Research

U-M Division of Metabolism, Endocrinology & Diabetes Researchers

The innovative research conducted by our physicians and faculty has paved the way for more effective methods of prevention, diagnosis, and treatment of endocrine disorders. Visit the below sections to learn more:

The legacy of Dr. Jerome Conn (former Division Chief of Metabolism, Endocrinology & Diabetes) includes his discovery of the syndrome that bears his name - listen to him describe it in his own words.

Research Highlights

Thyroid Hormone Treatment Intensity Linked to Increased Risk of Cardiovascular Mortality

Maria Papaleontiou, MD and team investigate the association between the intensity of thyroid hormone treatment and cardiovascular mortality.

ADA Prioritizes Heart Failure in Patients with Diabetes

A new ADA consensus report, chaired by Rodica Pop-Busui, MD, PhD, provides guidance on the best approaches for screening and diagnosing heart failure in individuals with diabetes or prediabetes.

Research Goals

  • Facilitate and focus basic molecular and cellular research in all areas of metabolic and endocrine disorders.
  • Promote the validation and application of relevant new basic knowledge in the clinical arena through rational, innovative and streamlined clinical, epidemiological and outcomes research.
  • Evaluate, refine, and disseminate new clinical knowledge regarding diabetes and related disorders into community health practices, especially in those communities at increased risk.
  • Recruit, train, motivate, and retain an effective pool of basic and clinical investigators and health care professional personnel in all areas of endocrinology and metabolism.

Research Mission

Committed to an internationally recognized mission of basic science research, the Division of Metabolism, Endocrinology & Diabetes conducts cutting-edge investigations in the areas of diabetes, obesity, thyroid, adrenal, pituitary, and neuroendocrine diseases. Studies are conducted at the molecular, cellular, and physiological levels, using a wide range of model systems.