C-Peptide Area Under the Curve at Glucagon Stimulation Test Predicts Glucose Improvements by GLP-1 Receptor Analogue: A Retrospective Observational Study.

C-peptide GLP-1 receptor agonist Glucagon stimulation test Insulin-independent diabetes Liraglutide Lixisenatide

Journal

Diabetes therapy : research, treatment and education of diabetes and related disorders
ISSN: 1869-6953
Titre abrégé: Diabetes Ther
Pays: United States
ID NLM: 101539025

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 29 12 2018
pubmed: 23 2 2019
medline: 23 2 2019
entrez: 22 2 2019
Statut: ppublish

Résumé

Despite the widespread use of glucagon-like peptide-1 (GLP-1) receptor agonists (GLP-1ras) to improve glycemic regulation, with a low risk of hypoglycemia and weight reduction, their effectiveness varies among individuals. This study aimed to identify predictors of the efficacy of GLP-1ra on Hemoglobin A1c (HbA1c) in patients with insulin-independent diabetes. In total, 58 patients with insulin-independent diabetes were included. Patients were included if their β-cell function was evaluated via a glucagon stimulation test (GST) before the introduction of GLP-1ra therapy. β-Cell function-related indices, such as the C-peptide index (CPI), increments in C-peptide immunoreactivity (CPR) after glucagon stimulation (ΔCPR), and the area under the CPR curve (CPR-AUC) during the GST, were evaluated. HbA1c and body weight (BW) were measured at 6 and 12 months after the initiation of GLP-1ra. A univariate regression analysis revealed a significant correlation between CPR-AUC and changes in HbA1c at 6 months and with changes in BW at 6 and 12 months. A multivariate regression analysis revealed that CPR-AUC was significantly correlated with changes in HbA1c at 6 months. A receiver-operating characteristic analysis revealed that 21.9 ng/ml·min CPR-AUC was the optimal cut-off value to predict an HbA1c level < 7%, i.e., 53 mmol/mol. Residual β-cell function, as assessed via CPR-AUC in the GST, is an effective predictor of the efficacy of GLP-1ras.

Identifiants

pubmed: 30788807
doi: 10.1007/s13300-019-0586-6
pii: 10.1007/s13300-019-0586-6
pmc: PMC6437227
doi:

Types de publication

Journal Article

Langues

eng

Pagination

673-681

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Auteurs

Azusa Ohbatake (A)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Kunimasa Yagi (K)

First Department of Internal Medicine, University of Toyama, Toyama, Japan.

Shigehiro Karashima (S)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Yuki Shima (Y)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Yukiko Miyamoto (Y)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Hiroyuki Asaka (H)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Satoko Okazaki (S)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Mitsuhiro Kometani (M)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Masa-Aki Kawashiri (MA)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Yoshiyu Takeda (Y)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.

Takashi Yoneda (T)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Department of Health Promotion and Medicine of the Future, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Institute of Liberal Arts and Science, Kanazawa University, Kanazawa, Japan.

Daisuke Chujo (D)

Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan. dchujo@hosp.ncgm.jp.
Department of Diabetes, Endocrinology, and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan. dchujo@hosp.ncgm.jp.

Classifications MeSH