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Inhibition of Intestinal Cellular Glucose Uptake by Phenolics Extracted from Whole Wheat Grown at Different Locations.

1. Introduction

Diabetes mellitus has become an emerging global health problem. Currently, estimated 422 million adults are suffering from diabetes and that number will increase to 642 million by 2040 [1]. Type 2 diabetes is characterized by the body's insensitivity to insulin and is characterized by increased blood sugar levels [2]. In diabetic patients, the expression of intestinal glucose transporters has been reported to be 3- to 4-fold higher than healthy controls [3], and therefore, higher amount of glucose will be absorbed by these patients in a shorter period of time, leading to increased postprandial glycemia. Thus, an effective treatment option for diabetes and diabetes-related complications is to dampen or inhibit intestinal glucose transporters and/or glucose absorption.

Whole wheat is the main ingredient in a range of staple foods that form a part of a healthy diet [4]. Regular intake of whole grain products is associated with a 20-30% reduction in the risk of type 2 diabetes [5, 6]. For example, whole wheat breads generate lower glycemic indices than white bread [7], which is in part attributed to polyphenols found in the bran fraction of whole wheat [8]. These polyphenols are known to be efficient in lowering blood glucose levels [9]; however, the mechanisms remain largely undetermined [6]. Some plant bioactives inhibit intestinal glucose transporters [10, 11] causing a blunted glucose absorption [6, 7, 12].

Wheat genetics and growing environments play a critical role in influencing the accumulation of secondary plant metabolites [13], including polyphenols. The importance of the genotype is demonstrated by the fact that winter wheat varieties contain twice the levels of total phenolic acids than other genotypes [14]. The impact of the environment is very distinct on levels of free phenolic acids; for example, the levels of free phenolic acids in 26 wheat genotypes grown in Hungary in three consecutive crop years were largely influenced by the effect of environment. On the other hand, levels of bound phenolic acids were stable throughout the growing seasons and were mostly determined by genetics [15].

In earlier studies under strictly controlled growth conditions, we had observed strong positive correlations between growing temperatures, levels of phenolic acids, and the inhibition of glucose uptake into Caco-2 cell monolayers exhibited by extracts from whole wheat (unpublished data). Here, we investigated if such correlations can be observed for wheat grown under field conditions.

2. Materials and Methods

2.1. Wheat Genotypes. Eight western Canadian wheat genotypes (Triticum spp.), representing different commercial classes with different qualities, including AC Corrine, AC Barrie, AC Crystal and Carberry, Snowbird, AC Andrew (Triticum aestivum L.), AC Navigator and Strongfield durum wheat grains (Triticum turgidum L. var. durum). These eight genotypes were grown at three locations over two consecutive crop years (2010 and 2011).

2.2. Locations. Three locations were selected to represent the wheat growing conditions of the Canadian Prairies. These were the Cereal Grain Research Centers of the Lethbridge (Alberta (AB)), Indian Head (Saskatchewan (SK)), and Portage la Prairie (Manitoba (MB)).

Environmental data conditions were obtained from Statistics Canada [16]. Location characteristics and soil composition data were obtained from Agriculture and Agri-Food Canada [17]. The mean temperature was lower in 2010 compared to 2011 across all locations, whereas total precipitation was higher in 2010 compared to 2011 across all locations.

2.3. Materials. Phenolic acids standards were purchased from Sigma-Aldrich (Milwaukee, Wisconsin, USA). All acids and organic solvents were obtained from Fisher Scientific (Whitby, Ontario, Canada). All chemicals used were of analytical grade.

2.4. Preparation of Free and Bound Phenolic Acid Extracts. The whole wheat samples were prepared as explained in a previous report [18]. Briefly, they were milled and passed through a 0.5 mm sieve screen using 14,000 rpm. The fine flour from each sample was stored at -20[degrees]C in the dark until further processing. Free and bound phenolic acid extractions were performed using liquid-liquid extraction and alkaline hydrolysis steps [19] as described before [18]. These extracts of free or bond phenolic acids were used in the cell culture experiments without further purification in order to keep sample degradation minimum and to mimic composition in the intestinal tract. It is expected that these extracts contain some nonpolar compounds other than the phenolic acids. It is expected that the amount of these compounds in the free phenolic extracts is low and would not interfere with the analysis of the glucose inhibition. However, it can be expected that hydrolysis products of a variety of cell wall polysaccharides in the fiber fraction may be present in the bound phenolic extracts and that these compounds could bind a fraction of the phenolics to render them inactive in the inhibition assays [18].

2.5. HPLC-PDA Analysis of Free and Bound Extracts. Phenolic acids of the free and bound fractions were identified by a reverse-phased performance liquid chromatography system (Waters 2695, Milford, MA, USA) equipped with a photodiode array detector (PDA) (Waters 996) and autosampler (717 plus, Waters, Milford, MA, USA) as described by Shamloo et al. [18].

2.6. Glucose Uptake Inhibition Activity Assays

2.6.1. Inhibition of Glucose Uptake into Caco-2E Enterocyte Monolayers. The ability of wheat phenolic acid extracts to reduce cellular glucose uptake was investigated through the modified method described by Kwon et al. [10]. The model of confluent Caco-2 cell monolayers grown on 96-well plates was chosen because these previous studies indicated low bioavailability of dietary phenols; therefore, the main inhibitory action was expected to affect apical rather than basolateral transporters, which is captured by the chosen model.

To initiate the experiment, the confluent Caco-2 cell monolayers were rinsed 3 times with PBS and incubated in preincubation buffer (HEPES buffer with 5 mM glucose) for 30 minutes at 37[degrees]C. Transport experiments were initiated by replacing the buffer with 100 [micro]L HEPES buffer (pH 7.4 and glucose free), containing [[sup.3]H] 2-deoxyglucose (5mM in glucose-free HEPES buffer) and wheat extracts. The cells were incubated at room temperature for 15 minutes in the dark, and the transport experiment was stopped by adding 100 [micro]L of ice-cold preincubation buffer immediately after removal of transport buffer. Cells were washed with 100 [micro]L of preincubation buffer and then lysed with 60 [micro]L lysis buffer (20 mg SDS in 1 mL 0.2 M NaOH) and incubated at room temperature for 1 hour. 45 [micro]L aliquot of cell lysates was added to 5 ml scintillation cocktail, and the [[sup.3]H] 2-deoxyglucose concentration was quantified by scintillation spectrometry. Protein content of the remaining cell lysates was determined using DC Protein Assay Kit (Bio-Rad, USA). The glucose uptake into early passages of Caco-2 cells (Caco-2E, passages 35-47) was expressed as counts per minute beta (cpma) per mg protein. Viability of cells and validity of the assay were demonstrated by the linearity of the uptake rates of glucose in the absence of wheat extracts.

2.7. Statistical Analysis. All cell culture data represent means of three independent experiments (three sets on different days), where three parallel transport experiments using three cell culture wells were performed. All data were analyzed using oneway analysis of variance (ANOVA) on a Minitab 14 Statistical Software (Minitab Inc., State college, PA, USA). Sample means were compared using Tukey HSD method, and significant differences were considered when P < 0.05. Correlations between wheat extract phenolic acid and flavonoid contents and inhibition capacity were done by Pearson's correlation test.

3. Results and Discussion

3.1. Genotype and Environmental Variation Influence on Phenolic Acids Levels. Phenolic acid (PA) contents in the free and bound fractions of the eight wheat varieties grown at different locations are listed in Tables 1 and 2, respectively. Free PA contents across all wheat genotypes grown during 2010 and 2011 ranged from 4.56 microgram per gram of dry matter ([micro]g/g x dm) in Strongfield grown in Manitoba (MB) in 2010 to 40.98 [micro]g/g x dm in AC Barrie grown in Alberta (AB) in 2011. Contents of free PA were lower in 2010 than in 2011 for all genotypes except for AC Andrew (Table 1). Generally, wheat grown in AB in 2011 produced higher amounts of free PA; specifically, AC Barrie grown in AB contained the highest amount of free PA (40.98 [micro]g/g x dm) of all genotypes.

Bound PA levels of all genotypes grown during 2010 and 2011 ranged from 366.1 [micro]g/g dm (AC Navigator, MB, 2010) to 690.12 [micro]g/g dm (AC Crystal, AB, 2010). AC Crystal, AC Corrine, and AC Navigator (641.6 [micro]g/gMm) grown in AB in 2010 and 2011 contained the highest amounts of bound PA, respectively.

Similar to previously reported data, the contribution of the genotype [20] on free phenolic acid levels in whole wheat is surpassed by the influence of environmental conditions [15,21] reflected by the yearly variance in the presented data.

Bound phenolic acid levels were also more influenced by environment and less by genotype. However, bound PA in some genotypes (AC Andrew and Snowbird) showed lower sensitivity to environmental shifts being more stable in composition. This was in line with the results of Mpofu et al. [15]. The values reported for whole wheat bread correspond well with our data, where the highest level of total bound phenolic acids was 690 [micro]g/g.

3.2. Effect of Free and Bound Phenolic Acids on Glucose Uptake. Free phenolic acid extracts of all whole wheat varieties grown at MB, SK, and AB over 2010 and 2011 inhibited glucose uptake in confluent Caco-2E monolayers as shown in Figures 1(a)-1(h) and Figures 2(a)-2(h), respectively. For the 2010 crop year, extracts from AC Barrie grown in AB showed the highest inhibition (46.18%) (Figure 1(g)), followed by Snowbird grown in MB (45.12%) (Figure 1(c)). For the 2011 crop year, again extracts from AC Barrie grown in AB showed the highest inhibitory potency (56.32%) (Figure 2(g)), followed by AC Corrine grown in MB (48.62%) (Figure 2(a)). The free phenolic acid content of all wheat genotypes positively correlated with the degree of inhibition of glucose uptake, as shown in Figure 3(a) ([R.sup.2] = 0.903; P < 0.05).

Bound phenolic acid extracts of all wheat genotypes grown in MB, SK, and AB in 2010 and 2011 also inhibited the uptake of glucose in confluent Caco-2E monolayers, as shown in Figures 4(a)-4(h) and Figures 5(a)-5(h), respectively. The highest inhibitory potencies (21.22% and 16.78%) were observed for the extracts from AC Crystal and AC Navigator grown in AB in 2010 (Figures 4(f) and 4(b)), respectively. The degree of glucose uptake inhibitions positively correlated with the content of bound phenolic acids, as depicted in Figure 3(b) ([R.sup.2] = 0.891; P < 0.05).

Extracts of free and bound phenolic acids inhibited glucose uptake in this Caco-2 model; however, the potency of the free phenolic acid extracts exceeded the potency of the extracts of bound phenolic acids. Free phenolic acids are fully bioaccessible, and some are bioavailable in the small intestine [22], while the bound phenolics are bound to the molecules of the fiber fraction and not fully bioaccessible. This might be reflected in our model, where we used extracts low in interfering fiber components in the free phenolic fraction where they exhibited their full potency. In contrast, the presence of hydrolyzed fiber constituents in the bound fraction could explain the reduced potency observed for these extracts. However, phenolic acids from both fractions can contribute to a blunting of cellular glucose uptake into small intestinal cells and therefore could contribute to the dampening of postprandial hyperglycemia.

The concentrations of total flavonoids in the glucose inhibition assays ranged between 0.5 and 2 [micro]g/ml for free phenolics and 35-50 [micro]g/ml for bound phenolics. Assuming an average molecular mass of 200 g/mol, the highest concentration of total free phenolic acids would have been 10 [micro]mol/l and from bound phenolic acid 250 [micro]mol/l.

Assuming a stomach volume of one liter, the intake of 2 mg free phenolic acid or 35 mg of bound phenolic acids would achieve the concentrations used in our glucose inhibition assays. The most abundant compound in both free and bound phenolic acid extracts in wheat is ferulic acid, and it has been suggested that a daily dietary uptake of about 77 mg ferulic acid may suppress hyperglycemia [22]. Wheat bran is one of the main food sources of ferulic acid (5 mg/g) [23]. However, the daily intake of (free or bound) ferulic acid largely depends on the selection of cereal products. It had been estimated that whole wheat and refined wheat bread contain 330.1 [micro]g/g and 25.3 [micro]g/g of ferulic acid, respectively [21]. Considering the reported amounts of individual and whole phenolic acid in whole wheat, it is reasonable to assume that the human diet contains sufficient amounts to effectively inhibit glucose absorption. This might be reflected in the lower glycemic indices reported for whole wheat products compared to refined wheat products. As a consequence the consumption of whole wheat over refined products should be encouraged considering that the blood glucose blunt efficacy is largely lost through refinement.

4. Conclusions

The wheat genotype and growing conditions determine the content of free and bound phenolic acids. Levels of free and bound phenolic acids in extracts positively correlate with the inhibition of glucose uptake in a model of intestinal absorption.

https://doi.org/10.1155/2018/5421714

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors' Contributions

Maryam Shamloo was the principal manuscript author and was responsible for data collection and conducting all the laboratory analysis including cell culture experiments and statistical analysis. Peter J. H. Jones was responsible for seeking financial support and contributed to the preparation of the manuscript. Peter K. Eck was responsible for seeking financial support and the conception and design of the cell culture analysis and contributed to the preparation of the manuscript and did the final edits. All authors reviewed the final version of the manuscript.

Acknowledgments

This research was funded in part by Manitoba Science and Technology International Collaboration Fund (STIC) and Food Advancement through Science and Training (FAST) program. The authors would like to thank Drs. Susan Arntfield and Nancy Ames for their assistance with finding the wheat samples through Cereal Research Centre, Canadian Wheat Board and Agriculture and Agri-Food Canada, and Dennis Labossiere, Tracy Exley, Kim Kuzminski, and Camille Rhymer for their technical assistance.

References

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[16] Environment Canada, Historical Data, 2017, http://climate. weather.gc.ca/historical_data/search_historic_data_e.html.

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[22] L. N. Malunga, P. Eck, and T. Beta, "Inhibition of intestinal alpha-glucosidase and glucose absorption by feruloylated arabinoxylan mono- and oligosaccharides from corn bran and wheat aleurone," Journal of Nutrition and Metabolism, vol. 2016, Article ID 1932532, 9 pages, 2016.

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Maryam Shamloo (iD), (1,2) Peter J. H. Jones, (1,2) and Peter K. Eck (iD)(3)

(1) Richardson Centre for Functional Foods and Nutraceuticals, University of Manitoba, Winnipeg, MB, Canada R3T 2N2

(2) Department of Food Science, University of Manitoba, Winnipeg, MB, Canada R3T 2N2

(3) Department of Human Nutritional Sciences, University of Manitoba, W569 Duff Roblin Building, 190 Dysart Road, Winnipeg, MB, Canada R3T 2N2

Correspondence should be addressed to Peter K. Eck; peter.eck@umanitoba.ca

Received 7 November 2017; Accepted 28 December 2017; Published 18 March 2018

Academic Editor: Stan Kubow

Caption: FIGURE 1: Relative inhibition of the uptake of [3H] 2-deoxyglucose into CaCo-2 monolayers caused by extracts of free phenolic acids obtained from eight wheat genotypes (a-h) grown in MB, SK, and AB over 2010 crop year. (A,B,C) Different capital letter superscripts indicate significant differences (P < 0.05).

Caption: FIGURE 2: Relative inhibition of the uptake of [[sup.3]H] 2-deoxyglucose into CaCo-2 monolayers caused by extracts of free phenolic acids obtained from eight wheat genotypes (a-h) grown in MB, SK, and AB over 2011 crop year. (A,B,C) Different capital letter superscripts indicate significant differences (P < 0.05).

Caption: FIGURE 3: Correlation between the relative inhibition of glucose uptake into CaCo-2 monolayers and free phenolic acid (a) and bound phenolic acid (b) contents in extracts of eight wheat genotypes grown in MB, SK, and AB over 2011 crop year.

Caption: FIGURE 4: Relative inhibition of the uptake of [[sup.3]H] 2-deoxyglucose into CaCo-2 monolayers caused by extracts of bond phenolic acids obtained from eight wheat genotypes (a-h) grown in MB, SK, and AB over 2010 crop year. (A,B,C) Different capital letter superscripts indicate significant differences (P < 0.05).

Caption: FIGURE 5: Relative inhibition of the uptake of [[sup.3]H] 2-deoxyglucose into CaCo-2 monolayers caused by extracts of bond phenolic acids obtained from eight wheat genotypes (a-h) grown in MB, SK, and AB over 2011 crop year. (A,B,C) Different capital letter superscripts indicate significant differences (P < 0.05).
Table 1: Free phenolic acid contents (microgram per gram of dry
matter) in the whole grain of 8 wheat varieties grown in three
locations in 2010 and 2011 crop years.

Genotype        Year        Growing locations

                                   MB

AC Corrine      2010     13.93 [+ or -] 0.98 (A)
                2011     25.11 [+ or -] 2.92 (B)
AC Navigator    2010     11.19 [+ or -] 1.07 (A)
                2011     16.13 [+ or -] 1.81 (B)
Snowbird        2010     23.91 [+ or -] 1.73 (A)
                2011     23.98 [+ or -] 1.09 (A)
AC Andrew       2010     14.75 [+ or -] 1.60 (A)
                2011     14.34 [+ or -] 0.62 (A)
Carberry        2010     18.93 [+ or -] 3.2 (A)
                2011     16.72 [+ or -] 1.9 (A)
AC Crystal      2010     4.68 [+ or -] 0.63 (A)
                2011     24.03 [+ or -] 1.01 (B)
AC Barrie       2010     11.12 [+ or -] 1.29 (A)
                2011     18.51 [+ or -] 2.76 (B)
Strongfield     2010      4.56 [+ or -] 2.9 (A)
                2011     20.91 [+ or -] 1.87 (B)

Genotype        Year        Growing locations

                                   SK

AC Corrine      2010     11.56 [+ or -] 1.27 (A)
                2011     21.68 [+ or -] 2.65 (B)
AC Navigator    2010     11.14 [+ or -] 1.67 (A)
                2011     24.07 [+ or -] 2.94 (B)
Snowbird        2010     16.79 [+ or -] 2.90 (A)
                2011     20.28 [+ or -] 2.31 (A)
AC Andrew       2010     18.34 [+ or -] 1.01 (A)
                2011     13.81 [+ or -] 1.21 (B)
Carberry        2010     11.10 [+ or -] 0.29 (A)
                2011     11.15 [+ or -] 2.35 (A)
AC Crystal      2010     11.14 [+ or -] 2.85 (A)
                2011     11.42 [+ or -] 2.39 (A)
AC Barrie       2010     11.06 [+ or -] 0.93 (A)
                2011     18.92 [+ or -] 2.01 (B)
Strongfield     2010     11.03 [+ or -] 1.76 (A)
                2011     21.33 [+ or -] 0.98 (B)

Genotype        Year        Growing locations

                                   AB

AC Corrine      2010     11.08 [+ or -] 1.09 (A)
                2011     11.16 [+ or -] 1.82 (A)
AC Navigator    2010     11.10 [+ or -] 2.93 (A)
                2011     16.53 [+ or -] 2.87 (B)
Snowbird        2010     11.17 [+ or -] 2.43 (A)
                2011     21.79 [+ or -] 0.95 (B)
AC Andrew       2010     16.62 [+ or -] 0.09 (A)
                2011     11.24 [+ or -] 1.01 (B)
Carberry        2010     16.31 [+ or -] 2.07 (A)
                2011     16.55 [+ or -] 1.98 (B)
AC Crystal      2010     11.49 [+ or -] 0.93 (A)
                2011     21.43 [+ or -] 1.02 (B)
AC Barrie       2010     24.83 [+ or -] 2.87 (A)
                2011     40.98 [+ or -] 2.81 (B)
Strongfield     2010     20.34 [+ or -] 2.09 (A)
                2011     21.29 [+ or -] 2.76 (A)

Values are given as mean [+ or -] SD from duplicate determinations.
(A,B) Different superscript capital letters in the same column in the
same dependent variable indicate significant difference (P < 0.05). MB
= Manitoba; SK = Saskatchewan; AB = Alberta.

Table 2: Bound phenolic acid contents (microgram per gram of dry
matter) in the whole grain of 8 wheat varieties grown in three
locations in 2010 and 2011 crop years.

Genotype        Year        Growing locations

                                    MB

AC Corrine      2010     537.41 [+ or -] 5.23 (A)
                2011     519.54 [+ or -] 6.31 (B)
AC Navigator    2010     366.11 [+ or -] 5.03 (A)
                2011     522.78 [+ or -] 7.42 (B)
Snowbird        2010     471.71 [+ or -] 6.54 (A)
                2011     488.32 [+ or -] 7.30 (A)
AC Andrew       2010     492.97 [+ or -] 5.20 (A)
                2011     495.96 [+ or -] 4.82 (A)
Carberry        2010     421.35 [+ or -] 7.17 (A)
                2011     544.86 [+ or -] 8.43 (B)
AC Crystal      2010     481.24 [+ or -] 9.32 (A)
                2011     415.12 [+ or -] 6.82 (B)
AC Barrie       2010     560.98 [+ or -] 8.38 (A)
                2011     433.89 [+ or -] 5.16 (B)
Strongfield     2010     459.11 [+ or -] 6.32 (A)
                2011     458.68 [+ or -] 5.22 (A)

Genotype        Year        Growing locations

                                    SK

AC Corrine      2010     555.51 [+ or -] 5.44 (A)
                2011     489.23 [+ or -] 3.33 (B)
AC Navigator    2010     463.47 [+ or -] 4.65 (A)
                2011     422.61 [+ or -] 3.98 (B)
Snowbird        2010     450.01 [+ or -] 5.87 (A)
                2011     487.24 [+ or -] 2.63 (A)
AC Andrew       2010     521.54 [+ or -] 4.93 (A)
                2011     461.28 [+ or -] 5.75 (B)
Carberry        2010     551.45 [+ or -] 5.43 (A)
                2011     472.96 [+ or -] 4.54 (B)
AC Crystal      2010     509.15 [+ or -] 6.38 (A)
                2011    545.49 [+ or -] 10.43 (B)
AC Barrie       2010     417.86 [+ or -] 7.77 (A)
                2011     547.56 [+ or -] 6.09 (B)
Strongfield     2010     430.32 [+ or -] 5.98 (A)
                2011     509.01 [+ or -] 8.89 (B)

Genotype        Year        Growing locations

                                    AB

AC Corrine      2010     607.17 [+ or -] 9.19 (A)
                2011     582.34 [+ or -] 8.32 (B)
AC Navigator    2010     641.6 [+ or -] 9.03 (A)
                2011     467.28 [+ or -] 6.17 (B)
Snowbird        2010     528.61 [+ or -] 5.54 (A)
                2011     483.01 [+ or -] 4.59 (B)
AC Andrew       2010     486.34 [+ or -] 8.98 (A)
                2011     457.65 [+ or -] 6.46 (B)
Carberry        2010     600.87 [+ or -] 7.34 (A)
                2011     481.57 [+ or -] 8.22 (B)
AC Crystal      2010     690.12 [+ or -] 7.56 (A)
                2011     629.27 [+ or -] 6.41 (B)
AC Barrie       2010     414.11 [+ or -] 5.89 (A)
                2011     528.81 [+ or -] 7.94 (B)
Strongfield     2010     566.96 [+ or -] 6.89 (A)
                2011     525.81 [+ or -] 3.37 (A)

Values are given as mean [+ or -] SD from duplicate determinations.
(A,B) Different superscript capital letters in the same column in the
same dependent variable indicate significant difference (P < 0.05). MB
= Manitoba; SK = Saskatchewan; AB = Alberta.
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Title Annotation:Research Article
Author:Shamloo, Maryam; Jones, Peter J.H.; Eck, Peter K.
Publication:Journal of Nutrition and Metabolism
Date:Jan 1, 2018
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