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Effect of a low dose whey/guar preload on glycemic control in people with type 2 diabetes-a randomised controlled trial
© Clifton et al.; licensee BioMed Central Ltd. 2014
- Received: 4 August 2014
- Accepted: 15 October 2014
- Published: 25 October 2014
Large preloads of protein and fat have been shown to lower glucose after a carbohydrate-rich meal in people with type 2 diabetes but add a considerable energy burden. Low calorie preloads [<5% of daily energy intake] have been tested in this study in people with prediabetes and with type 2 diabetes.
Research design and methods
This was an unblinded randomised crossover study with two placebo days and two active treatment days. Glucose was measured for 3 hours with fingerprick samples as well as continuous glucose monitoring [CGMS]. Twenty-four subjects with pre-diabetes or moderately controlled type 2 diabetes [fasting glucose < 10 and HbA1c < 8.5%] were recruited. The preload contained 17 g whey protein plus 3 g lactose and 5 g guar, and 1 g flavour material [including sucralose] dissolved in 150 ml cold water or 150 ml cold water with no additives. The breakfast test meal consisted of 2 slices of bread, margarine and jam [3 slices for men] with the test drink 15 minutes beforehand.
Peak fingerprick glucose was reduced by 2.1 mmol/L at 45 min [p < 0.0001]. Average fingerprick glucose over 3 hours was reduced by 0.8 mmol/L [p = 0.0003]. There was no difference between those with diabetes or prediabetes or those on medication or not on medication.
An 80 kcal whey protein/fibre preload can lower average glucose over 3 hours by 0.8 mmol/L. If used long term before at least two carbohydrate-rich meals/day this preload could lower HbA1c by up to 1%.
The trial was registered with the Australian New Zealand Clinical Trials Registry number ACTRN12612001251819.
- Glycemic control
- Type 2 diabetes
At least 50% of people with type 2 diabetes have poor glucose control despite drug treatment and are often faced with the prospect of the addition of another oral drug or insulin. Medical nutrition therapy involving lifestyle modification is recommended as the first line of management for this disease  but can also have significant effects on glucose control later in the disease . However, patient compliance is often poor. Dietary strategies include modifications in fat and complex carbohydrate intake or low glycaemic index (GI) diets, all of which can be difficult to follow or maintain . An alternative approach is the use of a 55 g whey preload drink which can slow gastric emptying and increases insulin, glucagon like peptide-1 (GLP1) and glucose inhibitory peptide release and lowers glucose by 3 mmol/L . An alternative approach involves the use of 15-30 g glutamine which also lowers postprandial glucose by 0.3 to 1 mmol/L . Fibres such as pectin  and guar  reduce gastric emptying but pectin tends to lower insulin without an effect on glucose levels in normal subjects while guar lowers both in people with diet controlled type 2 diabetes. Fat may also be used to slow gastric emptying and enhance GLP1 secretion which delays and lowers the glucose peak by 1 mmol/L but at a cost of an extra 240 kcal added to the meal .
We speculated that dramatically lowering the amount of whey and replacing some of the protein with guar would be just as effective at lowering postprandial glucose as 55 g of whey alone. Guar alone in dose of 4 g twice daily has been shown in one study to lower Hba1c by 0.6% suggesting that flattening of the postprandial glycemic profile can lead to clinical useful effects .
Confirmed prediabetes or type 2 diabetes from fasting glucose or oral glucose tolerance test performed by general practitioner
Fasting glucose less than or equal to 10
HbA1c less than 8.5%
Diet or metformin only
No restriction on age or BMI
Attempting to lose weight or restrict caloric intake
Use of insulin or any other medication except metformin
Twenty-four subjects with pre-diabetes or moderately well -controlled type 2 diabetes were recruited by newspaper advertisement between July and December 2013. These participants consisted of 13 people with type 2 DM and 11 with prediabetes. One subject had a fasting blood glucose of 10 mmol/L while all the rest were under 9 mmol/L. Ethics approval was from the Human Ethics committee of the Alfred Hospital (number 416/12) and all volunteers gave written informed consent. The trial was registered with the Australian New Zealand Clinical Trials Registry number ACTRN12612001251819.
The preload contained 17 g whey protein plus 3 g lactose and 5 g guar, and 1 g flavour material (including non-caloric sweetener either stevia or sucralose) dissolved in 150 ml cold water or 150 ml cold water alone.
The study was an unblinded 5-day continuous glucose monitoring (CGMS) study and an acute post meal fingerprick blood glucose study. Four finger prick tests were also conducted per day for optimal performance of the monitor. Six visits to the clinic were required with the first day for insertion and stabilisation of the monitor and the next 4 days for meal/drink tests. A packaged pre-test meal was provided the night before each test to standardise conditions. All morning medications were taken at least 15 minutes before the test drink.
The breakfast test meal consisted of 2 slices of bread, margarine and jam (3 slices for men) plus tea/coffee if desired, with a test drink 15 minutes beforehand. Tea and coffee intake for each individual was standardised to be consistent across all 4 visits. This test drink consisted of 150 ml of cold water mixed with 17 g of protein plus 5 g of fibre (the active drink) or 150 ml of plain cold water (control). The order of these two pre-meal drinks was selected at random. The active drink was taken on two of these days, and water on the other two days.
The iPRO2 blinded CGMS (Medtronics Australasia) was inserted into the abdominal skin on a Monday afternoon. Once the signal was stable an initial fingerprick blood glucose was taken and the volunteer then went home with a prepackaged evening meal. All fingerprick glucose values were recorded on a paper log with the time of recording and returned to the clinic every 24 hours. CGMS values were taken every 5 minutes for 5 days but this analysis was confined to 3 hours after the preload to match the fingerprick data. Values from both tests and control days were averaged.
Fingerpricks were taken before the breakfast and then every 15 min for the first hour, then at 90 min, 120 min and 180 min. Values from the two treatment and two control days were averaged.
The primary hypothesis was that the protein/fibre would lower the peak glucose by 1 mmol/L compared with the water and we had 99% power, p < 0.001 to show a glucose lowering of 1 mmol/L for the fingerprick tests (SD 0.6 mmol/L from a previous pilot study). Randomisation was performed using a random number generator for treatment pairs (ie treatment/control for days 1 and 2 and treatment/control for days 3 and 4). Peak change was calculated manually as the timing of the peak varied from person to person and with treatment. The whole curve over 3 hours was also analysed using repeated measures ANOVA with diabetes status and medication as between subject factors and fasting glucose as a covariate. Paired t tests were also used to examine each time point in the fingerprick tests if the overall curves were different by repeated measures ANOVA. Average glucose over 3 hours was calculated as a time weighted average of all 8 fingerprick points and all time points from the CGMS (equivalent to AUC). Data is shown as mean +/SD.
Baseline characteristics of participants
There were 6 men and 5 women who had prediabetes, with an average age of 60 and a BMI of 32. One was treated with metformin. There were 7 men and 6 women with diabetes with an average age of 60 and a BMI of 32. Nine were treated with metformin.
The premeal protein/fibre drink clearly lowers the peak and average glucose over three hours and delays the peak as well, demonstrating it could be a useful therapy to add to patients with prediabetes or diabetes not optimally controlled by diet or diet plus metformin. The average lowering of nearly 1 mmol/l over 3 hours with a peak reduction of 2 mmol/L is exactly equivalent to  or greater than  the effect of sitagliptin on acute glucose profile. Sitagliptin can lower HbA1c by an average of 0.7% compared with placebo . This finding with sitagliptin matches the findings with dietary carbohydrate where in 901 free living patients with type 2 diabetes those in the lowest quintile of glycemic index and glycemic load had an HbA1c 1% lower than those in the highest quintile and the difference in post meal glucose at one hour between these groups was about 2 mmol/L . This premeal protein/fibre drink treatment would appear to outperform low GI meal planning but long term data is not yet available so we do not know how well patients will comply with a pre-meal drink regimen long term. In the Jenkins low GI- 6 month study in type 2 diabetes , Hba1c was lowered by 0.32%. The difference between the diets was 13 GI units. A meta-analysis of 16 studies using GI in meal planning showed an average reduction in HbA1c of 0.27% (p = 0.03) and fructosamine of 0.1 mmol/L (p = 0.05) .
Whey drinks fed 30 minutes before an ad libitum pizza in young healthy men show a clear dose response from 10-40 g of whey with a peak reduction of 1.8 mmol/L with 20 g whey at 30 minutes after the meal. Thirty g of whey was similar but 40 g of whey reduced glucose by 2.4 mmol/L at 35 minutes . For both 20 g and 40 g of whey food intake and thus carbohydrate intake was reduced by 13-30% accounting for some of the glucose reduction. Glucose reduction with 17 g of whey was greater in the current study and although not formally tested the addition of guar to whey would appear to add to its glucose lowering effect. In another study in 14 healthy, lean subjects 9 g of whey protein isolate taken immediately before a fixed meal lowered glucose at 45 min by 2.6 mmol/L and elevated insulin and GLP1 .
The mechanism of the effect on postprandial glucose would appear to be via slowing gastric emptying from both guar  and protein  as well as via protein induced insulin release [4, 5]. With 55 g of whey Ma et al.  demonstrated a 3 fold increase in insulin at 90 minutes while Samoch-Bonetet al.  showed that 15 g of glutamine increased insulin from 450 to 600 pmol/L and delayed the insulin peak from 30 to 60 minutes and its effect was more marked than 100 mg of sitagliptin. Guar alone in a dose of 4 g twice daily has been shown in one study to lower Hba1c by 0.6% suggesting this degree of flattening of the postprandial glycemic profile with guar alone can lead to long term glucose lowering and clinically useful effects . Thus with the treatment described in this paper we would anticipate an equal contribution from protein and guar to glucose lowering although we did not set out to specifically elucidate the separate and combined effects of whey and guar but only tested a practical combination drink. GLP1 and PYY are elevated by whey more than by glucose preloads before a pizza meal  suggesting GLP1 may be important in the effect of the drink.
In terms of cardiovascular complications a 1 hour postprandial glucose level predicts myocardial infarction and death in people with newly diagnosed with type 2 diabetes . In both men and women with diabetes who had myocardial infarctions a post lunch difference of about 2 mmol/L (time not specified) was seen compared with people without disease . In a meta- analysis of 7 acarbose studies (an alpha-glucosidase inhibitor which reduces glucose absorption) 1 hour postprandial glucose was reduced by 1.6 mmol/L and 2 h glucose by 2.2 mmol/l while HbA1c was reduced by 0.6% and myocardial infarctions were reduced by 64%. Acarbose also reduced weight, triglyceride and systolic blood pressure . Thus in this study the effect on 1 hour glucose is equivalent to acarbose but the drink is unlikely to have an effect on triglyceride and blood pressure but it may reduce weight long term. Although acarbose causes abdominal discomfort because of colonic fermentation of carbohydrate this did not occur in this study as we believe carbohydrate absorption was slowed but not inhibited to any degree. We are currently performing a 6 month randomised controlled trial examining the effect of a protein/fibre pre meal drink on HbA1c, weight and blood lipids.
In conclusion we have demonstrated that a low calorie protein/fibre drink acutely lowers glucose by 2 mmol/L in people with prediabetes and type 2 diabetes and thus could be a potential long term dietary strategy to reduce the glycemic impact of high carbohydrate meals. The drink is palatable and could be used on a daily or twice daily basis but we have no data on long term compliance yet.
- Evert AB, Boucher JL, Cypress M, Dunbar SA, Franz MJ, Mayer-Davis EJ, Neumiller JJ, Nwankwo R, Verdi CL, Urbanski P, Yancy WS: American Diabetes Association. Nutrition therapy recommendations for the management of adults with diabetes. Diabetes Care. 2013, 11: 3821-3842.View ArticleGoogle Scholar
- Thomas D, Elliott EJ: Low glycaemic index, or low glycaemic load, diets for diabetes mellitus. Cochrane Database Syst Rev. 2009, 1: CD006296-PubMedGoogle Scholar
- Brekke HK, Sunesson A, Axelsen M, Lenner RA: Attitudes and barriers to dietary advice aimed at reducing risk of type 2 diabetes in first-degree relatives of patients with type 2 diabetes. J Hum Nutr Dietet. 2004, 17: 513-521. 10.1111/j.1365-277X.2004.00566.x.View ArticleGoogle Scholar
- Ma J, Stevens JE, Cukier K, Maddox AF, Wishart JM, Jones KL, Clifton PM, Horowitz M, Rayner CK: Effects of a protein preload on gastric emptying, glycemia, and gut hormones after a carbohydrate meal in diet-controlled type 2 diabetes. Diabetes Care. 2009, 32: 1600-1602. 10.2337/dc09-0723.View ArticlePubMedPubMed CentralGoogle Scholar
- Samocha-Bonet D, Wong O, Synnott EL, Piyaratna N, Douglas A, Gribble FM, Holst JJ, Chisholm DJ, Greenfield JR: Glutamine reduces postprandial glycemia and augments the glucagon-like peptide-1 response in type 2 diabetes patients. J Nutr. 2011, 141: 1233-1238. 10.3945/jn.111.139824.View ArticlePubMedGoogle Scholar
- Wanders AJ, Feskens EJ, Jonathan MC, Schols HA, de Graaf C, Mars M: Pectin is not pectin: A randomized trial on the effect of different physicochemical properties of dietary fiber on appetite and energy intake. Physiol Behav. 2014, 128: 212-219.View ArticlePubMedGoogle Scholar
- Russo A, Stevens JE, Wilson T, Wells F, Tonkin A, Horowitz M, Jones KL: Guar attenuates fall in postprandial blood pressure and slows gastric emptying of oral glucose in type 2 diabetes. Dig Dis Sci. 2003, 48: 1221-1229. 10.1023/A:1024182403984.View ArticlePubMedGoogle Scholar
- Gentilcore D, Chaikomin R, Jones KL, Russo A, Feinle-Bisset C, Wishart JM, Rayner CK, Horowitz M: Effects of fat on gastric emptying of and the glycemic, insulin, and incretin responses to a carbohydrate meal in type 2 diabetes. J Clin Endocrinol Metab. 2006, 91: 2062-2067. 10.1210/jc.2005-2644.View ArticlePubMedGoogle Scholar
- Tagliaferro V, Cassader M, Bozzo C, Pisu E, Bruno A, Marena S, Cavallo-Perin P, Cravero L, Pagano G: Moderate guar-gum addition to usual diet improves peripheral sensitivity to insulin and lipaemic profile in NIDDM. Diabetes Metab. 1985, 11: 380-385.Google Scholar
- Wu T, Bound MJ, Zhao BR, Standfield SD, Bellon M, Jones KL, Horowitz M, Rayner CK: Effects of a D-xylose preload with or without sitagliptin on gastric emptying, glucagon-like peptide-1, and postprandial glycemia in type 2 diabetes. Diabetes Care. 2013, 36: 1913-1918. 10.2337/dc12-2294.View ArticlePubMedPubMed CentralGoogle Scholar
- Guerci B, Monnier L, Serusclat P, Petit C, Valensi P, Huet D, Raccah D, Colette C, Quéré S, Dejager S: Continuous glucose profiles with vildagliptin versus sitagliptin in add-on to metformin: results from the randomized Optima study. Diabetes Metab. 2012, 38: 359-366. 10.1016/j.diabet.2012.06.001.View ArticlePubMedGoogle Scholar
- Zhan M, Xu T, Wu F, Tang Y: Sitagliptin in the treatment of type 2 diabetes: a meta-analysis. J Evid Based Med. 2012, 5: 154-165. 10.1111/j.1756-5391.2012.01189.x.View ArticlePubMedGoogle Scholar
- Esposito K, Maiorino MI, Di Palo C, Giugliano D, Campanian Post-Prandial Hyperglycemia Study Group: Dietary glycemic index and glycemic load are associated with metabolic control in type 2 diabetes: The CAPRI experience. Metab Syndr Relat Disord. 2010, 8: 255-261. 10.1089/met.2009.0096.View ArticlePubMedGoogle Scholar
- Jenkins DJ, Kendall CW, McKeown-Eyssen G, Josse RG, Silverberg J, Booth GL, Vidgen E, Josse AR, Nguyen TH, Corrigan S, Banach MS, Ares S, Mitchell S, Emam A, Augustin LS, Parker TL, Leiter LA: Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA. 2008, 300: 2742-2753. 10.1001/jama.2008.808.View ArticlePubMedGoogle Scholar
- Opperman AM, Venter CS, Oosthuizen W, Thompson RL, Vorster HH: Meta-analysis of the health effects of using the glycaemic index in meal-planning. Br J Nutr. 2004, 92: 367-381. 10.1079/BJN20041203.View ArticlePubMedGoogle Scholar
- Akhavan T, Luhovyy BL, Brown PH, Cho CE, Anderson GH: Effect of premeal consumption of whey protein and its hydrolysate on food intake and postmeal glycemia and insulin responses in young adults. Am J Clin Nutr. 2010, 91: 966-975. 10.3945/ajcn.2009.28406.View ArticlePubMedGoogle Scholar
- Gunnerud UJ, Heinzle C, Holst JJ, Östman EM, Björck IM: Effects of pre-meal drinks with protein and amino acids on glycemic and metabolic responses at a subsequent composite meal. PLoS One. 2012, 7 (9): e44731-10.1371/journal.pone.0044731.View ArticlePubMedPubMed CentralGoogle Scholar
- Akhavan T, Luhovyy BL, Panahi S, Kubant R, Brown PH, Anderson GH: Mechanism of action of pre-meal consumption of whey protein on glycemic control in young adults. J Nutr Biochem. 2014, 25: 36-43. 10.1016/j.jnutbio.2013.08.012.View ArticlePubMedGoogle Scholar
- Hanefeld M, Fischer S, Julius U, Schulze J, Schwanebeck U, Schmechel H, Ziegelasch HJ, Lindner J: Risk factors for myocardial infarction and death in newly detected NIDDM: the Diabetes Intervention Study, 11-year follow-up. Diabetologia. 1996, 39: 1577-1583. 10.1007/s001250050617.View ArticlePubMedGoogle Scholar
- Cavalot F, Petrelli A, Traversa M, Bonomo K, Fiora E, Conti M, Anfossi G, Costa G, Trovati M: Postprandial blood glucose is a stronger predictor of cardiovascular events than fasting blood glucose in type 2 diabetes mellitus, particularly in women: lessons from the San Luigi Gonzaga Diabetes Study. J Clin Endocrinol Metab. 2006, 91: 813-819. 10.1210/jc.2005-1005.View ArticlePubMedGoogle Scholar
- Hanefeld M, Cagatay M, Petrowitsch T, Neuser D, Petzinna D: Acarbose reduces the risk for myocardial infarction in type 2 diabetic patients: meta-analysis of seven long-term studies. Eur Heart J. 2004, 25: 10-16. 10.1016/S0195-668X(03)00468-8.View ArticlePubMedGoogle Scholar
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