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3 Provident Clinical Research, Bloomington, IN and 4 The Dow Chemical Company, Midland, MI
* To whom correspondence should be addressed. E-mail: kmaki{at}providentcrc.com.
| ABSTRACT |
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| Introduction |
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There is growing interest in therapeutic interventions that modulate glycemic response. It has been suggested that lowering dietary glycemic load may be advantageous for individuals at risk for type 2 diabetes, coronary heart disease, and obesity (7–11). Over time, consumption of a high glycemic load diet by individuals with insulin resistance and compensatory hyperinsulinemia may contribute to pancreatic β-cell exhaustion and the eventual development of glucose intolerance (12,13).
One class of medications, the
-glucosidase inhibitors, delay starch digestion, thereby lowering postprandial glucose and insulin concentrations (14). The Study To Prevent Non-Insulin Dependent Diabetes Mellitus found that using an
-glucosidase inhibitor (acarbose) reduced new onset diabetes by 25%, new onset hypertension by 34%, and the cardiovascular event rate by 49%, compared with placebo, after 3.3 y of follow-up among subjects with impaired glucose tolerance (15,16). In a substudy, the acarbose group also showed less progression of carotid intima-media thickness, a surrogate marker for atherosclerosis, further supporting a possible beneficial effect on cardiovascular health (17). Given that highly viscous dietary fibers exert effects similar to acarbose on the rate of glucose absorption, it is reasonable to hypothesize that they might also have favorable effects on the risks for both diabetes and cardiovascular disease.
Hydroxypropylmethylcellulose (HPMC) and methylcellulose (MC) are modified cellulose fibers that produce viscous solutions in the GI tract (18,19). A previous study showed that 10 g of high viscosity (HV) HPMC consumed as part of a meal reduced peak blood glucose concentrations by 24% in subjects with type 2 diabetes compared with a cellulose control (20). The area under the plasma glucose curve from 0 to 6 h was also reduced by 15% (20). However, there were no significant effects of HV-HPMC on the blood glucose responses following a standard meal in healthy volunteers. More recently, our group showed that inclusion of 4.0 or 8.0 g of HV-HPMC with a breakfast meal significantly lowered peak glucose (14–15%), peak insulin (35–42%), and postprandial incremental areas for glucose (38–42%) and insulin (44–51%) in overweight and obese adults without diabetes (9).
This study evaluated the influences of lower doses of HV-HPMC (1 and 2 g) than have been previously studied on postprandial glucose and insulin responses in subjects at risk for diabetes. In addition, the effects of 2 g of ultra-HV (UHV) HPMC and 4 g of moderate viscosity MC on postprandial glucose and insulin responses were assessed.
| Materials and Methods |
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Subject selection.
Subjects were men and women (18–64 y of age) required to have a BMI
27.0 kg/m2 and < 40.0 kg/m2, to have good or excellent classification on a Vein Access Scale, and to be in apparent good health, as indicated by medical history and routine laboratory tests.
Subjects were excluded if they had diagnosed diabetes mellitus, fasting plasma glucose
7.0 mmol/L, or fasting plasma triglycerides
5.7 mmol/L. Subjects were also excluded if they had abnormal laboratory test results of clinical relevance, history of surgery for weight-reducing purposes, or a GI condition that could interfere with study product absorption. Subjects with uncontrolled hypertension or women who were pregnant or planning to be pregnant during the study period were not allowed to participate in the study. Subjects were also excluded if they took medications known to influence carbohydrate metabolism, including adrenergic blockers, diuretics, thiazolidinediones, systemic corticosteroids, or any class of hypoglycemic drug.
Clinic visits. Subjects had a screening visit and 5 test visits, each separated by at least 48 h. Informed consent and medical history were obtained at screening along with height and weight. Chemistry and hematology measurements were also taken at screening to assess general health status and an in-clinic urine pregnancy test was administered for all women <56 y of age.
For each test day, subjects reported to the clinic after a fast of at least 10 h. Body weight, vital signs, a 24-h diet recall (utilized to verify that the subject's usual diet contained at least 150 g of carbohydrate daily), and a meal tolerance test were completed at all test visits. For the meal tests, a venous catheter was inserted for collection of samples for measurement of plasma glucose and serum insulin concentrations pre-meal and at time (t) = 15, 30, 45, 60, 90, and 120 min, where t = 0 was the start of test meal consumption. A GI tolerability questionnaire was administered via telephone
24 h after the start of each meal tolerance test.
Test meals and experimental treatment. Qualified subjects were randomized to a treatment sequence by study staff who were unaware of the study treatments. Test articles were prepackaged and labeled with a test sequence, so neither the staff nor subjects knew what was consumed on each of the first 4 test days. Staff members, but not subjects, were aware that the final test product was MC.
Each test meal consisted of a bagel, butter, 23 g anhydrous glucose, and a powdered beverage mix (sugar-free Crystal Light lemonade) into which the HPMC or control had been incorporated (Table 1).
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Study product tolerance. Approximately 24 h after the start of each test meal, subjects were contacted by telephone for administration of the GI Tolerance Questionnaire. Subjects were asked to rate the presence and severity of 6 GI symptoms over the prior 24-h period, including gas/bloating, cramping, flatulence, nausea, constipation, and diarrhea/loose stool (21). These symptoms were measured on a 5-point scale: 0 = absent, 1 = much less than usual, 2 = somewhat less than usual, 3 = usual, 4 = somewhat more than usual, and 5 = much more than usual.
Laboratory measurements. Elmhurst Memorial Hospital (Elmhurst, IL) conducted all laboratory analyses utilizing Beckman instruments except where otherwise noted. Serum chemistry analysis was conducted on the LX20 and hematology (performed on EDTA whole blood) testing employed the 750. Urinalysis was completed using the IRIS/200 (IRIS International). The glucose oxidase method was used to measure plasma glucose (22) and a chemiluminescent immunoassay was utilized to determine serum insulin (23).
Statistical analyses.
An evaluable sample of 42 subjects was expected to provide 80% power (nominal
= 0.0106, 2-sided, to account for 10 comparisons) to detect differences in response of 0.55 SD in the incremental areas under the curves (IAUC) for glucose (24). A sample of 50 subjects was randomized to allow for attrition and noncompliance.
Statistical analyses were generated using SAS version 9.2 (SAS Institute). All data are reported as means ± SEM unless noted otherwise. The primary efficacy analysis was completed on an efficacy evaluable population that included all subjects who consumed the control product and at least 1 of the active products (HPMC or MC) and had 120 min of valid postprandial glucose and insulin values for both of these test conditions. The glucose and insulin IAUC from 0 to 120 min (where t = 0 was the start of the test meal) were calculated as described by Wolever et al. (6).
The Shapiro-Wilk test (25) was used to assess normality of the distribution of response variables. Where the normality assumption was rejected, rank transformations were employed. Glucose and insulin responses are expressed as medians and interquartile limits, because the normality assumptions were rejected (P < 0.05) for the distributions of these variables.
Repeated measures ANOVA was used to assess possible differences among test conditions. Paired t tests were used for pairwise comparisons for models where a significant F-ratio was present. All P-values reported for response variables are 2-sided and those <0.20 have been adjusted for multiple comparisons by multiplying by 4.717 to maintain the family-wise error rate at 0.05 (0.05/0.0106 = 4.717; 25).
| Results |
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Glucose and insulin responses. The peak glucose concentration was lower (P < 0.001) after the meal containing 2.0 g UHV-HPMC (median, interquartile limits: 7.1, 6.3–8.2 mmol/L) compared with the control meal (7.7, 6.6–8.7 mmol/L; Fig. 1A). No other test conditions differed for peak glucose concentrations or glucose IAUC values (Table 2).
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Tolerability. Adverse events overall, or by body system (body as a whole; central and peripheral nervous system; GI system; respiratory system; skin and appendages) did not differ after the various meals nor did any of the variables assessed with the GI tolerability questionnaire (data not shown).
| Discussion |
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In this trial, peak insulin concentrations were reduced by 9% with 1 g and 21% with 2 g of HV-HPMC. In a prior study, peak insulin concentrations were reduced by 35% (4 g HV-HPMC) and 42% (8 g HV-HPMC) vs. control. Taken together, the results from these 2 investigations are suggestive of a dose-response effect.
Studies in animals have shown that the effect of HV-HPMC and MC on glucose absorption is dependent upon the viscosity of the solution administered (19,26,27). In this study, the most viscous treatment, UHV-HPMC, tended to have the largest effect to blunt peak (–26%) and incremental (–33%) insulin responses and was the only condition for which peak glucose concentration was reduced (–7%) vs. control. Similar results have been reported for other viscous dietary fibers (2,4,5). For example, Leclere et al. (5) observed attenuated glucose and insulin responses following starch meals containing highly viscous guar gum compared with equal amounts of low-viscosity guar gum. Thus, it appears likely that both dose and the ability to form viscosity when hydrated are important determinants of the effects of a dietary fiber on postprandial glucose and insulin responses. The intermediate response of the lower viscosity, higher dose MC on postprandial insulin in this study is consistent with this hypothesis.
To the best of our knowledge, this study is one of very few trials to test the effects of MC on postprandial glucose and insulin responses. Previously, Jenkins et al. (2) provided small groups of healthy subjects (n = 5 or 6) different dietary fiber sources, including 14.5 g of low viscosity MC as part of a 50-g glucose tolerance test. Venous glucose and insulin concentrations were measured for 120 min. MC reduced the IAUC for glucose by 29% during the first hour. However, there were no differences in postprandial insulin concentrations. Our study in overweight and obese subjects utilized a lower dose of a more viscous formulation of MC, provided as part of a high-carbohydrate (75 g) meal. In contrast to the findings of Jenkins et al. (28), we observed a blunting of postprandial insulin levels but not of the postprandial glucose response.
Although still controversial, there is a growing body of literature supporting the concept that prolonging carbohydrate absorption may lower risks for diabetes and cardiovascular disease (8,15,16,28). The potential for such interventions to prevent or delay the onset of type 2 diabetes may be most pronounced for individuals with insulin resistance and/or mild glucose intolerance, before β-cell dysfunction is too advanced (15,29). Given the high prevalence of conditions such as impaired fasting glucose, impaired glucose tolerance, and the cardiometabolic syndrome in the U.S. population (30,31), if consumption of viscous dietary fiber proves to be efficacious for diabetes prevention, the public health implications would be substantial. Moreover, viscous fibers, including HPMC, have been found to effectively lower total and LDL cholesterol levels (32–36). Consumption of 10–25 g/d of viscous fiber is recommended as an adjunct to a diet low in saturated fat and cholesterol by the National Cholesterol Education Program (37).
A majority of published studies on viscous fibers has utilized acute doses of 5–15 g (2–5) to assess effects on postprandial glucose and insulin concentrations in subjects with and without diabetes. However, incorporation of such quantities of viscous fiber into a single serving of a palatable food product is challenging (38). Therefore, it is important to establish the lower limits of intake that might be expected to provide beneficial effects. In addition, many viscous fibers, such as β-glucan, pectin, and guar gum, are partially fermentable, which may produce GI symptoms such as bloating, cramping, and flatulence (39). Because HPMC and MC are resistant to fermentation by intestinal flora (40), they may be less likely to produce such side effects. In this study, the frequency and severity of GI complaints did not differ between the control and HPMC/MC treatment conditions, consistent with findings from studies in which HPMC has been consumed for periods of several weeks (34–36).
In summary, consumption of HV-HPMC, UHV-HPMC, and MC with a meal significantly blunted postprandial insulin excursions and was well tolerated in overweight and obese men and women. These findings add to those from prior studies suggesting that consumption of HPMC has potential therapeutic value in the management of risk factors for type 2 diabetes and cardiovascular disease.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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2 Author disclosures: K. C. Maki, M. Bell, D. M. Wilder, T. M. Rains, and M. S. Reeves received a research grant from The Dow Chemical Company; M. L. Carson, M. P. Miller and T. Turowski are employees of The Dow Chemical Company. ![]()
5 Abbreviations used: Cp, centipoise; GI, gastrointestinal; HPMC, hydroxypropylmethylcellulose; HV, high viscosity; IAUC, incremental area under the curve; MC, methylcellulose; rpm, revolutions per minute; t, time; UHV, ultra-high viscosity. ![]()
Manuscript received 24 July 2007. Initial review completed 23 August 2007. Revision accepted 6 November 2007.
| LITERATURE CITED |
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1. Blackburn NA, Redfern JS, Jarjis H, Holgate AM, Hanning I, Scarpello JH, Johnson IT, Read NW. The mechanism of action of guar gum in improving glucose tolerance in man. Clin Sci. 1984;66:329–36.[Medline]
2. Jenkins DJ, Wolever TM, Leeds AR, Gassull MA, Haisman P, Dilawari J, Goff DV, Metz GL, Alberti KG. Dietary fibres, fibre analogues, and glucose tolerance: importance of viscosity. BMJ. 1978;1:1392–4.
3. Pastors JG, Blaisdell PW, Balm TK, Asplin CM, Pohl SL. Psyllium fiber reduces rise in postprandial glucose and insulin concentrations in patients with non-insulin-dependent diabetes. Am J Clin Nutr. 1991;53:1431–5.
4. Wood PJ, Braaten JT, Scott FW, Riedel KD, Wolynetz MS, Collins MW. Effect of dose and modification of viscous properties of oat gum on plasma glucose and insulin following an oral glucose load. Br J Nutr. 1994;72:731–43.[CrossRef][Medline]
5. Leclere CJ, Champ M, Boillot J, Guille G, Lecannu G, Molis C, Bornet F, Krempf M, Delort-Laval J, et al. Role of viscous guar gums in lowering the glycemic response after a solid meal. Am J Clin Nutr. 1994;59:914–21.
6. Wolever TM, Vuksan V, Eshuis H, Spadafora P, Peterson RD, Chao ES, Storey ML, Jenkins DJ. Effect of method of administration of psyllium on glycemic response and carbohydrate digestibility. J Am Coll Nutr. 1991;10:364–71.[Abstract]
7. Van de Laar FA, Lucassen PL, Akkermans RP, Van de Lisdonk EH, De Grauw WJC. Alpha-glucosidase inhibitors for people with impaired glucose tolerance or impaired fasting blood glucose. Cochrane Database Syst Rev. 2006;CD005061: 10.1002/14651858.pub2.
8. Willett W, Manson J, Liu S. Glycemic index, glycemic load, and risk of type 2 diabetes. Am J Clin Nutr. 2002;76 Suppl:S274–80.
9. Maki KC, Carson ML, Miller MP, Turowski M, Wilder DM, Bell M, Ratcliff N, Reeves MS. High-viscosity hydroxypropylmethylcellulose blunts postprandial glucose and insulin responses. Diabetes Care. 2007;30:1039–43.
10. Schulze MB, Liu S, Rimm EB, Manson JE, Willett WC, Hu FB. Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr. 2004;80:348–56.
11. Maki KC, Rains TM, Kaden VM, Raneri KR, Davidson MH. Effects of a reduced-glycemic-load diet on body weight, body composition, and cardiovascular disease risk markers in overweight and obese adults. Am J Clin Nutr. 2007;85:724–34.
12. DeFronzo RA, Ferrannini E. Pathogenesis of NIDDM: a balanced overview. Diabetes Care. 1992;15:318–68.[Abstract]
13. Maki K. Dietary factors in the prevention of diabetes mellitus and coronary artery disease associated with the metabolic syndrome. Am J Cardiol. 2004;93 Suppl:C12–7.[Medline]
14. Van de Laar FA, Lucassen PL, Akkermans RP, Van de Lisdonk EH, Rutter GE, Van Weel C. Alpha-glucosidase inhibitors for patients with type 2 diabetes. Diabetes Care. 2005;28:154–62.
15. Chiasson J, Josse RG, Gomis R, Hanefeld M, Karasik A, Laakso M. Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIFFM randomization trial. Lancet. 2002;359:2072–7.[CrossRef][Medline]
16. Chiasson J, Josse RG, Gomis R, Hanefeld M, Karasik A, Laakso M. Acarbose treatment and the risk of cardiovascular disease and hypertension in patients with impaired glucose tolerance: the STOP-NIDDM trial. JAMA. 2003;290:486–94.
17. Hanefeld M, Chiasson JL, Koehler C, Henkel E, Schaper F, Temelkova-Kurktschiev T. Acarbose slows progression of intima-media thickness of the carotid arteries in subjects with impaired glucose tolerance. Stroke. 2004;35:1073–8.
18. Reppas C, Meyer JH, Sirois PJ, Dressman JB. Effects of hydroxypropylmethylcellulose on gastrointestinal transit and luminal viscosity in dogs. Gastroenterology. 1991;100:1217–23.[Medline]
19. Reppas C, Greenwood DE, Dressman JB. Longitudinal versus radial effects of hydroxypropyl-methylcellulose on gastrointestinal glucose absorption in dogs. Eur J Pharm Sci. 1999;8:211–9.[Medline]
20. Reppas C, Adair CH, Barnett JL, Berardi RR, DuRoss D, Swidan SZ, Thill PF, Tobey SW, Dressman JB. High viscosity hydroxypropylmethylcellulose reduces postprandial blood glucose concentrations in NIDDM patients. Diabetes Res Clin Pract. 1993;22:61–9.[Medline]
21. Buemann B, Toubro S, Ruben A, Astrup A. Human tolerance to a single, high dose of D-tagatose. Regul Toxicol Pharmacol. 1999;29:S66–70.[Medline]
22. Kadish AH, Hall DA. A new method for the continuous monitoring of blood glucose by measurement of dissolved oxygen. Clin Chem. 1965;11:869–75.[Abstract]
23. Allauzen SM, Joly S, Granier C, Molina F, Boulx O, Pau B, Bouanani M. Immunoanalysis of human insulin using monoclonal antibodies reveals antigenicity of evolutionarily conserved residues. Mol Immunol. 1995;32:27–36.[CrossRef][Medline]
24. Pocock SJ. Clinical trials: a practical approach. London: Wiley Publications; 1987.
25. Shapiro SS, Wilk MB. An analysis of variance test for normality. Biometrika. 1965;52:591–611.
26. Reppas C, Dressman JB. Viscosity modulates blood glucose response to nutrient solutions in dogs. Diabetes Res Clin Pract. 1992;17:81–8.[CrossRef][Medline]
27. Topping DL, Oakenfull D, Trimble RP, Illman RJ. A viscous fibre (methylcellulose) lowers blood glucose and plasma triglycerols and increases liver glycogen independently of volatile fatty acid production in the rat. Br J Nutr. 1988;59:21–30.[Medline]
28. Jenkins DJ, Kendall CW, Augustin LS, Vuksan V. High-complex carbohydrate or lente carbohydrate foods? Am J Med. 2002;113 Suppl 9B:S30–7.
29. Kirkman MS, Shankar RR, Shankar S, Shen C, Brizendine E, Baron A, McGill J. Treating postprandial hyperglycemia does not appear to delay progression of early type 2 diabetes: the Early Diabetes Intervention Program. Diabetes Care. 2006;29:2095–101.
30. Ford ES, Abbasi F, Reaven GM. Prevalence of insulin resistance and the metabolic syndrome with alternative definitions of impaired glucose. Atherosclerosis. 2005;181:143–8.[CrossRef][Medline]
31. Rosamond W, Flegal K, Friday G, Furie K, Go A, Greenlund K, Haase N, Ho M, Howard V, et al. for the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics—2007 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2007;115:e69–171.
32. Olson BH, Anderson SM, Becker MP, Anderson JW, Hunninghake DB, Jenkins DJ, LaRosa JC, Rippe JM, Roberts DW, et al. Psyllium-enriched cereals lower blood total cholesterol and LDL cholesterol, but not HDL cholesterol, in hypercholesterolemic adults: results of a meta-analysis. J Nutr. 1997;127:1973–80.
33. Brown L, Roener B, Willett WW, Sacks FM. Cholesterol-lowering effects of dietary fiber: a meta-analysis. Am J Clin Nutr. 1999;69:30–42.
34. Maki KC, Davidson MH, Malik KC, Albrecht HH, O'Mullane J, Daggy BP. Cholesterol lowering with high-viscosity hydroxypropylmethylcellulose. Am J Cardiol. 1999;84:1198–203.[Medline]
35. Maki KC, Davidson MH, Torro S, Ingram KA, O'Mullane J, Daggy BP, Albrecht HH. High- molecular weight hydroxypropylmethylcellulose taken with or between meals is hypocholesterolemic in adult men. J Nutr. 2000;130:1705–10.
36. Dressman JB, Adair CH, Barnett JL, Berardi RR, Dunn-Kucharski VA, Jarvenpaa KM, Parr DD, Sowle CA, Swidan SZ, et al. High molecular-weight hydroxypropylmethylcellulose. A cholesterol-lowering agent. Arch Intern Med. 1993;153:1345–53.
37. Executive summary of the Third Report of the National Cholesterol Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285:2486–97.
38. Ellis PR, Dawoud FM. Blood glucose, plasma insulin and sensory responses to guar-containing wheat breads: effects of molecular weight and particle size of guar gum. Br J Nutr. 1991;66:363–79.[CrossRef][Medline]
39. Bianchi M, Capurso L. Effects of guar gum, ispaghula and microcrystalline cellulose on abdominal symptoms, gastric emptying, orocaecal transit time and gas production in healthy volunteers. Dig Liver Dis. 2002;34:S129–33.[Medline]
40. Wyatt GM, Horn N, Gee JM, Johnson IT. Intestinal microflora and gastrointestinal adaptation in the rat in response to non-digestible dietary polysaccharides. Br J Nutr. 1988;60:197–207.[CrossRef][Medline]
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