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Multi Omics Analysis of Diabetic Kidney Disease

Guy’s Campus, London

16 Aug NEV-main-LondonLandscape

Progressive kidney disease has been difficult to decipher and treat as the disease is prolonged and the many stages of disease are inadequately replicated in animal models. To address this growing epidemic of kidney disease, we used a multi-omic approach to address progressive kidney disease in patients with diabetes and without diabetes. A targeted metabolomics approach identified that TCA cycle metabolites and mitochondrial function are dramatically altered in patients with chronic kidney disease from both diabetes and non-diabetes. Evaluation of transcriptomic data revealed that key enzymes involved in energy sensing (AMPK-PGC1a) as well as TCA cycle and electron chain transport are reduced. Mass spec imaging data revealed alteration in lipid species related to mitochondrial dysfunction. The omics signature of kidney disease could be used to identify mechanisms of pathogenesis to develop precision medicine approaches for chronic diseases.

Professor Kumar Sharma is the Hillis Endowed Chair in Medicine, Director, Center for Renal Precision Medicine, Chief, Division of Nephrology, Vice Chair of Research, Department of Medicine, University of Texas Health San Antonio, USA

The seminar is hosted by Afshan Malik, Department of Diabetes, King's School of Life Course Sciences. Please contact for details or if you would like to arrange a meeting with the speaker during his visit to King's.

Location: Seminar Room, 2nd Floor, Department of Diabetes, Hodgkin Building

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