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Diabetologia

, Volume 46, Issue 5, pp 659–665 | Cite as

Prior short-term consumption of resistant starch enhances postprandial insulin sensitivity in healthy subjects

  • M. D. Robertson
  • J. M. Currie
  • L. M. Morgan
  • D. P. Jewell
  • K. N. Frayn
Article

Abstract

Aims/hypothesis

Diets rich in insoluble-fibre are linked to a reduced risk of both diabetes and cardiovascular disease; however, the mechanism of action remains unclear. The aim of this study was to assess whether acute changes in the insoluble-fibre (resistant starch) content of the diet would have effects on postprandial carbohydrate and lipid handling.

Methods

Ten healthy subjects consumed two identical, low-residue diets on separate occasions for 24 h (33% fat; <2 g dietary fibre). Of the diets one was supplemented with 60 g resistant starch (Novelose 260). On the following morning a fibre-free meal tolerance test (MTT) was carried out (59 g carbohydrate; 21 g fat; 2.1 kJ) and postprandial insulin sensitivity (SIORAL) assessed using a minimal model approach.

Results

Prior resistant starch consumption led to lower postprandial plasma glucose (p=0.037) and insulin (p=0.038) with a higher insulin sensitivity(44±7.5 vs 26±3.5×10−4 dl kg−1 min−1 per µUml−1; p=0.028) and C-peptide-to-insulin molar ratio (18.7±6.5 vs 9.7±0.69; p=0.017). There was no effect of resistant starch consumption on plasma triacylglycerol although non-esterified fatty acid and 3-hydroxybutyrate levels were suppressed 5 h after the meal tolerance test.

Conclusion

Prior acute consumption of a high-dose of resistant starch enhanced carbohydrate handling in the postprandial period the following day potentially due to the increased rate of colonic fermentation.

Keywords

Resistant starch dietary fibre short chain fatty acids glucagon-like peptide 1 postprandial insulin sensitivity 

Abbreviations

RS

resistant starch

RDS

rapidly digestible starch

MTT

meal tolerance test

SIORAL

insulin sensitivity

TG

triacylglycerol

3-OHB

3-hydroxybutyrate

GLP-1

glucagon-like peptide 1

GE

glucose effectiveness

VLDL

very low density lipoprotein

GI

glycaemic index

A reduction in insulin sensitivity has been linked to an increased risk of both Type 2 diabetes and cardiovascular disease [1]. Soluble fibre improves insulin sensitivity by increasing the viscosity of the stomach and small intestinal contents [2] and so impeding carbohydrate digestion and absorption [3]. Over time, the lower circulating insulin [4] levels lead to the up-regulation of both insulin receptors [5] and secondary signalling molecules resulting in increased tissue insulin sensitivity. The addition of a non-viscous, insoluble fibre to a meal has no acute effect on either postprandial glucose or insulin responses. Yet, in population studies it is insoluble-fibre and not viscous-fibre that has been shown to relate to protection from both cardiovascular disease and diabetes [6, 7, 8].

The mechanism of action of this insoluble, non-viscous fibre remains obscure. The increased insulin sensitivity associated with cereal fibre is often in context of "whole grain" consumption [9, 10]. However, in addition to fibre, unrefined grains contain biologically active components such as antioxidants, minerals and phytoestrogens [11] and so the benefits of fibre per se are less well-defined.

Resistant starch (RS) acts as an insoluble fibre and by definition is resistant to enzymatic digestion in the small intestine and is non-viscous. Like other insoluble fibres it is fermented in the colon by the microflora which release carbon dioxide, methane, hydrogen and metabolically active short chain fatty acids (primarily acetate, propionate and butyrate) which are utilized by the colonic epithelium and enter the portal circulation. In isolation, SCFA have been shown to have effects on adipose tissue lipolysis [12, 13], hepatic gluconeogenesis [14] and insulin secretion [15] although the physiological significance of these observations for insulin sensitivity following dietary fibre remains to be established.

In Europe, the daily intake of RS is low (3–5 g) [16]. However, with the recent development of high-RS flours which are process tolerant and improve food texture there is the potential within the food industry to develop "fibre-fortified" processed food products which could increase the daily intake of RS. Although the effects of RS intake on colon health are now well established [17], less is known about the potential impact this might have on glycaemic control and postprandial metabolism.

This aim of this study was to investigate the metabolic effects of a high intake of RS (60 g) taken over a 24-h period, when other nutrients have been controlled. Indices of insulin sensitivity were measured the following day when colonic fermentation of the undigested carbohydrate was predicted to be active.

Subjects and Methods

Subjects

Ten healthy subjects (six female) participated in this study. Pre-study fasting values for the subjects group are presented in Table 1. All subjects were healthy and none were currently taking any medication. All subjects gave written informed consent and the study was approved by the Oxfordshire Clinical Research Ethics Committee.
Table 1.

Baseline characteristics of subject group

Mean

Range

Age (yrs)

47.2

23–65

BMI (Kg/m2)

26.9

20.3–35.9

Body weight (kg)

78.3

51.9–107.4

Fat massa (%)

34.2

16.3–53.7

Lean massa (%)

65.7

46.2–83.6

Plasma TG (mmol/l)

1.2

0.7–2.0

Plasma Glucose (mmol/l)

5.2

4.5–6.1

Plasma Insulin (mU/l)

4.5

0.6–7.6

HOMA-IRb

1.0

0.1–1.8

aCalculated by electrical impedence (Bodystat 1500, Bodystat, Isle of Man, UK)

bHomeostatic Model Assessment

Study Design

The study was conducted in a single-blind crossover design. In order to standardize nutritional status, subjects consumed either a high-resistant starch diet for 24 h or a low resistant starch for 24 h before the study day. The basal diet was provided in a ready-to-eat form with 33% energy from fat, 24% from protein and 42% from carbohydrate with less than 2 g dietary fibre (Table 2). The high-resistant starch diet consisted of the basal diet supplemented with 100 g of high-amylose maize starch (60 g RS, 40 g RDS; Novelose 260, National Starch and Chemical, Manchester UK). The RS was split into four 25 g doses and mixed with jelly (Nestlé, Switzerland) to provide four portions of RS-jelly eaten at specified time-points during the day. The low-resistant starch diet consisted of the basal diet supplemented with 40 g waxy-maize starch (40 g RDS; Amioca, National Starch and Chemical) to match the digestible starch component of the Novelose 260. The dietary starch was split into four 10 g doses and mixed with jelly as above.
Table 2.

Example of 24-h diet provided to a male subject weighing 70 kg

Carbohydrate(g)

Fat(g)

Protein(g)

Energy(KJ)

Total Dietary Fibrea (g)

Breakfast (07:00)

Rice Krispies 50 g

33

0.5

3

595

0.75

Semi-skimmed milkb (568 ml)

25

8.5

17

1067

0

Jellyc portion (150 ml)

26.6

0

0

415

0 or 15

Lunch (12:00)

Omelette

8.8

44

27.4

2422

0

Ensured ×200 ml

40.4

9.8

12.5

1267

0

Jelly portion (150 ml)

26.6

0

0

415

0 or 15

Dinner (17:00)

Fish Bake

15

13

47

1691

1.2

Ensure ×200 ml

40.4

9.8

12.5

1267

0

Jelly portion (150 ml)

26.6

0

0

415

0 or 15

Supper (22:00)

Jelly portion (150 ml)

26.6

0

0

415

0 or 15

Totals (g)

272.6

85.6

119.4

10024

1.95 or 61.95

(% energy)

(42.4)

(33.6)

(24.0)

aCalculated by the AOAC method 991.43

b1 pint of milk was provided for use in cereal and in tea/coffee.

c600 ml of jelly made up to contain either 100 g Novelose 260 or 40 g Amioca, split into four equal portions.

dEnsure Plus (Abbott Laboratories, Kent, UK)

The energy content of the diet was estimated according to each subject's individual energy requirements, based on age, weight, height and sex [18]. A multiplication factor of 1.5 was used to correct for normal daily activity. Subjects were asked not to smoke or exercise during the dietary period.

The following morning an antecubital cannula was inserted under local anaesthetic (1% lignocaine). A standard fibre-free meal tolerance test (MTT) was administered as a 2.1 kJ chocolate drink (59 g carbohydrate, 21 g fat and 19 g protein) at time=0. Blood samples were taken every 10 min for 2 h after the meal and then every 30 min for the remaining 3 h.

Blood analysis

Whole blood for metabolite and insulin determination was collected into heparinized syringes (Sarstedt, Leicester, UK). Plasma glucose, triacylglycerol (TG) (Instrumentation Laboratory, Warrington, UK) and NEFA concentrations (Alpha Laboratories, Eastleigh, UK) were measured enzymatically using an IL Monarch automated analyzer. Plasma for 3-hydroxybutyrate (3-OHB) and lactate determination were deproteinized with 7% (wt/vol) perchloric acid and concentrations measured enzymatically. Metabolites were batch analyzed and showed an intra-assay variation of less than 2.5%. Insulin (Pharmacia & Upjohn, Milton Keynes, UK) and C-peptide levels (Linco, Miss., USA) were measured by radioimmunassay using commercially available kits. Blood for GLP-1 analysis was collected into potassium-EDTA containing 200 KIU aprotinin/ml (Bayer, Newbury, UK). GLP-1 was assayed on unextracted plasma by a double-antibody disequilibrium method [19]. The antiserum was specific for the C-terminal amidated form of GLP-1 cross-reacting 100% with GLP-(7–36 amide). The detection limit was 5 pmol/l. Lipoprotein fractions Sf>400 and Sf 20–400 were prepared by density gradient ultracentrifugation [20]. Ultracentrifugation was carried out at 202,000 g in a SW 40 Ti swinging bucket rotor (Beckman, High Wycombe, Bucks., UK) at 15°. TG concentrations in the lipoprotein fractions were measured enzymatically using an IL automated analyzer (IL, Warrington, UK). Short chain fatty acids were analyzed by gas-liquid chromatography. Heparinized plasma was de-proteinized with 16% metaphosphoric acid and denatured for 30 min at 60oC before splitless injection of 1µl of the supernatant onto a FFAP column (Agilent Technologies) [21]. Isovaleric acid was used as the internal standard. All samples with the exception of plasma lipoproteins were frozen at −20°C until batch analysis.

Insulin sensitivity

Insulin sensitivity (SIORAL) was assessed in the postprandial state using a recently described minimal model index [22]. The model provides an estimate of SIORAL following carbohydrate ingestion in each individual and following each meal. The insulin sensitivity calculated by this method utilizes cumulative integrated AUC measures of both insulin and glucose concentration assuming that the total glucose disposal from the system after 120 min (or when basal values have been reached) equals the glucose entering the peripheral circulation allowing for first pass extraction by the liver. Insulin-independent mechanisms also contribute to total glucose disposal and a constant rate of glucose effectiveness (GE) has been assumed for the whole time interval.
$${\rm{S}}_{{\rm{I}}({\rm{oral}})} = {\rm{fxD}}_{{\rm{oral}}} {{{{{\rm{AUC}}[\Delta {\rm{g}}({\rm{t}})/{\rm{g}}({\rm{t}})]} \over {{\rm{AUC}}[\Delta {\rm{g}}({\rm{t}})]}} - {\rm{GE}} \times {\rm{AUC}}[\Delta {\rm{g}}({\rm{t}})/{\rm{g}}({\rm{t}})]} \over {{\rm{AUC }}[\Delta {\rm{i}}({\rm{t}})]}}$$
(1)
where AUC denotes the area under the curve calculated from time zero until the end of the test, GE=glucose effectiveness, which was fixed at 0.024 dl/kg·min [23], Doral is the dose of ingested carbohydrate per unit of body weight (mg/kg) and f is the fraction of ingested carbohydrate reaching the peripheral circulation as glucose. The test meals provided in our study contained a high proportion of glucose as the source of carbohydrate and so a nominal value for f of 0.8 was chosen for all subjects.

The incremental C-peptide to insulin ratio over the first 2 h of the study, an index of hepatic insulin extraction, was calculated with the trapezoid method.

Breath analysis

Samples of alveolar air were collected in the fasting state and hourly throughout the study using a modified Haldane-Priestley tube (Quintron GaSampler System, Milwaukee, Wis., USA). Duplicate samples of expired breath were analyzed using a GMI Breath Hydrogen analyzer (Renfrew, UK) and the results expressed as ppm H2.

Statistics

Time course data were analyzed by repeated measures ANOVA when normally distributed using SPSS (SPSS, Chicago, USA). AUC were calculated using the trapezoid method and summary measures were analyzed using non-parametric t-tests (Wilcoxon's test). Pearson correlations between variables were done following the high-RS diet only (n=10). A p value of less than 0.05 was considered statistically significant.

Results

Carbohydrate metabolism

The plasma glucose concentrations following an MTT preceded by both 24-h high- and low-RS diets are shown in Fig. 1. The glucose excursion was lower at all time-points following the high-RS diet with a reactive hypoglycaemia at 2 h. The plasma insulin concentrations followed a similar pattern although the peak was reached approximately 10 min later than with glucose. Postprandial insulin levels were lower following the high-RS diet. Plasma C-peptide concentrations however, did not show this effect (Fig. 2). Plasma GLP-1 during the MTT rose from a mean basal level of 11 pmol/l to reach a mean peak concentration of 42 pmol/l after 1 h. There was no effect of preceding diet on the plasma GLP-1 excursion (data not shown). Table 3 shows the markers of insulin sensitivity calculated from both fasting and postprandial data. There was no difference between the two diets in either basal insulin resistance or percent of beta-cell function when assessed using the HOMA model. However, postprandial insulin sensitivity assessed using the minimal model approach was increased following the high-RS diet compared to the low-RS diet with a mean increase of 98% (±48). The ratio of C-peptide to insulin concentration during the first 120 min of the study was also found to be higher following the high-RS diet. The between-subject value for SIoral correlated with both the insulin/C-peptide ratio (p=0.001, r=−0.665) and the C-peptide AUC (p<0.001, r=−0.744).
Fig. 1.

Mean (± SEM) plasma glucose concentration during a meal tolerance test when preceded by either 24 h on a high-RS (○) or low-RS (●) diet. n=10. Repeated measures ANOVA showed a significant effect of preceding diet (p=0.037)

Fig. 2A, B.

Mean (± SEM) plasma insulin and C-peptide concentrations during a meal tolerance test when preceded by either 24 h on a high-RS (○) or low-RS (●) diet. n=10. For insulin, repeated measures showed a significant effect of preceding diet (p=0.038) and a diet vs time interaction (p=0.014). For C-peptide, there was a significant time effect only (p<0.001)

Table 3.

Indices of insulin sensitivity following a 24-h low-RS and high-RS diet

Low RS

High RS

p value

Mean

SEM

Mean

SEM

HOMA-IR

1.0

0.20

1.0

0.20

ns

beta-cell function (%)

55.6

10.85

60.3

12.81

ns

SI ORAL (×10−4 dl kg−1min−1 per µUml−1)

26

3.5

44

7.5

0.028

IAUC C-peptide/ IAUC Insulin

9.7

0.69

18.7

6.5

0.017

Lipid metabolism

Following the MTT, the plasma TG concentration rose steadily to reach a peak at 240 min following both diets (data not shown). This could be accounted for by a rise in TG in the chylomicron-rich lipoprotein fraction and the VLDL-TG concentration. There was no difference in the plasma, chylomicron or VLDL-TG between the two diets. Differences were found in both the NEFA and 3-OHB concentrations following the two diets (Fig. 3). The fasting NEFA levels following the two diets did not differ. Following the MTT, NEFA concentrations were suppressed for the first 120 min before increasing to above fasting levels. By the end of the study period, NEFA levels were lower following the high-RS diet (0.52 vs 0.63 mmol/l; p=0.017). Between subjects the postprandial AUC NEFA response correlated to both the SIoral (p=0.024, r=−0.503) and the insulin/C-peptide ratio (p=0.043, r=0.456). The 3-OHB concentration followed a similar pattern to that observed with NEFA except that values remain suppressed for 240 min following the MTT, before again rising in excess of fasting levels. By the end of the study period, the 3-OHB concentration was suppressed following the high-RS diet (88 vs 170 µmol/l; p=0.014). There was a trend for this suppression in plasma 3-OHB to be correlated to the earlier lower levels of plasma insulin noted following RS ingestion although this failed to reach statistical significance (p=0.056). Fasting and postprandial plasma short chain fatty acids are shown in Table 4. Concentrations did not differ following the two diets although there seemed to be a trend for higher levels following the high-RS diet.
Fig. 3A, B.

Mean (± SEM) plasma NEFA and 3-hydroxybutyrate (3-OHB) concentrations during a meal tolerance test when preceded by either 24 h on a high-RS (○) or low-RS (●) diet. n=10. For NEFA, repeated measures ANOVA showed a significant effect of preceding diet (p=0.011) and 3-OHB showed a significant diet vs meal interaction (p<0.001)

Table 4.

Fasting (µmol/l) and postprandial (µmol/l.300 min) plasma short chain fatty acid concentrations following 24 h on a low- and high-RS diet

Low RS

High RS

p value

Mean

SEM

Mean

SEM

Acetate

Fasting

102.2

14.89

143.7

35.50

ns

AUC

34700

3849

41010

4062

ns

Propionate

Fasting

3.74

1.131

8.00

1.717

0.065

AUC

1452

164.0

2052

272.0

ns

Butyrate

Fasting

0.78

0.381

1.31

0.308

ns

AUC

290.6

62.76

352.7

39.68

ns

Breath analysis

After the high-RS diet there was an increase in the fasting hydrogen levels, which was maintained throughout the study period (p<0.001). The breath hydrogen level did not drop below 20 ppm following the high-RS diet (Fig. 4).
Fig. 4.

Mean (± SEM) breath hydrogen measurement during a meal tolerance test when preceded by either 24 h on a high-RS (○) or low-RS (●) diet. n=10. Repeated measures ANOVA showed a significant effect of preceding diet (p<0.001) and a diet vs time interaction (p<0.001)

Discussion

We have shown that acute ingestion of a high-RS diet for as little as 24 h induced changes in tissue insulin sensitivity, hepatic insulin clearance and fatty acid metabolism. This apparent improvement in glucose tolerance during a single day has been shown previously with high-fibre foods [25, 26] although in these studies the effects of indigestible carbohydrates could not be differentiated from those of glycaemic index (GI). By supplementing an identical background diet we have modified RS intake without associated changes in soluble fibre, available carbohydrate or fat and so the metabolic effects observed during this study can be attributed solely to RS ingestion. These findings contrast the view that favours resistant starch ingestion has no effect on postprandial glycaemia [6], which could reflect in part the fact that the dose used in this study was higher than that normally chosen but also must take into account that our metabolic effects were noted the day following RS ingestion and not in the immediate postprandial period [27, 28].

The breath hydrogen levels recorded in this study during the MTT indicate that fermentation of RS was still active the day after the high-RS diet [29] whereas fermentation was minimal following the low-RS diet. Plasma SCFA were also raised although the fact that this increase did not attain statistical significance is not perhaps surprising. Studies on portal blood have shown that approximately 75% of acetate, 90% of propionate and 95% of butyrate is lost to hepatic-extraction during each single-pass of blood through the liver [30] and so peripheral concentrations might not reflect portal concentrations which are likely to be high [31]. An increased portal concentration of SCFA has the potential to affect hepatocyte metabolism.

A primary observation was the reduction in plasma insulin without an accompanying change in C-peptide concentration, indicating that the differences in insulin levels noted were likely to be due to an increase in hepatic internalization of insulin rather than to differences in insulin secretion. This phenomenon has previously only been noted for viscous fibres [32]. The removal of circulating insulin is thought to be dependent on the binding of insulin to cell-surface receptors, before receptor-mediated endoctyosis and degradation [33]. An increase in insulin-binding to peripheral insulin receptors has been noted with high-fibre diets [34] and following rectal infusion of SCFA [35]. Any effects on hepatocyte-insulin binding are likely to be due to increased exposure of the liver to SCFA [11].

During the early phase of the MTT the main effect of prior RS ingestion was a lowering of plasma glucose concentration, despite the higher rate of insulin clearance and lower circulating insulin levels. Short-term changes in glucose tolerance have been attributed to changes in fatty acid metabolism [36]; however, during the first 2 h of the MTT when insulin sensitivity was assessed there was no effect of RS on either fasting or postprandial NEFA. Lower glucose levels could also be partly attributed to a high portal concentration of propionate. Propionate has been shown to have insulin-like effects; stimulating glycolysis [14, 37], activating glycogen synthase in isolated hepatocytes [38] and reducing gluconeogenesis [37], all serving to lower circulating glucose. This tallies well with both an observed reduction in hepatic glucose production 12 h after insoluble fibre ingestion [25] and the high amounts of liver glycogen found in rats adapted to a high-RS diet [39]. The colon is an important site for luminal and neurally-stimulated GLP-1 release [40]. GLP-1 has been strongly implicated in postprandial oral glucose tolerance, stimulating insulin release and having independent insulinotropic effects [41]. Although GLP-1 is not thought to be directly stimulated by colonic SCFA [42], luminal bile acids and carbohydrate have been implicated [43]. In this study, prior acute dosing of RS had no effect on postprandial GLP-1 levels during the MTT. The reported effects of fermentable carbohydrate on GLP-1 levels could be due to changes in bile acid composition or the up-regulation of GLP-1 mRNA [44], an effect which we would not expect after 24 h.

It is likely that any potential effects of SCFA [13, 37] on NEFA suppression were overwhelmed by the more potent antilipolytic effects of insulin; the depressive effect of the RS-diet on NEFA concentration was only observed late in the MTT when the effects of raised circulating insulin were removed. A reduction in NEFA following RS suggests that the earlier insulin-induced inhibition of adipose tissue lipolysis was being maintained. NEFA delivery from adipose tissue is now seen as a major determinant of both fatty acid oxidation and hepatic glucose output [45], and in the acute situation raised plasma NEFA lead to the inhibition of insulin-stimulated glucose uptake [46]. In this study, plasma NEFA suppression would seem to be a consequence of increased adipose tissue insulin sensitivity, as neither insulin levels at the end of the study period, nor levels of peripherally measured SCFA, could explain the effect. The supply of fatty acids to the liver regulates β-oxidation and hence hepatic ketogenesis; this we also found to be suppressed following RS. Plasma levels of 3-OHB and NEFA were found to correlate during the MTT, with the mean 3-OHB AUC suppressed by 10.5% and the NEFA AUC by 11.9% following RS. There was no evidence in this study of differences in fatty acid partitioning within the liver despite the documented in vitro effects of propionate on hepatic β-oxidation [47].

These results have indicated that a very high intake of RS, which could be achieved by the direct replacement of "refined-flour" with "high-RS flour" in the diet, has metabolic effects linked to the improvement in postprandial insulin sensitivity in normal healthy humans. Longer-term studies are needed to assess the dose tolerance of RS compared with other fermentable fibres and to determine the metabolic consequences of increasing RS intake in those with impaired glucose tolerance and Type 2 diabetes.

Notes

Acknowledgements

The authors would like to thank The National Starch and Chemical Company for support in providing materials and D. Araujo-Vilar from Servicio de Endocrinoloxia e Nutricion, Hospital Xeral, Spain for use of the computer program for calculation of SIORAL. This study was supported by a grant from the Biotechnology and Biological Sciences Research Council (BBSRC) UK.

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Copyright information

© Springer-Verlag 2003

Authors and Affiliations

  • M. D. Robertson
    • 1
  • J. M. Currie
    • 1
  • L. M. Morgan
    • 3
  • D. P. Jewell
    • 2
  • K. N. Frayn
    • 1
  1. 1.Oxford Lipid Metabolism Group, OCDEMChurchill HospitalOxfordUK
  2. 2.Nuffield Department of GastroenterologyUniversity of OxfordUK
  3. 3.School of Biomedical and Life ScienceUniversity of SurreyGuildfordUK

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