Open Access

The effects of GLP-1 analogues on pre-diabetes of the children

  • Authors:
    • Qing‑Xia Zhou
    • Zi‑Yu Wang
    • Hua‑Feng Zhao
    • Shan Wang
  • View Affiliations

  • Published online on: February 16, 2017     https://doi.org/10.3892/etm.2017.4129
  • Pages: 1426-1430
  • Copyright: © Zhou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The aim of the study was to evaluate the clinical efficacy of glucagon‑like peptide-1 (GLP-1) analogues in children of pre-diabetes to delay or reverse the development of pre‑diabetes into the state of diabetes by early intervention. Prospective and randomized controlled clinical trials were performed in 42 cases of newly diagnosed pre‑diabetes in children. The sample size was randomly divided into the two groups. The first group included 21 subjects comprising the lifestyle intervention group, i.e., control group, and the second group included 21 subjects comprising the lifestyle intervention+GLP‑1 analogues liraglutide group, i.e., observation group. Interventions carried out lasted 3 months. A review of intervention was carried out at 1 month and after 3 months. Medical examinations were carried out at the the time following diagnosis with pre‑diabetes and after the intervention of 3 months. The medical test examinations included the fasting blood glucose (FPG), 2‑hour postprandial blood glucose (2hPG), detection of glycated hemoglobin A1c (HbA1C), total cholesterol (TC), triglyceride (TG), low‑density lipoprotein cholesterol (LDL‑C), high‑density lipoprotein cholesterol (HDL‑C), body mass index (BMI), insulin resistance (IR) and the islet cell functions. After 1 month of intervention, the observation group exhibited a better control on FPG and 2hPG compared with the control group (P<0.05). After 3 months of the intervention, FPG and 2hPG levels of the observation group were significantly lower than those of the control group (P<0.01). The levels of HbA1C, TC, TG, LDL‑C, HDL‑C, and BMI of the observation group were statistically better controlled, when compared with the control group after the intervention of 3 months. The IR index of the observation group was significantly decreased compared to that of the control group (P<0.05) and the islet function index of the β-cell of the observation group showed statistically higher values than that of the control group (P<0.05). In conclusion, GLP‑1 analogues are a better regulator of blood sugar levels, effectively improve lipid profile, body mass, IR and islet β-cell function. Furthermore, GLP‑1 analogues opens up a new way to intervene pre-diabetes in children.

Introduction

Pre-diabetes (‘intermediate hyperglycaemia’) is based on glycaemic parameters above normal but below diabetes thresholds considered to be a high-risk state for diabetes with an annualized conversion rate of 5–10%, with a similar proportion converting back to normoglycaemia (1). Multifactorial risk scores may optimize the estimation of diabetes risk using non-invasive parameters and blood-based metabolic features in addition to glycaemic values. For prediabetic individuals, lifestyle modification is the cornerstone of diabetes prevention.

At present, the prevalence of diabetes mellitus (DM) and type 2 DM (T2DM) in children has significantly increased (2). To the best of our knowledge, few reports have focused on early intervention for children with DM and even literature based on pre-diabetic children intervention with regard to lifestyle is limited. The present study was conducted to evaluate the effect of glucagon-like peptide-1 (GLP-1) analogues for reversal of normal blood glucose in patients with pre-diabetes.

Materials and methods

Subjects

In total, 42 children diagnosed with pre-diabetes visited the outpatients of the Department of Endocrinology of Weifang People's Hospital. All the samples were selected from the period of April 2015 to April 2016, and patients were aged 6–18 years. Out of 42 children, 29 subjects were male and 13 subjects were female. Ethical clearance for the study was obtained from the Institutional Ethics Board of Weifang People's Hospital. Informed patient consent was also obtained from all the subjects.

Exclusion criteria

Any children with genetic metabolism, endocrine disease, kidney disease high blood pressure and high blood lipid profile were excluded from the study.

General information of both groups of patients is shown in Table I and the diagnostic criteria for the early stage of DM and dyslipidemia are shown in Table II.

Table I.

General information of both the groups of patients.

Table I.

General information of both the groups of patients.

GroupCases, no.Gender, male/femaleAgeBMI, kg/m2HbA1c, %
Control2115/611.12±2.1030.89±5.025.85±1.33
Observation2114/711.19±2.2730.98±4.975.87±1.35

[i] Gender, age, BMI and HbA1c were compared in the two groups of children, and P>0.05 indicated that they were comparable. BMI, body mass index; HbA1c, hemoglobin A1c.

Table II.

Diagnostic criteria of DM in the early stage and dyslipidemia.

Table II.

Diagnostic criteria of DM in the early stage and dyslipidemia.

DM and DM pre-diagnostic criteria, mmol/lDiagnostic criteria for dyslipidemia, mmol/l


IFGIGTDMHigh TGHigh TCLow HDL-C
FPG: (5.6–6.9), while OGTTOGTT 2 h blood glucoseFPG ≥7.0 or OGTT 2 h≥1.7≥5.2≤1.03
2 h blood glucose <7.8(7.8–11.0), while FPG <5.6blood glucose >11.1

[i] DM, diabetes mellitus; FPG, fasting blood glucose; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; OGTT, oral glucose tolerance test; TG, triglyceride; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol.

The children were randomly divided into the intervention group (control group) and the lifestyle intervention+GLP-1 analogues liraglutide group (observation group).

In the lifestyle intervention group, all the children followed a unified diet exercise prescription with regular telephonic conversation, outpatient follow-up, and education of the parents and children at the same time.

For the observation group, Liraglutide Injection (18 mg/piece; Novo Nordisk, Copenhagen, Denmark) treatment was administered. The initial dose was 0.6 mg/day subcutaneous injection, administered daily. After 1 week it was adjusted to 1.2 mg/day subcutaneous injection, daily, followed by 1.2 mg/day maintenance therapy for ≤3 months.

Determination of fasting height and weight of children was obtained manually. After 10 h of fasting, the next morning, venous blood indexes including fasting blood glucose (FPG), hemoglobin A1c (HbA1C), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting insulin (FINS), 2 h postprandial blood glucose (2hPG) were measured and oral glucose tolerance test was taken as a diagnostic test for DM. After 10 h of fasting, oral glucose was taken as 1.75 g/kg, ≤75 g/time. All other diagnostic methods of DM including TC, enzymatic measurement, LDL-C, HDL-C, direct method of measurement, FPG, measurement by the sugar kinase method, body mass index (BMI), homeostasis model assessment for β-cell function index (HOMA-β) and insulin resistance index (HOMA-IR) were calculated.

BMI was calculated as weight kg/height m2. HOMA-β was calculated as = 20 × FINS/(FPG-3.5). IR was calculated by homeostasis model assessment (HOMA), and HOMA was calcaluted as HOMA-IR = (FPG mmol/l × FINS mU/l/22.5). A HOMA-IR value of <4 indicated prompted high insulin sensitivity, whereas if the HOMA-IR value was >4, it indicated prompted low insulin sensitivity and high IR (3).

Statistical analysis

SPSS1 8.0 software (SPSS, Inc., Chicago, IL, USA) was used for statistics and analysis of data. Data of normal distribution were recorded as mean ± standard deviation. HOMA-β was transformed into normal data for analysis. Measurement data between the two groups were tested by t-test. The analysis before and after treatment was performed using paired t-test. P<0.05 was considered to indicate a statistically significant difference.

Results

Analysis of blood glucose metabolism of the two groups before and after the intervention

FPG levels of the two groups were compared before the intervention and after the 1 and 3 months of the intervention. After 1 month of intervention, the FPG in the observation group was 6.11±0.78 mmol/l, which was lower than that in the control group (6.21±1.21 mmol/l) (P<0.05). After 3 months of intervention, the FPG (0.01±0.66 mmol/l) in the observation group was significantly lower than that in the control group (6.12±1.08 mmol/l). The difference was statistically significant P<0.01 (Fig. 1).

Glucose levels after the 2-h glucose loading

We compared the blood glucose levels after 2 h of glucose loading between the two groups. After 1 month of intervention with 2 h of glucose loading, the blood glucose (7.22±2.01 mmol/l) in the observation group was lower than that in the control group (7.89±1.97 mmol/l). The difference was not significant (P>0.05). After 3 months of intervention with after 2 h of glucose loading, the blood glucose (6.15±1.67 mmol/l) in the observation group was significantly lower than that of the control group (7.63±1.82 mmol/l). The difference was significant (P<0.01) (Fig. 2).

HbA1C levels in the two groups

At the HbA1C level, the observation group was 5.87±1.35% and the control group was 5.85±1.33%. No significant difference in HbA1C levels between the two groups was observed (P>0.05). After 3 months of intervention, the HbA1C level in the observation group was 5.23±1.01%, which was significantly lower than that in the control group at 5.56±1.14% (P<0.01) (Fig. 3).

The serum lipid profile and BMI levels were analyzed in the two groups before and after the intervention. BMI, TC, TG, LDL-C, HDL-C, and FINS of the observation group revealed statistically significant results, when compared with the control group (P<0.05). Referring to the Chinese BMI criteria (7–18 years of age) and CDC 2000 criteria of the United States (6 years of age), children in the group were mostly overweight and obese, with the cumulative incidence at ≤83.33% (35/42 cases) (Table III).

Table III.

Blood lipids and fasting insulin were compared between the two groups.

Table III.

Blood lipids and fasting insulin were compared between the two groups.

Control groupObservation group


IndexEnrollmentIntervention for 3 monthsEnrollmentIntervention for 3 months
BMI, kg/m230.89±5.02 29.88±5.32a30.98±4.97 28.68±5.19a,b
FINS, µU/ml31.21±8.01 28.82±9.64a31.19±8.11 26.79±9.69a,b
TG, mmol/l1.13±0.721.10±0.391.14±0.62 1.04±0.37a,b
TC, mmol/l4.19±1.26 3.95±1.03a4.17±1.27 3.80±1.01a,b
HDL, mmol/l1.18±0.311.20±0.191.19±0.24 1.33±0.25a,b
LDL, mmol/l2.45±1.002.39±0.662.47±0.96 2.21±0.88a,b

{ label (or @symbol) needed for fn[@id='tfn3-etm-0-0-4129'] } The blood lipid profile of the two groups of children was compared at enrollment, P>0.05, when compared. Compared with before intervention

a P<0.05. The observation group was compared with the control group

b P<0.05. BMI, body mass index; FINS, fasting insulin; TG, triglyceride; TC, total cholesterol; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Comparison of the level of HOMA-IR and HOMA-β

The levels of HOMA-IR and HOMA-β were analyzed before and after intervention in the two groups. The decreased IR index of the observation group was higher than that of the control group, and the difference was statistically significant (P<0.05). Islet function index of the β-cell of the observation group was significantly higher than that of the control group, and the difference was statistically significant (P<0.05) (Table IV).

Table IV.

Comparison of the changes of HOMA-IR and HOMA-β in the two groups after 3 months of intervention.

Table IV.

Comparison of the changes of HOMA-IR and HOMA-β in the two groups after 3 months of intervention.

IndexCases, no.Control groupObservation group
HOMA-IR of enrollment217.04±2.737.06±2.68
HOMA-IR after 3 months21 6.52±3.51a 6.02±3.11a,b
HOMA-β of enrollment212.64±0.382.65±0.32
HOMA-IR after 3 months212.56±0.37 2.46±0.31a,b

{ label (or @symbol) needed for fn[@id='tfn6-etm-0-0-4129'] } HOMA-IR and HOMA-β of the two groups of children were compared at enrollment, P>0.05, when compared. Compared with before intervention

a P<0.05. The observation group was compared with the control group

b P<0.05. HOMA-IR, homeostasis model for assessment of insulin resistance.

Discussion

The results of the present study showed a total of ≤83.33% (35/42 cases) of obese and overweight children in the early stage of DM. Lifestyle changes reduced physical activity and unhealthy eating habits have caused an increased obesity incidence. In fact, approximately 110 million of the world's children are overweight or obese (5). Related findings also showed that compared with normal children, overweight and obese children had higher average blood glucose levels, blood glucose abnormalities, impaired glucose tolerance (IGT) and diabetes incidence (6). BMI in children with T2DM was elevated, while BMI and IR in childhood appeared simultaneously (7). The sensitivity of insulin was negatively correlated with BMI and obesity. Children with increased BMI revealed decreased insulin sensitivity and increased blood glucose level that resulted in impaired glucose metabolism. The period of normal glucose tolerance and hyperlipidemia are considered to be the early stage of DM (8). There are three stages of glucose metabolism in children and adolescents: Hyperinsulinemia, pre-DM and DM stage. The early stage of diabetes refers to the impaired glucose regulation between normal glucose metabolism and DM, including impaired fasting glucose (IFG), IGT, and IFG/IGT. Previous results obtained from China show 148 million individuals in the early stage of diabetes, thereby increasing the incidence rate to ≤15.5% (9). Approximately 70% of the patients of the early stage of diabetes eventually progress into diabetes, which is harmful for the population. Overweight, obesity and decreased physical activity of children with diabetes means they are at greater risk of developing diabetes. Over the past 40 years, there have been 8 large-scale clinical trials showing that 25–60% of pre-diabetes patients can prevent the development of diabetes by merely lifestyle intervention (9). In order to prevent the development of obesity in children, the key is how to prevent the development of obesity through early control. By changing the lifestyle such as introducing a proper diet plan and adequate exercise therapy, the conversion of pre-diabetes into diabetes may be preveted. Change of lifestyle is considered to be the cornerstone in the treatment of pre-diabetes. However, it is generally believed that the long-term effectiveness of lifestyle intervention is not good, and it is easy to rebound. Even if the body mass is reduced, there is a 40–50% likelihood that the IGT damages may cause T2DM (10). Therefore, lifestyle intervention alone cannot completely prevent the occurrence and development of diabetes. Few reports are available regarding the long-term effectiveness of only lifestyle intervention for the obese children. The practicability of only lifestyle intervention is poor, and is widely questioned by doctors and patients. In view of the particularity of school age children, due to the lack of self-discipline in children, the simple lifestyle intervention may be difficult in achieving individual weight loss because of its inability to achieve the amount of physical activity. On the other hand, considering the children's stage, calorie-restricted intake affects their growth and development, leading to the fact that the only simple lifestyle intervention cannot be implemented to reduce obesity. Consequently, early drug intervention programmes are correctly becoming more popular.

GLP-1 belongs to the gut peptide hormone secreted by intestinal epithelial L cells. GLP-1, the incretin hormone regulates appetite, delaying gastric emptying, stimulating islet β-cell proliferation, suppressing apoptosis, promoting insulin secretion, improving insulin sensitivity, fat mobilization, and restoring the function of islet β-cells. Due to its main role in a number of metabolic activities, GLP-1 peptide has become a hot topic in the study of obesity and diabetes prevention (11,12). Natural GLP-1 has a half-life of only 1–2 min and can be rapidly degraded by DPP-4 in vivo. After the degradation it became inactive, further hindering its clinical application. The GLP-1 analogues have a long half-life, which is not easily degraded and has the physiological function of GLP-1 to be applied in clinical practice (repeated). The representative drugs of GLP-1 peptide are exenatide and liraglutide. The peptide is the first GLP-1 analogue used for the treatment of T2DM. Previous studies revealed that the twice a day dose of exenatide subcutaneous injection and daily one dose of liraglutide subcutaneous injection, plays an important role in the regulation of blood sugar, reduction in weight, protection of islet β-cells and the prevention of cardiovascular disease (1319). LEAD results showed that liraglutide administered alone or in combination with other antidiabetic drugs, effectively improved the blood glucose level, and controlled the pancreatic β-cell function as well as weight loss with less risk of hypoglycemia (2025). When the glucose concentration was lower than 4.5 mmol/l, GLP-1 lost its hypoglycemic effect (21).

As the early application of GLP-1 analogues may reverse the early development of diabetes, this study used a prospective randomized controlled trial to compare the blood glucose, lipid profile, body weight, IR and β-cell function of pre-diabetic children after the intervention of 3 months in simple lifestyle intervention group (control group) and lifestyle intervention+GLP-1 analogue liraglutide treatment group (observation group). After 1 month of intervention, 2hPG and FPG in the observation group were lower than those in the control group (P<0.05). After 3 months, FPG and 2hPG of the observation group were significantly lower than those of the control group (P<0.01). After the 3 months of intervention, HbA1C, TC, TG, LDL-C, HDL-C, and BMI of the observation group were statistically different compared with the control group (P<0.05). The decreased IR index of the observation group was significantly higher than that of the control group (P<0.05). The islet function index of the β-cell of the observation group was significantly higher than that of the control group (P<0.05). GLP-1 analogues can control FPG, 2hPG blood glucose in early stages, improve blood lipid profile, improve BMI and IR, and improve the function of islet β-cell, while exploring new ways of early childhood intervention. In view of the current domestic and international use of GLP-1 powder injection of the long-acting analogue of chemical synthesis, with complex production process, high cost, expensive market price, storage and transportation difficulties, and inconvenience of subcutaneous administration, thus, clinical feasibility is not ideal. Therefore, we need to improve the production mode of GLP-1 similar peptide, change the way of using GLP-1 similar peptide, and develop GLP-1 similar peptide of high efficiency, that is cost effective and easy to use, in order to obtain good social benefits.

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Zhou QX, Wang ZY, Zhao HF and Wang S: The effects of GLP-1 analogues on pre-diabetes of the children. Exp Ther Med 13: 1426-1430, 2017
APA
Zhou, Q., Wang, Z., Zhao, H., & Wang, S. (2017). The effects of GLP-1 analogues on pre-diabetes of the children. Experimental and Therapeutic Medicine, 13, 1426-1430. https://doi.org/10.3892/etm.2017.4129
MLA
Zhou, Q., Wang, Z., Zhao, H., Wang, S."The effects of GLP-1 analogues on pre-diabetes of the children". Experimental and Therapeutic Medicine 13.4 (2017): 1426-1430.
Chicago
Zhou, Q., Wang, Z., Zhao, H., Wang, S."The effects of GLP-1 analogues on pre-diabetes of the children". Experimental and Therapeutic Medicine 13, no. 4 (2017): 1426-1430. https://doi.org/10.3892/etm.2017.4129