Literature DB >> 24854977

Management of unmet needs in type 2 diabetes mellitus: the role of incretin agents.

Ronald M Goldenberg1.   

Abstract

The leading cause of morbidity and mortality in type 2 diabetes mellitus is cardiovascular disease. There is a need for type 2 diabetes therapies that act in concert with available agents to provide adequate glycemic control without causing hypoglycemia and weight gain, which are associated with increases in cardiovascular risk. Incretin-based agents-dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists-are the newest class of antihyperglycemic therapies. Liraglutide and exenatide, glucagon-like peptide-1 receptor agonists recently approved in Canada, have been shown to effectively lower blood glucose levels while also having beneficial effects on body weight and systolic blood pressure. The objective of this article is to review and discuss incretin-based agents, with a focus on their effects on blood glucose control, body weight and cardiovascular risk factors in patients with type 2 diabetes. Relevant data were obtained by literature search using the EMBASE, MEDLINE and PubMed databases. 2011.

Entities:  

Keywords:  agonistes des récepteurs du peptide 1 apparenté au glucagon; cardiovascular disease; contrôle de la glycémie; diabète de type 2; dipeptidyl peptidase-4 inhibitors; glucagon-like peptide-1 receptor agonists; glycemic control; incretin; incrétines; inhibiteurs de la dipeptidyl peptidase-4; maladie cardiovasculaire; type 2 diabetes mellitus

Year:  2011        PMID: 24854977     DOI: 10.1016/S1499-2671(11)80008-0

Source DB:  PubMed          Journal:  Can J Diabetes        ISSN: 1499-2671            Impact factor:   4.190


  2 in total

1.  Predictors of Effectiveness of Glucagon-Like Peptide-1 Receptor Agonist Therapy in Patients with Type 2 Diabetes and Obesity.

Authors:  Alina Yu Babenko; Daria A Savitskaya; Yulia A Kononova; Aleksandra Yu Trofimova; Anna V Simanenkova; Elena Yu Vasilyeva; Evgeny V Shlyakhto
Journal:  J Diabetes Res       Date:  2019-03-03       Impact factor: 4.011

2.  A simple and robust model to predict the inhibitory activity of α-glucosidase inhibitors through combined QSAR modeling and molecular docking techniques.

Authors:  Elaheh Izadpanah; Siavash Riahi; Zeinab Abbasi-Radmoghaddam; Sajjad Gharaghani; Mohammad Mohammadi-Khanaposhtanai
Journal:  Mol Divers       Date:  2021-02-09       Impact factor: 3.364

  2 in total

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