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Markers of β-Cell Failure Predict Poor Glycemic Response to GLP-1 Receptor Agonist Therapy in Type 2 Diabetes

Overview
Journal Diabetes Care
Specialty Endocrinology
Date 2015 Aug 6
PMID 26242184
Citations 76
Authors
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Abstract

Objective: To assess whether clinical characteristics and simple biomarkers of β-cell failure are associated with individual variation in glycemic response to GLP-1 receptor agonist (GLP-1RA) therapy in patients with type 2 diabetes.

Research Design And Methods: We prospectively studied 620 participants with type 2 diabetes and HbA1c ≥58 mmol/mol (7.5%) commencing GLP-1RA therapy as part of their usual diabetes care and assessed response to therapy over 6 months. We assessed the association between baseline clinical measurements associated with β-cell failure and glycemic response (primary outcome HbA1c change 0-6 months) with change in weight (0-6 months) as a secondary outcome using linear regression and ANOVA with adjustment for baseline HbA1c and cotreatment change.

Results: Reduced glycemic response to GLP-1RAs was associated with longer duration of diabetes, insulin cotreatment, lower fasting C-peptide, lower postmeal urine C-peptide-to-creatinine ratio, and positive GAD or IA2 islet autoantibodies (P ≤ 0.01 for all). Participants with positive autoantibodies or severe insulin deficiency (fasting C-peptide ≤0.25 nmol/L) had markedly reduced glycemic response to GLP-1RA therapy (autoantibodies, mean HbA1c change -5.2 vs. -15.2 mmol/mol [-0.5 vs. -1.4%], P = 0.005; C-peptide <0.25 nmol/L, mean change -2.1 vs. -15.3 mmol/mol [-0.2 vs. -1.4%], P = 0.002). These markers were predominantly present in insulin-treated participants and were not associated with weight change.

Conclusions: Clinical markers of low β-cell function are associated with reduced glycemic response to GLP-1RA therapy. C-peptide and islet autoantibodies represent potential biomarkers for the stratification of GLP-1RA therapy in insulin-treated diabetes.

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References
1.
Kielgast U, Krarup T, Holst J, Madsbad S . Four weeks of treatment with liraglutide reduces insulin dose without loss of glycemic control in type 1 diabetic patients with and without residual beta-cell function. Diabetes Care. 2011; 34(7):1463-8. PMC: 3120168. DOI: 10.2337/dc11-0096. View

2.
Jones A, Hattersley A . The clinical utility of C-peptide measurement in the care of patients with diabetes. Diabet Med. 2013; 30(7):803-17. PMC: 3748788. DOI: 10.1111/dme.12159. View

3.
Inzucchi S, Bergenstal R, Buse J, Diamant M, Ferrannini E, Nauck M . Management of hyperglycemia in type 2 diabetes, 2015: a patient-centered approach: update to a position statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2014; 38(1):140-9. DOI: 10.2337/dc14-2441. View

4.
Kahn S, Carr D, Faulenbach M, Utzschneider K . An examination of beta-cell function measures and their potential use for estimating beta-cell mass. Diabetes Obes Metab. 2008; 10 Suppl 4:63-76. DOI: 10.1111/j.1463-1326.2008.00945.x. View

5.
Fonseca V . Defining and characterizing the progression of type 2 diabetes. Diabetes Care. 2009; 32 Suppl 2:S151-6. PMC: 2811457. DOI: 10.2337/dc09-S301. View