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.
Megan Haymart, MD and Maria Papaleontiou, MD find that almost one-third of older adults on a thyroid hormone were on medications known to interfere with thyroid hormone metabolism.
Kara Mizokami-Stout, MD, MSc and team find that adults with type 1 diabetes and symptomatic diabetic autonomic neuropathy had an increased risk for cardiovascular disease, gastroparesis, opioid use, and depression compared with those without neuropathy.
Salim Hayek, MD; Matthias Kretzler, MD; Rodica Pop-Busui, MD, PhD; and team investigate the role of inflammatory biomarkers in hospitalized COVID patients and uncover risk factors for worse health outcomes in those with diabetes.
- 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.
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.