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Probiotic fruit beverages with different polyphenol profiles attenuated early insulin response
© The Author(s). 2018
- Received: 5 June 2017
- Accepted: 5 February 2018
- Published: 27 February 2018
Consumption of polyphenol-rich fruits and vegetables may improve postprandial glucose and insulin levels and hence promote well-being. Previously it has been observed that consumption of bilberry decreases the postprandial insulin demand. The intention with the present study was to compare the impact of different supplements with various polyphenol profiles, on the postprandial glucose and insulin responses in healthy young adults.
In a randomized, controlled, crossover study the postprandial glycemic and insulin responses were observed in eleven healthy adults after intake of five different beverages containing bilberry (European blueberry), blackcurrant, beetroot, mango and rose hip, respectively; all drinks were enriched with the same composition of fermented oatmeal and probiotics. The control was a glucose drink. The profile and content of the polyphenols in the different beverages were determined by HPLC-DAD analysis. The antioxidative capacity of the different beverages were measured by TEAC and DPPH assays.
Beverages containing bilberry, blackcurrant, mango or rose hip significantly attenuated the early postprandial insulin response (0–90 min), but showed no effect on glucose response. Drinks with bilberry or rose hip reduced the insulin response from the very early phase (0–30 min), and had significantly lower insulin index compared with the control. The efficiency of the bilberry and rose hip to decrease early postprandial insulin responses correlated with higher phenolic contents.
Supplements with bilberry, blackcurrant, mango or rose hip in the tested probiotic and oatmeal enriched beverage attenuated early-phase insulin response, but had no effect on the postprandial glycemic response. The improved ability of bilberry and rose hip to lower the very early phase of insulin response seems to be due to a higher phenolic content.
- Rose hip
- Postprandial insulin response
Postprandial hyperglycemia contributes to the development of cardiovascular diseases and type 2 diabetes [1, 2]; both diseases lay burden on the healthcare systems, globally . Postprandial hyperglycemia is a condition that can be improved through lifestyle and diet modifications. In functional food research, dietary polyphenols have shown potential to improve the postprandial glucose and insulin responses and promote well-being via several postulated underlying mechanisms: 1) inhibition of carbohydrate digestion and the subsequent glucose absorption, 2) stimulation of insulin secretion from pancreatic β-cells, 3) modulation of hepatic glucose output, 4) activation of insulin receptors and glucose uptake in insulin-sensitive tissues, and 5) modulation of intracellular signaling pathways and gene expression [4–6].
Fruits, berries, vegetables, tea and coffee are the common sources of dietary polyphenols . Decreased postprandial blood glucose and insulin responses have been reported in healthy adults after consumption of freeze-dried fruits (apple peel, blackberry, blackcurrant and strawberry) with green tea , beetroot juice , and blackcurrants and lingonberries . In healthy adults, an attenuated postprandial insulin response, but not glucose response was also reported in some studies with extract of baobab fruit  and berries . Similar effects were observed in obese and insulin-resistant male volunteers after intake of black tea, but not after intake of beetroot juice . Although the polyphenol-rich fruits and vegetables have showed improving effects on postprandial glycemic and/or insulin responses, the efficacy of the dietary polyphenols in improving postprandial glucose and insulin responses seems to be influenced by multiple factors such as source of polyphenols, dose and sort of polyphenols. For example, the postprandial response was more efficiently decreased after consumption of blackcurrant than of lingonberries . It was speculated that the difference in polyphenol compositions between the two berries could be the contributing factor. However, in another study performed by the same group, no correlation could be found between the insulin lowering effect and the polyphenol composition of the berries .
In a previous study , we observed that intake of a drink containing oatmeal fermented by the probiotic strain Lactobacillus plantarum 299v and supplemented with bilberry (European blueberry) induced a lower postprandial insulin response compared with the white bread control. The lowered acute insulin demand was more profound with higher dose of bilberries. In addition, a corresponding drink supplemented with rose hip decreased the insulin response to some extent, however, not to a statistically significant level. Thus, it is important to clarify the relationship between dietary polyphenols and insulin response.
In the present study, we hypothesized that polyphenol rich beverages enriched with fruits (bilberry, blackcurrant, rose hip and mango) and vegetable (beetroot) can attenuate postprandial glycemic and insulin responses. The presence of a probiotic strain with polyphenol splitting ability in the drink may enhance the physiological availability of the phenolics . The acute postprandial glycemic and insulin responses as well as the polyphenol content and antioxidative capacity of the tested beverages were measured. The relation between the polyphenol content and the postprandial glycemic and insulin responses were examined with multivariate data analysis.
Study design and participants
The study was a randomized, controlled, crossover study with the aim to investigate and compare the postprandial glycemic and insulin responses after consuming five different probiotic fruit or vegetable beverages. Twelve healthy young adults, 6 men and 6 women (median age 23.5 years with interquartile range [IQR] 23–29.5 years) with body mass index (BMI) 24.3 ± 2.4 kg/m2 (mean ± SD) were recruited in the study. The inclusion criteria were healthy adult individuals (18–65 years) with no medication, no diagnosed allergy, and having BMI between 20 and 30 kg/m2 with a stable body weight (less than 5% weight change in the last three months before the inclusion).
The study was performed at the clinical research center at Skåne University Hospital (Lund, Sweden) and was completed within 6 weeks. Every participant visited the study center once a week (~ 3 h per visit; about every 7th day). The evening (9–10 pm) before each test, the participants were asked to eat a standardized meal consisting of two pieces of white bread and were thereafter only allowed to drink a small amount of water. On the test day, venous blood from the left arm was sampled and within the following 15 min participants were given one of the five test products or the reference drink, in a randomized order. A randomized table with weekly intervention for each individual was generated before the start of the study using an online random number generator (https://www.random.org). Thereafter, 3 and 3.5 ml of blood samples were taken at 15, 30, 45, 60, 90 and 120 min to analyze postprandial glucose and insulin responses, respectively. The beverage was served from newly opened packages.
The test products with the trade name ProViva® were provided by ProViva AB (Solna, Sweden). It is a fruit drink containing fermented oatmeal and live Lactobacillus plantarum 299v (DSM 9843; Probi AB, Lund, Sweden). The test products were supplemented with different fruits or vegetables: 1) 10% bilberry (Bilberry), 2) 25% blackcurrant (Blackcurrant), 3) 15% beetroot (Beetroot), 4) 6.5% mango (Mango), and 5) 14% rose hip (Rose hip). The amount of the beverages was standardized to contain 30 g of the available carbohydrates. The amount of the test products served to the participants were: Bilberry, 244 g; Blackcurrant, 262 g; Beetroot, 272 g; Mango, 288 g; and Rose hip 285 g. The reference glucose drink was prepared by dissolving 30 g of the glucose in 270 g of water. To note, we also included another control drink based on only fermented oatmeal with added sugar which was later excluded for analysis when we realized that the added sugar was not in correct amount.
Analyses of blood samples
Venous blood samples were taken through a venous catheter in the morning between 09:00 and 12:00 h after fasting for 10 h. Whole blood were drained into 5 ml of serum and plasma separation tubes. Plasma glucose and serum insulin were analyzed by standard methods at the Department of Clinical Chemistry, Skåne University Hospital, Lund, Sweden.
Viable count of lactobacilli
Samples taken from the five test products were serially diluted, and 100 μl from each dilution were plated on MRS agar and incubated anaerobically for 24–72 h at 37 °C prior to counting of colony forming units (CFU).
Sample preparation for analysis of phenolic compounds and antioxidant capacity determination
The five test beverages were centrifuged for 10 min. The supernatant was then filtrated through Teflon filter (0.2 μm) (VWR International, West Chester, PA, USA) prior to the analysis without further clean up.
Analysis of phenolic compounds during shelf life
Batch and inter-day variations were investigated for the five test products when stored in unopened packages at + 4 °C. Two different batches of the four test products (Bilberry, Blackcurrant, Mango and Rose hip) were analyzed during the study time. The first batch was analyzed on the first day of the intervention and 4 weeks later (shelf life). The second batch was analyzed in the week 5 and 6 (completion of the study). Three batches were analyzed for Beetroot. The first batch was analyzed on the first day of the intervention and 2 weeks later (shelf life). The second batch was analyzed in the week 3 and 5. The third batch was analyzed in week 4 and 6 of the study. Analysis of phenolic compounds in the five probiotic drinks was determined by HPLC-DAD method according to a previous work  with some modifications. Separation was carried out with porous-shell fused core Ascentis Express C18 analytical column (150 mm × 2.1 mm, 2.7 μm) from Supelco (Bellefonte, PA, USA). The mobile phases consisted of (A) water with 5% of formic acid, and (B) methanol with 5% of formic acid in a gradient elution analysis programmed as follows: 0 min, 5% (B); 0–5 min, 5% (B); 5–35 min, 40% (B); 35–40 min, 40% (B); with 10 min of post-time for column conditioning at a flow rate of 300 μl/min. The column temperature was set at 50 °C, the injection volume was 2 μl and the vial tray was held at 4 °C. Three wavelengths 280 nm, 350 nm and 520 nm were selected for identification of phenolic acids, flavonols and anthocyanins/betalains, respectively.
Total phenolic content
The total phenolic content of the test products was determined by the Folin-Ciocalteu (FC) assay . The volume of the reaction mixture was miniaturized to 1 ml. 10 μl of sample were mixed, to which 50 μl of undiluted Folin-Ciocalteu reagent was subsequently added. After 1 min, 150 μl of 2% (w/v) Na2CO3 and 790 μl of water were added. After 2 h of incubation at 25 °C, 300 μl of the mixture was transferred into a well of the microplate, the absorbance was measured at 760 nm in a microplate spectrophotometer reader (Multiskan GO, Thermo Fisher, Germering, Germany) and compared to a gallic acid calibration curve (0.025–2.000 mg/ml) elaborated in the same manner. Three different packages of each beverage were analyzed and each package was analyzed in triplicate. The total phenolic content was estimated as gallic acid equivalents (GAE), expressed as mg gallic acid/ml of test drink.
Total antioxidant capacity
Trolox equivalent antioxidant capacity (TEAC) assay and DPPH assay were used to determine the total antioxidant capacity.
The TEAC assay employed was described by Re et al.  with some modifications. ABTS radical cation (ABTS·+) was produced by reacting 7 mM ABTS with 2.45 mM potassium persulfate and allowing the mixture to stand in the dark at room temperature for 12–16 h before use. The aqueous ABTS·+ solution was diluted with 5 mM phosphate buffer (pH = 7.4) to an absorbance of 0.70 (± 0.02) at 734 nm. Ten microliters of test beverages (four different dilutions) were added to 1 ml of diluted ABTS·+ radical solution. After 50 min at 30 °C, 300 μl of the mixture were transferred into a well of the microplate, and the absorbance was measured at 734 nm in a microplate spectrophotometer reader (Thermo Fisher). Trolox was used as a reference standard and results were expressed as TEAC values (mmol Trolox/l of test beverage). These values were obtained from at least four different dilutions of each test product in the assay giving a linear response between 20 and 80% of the initial absorbance. Three different packages of each product were analyzed and each package was analyzed in triplicate.
The DPPH radical scavenging assay was used . Briefly, a solution was prepared by dissolving 23.5 mg of DPPH in 100 ml of methanol. This stock solution was further diluted with methanol 1:10. Both solutions were stored at 4 °C until use. Four different dilutions of each beverage were tested. 25 μl of these solutions were added to 975 μl of DPPH diluted solution to complete the final reaction medium (1 ml). After 4 h at room temperature, 300 μl of the mixture were transferred into a microplate well and the absorbance was measured at 516 nm in a microplate spectrophotometer reader (Multiskan GO, Thermo Fisher). DPPH-methanol solution was used as a reference sample. The DPPH concentration remaining in the reaction medium was calculated from a calibration curve. Three different packages of each beverage were analyzed and each package was analyzed in triplicate. The results are presented as DPPH radical inhibition (%).
Data treatment and statistical analysis
All univariate statistical analyses were conducted in RStudio Version 0.99.902 . The incremental areas under the curves (IAUCs) were calculated for blood glucose and serum insulin using the trapezoidal rule and ignoring the area below the baseline. Glycemic index (GI) and insulin index (II) were calculated from the IAUCs obtained after the intake of test products divided by the IAUCs obtained after intake of the reference glucose drink with each participant as his/her own control. GI and II were calculated for both 0–90 min and 0–120 min. In a few cases of hemolysis, missing data were substituted by mean values calculated from the same time point but different weeks. Three participants did not complete one test occasion each (one for mango, one for bilberry and one for blackcurrant) and were hence excluded from the data analysis of the corresponding group. Incremental blood glucose and serum insulin data were not normally distributed, thus Skillings-Mack test (equivalent to Friedman test but with the possibility to handle missing data)  was used to detect differences between the six beverage groups. When significant differences were detected, Conover post hoc test was performed for pairwise comparisons with false discovery rate (FDR) P-value adjustment. Comparisons of glycemic and insulin indices were performed using Wilcoxon signed rank test and P values were corrected for multiple comparisons. Multivariate data analyses were performed with SIMCA-P+ 12.0.1 (Umetrics, Umeå, Sweden). P < 0.05 was considered statistically significant.
The study was approved by the Ethics Committee of the Faculty of Medicine at Lund University, Sweden (Dnr 2014/435).
One participant discontinued due to personal reasons after two test occasions, and was removed from the study. Thus the study is based on eleven participants.
The lactobacilli counts in the five probiotic drinks were stable during the storage period, and between the different batches (3–5 × 107 CFU/ml).
Incremental area under two-hour blood glucose response curve
Glucose (n = 11)
Bilberry (n = 10)
Blackcurrant (n = 10)
Beetroot (n = 11)
Mango (n = 10)
Rose hip (n = 11)
Incremental area under two-hour serum insulin response curve
IAUC(0–15 min) (nmol min/L)
IAUC(0–30 min) (nmol min/L)
IAUC(0–45 min) (nmol min/L)
IAUC(0–60 min) (nmol min/L)
IAUC(0–90 min) (nmol min/L)
IAUC(0–120 min) (nmol min/L)
Glucose (n = 11)
Bilberry (n = 10)
Blackcurrant (n = 10)
Beetroot (n = 11)
Mango (n = 10)
Rose hip (n = 11)
Glycemic and insulin indices
Glycemic and insulin indices
Glycemic index (0–90 min) (%)
Glycemic index (0–120 min) (%)
Insulin index (0–90 min) (%)
Insulin index (0–120 min) (%)
Glucose (n = 11)
Bilberry (n = 10)
Blackcurrant (n = 10)
Beetroot (n = 11)
Mango (n = 10)
Rose hip (n = 11)
Quantification of polyphenol contents by HPLC
Total phenolic compounds (280 nm) (mAU*min)
Total flavonols (350 nm) (mAU*min)
Total anthocyanins (520 nm) (mAU*min)
Quantification of phenolic content and total antioxidant capacity
FC assay (mg gallic acid/ml drink)
TEAC assay (mmol trolox/l)
DPPH scavenging activity (%) (dilution factor)
0.41 ± 0.03
16.38 ± 0.68
74.2 ± 3.2 (4)
0.61 ± 0.04
45.55 ± 2.0
41.2 ± 1.8 (100)
0.4 ± 0.01
11.22 ± 0.94
54.2 ± 1.4 (4)
0.18 ± 0.03
8.48 ± 0.39
52.7 ± 1.6 (4)
1.37 ± 0.22
137.9 ± 13.84
76.9 ± 3.0 (100)
Multivariate data analysis with PCA and OPLS-DA
Consumption of the polyphenol rich probiotic fruit and vegetable beverages did not affect postprandial glycemic responses, but the four fruit drinks supplemented with bilberry, blackcurrant, mango and rose hip significantly attenuated the insulin response in the early postprandial period (0–90 min).
Among the four fruit drinks, Bilberry showed the most profound insulin lowering effect at the 30 min postprandial and this effect was maintained throughout the early postprandial period. Rose hip showed similar efficiency in attenuating postprandial insulin response. Except for the postprandial period 0–60 min, Rose hip led to a decreased insulin response during the 30, 45 and 90 min of postprandial period. GI calculated at 90 and 120 min postprandial were not significantly different between the groups. However, Bilberry and Rose hip had significantly lower II compared with Glucose during both time periods (Table 3). These results from Bilberry and Rose hip are in agreement with our previous study , where we found that the bilberry drink attenuated postprandial insulin response in two separate studies and the same rose hip drink showed an insulin attenuating tendency. In addition, in the present study, Bilberry and Rose hip showed higher efficiencies in lowering the early phase insulin responses in comparison to the other test products. This was linked to their higher levels of the phenolic contents (Fig. 4). The different efficiencies in improving postprandial responses have earlier been observed between blackcurrants and lingonberries that containing different subclasses of polyphenols .
In the present study, Blackcurrant also led to a reduced early phase postprandial insulin response with a moderate rate compared to Bilberry and Rose hip. At the same time, Bilberry had highest amounts of phenolics, followed by the Blackcurrant (Table 4). Anthocyanins account for the major polyphenols in bilberries . It has been reported that consumption of a bilberry extract containing 36% (w/w) anthocyanins, reduced both postprandial glycemic and insulin responses in the individuals with type 2 diabetes . Furthermore, anthocyanins have been reported to be capable of modulating insulin and AMP-activated protein kinase (AMPK) signaling pathways [24, 25]. Thus, a lower level of anthocyanins in Blackcurrant may have contributed to the different efficacies in reducing insulin response. On the other hand, the observed effect from Rose hip indicates that anthocyanins could not be the sole bioactive compound accounting for the attenuated insulin response. Since the seeds were removed from the rose hip fruits, Rose hip drink did not contain any anthocyanins. On the other hand, Rose hip had the highest amount of total phenolic content. It should be noted that FC assay reagent is nonspecific to phenolic compound, instead it measures the total antioxidant capacity. Therefore, high amount of vitamin C and carotenoids in Rose hip [26, 27] could have contributed to the observed highest antioxidant capacity. The highest antioxidant capacity of Rose hip was also confirmed by the TEAC and DPPH assays. Rose hips have been used in traditional medicine for treating multiple illnesses . Consumption of the rose hip extract significantly reduced hyperglycemia in diabetic rats. It was speculated that the antioxidant property of the rose hip extract led to a reduction in the oxidative stress, which helped preserving the pancreatic β-cell integrity and finally led to insulinotrophic action . In a recent study in vitro, rose hip extract enhanced the pancreatic β-cell proliferation . In an animal study, it was reported that intake of rose hip extract led to increased insulin sensitivity via downregulation of hepatic lipogenesis . Although the bioactive compounds in rose hip contributing to the observed effects were not identified, these findings suggest that rose hip could have multiple mechanisms of action leading to an improved insulin response.
Interestingly, despite the lowest values determined for total phenolic content, total flavonols and total antioxidant capacity in Mango we observed a decreased postprandial insulin response at 90 min. It has been reported that a major phenolic compound in mango, mangiferin  could improve glucose and insulin profiles in high fat fed mice . Also, other bioactive compounds such as carotenoids, vitamin C and dietary fiber in mango may affect the blood glucose and insulin metabolism . On the contrary, the high polyphenol content in Beetroot was not associated with such a beneficial effect. Again, this indicates that the polyphenol content or antioxidant capacity itself could not be directly linked to the insulin attenuating effects of the present test products. To note, Beetroot had the second highest value of anthocyanin content, which should be from the betalains (pigment compound of beetroot) sharing structural similarities with anthocyanins. Although the retention times of the peaks from Beetroot were different from those of Bilberry and Blackcurrant, we could not distinguish between anthocyanin and betalain with the current HPLC analysis settings due to lack of standard and subsequent mass spectrometry analysis for identification. A degradation product of betalain, neobetanin was associated with a reduced early phase postprandial (0–60 min) insulin response . However, in the present study we did not observe beneficial effects from Beetroot. We postulated that the postprandial glycemic and insulin improving effects could be linked to the polyphenol content. The high efficiency of Bilberry and Rose hip in attenuating early postprandial insulin responses were correlated with higher phenolic contents. However, phenolic levels alone were not directly linked to the insulin lowering effect. It cannot be ruled out that specific phenolic components could serve as the contributing factors for the observed insulin attenuating effect in the four fruit supplemented test products. Moreover, other bioactive compounds present in the test products may have contributed in a synergistic manner when decreasing insulin demand.
There are limitations in the current study that could be improved in the future research. We intended to investigate and compare the effects of test products with a baseline product containing only fermented oatmeal besides the glucose control group. Unfortunately, we had to exclude the fermented oatmeal group from the data analysis due to improper carbohydrate compensation, and could not assess the impact of probiotic fermented oatmeal per se. Although not evaluated in the current study, beneficial effects of probiotic bacteria in managing glycemic control have been demonstrated in multiple animal models and human studies [35, 36]. Further research efforts are needed to discover the underlying mechanisms.
Consistent with the previous study , we found an inconsistency between the early glycemic and the insulin responses. The intake of test products containing bilberry, rose hip, blackcurrant or mango did not affect the postprandial glycemic response, but attenuated early stage postprandial (0–90 min) insulin responses. The higher efficiency of bilberry and rose hip drinks in lowering insulin responses was associated with amounts of phenolics. The health-related relevance of our findings is that consumption of food products that induce a lower insulin response may enhance insulin sensitivity.
We thank the clinical trial unit at Skåne Univeristy Hospital for their assistance with collecting samples and Ms. Eleonor Gautier for her enthusiastic support with statistical analyses as part of her internship at ProViva AB. We also thank Prof. Göran Molin for proofreading and valuable feedbacks.
We would like to thank TvärLivsprogrammet and Vinnova for the financial support.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
JX analyzed the glucose and insulin responses data and was a major contributor in drafting the manuscript. TJ, MP, ÅH, MA, ILA, CT and YG participated in the design of the study and statistical analyses. MP conducted polyphenol analysis and PS performed multivariate data analysis. All authors contributed to the writing and revising of the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The study was approved by the Ethics Committee of the Faculty of Medicine at Lund University, Sweden (Dnr 2014/435), and all individuals gave written informed consent to participate in the study.
Consent for publication
The author MA is employed at ProViva AB and ILA is employed at Probi AB.
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