Introduction

Diabetes is a worldwide health problem reaching epidemic proportions nowadays [1]. Type 2 diabetes (T2D) accounts for 90–95% of all diagnosed cases of diabetes [1]. Complications associated with T2D may lead to functional disability, vascular complications and premature death [2]. Therefore, prevention or delay of T2D development is of major clinical importance [3].

Overt T2D is usually preceded by prediabetes, which is characterized by impaired fasting glucose (IFG), expressed as fasting plasma glucose levels between 100 and 125 mg/dl, or impaired glucose tolerance (IGT), expressed as plasma glucose levels between 140 and 200 mg/dl 2 h after oral intake of 75 g of glucose [3]. IFG and IGT reflect the presence of insulin resistance, which, in turn, leads to T2D [2, 4]. Lowering plasma glucose in patients with prediabetes can effectively prevent or delay the development of T2D and its associated complications [3].

Several herbal substances seem to improve glucose metabolism. Specifically, fenugreek (Trigonella foenum-graecum L.), which includes soluble fibers, saponins, trigonelle, diosgenin and 4-hydroxy-isoleucine, has been associated with reduction both in fasting and postprandial glucose levels, as well as increase in C-peptide values [5]. Some studies and a meta-analysis demonstrated a reduction in glycated hemoglobin (HbA1c) levels with fenugreek mainly in patients with T2D, while the doses of antidiabetic drugs were reduced in patients who took fenugreek on top of their hypoglycemic treatment [6, 7]. Furthermore, this agent has been found to improve lipid profile, possibly by inhibiting cholesterol and bile acid absorption from the small intestine [7].

The use of olive leaf polyphenols (Olea europaea L.) has been associated with improvement in insulin sensitivity by 15% and pancreatic β-cell responsiveness by 28% in middle-aged obese men [8].

Bergamot extract may improve both hyperglycemia and lipid profile, as it was shown to reduce total and low-density lipoprotein cholesterol (LDL-C), triglycerides and small-dense LDL particles and increase high-density lipoprotein cholesterol (HDL-C) in one study [9]. It also reduced carotid intima media thickness (cIMT) in a study including patients with IGT and T2D [10].

In this context, we investigated the effects of an agent containing bergamot extract (500 mg), fenugreek seed extract (200 mg) and olive leaf extract (100 mg) (active agent – AA) on glucose homeostasis in patients with prediabetes.

Material and methods

Study population

Consecutive patients with prediabetes (N = 100) attending the Outpatient Lipid and Obesity Clinic of the University Hospital of Ioannina, Ioannina, Greece participated in the present study. The presence of prediabetes, based on the American Diabetes Association (ADA) definition, was identified with any of the following:

  • IFG (fasting plasma glucose = 100–125 mg/dl);

  • IGT (plasma glucose levels between 140 and 200 mg/dl 2 h after ingesting 75 g of glucose);

  • HbA1c = 5.7–6.4%.

Patients with overt T2D were excluded from the study. Patients taking drugs which affect glucose homeostasis (e.g. diuretics, statins, β-blockers, antipsychotics) were included in the study only if the doses of these agents were stable for the last 8 weeks, while no change in their treatment was made during the study period.

The study protocol was approved by the Ethics Committee of the University Hospital of Ioannina and all participants gave their written informed consent before enrollment.

Study design

This was a randomized, double-blind, placebo-controlled study. Subjects were randomized to AA (n = 50) or placebo (n = 50) using permuted blocks randomization. Enrollment was completed in a period of 6 months between 2016 and 2017. Follow-up visits took place at 6 months after treatment initiation.

The aim of the present study was to assess the effects of AA on glucose homeostasis in patients with prediabetes. The primary efficacy endpoint was the change in HbA1c levels at 6 months after treatment initiation. Secondary endpoints included changes at 6 months in: i) fasting plasma glucose and insulin levels, ii) homeostasis model assessment-insulin resistance (HOMA-IR) index, iii) total cholesterol (TC), triglyceride, HDL-C and LDL-C levels, iv) basic biochemical parameters (serum creatinine, urea, uric acid, aminotransferases and creatine kinase (CK)), as well as the occurrence of any adverse effects associated with treatment.

Laboratory measurements

All laboratory measurements were carried out after an overnight fast (water consumption was allowed). Serum levels of fasting glucose, TC, HDL-C, triglycerides, uric acid, creatinine, urea, and CK, as well as serum activities of aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were determined enzymatically in the laboratory of the University Hospital of Ioannina using an Olympus AU 600 analyzer (Olympus Diagnostica GmbH, Hamburg, Germany). LDL-C was calculated using the Friedewald equation. Fasting serum insulin was measured by an AxSYM insulin assay microparticle enzyme immunoassay on an AxSYM analyzer (Abbott Diagnostics, Illinois, USA). The HOMA-IR index was calculated as follows: HOMA-IR index = fasting insulin (mU/l) × fasting glucose (mg/dl)/405. The determination of HbA1c was based on a standardized latex agglutination inhibition assay (Randox Laboratories Ltd., Antrim, UK). HbA1c values are expressed as percentage of total hemoglobin concentration. The sensitivity of the method is 0.25 g/dl of HbA1c and the within-run and between-run precision are < 6.67% and < 4.82%, respectively.

Statistical analysis

We used the statistical program G*Power 3.0.10 for power calculation. It was estimated that a sample size of 88 would give an 80% power to detect a 0.4% difference in the levels of HbA1c concentration at a 2-sided α of 0.05. We included 100 patients allowing for a drop-out rate of ~10%. All parameters were checked for normality with the Kolmogorov-Smirnov test and non-normally distributed variables were log-transformed. Data are expressed as the mean ± SD except for non-normally distributed variables, which are presented as median (range). The paired-samples t-test and the Wilcoxon’s rank test for normally distributed and non-normally distributed variables, respectively, were used to assess the effect of treatment in each group. Analysis of covariance (ANCOVA), adjusted for baseline values, was used for the comparisons between treatment groups. Significance was defined as p < 0.05. All analyses were carried out with SPSS 16.0 (SPSS Inc.).

Results

We enrolled 100 patients (49 men and 51 women, mean age: 57 ±7 years). Baseline characteristics of study participants are shown in Table I. No significant difference regarding baseline data, including drugs (data not shown), was found between groups. Overall, 87 patients completed the study; compliance rate was > 80% in these patients. Of the remaining 13 patients, 7 did not complete the 6-month follow-up, 1 withdrew informed consent and 5 discontinued treatment due to side effects (bad taste).

Table I

Anthropometric and metabolic parameters at baseline

ParameterAA (n = 50)Placebo (n = 50)P-value
Male/female23/2726/24NS
Smoking (%)2328NS
Body weight [kg]83.2 ±2082.9 ±16NS
Body mass index (BMI) [kg/m2]29.0 ±3.030.4 ±5.8NS
Systolic blood pressure [mm Hg]126 ±14125 ±12NS
Diastolic blood pressure [mm Hg]76 ±976 ±9NS
Fasting plasma glucose [mg/dl]105.4 ±8.7102.6 ±7.0NS
Fasting plasma insulin [µU/ml]10.2 (1.6–4.7)14 (6.0–25.4)NS
HOMA-IR index2.4 (0.1–12.0)2.5 (0.3–11.0)NS
HbA1c (%)5.9 ±0.35.9 ±0.3NS
Total cholesterol [mg/dl]164 ±21165 ±26NS
Triglycerides [mg/dl]121 (57–271)121 (64–256)NS
High-density lipoprotein cholesterol [mg/dl]52 ±949 ±11NS
Low-density lipoprotein cholesterol [mg/dl]88 ±1893 ±21NS

[i] AA – active agent, HbA1c – glycated hemoglobin, HOMA-IR – homeostasis model assessment insulin resistance.

No significant change was observed at 6 months in either group in HbA1c, fasting plasma glucose, insulin or HOMA-IR index. Furthermore, none of the lipid profile parameters was significantly altered in either treatment group. All changes are shown in Table II.

Table II

Change of laboratory values at 6 months

ParameterBaseline6 months% changeP-value vs. baselineP-value between groups
HbA1c (%):NS
 AA5.9 ±0.35.9 ±0.4NS
 Placebo5.9 ±0.35.9 ±0.3NS
Fasting plasma glucose [mg/dl]:NS
 AA105.4 ±8.7104.2 ±11–1NS
 Placebo102.6 ±8102.6 ±10NS
Fasting plasma insulin [µU/ml]:NS
 AA10.2 (4.3–13.2)9.4 (5.7–16.1)–8NS
 Placebo14.0 (5.6–14.6)12.6 (6.7–17.8)–10NS
HOMA-IR index:NS
 AA2.4 (1.1–3.5)2.1 (1.5–4.5)–12NS
 Placebo2.5 (1.4–3.4)2.1 (1.2–4.3)–16NS
Total cholesterol [mg/dl]:NS
 AA164 ±21162 ±27–1NS
 Placebo165 ±26169 ±30+2NS
Triglycerides [mg/dl]:NS
 AA122 ±51111 ±45–9NS
 Placebo121 ±51126 ±47+4NS
High-density lipoprotein cholesterol [mg/dl]:NS
 AA52 ±953 ±10+2NS
 Placebo49 ±1148 ±10–2NS
Low-density lipoprotein cholesterol [mg/dl]:NS
 AA88 ±1888 ±22NS
 Placebo93 ±2196 ±25+3NS

[i] AA – active agent, HbA1c – glycated hemoglobin c, HOMA-IR – homeostasis model assessment-insulin resistance, NS – non-significant. All variables are expressed as the mean ± standard deviation (SD) except for non-normally distributed variables, which are presented as the median (range).

Measured biochemical parameters remained unaltered in both groups (not shown). No adverse effects were reported apart from bad taste after pill ingestion in patients (n = 5) who discontinued therapy.

Discussion

In this double-blind placebo-controlled study we demonstrated for the first time that treatment with a formulation containing extracts of bergamot, fenugreek and olive leaf for 6 months did not result in any change in glycemic or lipid profile in subjects with prediabetes.

A meta-analysis including 10 studies on the effect of fenugreek on glycemia demonstrated significant reductions in fasting glucose (–0.96 mmol/l; 17.3 mg/dl, 95% confidence interval (CI): –1.52, –0.40; I2 = 80%; 10 trials), 2 h post-load glucose (–2.19 mmol/l; 39.4 mg/dl, 95% CI: –3.19, –1.19; I2 = 71%; 7 trials) and HbA1c (–0.85%; 95% CI: –1.49%, –0.22%; I2 = 0%; 3 trials) with fenugreek administration compared with control interventions [6]. On the other hand, the pooled effect of fenugreek on fasting serum insulin was not significant [6]. These results should be interpreted with caution for several reasons. Most of the included trials were of low methodological quality and none of them reported the methods of randomization or allocation concealment, while only a few trials provided information on blinding status and drop-out rates. Furthermore, the sample size for all trials combined was 278 (range: 5–15 participants for crossover trials and 25–69 participants for parallel trials; thus, the findings are derived only from small studies). There was a wide range in the daily dose of fenugreek seed, i.e. 1–100 g (median: 25 g), and study duration (10–84 days; median: 30 days) [6]. Obviously, there is considerable heterogeneity in study results depending on diabetes status and fenugreek dose. In fact, significant effects on fasting and 2 h postprandial glucose were only observed in studies which included patients with T2D and used medium or high doses of fenugreek [6]. Most of the studies included in this meta-analysis involved T2D patients treated with diet or oral anti-diabetic agents. One study was conducted in subjects with T1D and only 2 studies included non-diabetic participants. We could assume that the neutral effects seen in our study may be due to the inclusion of only prediabetic individuals. Of note, baseline fasting glucose and HbA1c in our study were closer to normal than to diabetic values. Furthermore, the dose of fenugreek was only 200 mg/day, which is much smaller than the doses used in most other studies. Nevertheless, our study was adequately powered, was randomized double-blind, placebo-controlled and had sufficient duration.

After the publication of the above mentioned meta-analysis, a randomized, double-blind, placebo-controlled study evaluated the efficacy and safety of standardized fenugreek seed extract (500 mg) in 154 patients with T2D [7]. The active treatment was associated with significant reductions in HbA1c (–18%), fasting (–22%) and postprandial plasma (PP) glucose levels (–31%), as well as an increase in C-peptide levels compared with baseline. Furthermore, in the fenugreek group a reduction in concomitant anti-diabetic medications was observed. We should note, though, that significant reductions of 17.4% and 16.0% in PP glucose and HbA1c, respectively, were observed in the placebo group as well; however, the difference between groups was significant. Therefore, the overall beneficial effects of fenugreek in this study may not be attributed only to the agent itself, but rather to other factors, e.g. adherence to lifestyle in the context of the close monitoring of a clinical trial. The design of this study was of higher quality compared with the ones included in the aforementioned meta-analysis. The discrepancy between the findings of this and our study may be attributed to the different patient populations, as previously discussed. It can be speculated that fenugreek improves glucose metabolism only if it is severely impaired (i.e. the greater the baseline HbA1c, the greater the reduction achieved). Furthermore, the dose of fenugreek used in this study was 2.5 times higher than the one we used.

We found only one study in non-diabetic participants that was not included in the aforementioned meta-analysis. Fourteen overweight and obese Asian subjects 32–52 years old received food with a high glycemic index and were randomized to treatment with fenugreek or no treatment. The primary endpoint was the incremental area under the plasma glucose response curve (IAUC) [5]. Adding fenugreek to foods significantly reduced the IAUC compared with food alone. This study demonstrated a favorable effect of fenugreek in glucose homeostasis, which is in contrast with the results of our study. However, the patient population had several differences compared with ours, i.e. it included Asian subjects and subjects of younger age. Furthermore, the sample size was relatively small and the study was not randomized, double-blind, placebo-controlled.

We should note that the other extracts (from bergamot and olive leaf) included in the AA have not been associated with deleterious effects on glycemic profile [8] and, thus, cannot be blamed for the neutral effect of AA in glucose metabolism parameters. To the contrary, olive leaf polyphenols may improve insulin sensitivity and pancreatic β-cell responsiveness [8], while there is evidence that bergamot extract has beneficial effects in hyperglycemia [9].

Regarding lipid profile, we did not observe any significant alterations in any of the lipid parameters. Importantly, almost all participants were on statin and/or other lipid lowering treatment and most of them were adequately controlled. Therefore, it would not be easy to show additional lipid lowering with this agent. In one study which showed improvement in all lipid parameters with bergamot, patients had moderate hypercholesterolemia, but were statin-intolerant and received no lipid-lowering agent [10].

In conclusion, an agent containing fenugreek, bergamot and olive leaf extracts in patients with prediabetes was not associated with any change in glycemic or lipid profile. Future studies may shed more light on the role of these substances in patients with overt T2D.