Prediabetes is defined as a condition where blood glucose levels are elevated above optimal levels but remain below the threshold required for clinical diagnosis of diabetes(Reference Tabák, Herder and Rathmann1). Each year, between 5 % and 10 % of individuals with prediabetes are shown to progress to clinical type 2 diabetes(Reference Mainous, Tanner and Baker2). If poorly managed, prediabetes is linked to adverse cardiovascular outcomes. Unfortunately, there is insufficient awareness of this link among the general population with existing prediabetes(Reference Hsueh, Orloski and Whne3). Early diagnosis and treatment of individuals with prediabetes can not only delay but also prevent the development of type 2 diabetes and minimise the risk of consequent cardiovascular abnormalities(Reference Hsueh, Orloski and Whne3). According to Hsueh et al. (Reference Hsueh, Orloski and Whne3), there are currently no approved medical treatments for prediabetes, with lifestyle changes remaining the only effective option.
Glycaemic response (GR) of a meal is the effect its consumption has on blood glucose levels, with the peak and duration of the increase dependent on the amount and type of carbohydrates ingested. Ensuring adequate regulation of postprandial blood glucose increase is especially crucial for people with prediabetes in order to reduce their risk of developing type 2 diabetes. Foods rich in polyphenols(Reference Paquette, Larqué and Weisnagel4) and dietary fibre(Reference Thakkar and Kapoor5) are known to improve glucose tolerance and insulin sensitivity. Additionally, soluble dietary fibre decreases the rate of gastric emptying (GE)(Reference Darwiche, Bjorgell and Almer6), which is also responsible for maintaining a feeling of satiety and preventing glucose spikes.
Finger millet (Eleusine coracana) is a grain consumed by a large proportion of South Asian and African populations; its seed coat is rich in polyphenols, dietary fibre, vitamins and minerals(Reference Chethan and Malleshi7). In addition, the starch in finger millet is known to be slowly digested and assimilated, compared with that in other cereals(Reference Lakshmi Kumari and Sumathi8). Regular consumption of finger millet has been found to significantly lower peak plasma glucose and the AUC of glucose in patients with type 2 diabetes mellitus(Reference Shukla and Srivastava9,Reference Kam, Puranik and Yadav10) . A number of studies have shown that a diet including finger millet is associated with lower blood glucose levels, compared with a rice-based diet, in patients with type 2 diabetes mellitus(Reference Thakkar and Kapoor5,Reference Urooj, Rupashri and Puttaraj11) . This may be a result of the high content of complex carbohydrates and resistant starch in finger millet, which leads to a slower rise in blood glucose(Reference Urooj, Rupashri and Puttaraj11). It is not yet known whether millet-based products will exert an attenuating effect on blood glucose and insulin levels in individuals with prediabetes. Therefore, the aim of this study was to determine the effect of finger millet muffin consumption on postprandial GR, insulin response (IR), GE and satiety in healthy individuals and individuals with prediabetes. It is hypothesised that finger millet muffin consumption will lower the blood glucose levels in comparison with wheat muffins in individuals with prediabetes.
Materials and methods
Participants
Participant recruitment was done from May to December 2017. Two groups of participants were recruited for the study: healthy individuals and individuals with prediabetes.
Group 1
Sixteen healthy participants were eligible based on the following inclusion criteria: no known medical conditions, 18–65 years of age, BMI ≤ 30 kg/m2, fasting blood glucose level < 6·1 mmol/l, no known diabetes and no impairment in glucose tolerance.
Group 2
Fourteen participants were included in the prediabetes group. The inclusion criteria were 18–65 years of age, a BMI ≥ 25 kg/m2, a fasting blood glucose level of 6·1–6·9 mmol/l and/or 7·9–11·0 mmol/l 2 h after an oral glucose tolerance test. Certain factors such as being over 40 years of age, South Asian ethnicity, genetic factors (e.g. having a close relative diagnosed with diabetes) and a history of gestational diabetes and/or polycystic ovary syndrome (PCOS) may increase the risk of developing type 2 diabetes(12). Volunteers with one or more of the above factors were invited for a screening, when they were subjected to a fasting blood glucose measurement and an oral glucose tolerance test, to assess their eligibility to participate. Participants were excluded if they were taking any medication that would affect their glucose regulation, GE, appetite or body weight. None of the participants were smokers.
Participants were recruited by the lead researcher (AA) through advertisements posted on university notice boards, supermarkets, libraries, community centres, diabetes and prediabetes support groups, surgery and health centre waiting rooms in Oxford, advertising sites (Gumtree and Daily Info) and the Diabetes UK website. Interested volunteers were invited to attend a screening session at Oxford Brookes Centre for Nutrition and Health, either before or on the morning of the test visit, where an information sheet was provided and a health questionnaire was completed, including details of smoking habits, food allergies/intolerances, metabolic diseases, physical activity, medication, eating habits and disorders. This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the University Research Ethics Committee (UREC) at Oxford Brookes University (UREC Registration No: 161061). Written informed consent was obtained from all subjects. The trial was registered on the ClinicalTrials. Gov registry (NCT04599738; https://clinicaltrials.gov/ct2/show/NCT04599738).
Screening using oral glucose tolerance test
Fasting blood glucose, anthropometric measures and blood pressure were measured to confirm the eligibility of the participants for each group. Height was recorded using a stadiometer (Seca Ltd), with shoes removed. Body weight was recorded using a Tanita BC-418 MA scale (Tanita UK Ltd), with heavy garments and shoes removed.
The participants were asked to fast overnight (12 h) and then consume 75 g of dextrose (unflavoured, Myprotein) dissolved in 250 ml of water. Plasma glucose was measured before consumption of glucose and after 2 h using an automatic blood glucose analyser (Glucose 201+, Hemocue, Radiometer Ltd). The analyser was calibrated daily using control solutions (GlucoTrol-NG, Level 2, 1·0 ml) to ensure accuracy of results within a defined range. Prediabetes was diagnosed if oral glucose tolerance test blood glucose results after 2 h were in the range of 7·9–11·0 mmol/l(13).
Test food preparation
The test meals were two types of muffins provided on two different occasions: a control muffin (100 % wheat flour) and a finger millet muffin (50 % finger millet grain, 50 % wheat flour). Test meals were prepared in the Oxford Brookes Centre for Nutrition and Health kitchen by the lead researcher (AA). The finger millet muffins were prepared 1 d prior to testing, using a standardised recipe (consisting of 1 egg, 5 ml of vanilla extract, 125 ml of semi-skimmed milk, 32 g of caster sugar, 15 g of baking powder and 62 ml of sunflower oil) modified by replacing 50 % of wheat flour with crushed finger millet grain. Muffins were baked at 150°C for 25 min, cooled for 10 min and stored at room temperature until serving to the participants the following morning.
The serving size of muffins were determined based on the nutritional analysis carried out by Eurofins Food Testing UK Ltd (Wolverhampton, UK). Muffins were matched to contain 50 g of available carbohydrate per portion; control muffins (133·69 g) and finger millet-based muffins (145·77 g) were served with 250 ml of water. The control muffin had the following nutritional composition (per portion): energy: 1783 kJ; available carbohydrates: 50·0 g; total sugars: 12·4 g; crude protein: 8·4 g; total fat: 21 g and total dietary fibre: 1·7 g. The nutrient content of the finger millet muffin (per portion) was as follows: energy: 1831 kJ; available carbohydrates: 50·0 g; total sugars: 13·7 g; crude protein: 9·0 g; total fat: 21·0 g and total dietary fibre: 6·3 g.
Analysis of total polyphenol content and antioxidant activity in the test foods
A 1-g sample of each muffin was extracted in amber bottles with 4 ml of solvent (70 % acetone) in a shaking water bath for 2 h at room temperature(Reference Thondre, Ryan and Henry14). The extracts were centrifuged at 3000 × g for 10 min using a benchtop centrifuge (Heraeus Instruments, Kendro Laboratory Products, D-37520 Osterode). The supernatant was used to determine the antioxidant activity and total phenolic content. The extracts were covered with foil to protect them from light and frozen at –20°C until analysis.
Total polyphenol content
To an aliquot of the muffin extract (200 μl), 1·5 ml of freshly prepared Folin–Ciocalteu reagent (1:10 v/v with water) was added. For 5 min, the mixture was allowed to equilibrate and then mixed with 1·5 ml of 60 g/l Na carbonate solution. After incubation of the mixture in the dark for 90 min at room temperature, the absorbance of the mixture was measured at 760 nm using 70 % acetone as blank. Gallic acid was used as a standard. The result was expressed as µg of gallic acid equivalents (GAEs) per gram of muffin samples(Reference Coe, Fraser and Ryan15).
Ferric ion reducing antioxidant power
A ferric ion reducing antioxidant power reagent was freshly prepared by mixing 300 mM of acetate buffer (pH 3·6), 20 mM of ferric chloride and 10 mM of tripyridyl-s-triazine made up in 40 mM of HCl, in the ratio 10:1:1, respectively. Ferrous sulphate (1000 μM) was used as a standard. One millilitre of purified water was taken in a tube and incubated at 37°C for 5 min. Twenty-five microlitre of muffin extract or standard was added to the tube with 1·0 ml of purified water, followed by the addition of 1 ml of ferric ion reducing antioxidant power reagent. To perform the assay, the mixture was again incubated at 37°C for 4 min and the absorbance was measured at 593 nm(Reference Ryan, Thondre and Henry16).
Study design
A single-blind randomised controlled crossover study design was used. Participants received each of the two muffins (wheat and finger millet) in random order at two separate study visits with at least a 1-d washout period between each visit. The muffin order was randomised using a pseudo-random number generator by the lead researcher (AA). During the 24 h prior to testing, participants were asked to avoid caffeine, alcohol, nicotine and non-routine strenuous exercise. All participants fasted for 12 h (overnight) and only consumed water during the fasting period.
Sample collection procedures
Measurement of the glycaemic response
Blood for glucose and insulin tests was obtained using the finger-prick method and a single-use lancing system (Unistick 3, Owen Mumford) at −5 min (before consumption of muffin), 0 min (baseline) and 15, 30, 45, 60, 90, 120, 150 and 180 min post-consumption. Fasting blood samples were taken in duplicate (at −5 and 0 min) to ensure that the results were within a CV of 3 %. The first two drops of blood were discarded as they might have been contaminated and, therefore, may result in skewed values. The fingertips were then lightly massaged to extract blood from the base to the tip. The method used to measure GR was in line with FAO/WHO recommendations(17).
Measurement of the insulinaemic response
For measuring insulin, blood samples were taken at the same time points and using the same finger-prick technique as for GR. At each time point, approximately 300 μl of blood was collected in EDTA-coated microtainer tubes (Bunzl Healthcare) and stored immediately on ice. All samples were centrifuged at 4000 rpm for 10 min, following which 200 μl of supernatant plasma was collected into Eppendorf tubes and frozen at −40°C, until analysis. Plasma samples were analysed for insulin using the electrochemiluminescence immunoassay and an automated analyser (Cobas® E411; Roche Diagnostics).
The changes in the GR and IR of participants after consumption of each muffin was calculated geometrically as the incremental AUC (iAUC, using the trapezoidal rule(17), and only the area above the fasting level was included in the analysis.
Measurement of gastric emptying
GE was measured using 100 mg of 13C Na acetate added to the control and finger millet muffins(Reference Morey, Shafat and Clegg18). Breath samples of participants were collected during each visit prior to muffin consumption (–5 and 0 min), then during the postprandial 4-h period at the same time points as for GR and IR – plus at 210 and 240 min. The samples were collected using a drinking straw by blowing into a 10-ml exetainer® tube (Labco), removing the straw, just prior to the end of exhalation. The cap of the tube was immediately replaced, and the samples were stored at room temperature for analysis. All participants were asked to wear a nose clip during sampling.
Breath samples were analysed using GC isotope ratio mass spectrometry (ABCA, SerCon Limited), and all results were expressed relative to Vienna PeeDee Belemnite (V-PDB), an international standard of known 13C composition. Data was expressed as % of 13CO2 dose recovered per hour and cumulative % of 13CO2 recovered over time. The production of CO2 was assumed as 300 mmol/m2 of body surface area per hour. The body surface area was calculated using a pre-validated weight–height formula(Reference Haycock, Schwartz and Wisotsky19), which was then fitted into a GE model developed by Ghoos et al. (Reference Ghoos, Maes and Geypens20). From this model, the lag phase, latency phase, ascension time and half time were then calculated. Lag phase (Tlag) is the time taken from test food ingestion to maximal rate of 13CO2 excretion. Half time (Thalf) is the time it takes for 50 % of the 13C dose to be excreted. Latency phase (Tlat) is the initial delay in the excretion curve. Ascension time (Tasc) is the time between Tlag and Thalf representing a period of high 13CO2 excretion rates(Reference Schommartz, Ziegler and Schadewaldt21).
Measurement of hunger and satiety
A 7-anchor bidirectional scale was used to assess the satiety of participants at 0, 15, 30, 45, 60, 90, 120, 150, 180, 210 and 240 min time points, during each visit, immediately prior to blood sampling. The AUC was calculated geometrically using baseline scores as a covariate, as it corrects for baseline differences when analysing appetite scales(Reference Blundell, de Graaf and Hulshof22). The rating of the scale was as follows: 6 = extremely full and 0 = extremely hungry.
Statistical analysis
Statistical analysis was undertaken using the Statistical Package for the Social Sciences (IBM SPSS, v. 25). The data on total polyphenol content and antioxidant activity of muffins, participant characteristics, satiety AUC, GE curves and change in blood glucose and plasma insulin are reported as mean and standard devation to show the variability in the data(Reference Barde and Barde23). The results for glucose and insulin iAUC, GR and IR peak and time of peak and GE time are presented as mean with their standard errors. Before statistical analysis, the total polyphenol content and antioxidant activity of muffins, incremental data for the GR, IR and GE of muffins in each group (prediabetes and healthy) were tested for normality using a Shapiro–Wilk test.
The total polyphenol content and antioxidant activity of muffins were analysed using independent samples t test (normally distributed data) or Mann–Whitney U test (not normally distributed data). A two-way mixed method (muffin types × participant groups) ANOVA was used to compare GE, the iAUC for GR and IR between the participant groups and muffins. In all analyses, P-values < 0·05 were considered to be statistically significant. For the satiety AUC, a one-way ANCOVA was carried out, using the baseline as a covariate, to determine differences between muffin types. This was to avoid errors caused by using iAUC derived by simple subtraction of baseline values(Reference Blundell, de Graaf and Hulshof22). Previous statistical power calculations(Reference Clegg, Pratt and Meade24) demonstrated that in order to achieve a power of 0·9, a total sample size of 12 was required, based on the difference in mean GR-iAUC of 10 mmol/l, with a mean sd of 5 mmol/l and an α of 0·05.
Results
Total polyphenol content and antioxidant activity of the test foods
The finger millet muffin had significantly higher total polyphenol content compared with the control muffin (572 ± 38 µg/g GAE v. 277 ± 27 µg/g GAE; P < 0·001). The total antioxidant activity of finger millet muffin was also significantly higher than the control muffin (602·91 ± 34·36 µmol/g v. 444·22 ± 8·94 µmol/g; P = 0·001).
Participant characteristics
Sixteen healthy individuals were recruited and fifteen completed the study; one participant withdrew after the screening session without giving reasons (Fig. 1). Fifty people who had risk factors for prediabetes attended the screening sessions and fourteen completed the study. Thirty-five volunteers did not meet the inclusion criteria and one volunteer did not participate due to gluten allergy. There were no adverse events in the study. Demographic characteristics showed that there were no significant differences in age, systolic blood pressure or height between the two groups (Table 1). However, weight, BMI and diastolic blood pressure were significantly higher in the prediabetes group (P < 0·05).
Consort flow diagram.
Demographics of participants with prediabetes and healthy individuals participating in the randomised controlled trial consuming wheat muffin and finger millet muffin
(Mean values and standard deviations)
BP, blood pressure.
* Significance level P < 0·05 for comparison between both groups.
Glycaemic response and insulin response
The incremental blood glucose concentrations in people with prediabetes and healthy individuals are depicted in Fig. 2(a) and (b), respectively. There was no significant effect of muffins on GR iAUC at 60 min, 90 min, 120 min, 150 min or 180 min (P > 0·05). However, there was a significant effect of participant groups on GR iAUC at 60 min (P = 0·036), 90 min (P = 0·001), 120 min (P = 0·001), 150 min (P = 0·002) and 180 min (P = 0·035) demonstrating a higher response in participants with prediabetes (Table 2a). There were no significant interactions between participant groups and muffins at 60 min, 90 min, 120 min, 150 min or 180 min (P > 0·05).
Changes in the blood glucose response from baseline (mmol/l) after wheat (control) and finger millet muffin consumption in individuals with prediabetes (a) and healthy participants (b). Changes in the insulin response from baseline in individuals with prediabetes (c) and healthy participants (d). Data are given as mean and standard devation. *Significant difference P < 0·05 compared with wheat muffins.
GR and IR iAUC for individuals with prediabetes and healthy participants after finger millet and wheat muffin consumption
(Mean values with their standard errors)
GR, glycaemic response; IR, insulin response; iAUC, incremental AUC.
P-values show the main effect of participant groups on GR and IR iAUC. *P < 0.05.
The changes in the IR from baseline in people with prediabetes and healthy individuals are depicted in Fig. 2(c) and (d), respectively. There was no significant effect of muffins on IR iAUC at 60 min, 90 min, 120 min, 150 min or 180 min (P > 0·05). Similarly, there was no significant effect of participant groups on IR iAUC at 60 min, 90 min or 120 min (P > 0·05). However, a significant effect of participant groups on IR iAUC was detected at 150 min (P = 0·006) and 180 min (P < 0·001) demonstrating a lower response in healthy participants (Table 2a). There were no significant interactions between participant groups and muffins at 60 min, 90 min, 120 min or 150 min (P > 0·05). However, there was a significant interaction between participants and muffins for the IR (iAUC) at 180 min (P = 0·042) demonstrating a significant difference in IR by muffin type in the prediabetes group alone. Compared with the control muffin, the IR was significantly lower following the millet muffin in the prediabetes group (Fig. 2(c)).
The differences in peak values and time to peak for GR and IR in the prediabetes and healthy groups after finger millet and control muffin consumption are depicted in Table 2b. There was a significant effect of muffins on the GR peak (P = 0·013) with the millet muffins generating a lower peak value. This is demonstrated in Fig. 2(a) where the peak glucose level was attenuated following the finger millet muffin consumption in the prediabetes group. However, there was no significant effect of muffins on the IR peak (P = 0·080). There was a significant effect of participant groups on the GR peak (P < 0·001) demonstrating a higher peak in participants with prediabetes. This significant effect of participant groups was not evident on IR peak (P = 0·269). There was no significant effect of muffins on GR time peak or IR time peak (P > 0·05). On the contrary, there was a significant effect of participant groups on GR time peak (P = 0·015) and IR time peak (P = 0·024) showing individuals with prediabetes taking longer time to reach peak response (Table 2b). There were no significant interactions between participants and muffins for the GR peak, the IR peak, the GR time to peak or the IR time to peak (P > 0·05).
Peak and time to peak values for individuals with prediabetes and healthy participants after finger millet and wheat muffin consumption
(Mean values with their standard errors)
GR, glycaemic response; IR, insulin response.
P-values show the main effect of participant groups on GR and IR peak and time of peak. *P < 0.05.
Gastric emptying
The differences in GE times between the control and finger millet muffins in people with prediabetes and healthy individuals in terms of Thalf, Tlag, Tlat or Tasc are depicted in Fig. 3(a) and (b), respectively. There were no effects of muffins or participants on any of the GE parameters (Table 3). Similarly, there were no significant interactions between participants and muffins for Thalf, Tlag and Tlat (P > 0·05). However, a statistically significant interaction between participants and muffins for Tasc (P = 0·017) was observed suggesting that the finger millet muffin was emptying quickly compared with the control muffin in the prediabetes group.
Breath 13CO2 curves following wheat (control) and finger millet muffin consumption for individuals with prediabetes (a) and healthy (b) participants. Data are presented as mean and standard deviation.
GE time after finger millet and wheat muffin consumption in individuals with prediabetes and healthy participants
(Mean values with their standard errors)
GE, gastric emptying.
P-values show the main effect of participant groups on GE parameters.
Satiety
Mean hunger and fullness ratings at baseline, 0 min and after ingestion of control or finger millet muffins, in both healthy and prediabetes groups, are shown in Table 4. Satiety was not significantly affected (P > 0·05) by either muffin type (finger millet or control) or participant group (healthy or prediabetes).
AUC for satiety following wheat and finger millet muffin consumption in individuals with prediabetes and healthy participants
(Mean values and standard deviations)
Discussion
The main findings of this study were that finger millet muffin consumption resulted in a significantly attenuated postprandial IR and peak blood glucose level in participants with prediabetes. However, the reduction in GR was not statistically significant after finger millet consumption. No change was observed in GE or satiety in the prediabetes or healthy groups after finger millet consumption
The attenuated IR after finger millet muffin consumption is in agreement with Abdelgadir et al. (Reference Abdelgadir, Abbas and Järvi25), who reported a significant decrease in the insulin AUC after proso millet porridge consumption in comparison with sorghum and maize porridge in patients with type 2 diabetes mellitus. Fibre and polyphenol contents of finger millet may be responsible for the decrease in IR. Finger millet is higher in dietary fibre compared with other cereals(Reference Devi, Vijayabharathi and Sathyabama26), and previous randomised controlled trials have shown that fibre-fortified foods significantly decrease postprandial GR and IR(Reference Stewart and Zimmer27,Reference Stewart and Zimmer28) . The total fibre content of finger millet muffin used in this study was almost four times that of the control (wheat) muffin, suggesting the possibility that dietary fibre played a role in the reduction in IR. The role of non-starch polysaccharides and resistant starch in delaying nutrient digestion and absorption has been extensively reported in a review on health benefits of finger millet(Reference Devi, Vijayabharathi and Sathyabama26)
Finger millet is also high in polyphenols(Reference Lakshmi Kumari and Sumathi8), which may have a favourable effect on postprandial GR(Reference Coe and Ryan29) through inhibiting amylase and α-glucosidase enzymes and delaying glucose absorption(Reference Devi, Vijayabharathi and Sathyabama26). Higher polyphenol content has been reported in the grains(Reference Almaski, Thondre and Lightowler30) used to prepare the finger millet muffins, which had twice the amount of polyphenols compared with the wheat muffins in this study. A previous study(Reference Hlebowicz, Hlebowicz and Lindstedt31) using cinnamon suggested that insulin receptor stimulation by polyphenols might augment glucose uptake and decrease insulin need, which may partly explain the attenuated IR. The GR and IR profiles of participants with prediabetes in this study indicate that the glucose uptake rate following finger millet muffin consumption may not have been sufficient to cause a significant lowering of GR. Yet, the demand for insulin release from pancreas may have been reduced towards the end of the 3-h postprandial period resulting in a significant reduction in IR. Polyphenols may also prevent increases in insulin in the early stage of prediabetes by preventing oxidative damage to β-cells and activating glucose uptake receptors in insulin-sensitive tissues, precluding any compensatory rise in insulin secretion as demonstrated by Paquette et al(Reference Paquette, Larqué and Weisnagel4). Whilst fibre and polyphenols are expected to cumulatively lower the GR iAUC of foods, soluble fibre has been reported to reduce the in vitro inhibitory activity of α-amylase by polyphenols(Reference Sun, Warren and Gidley32), which may explain the non-significant results of GR in this study
Cooking duration and heat intensity may influence the polyphenols and the ratio of the different starch fractions in millet, which ultimately may differentially affect the GR(Reference Lakshmi Kumari and Sumathi8). Thermogenic breakdown of phenolic molecules as well as decarboxylation and polymerisation of free phenolic acids are reported following cooking(Reference Kadiri33). In this study, the baking temperature and duration of muffin preparation (150°C for 25 min) were more than those used for preparing roti (toasted and processed with oil) and dumplings (boiled) in previous studies(Reference Lakshmi Kumari and Sumathi8,Reference Urooj, Rupashri and Puttaraj11,Reference Mir, Naik and Shah34) . A long cooking time could promote breakdown of starch granules, thereby increasing their surface area for rapid digestion and leading to an increase in the GR(Reference Lakshmi Kumari and Sumathi8). These structural changes by cooking might have influenced the GR and IR in this study. The effect of cooking on polyphenols’ properties warrant further research.
As expected, participants with prediabetes exhibited a significantly elevated GR iAUC compared with healthy individuals for both control and millet muffins. However, in contrast with previous studies(Reference Lakshmi Kumari and Sumathi8,Reference Urooj, Rupashri and Puttaraj11) where a reduction in GR was achieved in both healthy individuals and patients with type 2 diabetes mellitus after consumption of flatbread (roti), pancake (dosa) and dumplings prepared from whole finger millet, there was no significant participant × test meal interaction in this study alluding to possible differences in insulin secretion between prediabetes and type 2 diabetes(Reference Tabák, Herder and Rathmann1).
In the current study, there was no delay in GE in both the prediabetes and healthy groups after finger millet consumption. Cisse et al. (Reference Cisse, Erickson and Hayes35) observed slower GE rates in healthy participants after millet consumption in solid and liquid food (couscous and porridge), compared with white rice, plain potato and wheat pasta. This may be explained by the larger portions of pure millet test foods (650 g) used by Cisse et al. (Reference Cisse, Erickson and Hayes35) compared with smaller portion size of 146 g in this study (50 % of wheat flour replaced with about 36 g of finger millet grain to prepare the muffins). Moreover, as GE is delayed in patients with type 2 diabetes mellitus in response to hyperglycaemia(Reference Marathe, Rayner and Jones36), a similar response may be observed in prediabetes. The significant delay in ascension time observed for control muffins compared with the millet muffins may suggest that the finger millet grains became separated from the muffin mixture in the stomach causing faster emptying in participants with prediabetes. GE is known to depend on glycaemic control, and glycaemic control in turn is influenced by GE(Reference Mihai, Mihai and Cijevschi-Prelipcean37). This bidirectional relationship may be more pronounced in hyperglycaemia as seen in prediabetes, thereby promoting glucagon-like peptide-1 and insulin secretion(Reference Mihai, Mihai and Cijevschi-Prelipcean37).
GE is directly linked to satiety(Reference Darwiche, Bjorgell and Almer6). Factors such as particle characteristics and water content of the foods affect GE(Reference Alyami, Whitehouse and Yakubov38,Reference Hayes, Gozzi and Diatta39) . The coarsely crushed form of millet may not have released the soluble fibre from the grain to delay GE and increase the feeling of satiety in this study. There was no relation between gastric volume measured by MRI and measures of satiety in a study following finger millet porridge consumption in healthy participants(Reference Alyami, Ladd and Pritchard40). Pearl millet foods have also shown mixed results depending on particle characteristics(Reference Alyami, Whitehouse and Yakubov38,Reference Hayes, Gozzi and Diatta39) . Whilst a positive correlation between gastric volume and satiety measures was found with the swelling effect of millet flake porridge(Reference Alyami, Whitehouse and Yakubov38), no effect on GE was observed with the sieving effect of millet flour porridge(Reference Hayes, Gozzi and Diatta39).
To our knowledge, this is the first study to examine the effect of finger millet-based muffin on GR, IR, GE and satiety in people with prediabetes. A strength of the study is that the fibre and polyphenol content was known in the muffins used in this study. Moreover, other polyphenol-containing ingredients (e.g. vegetables and spices) were not used as in previous studies(Reference Lakshmi Kumari and Sumathi8,Reference Urooj, Rupashri and Puttaraj11) , which might have interfered with the results. A larger sample size was used in this study compared with some of the previous studies on patients with type 2 diabetes mellitus(Reference Lakshmi Kumari and Sumathi8,Reference Urooj, Rupashri and Puttaraj11) . A limitation is that only one dose of millet grains (36 g) and one type of food (muffins) were tested in this study. The dose of millet grains required to attenuate GR and IR may vary in other test foods depending on the ingredients present and the processing methods used. Therefore, the results in this study cannot be generalised to other test foods. Moreover, satiety was measured in this study using a subjective rating scale without measuring food intake at an ad libitum lunch. More robust and objective measurement of gastrointestinal hormones that reflect satiety, such as leptin and ghrelin, may be desirable to elucidate the effect of millet consumption on satiety(Reference Cummings, Purnell and Frayo41).
Conclusion
The consumption of finger millet muffin resulted in lower glucose peak level and improved IR in individuals with prediabetes. Fibre and polyphenols in finger millet muffin may be contributing to the decrease in postprandial IR in people with prediabetes. Therefore, finger millet may be beneficial in dietary interventions to prevent the progression of prediabetes to type 2 diabetes. Future work is required to examine the effects of different doses of finger millet and different cooking methods on GR, IR, GE and satiety to maximise its nutritional benefits for people with prediabetes.
Acknowledgements
The authors would like to thank Taibah University, KSA, for funding the study and Oxford Brookes University, UK, for providing all support and resources to conduct the study.
This work was supported by Taibah University, KSA (grant number TAU211). Taibah University had no role in the design, analysis or writing of this article.
A. A collected the data, analysed the data and wrote the first draft; M. E. C. contributed to the methodology and data analysis; and S. C., H. L. and P. S. T. conceptualised and supervised the study. All authors reviewed and commented on the manuscript.
The authors report no conflict of interests.
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