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Dataset Information

Predicting and understanding the response to short-term intensive insulin therapy in people with early type 2 diabetes.


ABSTRACT:

Objective

Short-term intensive insulin therapy (IIT) early in the course of type 2 diabetes acutely improves beta-cell function with long-lasting effects on glycemic control. However, conventional measures cannot determine which patients are better suited for IIT, and little is known about the molecular mechanisms determining response. Therefore, this study aimed to develop a model that could accurately predict the response to IIT and provide insight into molecular mechanisms driving such response in humans.

Methods

Twenty-four patients with early type 2 diabetes were assessed at baseline and four weeks after IIT, consisting of basal detemir and premeal insulin aspart. Twelve individuals had a beneficial beta-cell response to IIT (responders) and 12 did not (nonresponders).

SUBMITTER: Nunez Lopez YO 

PROVIDER: S-EPMC6358589 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature