Differentiation of Diabetes by Pathophysiology, Natural History, and Prognosis | Zendy

Jay S. Skyler | Zendy; George L. Bakris | Zendy; Ezio Bonifacio | Zendy; Tamara Darsow | Zendy; Robert H. Eckel | Zendy; Leif Groop | Zendy; PerHenrik Groop | Zendy; Yehuda Handelsman | Zendy; Richard A. Insel | Zendy; Chantal Mathieu | Zendy; Allison T. McElvaine | Zendy; Jerry P. Palmer | Zendy; Alberto Pugliese | Zendy; Desmond Schatz | Zendy; Jay M. Sosenko | Zendy; John Wilding | Zendy; Robert E. Ratner | Zendy

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Differentiation of Diabetes by Pathophysiology, Natural History, and Prognosis

Author(s) -

Jay S. Skyler,

George L. Bakris,

Ezio Bonifacio,

Tamara Darsow,

Robert H. Eckel,

Leif Groop,

PerHenrik Groop,

Yehuda Handelsman,

Richard A. Insel,

Chantal Mathieu,

Allison T. McElvaine,

Jerry P. Palmer,

Alberto Pugliese,

Desmond Schatz,

Jay M. Sosenko,

John Wilding,

Robert E. Ratner

Publication year - 2016

Publication title -

diabetes

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.219

H-Index - 330

eISSN - 1939-327X

pISSN - 0012-1797

DOI - 10.2337/db16-0806

Subject(s) - natural history , pathophysiology , diabetes mellitus , medicine , intensive care medicine , bioinformatics , endocrinology , biology

The American Diabetes Association, JDRF, the European Association for the Study of Diabetes, and the American Association of Clinical Endocrinologists convened a research symposium, "The Differentiation of Diabetes by Pathophysiology, Natural History and Prognosis" on 10-12 October 2015. International experts in genetics, immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental determinants of type 1 and type 2 diabetes risk and progression, as well as complications. The participants debated how to determine appropriate therapeutic approaches based on disease pathophysiology and stage and defined remaining research gaps hindering a personalized medical approach for diabetes to drive the field to address these gaps. The authors recommend a structure for data stratification to define the phenotypes and genotypes of subtypes of diabetes that will facilitate individualized treatment.

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