25-30 August 2019
Henry Ford Building
Europe/Berlin timezone

Advanced Analysis of Chronic Kidney Disease by NMR Derived Metabolomic Fingerprints

29 Aug 2019, 11:30
25m
Lecture Hall B (Henry Ford Building)

Lecture Hall B

Henry Ford Building

Talk Metabolomics Metabolomics

Speaker

Prof. Wolfram Gronwald (Institute of Functional Genomics, University of Regensburg, Germany )

Description

Identification of chronic kidney disease patients at risk of progressing to end-stage renal disease (ESRD) is essential for treatment decision-making and clinical trial design. Here, we show that proton nuclear magnetic resonance (NMR) spectroscopy of blood plasma specimens together with techniques from machine learning improves the currently best performing kidney failure risk equation, the so-called Tangri score. Our NMR study cohort comprises 4640 participants from the German Chronic Kidney Disease (GCKD) study, of whom 185 (3.99%) progressed over a mean observation time of 3.70 ± 0.88 years to ESRD requiring either dialysis or transplantation. In this context, we also introduce mixed graphical models to reveal important associations between NMR derived metabolic features, demographic and drug features and variables measured by standard clinical chemistry. Results show important associations between chronic kidney disease and for example gout. In summary, we demonstrate that NMR substantially improves the analysis of chronic kidney disease.

Primary authors

Dr Helena Zacharias (Institute of Functional Genomics, University of Regensburg, Regensburg, Germany) Dr Michael Altenbuchinger (Institute of Functional Genomics, University of Regensburg, Germany) Dr Ulla T. Schultheiss (Institute of Genetic Epidemiology, Department of Biometry, Epidemiology, and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Germany) Mrs Claudia Samol (Institute of Functional Genomics, University of Regensburg, Germany) Dr Fruzsina Kotsis (Institute of Genetic Epidemiology, Department of Biometry, Epidemiology, and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany) Mrs Inga Poguntke (Institute of Genetic Epidemiology, Department of Biometry, Epidemiology, and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany) Dr Peggy Sekula (Institute of Genetic Epidemiology, Department of Biometry, Epidemiology, and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany) Mr Mustafa Büyüközkan (Institute of Computational Biology, Helmholtz Zentrum München, Germany) Prof. Jan Krumsiek (Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, United States) Prof. Anna Köttgen (Institute of Genetic Epidemiology, Department of Biometry, Epidemiology, and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany) Prof. Rainer Spang (Institute of Functional Genomics, University of Regensburg, Germany) Prof. Peter J. Oefner (Institute of Functional Genomics, University of Regensburg, Germany) Prof. Wolfram Gronwald (Institute of Functional Genomics, University of Regensburg, Germany )

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