Meeting Banner
Abstract #2042

Hyperpolarized Magnetic Resonance Reveals Cardiac and Hepatic Metabolic Dysfunction in the ZDF Model of Type 2 Diabetes

Jack J. Miller1,2,3, Kerstin N Timm1, Vicky Ball1, Cher-Rin Chong1, Justin Y C Lau1,3, Jürgen E Schneider4, Günaj Rakipovski5, Birgitte Andersen5, and Damian Tyler1,3

1Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom, 2Department of Physics, University of Oxford, Oxford, United Kingdom, 3Oxford Centre for Clinical Cardiac Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 4Cardio Metabolic Research, University of Leeds, Leeds, United Kingdom, 5Novo Nordisk, Måløv, Denmark

The Zucker Diabetic Fatty (ZDF) rat is a well-known hyperinsulinaemic and hyperlipidaemic model of severe uncompensated Type 2 diabetes (T2DM) that displays systolic cardiac dysfunction late in life at the 40 week timepoint. Hyperpolarized Magnetic Resonance (MR) is a new medical imaging technique that can provide a novel way to probe metabolism in vivo and has been widely used to demonstrate physiological and pathological changes in pyruvate metabolism in the rodent heart. This work presents a magnetic resonance characterisation of the ZDF rat with hyperpolarized MR that detects metabolic alterations prior to the development of cardiac dysfunction.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords