Matthias Kretzler | Professor of Internal Medicine, Computational Medicine and Bioinformatics
University of Michigan

Matthias Kretzler, Professor of Internal Medicine, Computational Medicine and Bioinformatics, University of Michigan

Dr. Kretzler is the Warner-Lambert/Parke-Davis Professor of Internal Medicine/Nephrology and Computational Medicine and Bioinformatics at the University of Michigan. 
He trained in Germany, the UK and the US at the Universities of Heidelberg, Newcastle upon Tyne, Michigan and LMU Munich. He is the Director of the Applied Systems Biology Core in the O’Brien Renal Center at U. Michigan, the PI of the NCATS Nephrotic Syndrome Research Network (NEPTUNE) in the Rare Disease Clinical Research Network III and PI of the Data Coordinating Center of the NIDDK CureGN glomerular disease network. He initiated 1998 the European renal cDNA bank, the largest cohort of renal tissues for molecular analysis (>2500 biopsies).  Dr. Kretzler also facilitates collaboration between numerous leading consortia in nephrology, using datasets and samples from the AMP LN, CRIC, FIND, GoKind, CKDgen and SLEGENE consortia in the US. 

On an international scale, Dr. Kretzler integrated global, renal research efforts in the above US networks with efforts in the EU, Asia, Australia and Africa.  He is the Systems-Biology Core lead for the EU-based Eurenomics Rare Renal Disease Network and the IMI II BEAt-DKD network.   Dr. Kretzler is also an affiliated professor at the University of Nanjing and leads the Renal Core in the Joint Institute between 1.PKU Beijing and the University of Michigan.  Additionally, he is establishing the functional genomics segment of the H3 Africa Kidney Disease Network, allowing the development of a systems-biology research effort in a kidney disease cohort of 8400 patients in sub-Saharan Africa. 

With twenty years of experience combining bioinformatics, molecular and clinical approaches in more than 250 collaborative studies on molecular mechanism of glomerular disease, Dr. Kretzler maintains a strong track record in the interdisciplinary data integration of large-scale data sets.  He and his research team focus on analyzing the molecular mechanisms of renal failure with a special focus on merging responses across species, tissues and diseases. Using systems-biology approaches Dr. Kretzler’s team defines moelcular networks in human glomerular diseases and combines them with complex clinical data sets and other large-scale data sets for mechanistic patient stratification and molecular target identification. 

A specific focus of Dr. Kretzler’s research efforts is to establish research ecosystems around disease cohort studies, bringing together teams from diverse academic medical centers, patient support organizations, private entities and clinical research resources dedicated to advancing the understanding and treatment of glomerular disease.   During the last two decades he was able to successfully establish unique cohort studies on 4 continents, but equally important build trusting relationships between diverse research communities, cultures and disciplines in a wide spectrum of public private partnerships. 
Most recently his team lead by Dr. Ascani established the first pre-competitive target identification consortium for kidney disease, RPC2, deploying innovative systems biology data mining and data sharing strategies for glomerular diseases. 
This translational research pipelines has delivered targets for successful Phase II clinical studies in Diabetic kidney disease and FSGS, as well as novel disease predictors in CKD to guide patient care and clinical trial development.


World Orphan Drug Congress USA 2018 - Seminars @ 16:40

Precision medicine based treatment strategies in rare disease in public private partnerships via platform clinical trial approaches

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