, et al. Diabetes. 2021 Sep;70(9):2092-2106. doi: 10.2337/db21-0227. Epub 2021 Jul 7. Diabetes. 2021. PMID: 34233929
Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials.
Dawed AY, Mari A, Brown A, McDonald TJ, Li L, Wang S, Hong MG, Sharma S, Robertson NR, Mahajan A, Wang X, Walker M, Gough S, Hart LM', Zhou K, Forgie I, Ruetten H, Pavo I, Bhatnagar P, Jones AG, Pearson ER; DIRECT consortium. Dawed AY, et al. Lancet Diabetes Endocrinol. 2023 Jan;11(1):33-41. doi: 10.1016/S2213-8587(22)00340-0. Lancet Diabetes Endocrinol. 2023. PMID: 36528349 Free article.
39 results