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Post-meal β-cell function predicts the efficacy of glycemic control in patients with type 2 diabetes inadequately controlled by metformin monotherapy after addition of glibenclamide or acarbose

Diabetology & Metabolic Syndrome volume 6, Article number: 68 (2014) Cite this article

Abstract

Background

This study aimed to explore parameters which will predict good control of HbA1c after adding a second anti-diabetic drug in patients with type 2 diabetes mellitus (T2DM) inadequately controlled with metformin monotherapy.

Methods

Fifty-one patients (M/F: 25/26, mean age: 53.7 ± 8.2 years, mean glycated hemoglobin [HbA1c] 8.4 ± 1.2%) with T2DM inadequately controlled with metformin were randomized to add-on glibenclamide or acarbose for 16 weeks. Before and after combination therapy, the subjects underwent a 2-hour liquid mixed meal tolerance test to determine insulin secretion (HOMA-β, insulinogenic index, and disposition index [DI]) and insulin sensitivity (HOMA-IR and Matsuda insulin sensitivity index).

Results

At baseline, there was a significant inverse relationship between DI120 and HbA1c (p = 0.001) in all subjects. The addition of glibenclamide and acarbose improved HbA1c significantly from 8.6 ± 1.6% to 7.4 ± 1.2% (p < 0.001), and from 8.2 ± 0.8% to 7.5 ± 0.8% (p < 0.001), respectively. In the glibenclamide group, DI120 significantly increased from 51.2 ± 24.2 to 74.9 ± 41.9 (p < 0.05), and in the acarbose group, from 62.5 ± 31.4 to 91.7 ± 36.2 (p < 0.05), respectively. Multiple regression analyses showed that both baseline HbA1c and DI120 independently predicted reduction of HbA1c as well as final HbA1c after combination therapy.

Conclusions

In patients with T2DM inadequately controlled with metformin, add-on oral anti-diabetic agent with glibenclamide or acarbose resulted in the significant HbA1c reduction and improvement of β-cell function. Subjects with greater baseline β-cell function reserve displayed better glycemic response in the combination therapy of metformin with glibenclamide or acarbose.

Trial registration

This study was registered in the ClinicalTrials.gov with registration number of NCT00417729.

Background

Impaired insulin secretion and insulin sensitivity are the main pathogenic defects in type 2 diabetes mellitus (T2DM), and can lead to either fasting or postprandial hyperglycemia [1]. The United Kingdom Prospective Diabetes Study (UKPDS) reports that at the diagnosis of T2DM, the pancreatic β-cell function is already half reduced, and then declines continuously despite the allocated therapy [2]. However, insulin insensitivity generally remains stable for years following the diagnosis [3]. Data from our group demonstrated that the contribution of PPG to glycemic control is equal to or greater than that of FPG across different ranges of HbA1c[4], and that this is partly accounted by the impaired early secretory defect of β-cell function in Asians, resulting in a greater contribution of PPG to overall glycemic control [5, 6].

In patients with T2DM, metformin therapy is generally recommended as the first line medication for glycemic control [7]. If the patients are unable to achieve or maintain their glycemic goal, other anti-diabetic agents are usually required, but which class of drug is more suitable remains a matter of debate. It has been reported that addition of sulfonylurea or acarbose can improve glycemic control in diabetic patients who fail to reach their HbA1c target with metformin alone, but limited data are available guiding the add-on class of oral anti-diabetic drug (OAD) in patients with T2DM inadequately controlled with metformin [7]. At present, few data are available to study the factors that influence the glycemic response after addition of glibenclamide and acarbose in patients with type 2 diabetes inadequately controlled by metformin monotherapy. Because β-cell dysfunction plays an important role in the progression of glycemic control in T2DM, it was hypothesized that underlying β-cell dysfunction may affect the glycemic control efficacy of the secondary added-on medication. Therefore, this study aimed to compare the clinical efficacy of addition of glibenclamide and acarbose and evaluate whether β-cell function could predict glycemic control (indicated as HbA1c) in patients with T2DM poorly controlled with metformin.

Methods

Study design

This was a 24-week, randomized, open-label, parallel study conducted at Taichung Veterans General Hospital and Changhua Christian Hospital, Taiwan. Some of the results of this study were published before [8]. In brief, outpatients with T2DM, who were 30 to 70 year-old and treated by mono- or dual- OAD therapy for above 3 months with a HbA1c value of 7.0 to 11.0%, were eligible. Total 51 subjects (mean age, 54 years; females, 51%; mean body mass index (BMI), 25.6 kg/m2; mean HbA1c, 8.4% were randomized when they were inadequately controlled by metformin monotherapy (500 mg 3 times daily) for 8 weeks. Anthropometric data, FPG, HbA1c, and lipid profiles were measured at baseline (randomization visit) and at the end of the study after a 16-week treatment with dual oral hypoglycemic agents. Patients were excluded if they were treated with insulin or drugs that promote weight loss, had impaired renal (serum creatinine concentration >1.5 mg/dL) or liver (aspartate aminotransferase or alanine aminotransferase 2.5 times greater than the normal range) function, had a history of hemoglobinopathy or chronic anemia, or were women of child-bearing potential without adequate contraception. During the 16-week period of dual therapy, dosages were 50 mg TID for acarbose and 2.5 mg TID for glibenclamide for the first 4 weeks. For the following 12 weeks, dosages were doubled in each group, if the subjects could tolerate [8]. The present report further analyzed the relationship between HbA1c and insulin secretion/sensitivity indices, and examined whether beta-cell function and insulin sensitivity were correlated with glycemic control after add-on glibenclamide or acarbose. Prior to randomization, a liquid mixed meal tolerance test (LMTT) was conducted after a 10-hour overnight fast. The liquid mixed meal contained 355.5 ml and 399 kcal (caloric contribution: 64% carbohydrate, 14% fat, and 22% protein). Blood samples were collected for measurement of serum glucose and insulin concentration at pre-meal (0 min) and at the 10th min, 20th min, 30th min, 60th min, 90th min, 120th min, and 180th min via an indwelling venous catheter. AUCglu was determined as the sum of the basal area and incremental area from 0 min to 120 min. Insulin sensitivity was estimated by homeostasis model assessment of insulin resistance (HOMA-IR) [9] and the Matsuda insulin sensitivity index (MISI) [10]. Insulin secretion was estimated by homeostasis model assessment of β-cell function (HOMA-β) [9] and the insulinogenic index calculated as the ratio of incremental insulin to glucose during the first 30 min of the LMTT (Δinsulin to Δglucose = I30 - I0/G30 – G0) [11]. In addition, because the response of insulin secretion from β-cells to hyperglycemia is modulated by the severity of insulin resistance, we also used the disposition index (DI), which is calculated as the product of insulin sensitivity and insulin secretion [12–14]: early-phase disposition index, DI30 = [AUCins 30/AUCglu 30] × MISI and total disposition index, DI120 = [AUCins 120/AUCglu 120] × MISI. After a 16-week therapy of dual oral hypoglycemic agents, a second LMTT was performed with all patients. The study was approved by the Institutional Review Board of Taichung Veterans General Hospital and Changhua Christian Hospital, Taiwan, and all subjects provided informed consent.

Laboratory measurements

Plasma glucose was measured by the glucose oxidase–peroxidase method (Advia 1800; Siemens Healthcare Diagnostics Inc., Deerfield, Illinois). The inter- and intra-assay%CV for glucose were both <1.5%. Serum insulin was determined using electrochemiluminescence immunoassay (Elecsys 2010; Roche Diagnostics, Indianapolis, Indiana). The inter- and intra-assay%CV for insulin were 1.8% and 2.5%, respectively. HbA1c was measured by cation-exchange HPLC (HLC-723 G7; Tosoh Bioscience Ltd., Worcestershire, United Kingdom). The inter- and intra-assay%CV for HbA1c were both <4.0%.

Statistical analyses

Data are presented as the mean ± standard deviation for continuous variables and percentage for categorical variables. The Chi-square test and Mann–Whitney U test were used for between-group comparison. Linear regression analyses were used to determine the relationship between any one index of insulin sensitivity or secretion and glucose control parameters, such as baseline HbA1c, FPG, or (AUCglu) in 120 min after adjustment of age, gender, baseline BMI, and disease duration. The Wilcoxon signed rank test was used to analyze the differences in BMI, FPG, HbA1c, HOMA-IR, HOMA-β, insulinogenic index, MISI, and DI120 from baseline to the end of the study. In addition, simple correlation and multiple regression analysis were conducted to evaluate the independent relationship between either HbA1c level or the magnitude of HbA1c reduction after combination therapy and background factors as well as baseline insulin secretion/sensitivity indices. A p-value of less than 0.05 was considered statistically significant. Statistical analyses were performed using SPSS version 15.0 (SPSS Inc., Chicago, Illinois).

Results

The CONSORT flow diagram of this study was shown in the Figure 1. All of the 51 subjects enrolled in the present study were treated with metformin (500 mg 3 times daily) for the first 8 weeks as a washout period. After this period, 28 subjects were treated with metformin and acarbose while another 23 were treated with metformin and glibenclamide for 16 weeks. There was no significant difference in the clinical characteristics of each group before randomization (Table 1). Multiple linear regression analyses were performed to test the association between glucose control parameters and insulin secretion/sensitivity indices after metformin monotherapy and before randomization. It was shown DI120 was the only parameter inversely associated with HbA1c after adjustment of age, gender, disease duration, and baseline BMI. Both DI120 and HOMA-β significantly correlated with other glucose control parameters, FPG or AUCglu. As for indices of insulin sensitivity or resistance, only HOMA-IR was significantly associated with FPG (Table 2).

Figure 1
figure 1

CONSORT flow diagram.

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Table 1 Baseline characteristics of participants by treatment at randomization
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Table 2 Multiple linear regression analysis between insulin sensitivity and secretion indices and glucose control parameters before randomization
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After 16 weeks of dual-OAD therapy, there was a significant decrease in FPG and HbA1c values in both groups (Table 3), and eighteen of the 51 subjects (35.3%) achieved good glycemic control of HbA1c < 7.0% (9 subjects, 32.1% in acarbose group and 9 subjects, 39.1% in glibenclamide group, respectively, p = 0.603). Although there was no difference in HbA1c between the 2 groups after add-on therapy, the mean HbA1c reduction in the glibenclamide arm (1.2%) was greater than in acarbose arm (0.7%), that was compatible with the general concept that sulfonylurea has a more potent effect upon the magnitude of HbA1c reduction than acarbose [7]. In addition, the insulin secretion marker, DI120, improved in both groups, but there was no significant difference in these insulin secretion/sensitivity surrogates, and their change before and after combination therapy between the 2 treatment groups. Multiple linear regression analyses were performed to test the relationship between baseline DI120 and HbA1c in all subjects after combination therapy of metformin with glibenclamide or acarbose (Table 4). By using the 3 analysis models to adjust OAD classes and other possible bias factors, including age, gender, disease duration, baseline BMI, and other insulin secretion/sensitivity indices, both baseline HbA1c and DI120 were significantly associated with HbA1c after add-on therapy. Likewise, a significant association was also found between baseline DI120 and the magnitude of HbA1c reduction after add-on therapy (Table 5). In each subgroup, simple correlation analysis showed that there was a negative correlation between baseline DI120 and HbA1c after dual therapy in acarbose group (r = − 0.439, p = 0.022), and in glibenclamide group (r = −0.584, p = 0.003), respectively.

Table 3 Comparison of glucose control parameters, insulin secretion and sensitivity surrogates before and after treatment in both groups
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Table 4 Multiple linear regression models of HbA 1c after combination therapy
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Table 5 Multiple linear regression models of magnitude of HbA 1c reduction after combination therapy
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Discussion

The main finding from the present study was that in those patients with T2DM inadequately controlled by metformin, residual β-cell function, expressed by DI120, independently predicted glycemic response after adding a 2nd OAD, either glibenclamide or acarbose.

It is well recognized that pancreatic β-cell dysfunction is a key pathogenetic factor involved in T2DM [1]. In 1981, Bergman et al. [15] postulated the product of insulin sensitivity and insulin secretion was a constant, namely, the disposition index (DI). This index represents the responsiveness of β-cells in compensating for insulin sensitivity [16]. In general, DI120 represents the overall insulin response to insulin sensitivity during oral glucose tolerance test [12]. In addition, DI120 derived from LMTT also has a predictive power analogous to that calculated from intravenous glucose tolerance test [13, 14]. In clinical studies, DI has been shown to decrease with progression from normal glucose tolerance to diabetes mellitus, and can be used to predict the development of diabetes over a long period in a population without diabetes [17]. Of note, our study also demonstrated that before randomization, there was a significant negative association between DI120 and HbA1c, but not HOMA-β, insulinogenic index, HOMA-IR, or MISI. These observations were supported by our previous report that PPG was an important contributor to glycemic control [4] and indicated that β-cell dysfunction relative to insulin sensitivity was a major determinant of HbA1c in Asians.

There was a significant decrease in FPG and HbA1c values after 16 weeks of dual-OAD therapy in both groups. It was shown that baseline HbA1c was significantly associated with the magnitude of HbA1c reduction after add-on therapy. Several factors, including higher baseline HbA1c, longer disease duration, younger age, and higher BMI have been reported to be associated with poorer glycemic control in patients with T2DM [18–20]. However, in the present study, only baseline HbA1c, but not age, disease duration, BMI, or gender, independently predicted good glycemic control after adding glibenclamide or acarbose to metformin therapy. It was speculated that a small sample size, short follow-up duration, and limited OAD classes might be causes of inconsistent results.

In addition to decreased HbA1c after add-on second OAD, the insulin secretion marker, DI120, also improved in both groups. It is proposed that ameliorating hyperglycemia in subjects with type 2 diabetes might also have a helpful effect on β-cell failure by attenuating so-called glucose toxicity effect [21]. Particularly, our study also found that baseline DI120 was an independent predictor of glycemic control after adding glibenclamide or acarbose in the subjects inadequately controlled by metformin monotherapy. It has been reported that β-cell dysfunction can relate to HbA1c in newly diagnosed T2DM [22, 23], or in already OAD-treated adults with T2DM [24–26]. However, some of these studies were limited in that they disclosed only the cross-sectional relationship between β-cell function and glycemic parameters. Our study findings would extend the role of β-cell function in predicting the therapeutic response of HbA1c levels. This result may be particularly important in Asian people with diabetes because it is proposed that β-cell dysfunction plays a major role in the pathogenesis of T2DM in this group of patients [5], and thus can determine HbA1c response after use of oral hypoglycemic agents.

Several studies have reported that the addition of sulfonylurea or acarbose improved glycemic control in patients with T2DM unable to achieve or maintain glycemic control with metformin monotherapy alone [7, 27]. It is generally accepted that sulfonylureas exert their hypoglycemic effect in part through direct action on pancreatic β-cells, which augments insulin secretion, although improvements in insulin sensitivity have also been reported in some, but not all studies [28–30]. Based on the anti-hyperglycemic mechanisms of sulfonylurea, it seemed reasonable that patients with higher baseline DI120 would have a better treatment response after adding glibencalmide, as seen in our patients.

Alpha-glucosidase inhibitors, such as acarbose, act via inhibiting disaccharide hydrolyzing enzymes in the small intestine, thereby decreasing glucose absorption and improving control over postprandial hyperglycemia. Acarbose has also been found to improve both insulin resistance and secretion indirectly in obese patients with T2DM [31, 32]. It is postulated that insulin secretion and sensitivity might have improved at least in part through a decrease in glucose toxicity, because α-glucosidase inhibitors do not have a direct effect on insulin secretion or sensitivity. It was speculated that the improvement in HbA1c in the patients in the acarbose group was a result of cooperative improvement of insulin sensitivity and secretion after an amelioration of glucose toxicity, and thus residual β-cell function still played a role in the regulation of glycemic response after acarbose [33].

The strength of our study is the collection of insulin secretion or insulin sensitivity parameters during LMTT, which is not easily done in clinical studies. However, this LMTT was limited by that some subjects still used the investigational medication (e.g. sulfonylurea) in the evening before the 2nd LMTT, and thus the DI120 derived from the 2nd LMTT may reflect drug-stimulated rather than endogenous residual β-cell function. Second, our study enrolled small sample size of patients a single ethnic population, which might influence statistical power to analyze whether DI120 was a significant predictor of HbA1c after combination therapy of metformin with glibenclamide or acarbose. Third, this study had short washout period, that might make the baseline HbA1c at inclusion underestimated in patients taking sulfonylurea in comparison to those selected after metformin monotherapy failure. Finally, we did not evaluate the other choices of add-on medication. Further prospective studies with more patients and longer follow-up are needed to determine the association between DI120 and good glycemic control, especially in connection with different OADs.

Conclusions

Addition of glibenclamide or acarbose resulted in the significant HbA1c reduction and improvement of DI120 in patients poorly controlled with metformin, and post-meal DI120 predicted the change in HbA1c in each group after addition of glibenclamide or acarbose. It is suggested that residual β-cell function reserve may help to predict glycemic control response of combination of these agents.

Abbreviations

AUCglu:

Area under curve of glucose

AUCins:

Area under curve of insulin

BMI:

Body mass index

DI:

Disposition index

FPG:

Fasting plasma glucose

HbA1c:

Glycated hemoglobin

HOMA-IR:

Homeostasis model assessment insulin resistance index

HOMA-β:

Homeostasis model assessmentβ-cell function index

LMTT:

Liquid mixed meal tolerance test

MISI:

Matsuda insulin sensitivity index

OAD:

Oral anti-diabetic drug

PPG:

Postprandial glucose

T2DM:

Type 2 diabetes mellitus

UKPDS:

United Kingdom prospective diabetes study.

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Acknowledgements

This study was supported by grants from Taichung Veterans General Hospital, Taichung, Taiwan and Bayer Schering Pharma, Taiwan Branch. The sponsors of the study were not involved in the study design, data collection, analysis, interpretation of the results, or preparation of the manuscript. Statistical analyses were supported in part by the Section of Biostatistics in Taichung Veterans General Hospital.

The statement of funding sources

This study was financially supported in part by Bayer Schering Pharma, Taiwan Branch, which was not involved in the designing of the study, data collection, analysis, interpretation of the results, or preparation of the article.

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Author notes

    Authors and Affiliations

    1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, No. 1650, Sect. 4, Taiwan Boulevard, Taichung, 40705, Taiwan, China

      Po-Hsun Chen, Jun-Sing Wang, I-Te Lee, Yao-Hsien Tseng, Wayne H-H Sheu & Shih-Yi Lin

    2. Department of Internal Medicine, Taichung Veterans General Hospital, Chiayi branch, Chiayi, Taiwan, China

      Yi-Ting Tsai

    3. Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan, China

      Shi-Dou Lin, Shih-Li Su & Shih-Te Tu

    4. Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan, China

      Wen-Jane Lee

    5. School of Medicine, College of Medicine, National Yang-Ming University, Taipei, Taiwan, China

      I-Te Lee, Wayne H-H Sheu & Shih-Yi Lin

    6. Department of Medicine, National Defense Medical Center, Taipei, Taiwan, China

      Wayne H-H Sheu

    7. Institute of Medical Technology, College of Life Science, National Chung-Hsing University, Taichung, Taiwan, China

      Wayne H-H Sheu

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    7. I-Te Lee
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    8. Shih-Te Tu
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    9. Yao-Hsien Tseng
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    Corresponding author

    Correspondence to Shih-Yi Lin.

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    Competing interests

    I-T Lee received grants from MSD and Bayer Schering Pharma. S-T Tu has been a consultant for MSD, Bayer Schering Pharma, Eli Lilly, Astra-Zeneca, and BMS, and received honoraria from MSD, Bayer Schering Pharma, Eli Lilly, BMS, and Novo-Nordisc; he has also received grants from Bayer Schering Pharma. Wayne H-H Sheu has been a consultant for MSD, Roche, Bayer Schering Pharma, Eli Lilly, Astra-Zeneca, and BMS, and received honoraria from MSD, Roche, Bayer Schering Pharma, Eli Lilly, Astra-Zeneca, BMS, and Novo-Nordisc; he has also received grants from MSD and Bayer Schering Pharma. The other authors whose names are listed above certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest, and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

    Authors’ contributions

    P-HC interpreted the data and wrote the manuscript; Y-TT interpreted the data and wrote the manuscript; J-SW conducted the study and performed the data collection; S-DL conducted the study; W-JL conducted the study and performed the data collection; S-LS conducted the study; I-TL conducted the study and performed data collection; S-TT conducted the study; Y-HT conducted the study; WH-HS conducted the study and interpreted the data; S-YL conducted the study, interpreted the data, and wrote the manuscript. All authors read and approved the final manuscript.

    Po-Hsun Chen, Yi-Ting Tsai contributed equally to this work.

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    Chen, PH., Tsai, YT., Wang, JS. et al. Post-meal β-cell function predicts the efficacy of glycemic control in patients with type 2 diabetes inadequately controlled by metformin monotherapy after addition of glibenclamide or acarbose. Diabetol Metab Syndr 6, 68 (2014). https://doi.org/10.1186/1758-5996-6-68

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    Keywords

    Diabetology & Metabolic Syndrome

    ISSN: 1758-5996

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