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Start Over Author "Adam, Jonathan" Publisher american diabetes association
7 results on '"Adam, Jonathan"'

1. Machine learning approaches revealed metabolic signatures of incident chronic kidney disease in persons with pre-and type 2 diabetes

Author

Admin, Ada, primary, Huang, Jialing, primary, Huth, Cornelia, primary, Covic, Marcela, primary, Troll, Martina, primary, Adam, Jonathan, primary, Zukunft, Sven, primary, Prehn, Cornelia, primary, Wang, Li, primary, Nano, Jana, primary, Scheerer, Markus F., primary, Neschen, Susanne, primary, Kastenmüller, Gabi, primary, Suhre, Karsten, primary, Laxy, Michael, primary, Schliess, Freimut, primary, Gieger, Christian, primary, Adamski, Jerzy, primary, Angelis, Martin Hrabe de, primary, Peters, Annette, primary, and Wang-Sattler, Rui, primary

Published
2020
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2. Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes

Author

Huang, Jialing, primary, Huth, Cornelia, additional, Covic, Marcela, additional, Troll, Martina, additional, Adam, Jonathan, additional, Zukunft, Sven, additional, Prehn, Cornelia, additional, Wang, Li, additional, Nano, Jana, additional, Scheerer, Markus F., additional, Neschen, Susanne, additional, Kastenmüller, Gabi, additional, Suhre, Karsten, additional, Laxy, Michael, additional, Schliess, Freimut, additional, Gieger, Christian, additional, Adamski, Jerzy, additional, Hrabe de Angelis, Martin, additional, Peters, Annette, additional, and Wang-Sattler, Rui, additional

Published
2020
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3. Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes

Author

Professur Public Health und Prävantion, Huang, Jialing;Huth, Cornelia;Covic, Marcela;Troll, Martina;Adam, Jonathan;Zukunft, Sven;Prehn, Cornelia;Wang, Li;Nano, Jana;Scheerer, Markus F.;Neschen, Susanne;Kastenmüller, Gabi;Suhre, Karsten;Laxy, Michael;Schliess, Freimut;Gieger, Christian;Adamski, Jerzy;Hrabe de Angelis, Martin;Peters, Annette;Wang-Sattler, Rui, Professur Public Health und Prävantion, and Huang, Jialing;Huth, Cornelia;Covic, Marcela;Troll, Martina;Adam, Jonathan;Zukunft, Sven;Prehn, Cornelia;Wang, Li;Nano, Jana;Scheerer, Markus F.;Neschen, Susanne;Kastenmüller, Gabi;Suhre, Karsten;Laxy, Michael;Schliess, Freimut;Gieger, Christian;Adamski, Jerzy;Hrabe de Angelis, Martin;Peters, Annette;Wang-Sattler, Rui

Published
2019

4. 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

Author

Adam, Jonathan, primary, Brandmaier, Stefan, additional, Troll, Martina, additional, Rotter, Markus, additional, Mohney, Robert P., additional, Heier, Margit, additional, Adamski, Jerzy, additional, Li, Yixue, additional, Neschen, Susanne, additional, Kastenmüller, Gabi, additional, Suhre, Karsten, additional, Ankerst, Donna, additional, Meitinger, Thomas, additional, and Wang-Sattler, Rui, additional

Published
2017
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5. Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues

Author

Adam, Jonathan, primary, Brandmaier, Stefan, additional, Leonhardt, Jörn, additional, Scheerer, Markus F., additional, Mohney, Robert P., additional, Xu, Tao, additional, Bi, Jie, additional, Rotter, Markus, additional, Troll, Martina, additional, Chi, Shen, additional, Heier, Margit, additional, Herder, Christian, additional, Rathmann, Wolfgang, additional, Giani, Guido, additional, Adamski, Jerzy, additional, Illig, Thomas, additional, Strauch, Konstantin, additional, Li, Yixue, additional, Gieger, Christian, additional, Peters, Annette, additional, Suhre, Karsten, additional, Ankerst, Donna, additional, Meitinger, Thomas, additional, Hrabĕ de Angelis, Martin, additional, Roden, Michael, additional, Neschen, Susanne, additional, Kastenmüller, Gabi, additional, and Wang-Sattler, Rui, additional

Published
2016
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6. Effects of Metformin on Metabolite Profiles and LDL Cholesterol in Patients With Type 2 Diabetes

Author

Xu, Tao, primary, Brandmaier, Stefan, additional, Messias, Ana C., additional, Herder, Christian, additional, Draisma, Harmen H.M., additional, Demirkan, Ayse, additional, Yu, Zhonghao, additional, Ried, Janina S., additional, Haller, Toomas, additional, Heier, Margit, additional, Campillos, Monica, additional, Fobo, Gisela, additional, Stark, Renee, additional, Holzapfel, Christina, additional, Adam, Jonathan, additional, Chi, Shen, additional, Rotter, Markus, additional, Panni, Tommaso, additional, Quante, Anne S., additional, He, Ying, additional, Prehn, Cornelia, additional, Roemisch-Margl, Werner, additional, Kastenmüller, Gabi, additional, Willemsen, Gonneke, additional, Pool, René, additional, Kasa, Katarina, additional, van Dijk, Ko Willems, additional, Hankemeier, Thomas, additional, Meisinger, Christa, additional, Thorand, Barbara, additional, Ruepp, Andreas, additional, Hrabé de Angelis, Martin, additional, Li, Yixue, additional, Wichmann, H.-Erich, additional, Stratmann, Bernd, additional, Strauch, Konstantin, additional, Metspalu, Andres, additional, Gieger, Christian, additional, Suhre, Karsten, additional, Adamski, Jerzy, additional, Illig, Thomas, additional, Rathmann, Wolfgang, additional, Roden, Michael, additional, Peters, Annette, additional, van Duijn, Cornelia M., additional, Boomsma, Dorret I., additional, Meitinger, Thomas, additional, and Wang-Sattler, Rui, additional

Published
2015
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7. Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes.

Author

Tao Xu, Brandmaier, Stefan, Messias, Ana C., Herder, Christian, Draisma, Harmen H. M., Demirkan, Ayse, Zhonghao Yu, Ried, Janina S., Haller, Toomas, Heier, Margit, Campillos, Monica, Fobo, Gisela, Stark, Renee, Holzapfel, Christina, Adam, Jonathan, Shen Chi, Rotter, Markus, Panni, Tommaso, Quante, Anne S., and Ying He

Abstract

Objective: Metformin is used as a first-line oral treatment for type 2 diabetes (T2D). However, the underlying mechanism is not fully understood. Here, we aimed to comprehensively investigate the pleiotropic effects of metformin.Research Design and Methods: We analyzed both metabolomic and genomic data of the population-based KORA cohort. To evaluate the effect of metformin treatment on metabolite concentrations, we quantified 131 metabolites in fasting serum samples and used multivariable linear regression models in three independent cross-sectional studies (n = 151 patients with T2D treated with metformin [mt-T2D]). Additionally, we used linear mixed-effect models to study the longitudinal KORA samples (n = 912) and performed mediation analyses to investigate the effects of metformin intake on blood lipid profiles. We combined genotyping data with the identified metformin-associated metabolites in KORA individuals (n = 1,809) and explored the underlying pathways.Results: We found significantly lower (P < 5.0E-06) concentrations of three metabolites (acyl-alkyl phosphatidylcholines [PCs]) when comparing mt-T2D with four control groups who were not using glucose-lowering oral medication. These findings were controlled for conventional risk factors of T2D and replicated in two independent studies. Furthermore, we observed that the levels of these metabolites decreased significantly in patients after they started metformin treatment during 7 years' follow-up. The reduction of these metabolites was also associated with a lowered blood level of LDL cholesterol (LDL-C). Variations of these three metabolites were significantly associated with 17 genes (including FADS1 and FADS2) and controlled by AMPK, a metformin target.Conclusions: Our results indicate that metformin intake activates AMPK and consequently suppresses FADS, which leads to reduced levels of the three acyl-alkyl PCs and LDL-C. Our findings suggest potential beneficial effects of metformin in the prevention of cardiovascular disease. [ABSTRACT FROM AUTHOR]

Published
2015
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