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Weight gain and insulin sensitivity: a role for the glycaemic index and dietary fibre?

Published online by Cambridge University Press:  27 November 2012

Michelle Sleeth
Affiliation:
Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, 6th Floor, Commonwealth Building, Imperial College Hammersmith Campus, Du Cane Road, London W12 ONN, UK email [email protected]
Arianna Psichas
Affiliation:
Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, 6th Floor, Commonwealth Building, Imperial College Hammersmith Campus, Du Cane Road, London W12 ONN, UK email [email protected]
Gary Frost
Affiliation:
Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, 6th Floor, Commonwealth Building, Imperial College Hammersmith Campus, Du Cane Road, London W12 ONN, UK email [email protected]
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Abstract

Type
Invited Commentary
Copyright
Copyright © The Authors 2012

Since its first description by Jenkins et al. (Reference Jenkins, Wolever and Jenkins1) in the 1980s, the glycaemic index (GI) has been used as a dietary tool to enhance the glycaemic control of people living with diabetes. The management of glycaemia is relevant today more than ever, with an estimated 2·9 million people currently affected by type 2 diabetes in the UK(2). However, the GI as a concept has dipped in and out of scientific fashion. By its nature, the GI is highly complex in that it hinges on a number of physico-chemical properties of carbohydrates, such as the chemical structure of the carbohydrate, the surrounding food matrix and the processing it undergoes(Reference Wolever, Jenkins and Jenkins3). The fact that GI measurements are confounded by other food components within the diet serves as an additional layer of complexity(Reference Levitan, Westgren and Liu4). Consequently, the concept of the GI has been met, at times, with scepticism and some have found it challenging to embrace. However, one could argue that the proof is in the eating. There are now two high-quality systematic reviews that demonstrate the clinical utility of the GI in the management of type 2 diabetes(Reference Brand-Miller, Hayne and Petocz5, 6), and a 24-week randomised controlled trial demonstrating a 0·5 % fall in glycosylated Hb(Reference Jenkins, Kendall and McKeown-Eyssen7). There is also a Cochrane systematic review which suggests that the GI may play a role in promoting weight loss(8). Therefore, the literature, as it currently stands, presents a convincing case for the clinical application of the GI in the management of body weight and glucose homeostasis.

In this issue of the British Journal of Nutrition, Lagerpusch et al. (Reference Lagerpusch, Enderle and Later9) observed that in the dynamic phase of weight gain, a high-fibre, low-GI diet reduced daytime measurements of interstitial glucose when compared with an energy-matched low-fibre, high-GI diet. Furthermore, the deterioration in insulin sensitivity induced by refeeding was attenuated, though the effects of the two dietary interventions were resolved at the end of the refeeding phase. The authors claim that there is public health relevance to this, as many adults demonstrate short-term weight cycling, i.e. repeated cycles of weight loss and weight regain. Indeed, estimations of the prevalence of weight cycling are within the range of 18–34 and 20–55 % for men and women, respectively(Reference Syngal, Coakley and Willett10Reference Tsai, Leitzmann and Willett12). However, the health effects associated with weight cycling are largely unknown(Reference Albu and Reed13, Reference Wannamethee, Shaper and Walker14). This study by Lagerpusch et al. (Reference Lagerpusch, Enderle and Later9) is the first to examine the impact of the GI on insulin sensitivity during and after weight regain in young healthy individuals using multiple indices of glucose and insulin homeostasis. The experimental diets differed not only in the GI (74 v. 40 GI units) but also in dietary fibre content (27 v. 64 g). The authors do not offer any suggestions as to which specific dietary manipulation they believe may be driving their observed improvements in glucose metabolism and insulin sensitivity. However, previous studies have attempted to answer this question.

In two large-scale epidemiological studies (the Nurses' Health Study and Health Professionals Follow-up Study), it has been demonstrated that the risk of developing type 2 diabetes increases with a concomitant increase in dietary glycaemic load (the GI multiplied by the amount of carbohydrate consumed) and a reduction in fibre consumption(Reference Salmeron, Ascherio and Rimm15Reference Schulze, Liu and Rimm17). The uncoupling of these two aspects of the diet meant that the relationship disappeared or was significantly weaker. Furthermore, the Reading, Imperial, Surrey, Cambridge, and Kings (RISCK) study, a large multicentre dietary intervention in over 500 adults at risk of CVD, aimed to elucidate how dietary changes may influence insulin sensitivity and other CVD risk factors(Reference Jebb, Lovegrove and Griffin18). A surprising finding of the study was the absence of an improvement in insulin sensitivity following a low- v. high-GI diet. However, in this study, the total amount of fibre was matched in both the high- and low-GI groups. This raises the intriguing question of whether the dietary deconstruction seen in most nutritional interventions, in line with the current reductionist scientific approach, is actually detrimental. By controlling for every aspect of the diet, could we actually be missing important physiological effects that occur from dietary manipulations which often go hand-in-hand, like GI and dietary fibre?

The mechanisms underlying the beneficial effects of high-fibre, low-GI diets on insulin sensitivity are complex and multifactorial. In the gastrointestinal tract, low-GI diets with a high fibre content slow gastric emptying, reduce digesta transit rate and alter the luminal environment, all of which will ultimately delay glucose absorption and result in an ameliorated insulin response(Reference Wolever19). High-fibre, low-GI foods may also influence insulin sensitivity via mechanisms independent of actions within the upper gastrointestinal tract. For example, high-fibre, low-GI diets may promote insulin sensitivity by improving metabolic flexibility, i.e. the ability of an organism to modify fuel oxidation in response to changes in nutrient availability. Metabolic flexibility enables an efficient transition from lipid oxidation and high rates of fatty acid uptake during the fasted state, to suppression of lipid oxidation and increased glucose uptake and utilisation in response to insulin stimulation(Reference Galgani, Moro and Ravussin20). In the 1990s, it was demonstrated that exposure to a low-GI diet over a 4-week period increases whole-body insulin sensitivity and suppresses circulating NEFA levels(Reference Frost, Keogh and Smith21, Reference Frost, Leeds and Trew22), an effect probably due to increased insulin-stimulated NEFA uptake at the level of the adipocyte(Reference Frost, Leeds and Trew22). In support of this, an elegant human study by Robertson et al. (Reference Robertson, Bickerton and Dennis23) subsequently demonstrated that consumption of a fermentable fibre improved insulin sensitivity and reduced adipose tissue lipolysis. This coincided with a rise in the plasma levels of SCFA, end products of bacterial fibre fermentation in the distal gut. Research into the metabolic effects of SCFA has been gaining momentum since the identification of the G-protein-coupled SCFA receptors GPR41 and GPR43. The expression profile of these receptors in the adipose tissue, colon, liver and pancreas provides a plausible network by which these products of fermentation may have an impact upon insulin sensitivity and metabolic flexibility(Reference Cani, Knauf and Iglesias24). Evidence from GPR43 knockout mice suggests that SCFA may directly suppress lipolysis from adipocytes and lower circulating NEFA levels in vivo, effects associated with improved insulin sensitivity(Reference Ge, Li and Weiszmann25). Furthermore, SCFA are thought to promote the release of gut hormones such as glucagon-like peptide 1, an incretin which enhances first-phase insulin release, through the activation of GPR43.

The paper by Lagerpusch et al. attempts to further our understanding by bringing to light some interesting observations about complex high-fibre, low-GI diets and their ability to beneficially influence glucose homeostasis in the dynamic stages of weight regain, a relatively unexplored metabolic state. Important strengths of this study include the strictly controlled nutrition regimen and the comprehensive assessment of insulin sensitivity. However, this paper raises as many questions as it answers. With beneficial effects on glucose homeostasis being apparent only during the active weight-gain period and not seen at the end of the refeeding protocol, are the benefits of a high-fibre, low-GI diet largely acute? Similarly, does the lack of deterioration in any insulin sensitivity measurement between baseline and post-refeeding suggest that weight cycling is not detrimental to health, at least in terms of glucose metabolism? Are these findings in lean, healthy, young men directly applicable to higher-risk populations with existing glycaemic impairment? Lastly, can the methodological approach be taken a step further to unpick the mechanisms underlying the insulin-sensitising effects? The real strength of this paper is to act as a stimulus for further investigation into the complex physiological effects of a high-fibre, low-GI diet, the mechanisms underlying these effects and how they may be exploited to improve the management of glycaemia.

Acknowledgement

The authors declare no conflict of interest.

References

1Jenkins, DJ, Wolever, TM, Jenkins, AL, et al. (1983) The glycaemic index of foods tested in diabetic patients: a new basis for carbohydrate exchange favouring the use of legumes. Diabetologia 24, 257264.CrossRefGoogle ScholarPubMed
2 Diabetes UK (2012) Diabetes in the UK 2012. Key statistics on diabetes. http://www.diabetes.org.uk/Documents/Reports/Diabetes-in-the-UK-2012.pdf (accessed 27 September 2012).Google Scholar
3Wolever, TM, Jenkins, DJ, Jenkins, AL, et al. (1991) The glycemic index: methodology and clinical implications. Am J Clin Nutr 54, 846854.CrossRefGoogle ScholarPubMed
4Levitan, EB, Westgren, CW, Liu, S, et al. (2007) Reproducibility and validity of dietary glycemic index, dietary glycemic load, and total carbohydrate intake in 141 Swedish men. Am J Clin Nutr 85, 548553.Google Scholar
5Brand-Miller, J, Hayne, S, Petocz, P, et al. (2003) Low-glycemic index diets in the management of diabetes: a meta-analysis of randomized controlled trials. Diabetes Care 26, 22612267.Google Scholar
6Thomas D & Elliott EJ (2009) Low glycaemic index, or low glycaemic load, diets for diabetes mellitus. The Cochrane Database of Systematic Reviews, CD006296.Google Scholar
7Jenkins, DJ, Kendall, CW, McKeown-Eyssen, G, et al. (2008) Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA 300, 27422753.Google Scholar
8Thomas DE, Elliott EJ & Baur L (2007) Low glycaemic index or low glycaemic load diets for overweight and obesity. The Cochrane Database of Systematic Reviews, CD005105.Google Scholar
9Lagerpusch, M, Enderle, J, Later, W, et al. (2013) Impact of glycemic index and dietary fibre on insulin sensitivity during the refeeding phase of a weight cycle in young healthy men. Br J Nutr 109, 16061616.Google Scholar
10Syngal, S, Coakley, EH, Willett, WC, et al. (1999) Long-term weight patterns and risk for cholecystectomy in women. Ann Intern Med 130, 471477.Google Scholar
11Lahti-Koski, M, Mannisto, S, Pietinen, P, et al. (2005) Prevalence of weight cycling and its relation to health indicators in Finland. Obes Res 13, 333341.Google Scholar
12Tsai, CJ, Leitzmann, MF, Willett, WC, et al. (2006) Weight cycling and risk of gallstone disease in men. Arch Intern Med 166, 23692374.Google Scholar
13Albu, J & Reed, G (1995) Weight cycling: more questions than answers. Endocr Pract 1, 346352.Google Scholar
14Wannamethee, SG, Shaper, AG & Walker, M (2002) Weight change, weight fluctuation, and mortality. Arch Intern Med 162, 25752580.Google Scholar
15Salmeron, J, Ascherio, A, Rimm, EB, et al. (1997) Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care 20, 545550.Google Scholar
16Willett, W, Manson, J & Liu, S (2002) Glycemic index, glycemic load, and risk of type 2 diabetes. Am J Clin Nutr 76, 274S280S.Google Scholar
17Schulze, MB, Liu, S, Rimm, EB, et al. (2004) Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr 80, 348356.Google Scholar
18Jebb, SA, Lovegrove, JA, Griffin, BA, et al. (2010) Effect of changing the amount and type of fat and carbohydrate on insulin sensitivity and cardiovascular risk: the RISCK (Reading, Imperial, Surrey, Cambridge, and Kings) trial. Am J Clin Nutr 92, 748758.Google Scholar
19Wolever, TM (1990) The glycemic index. World Rev Nutr Diet 62, 120185.Google Scholar
20Galgani, JE, Moro, C & Ravussin, E (2008) Metabolic flexibility and insulin resistance. Am J Physiol Endocrinol Metab 295, E1009E1017.Google Scholar
21Frost, G, Keogh, B, Smith, D, et al. (1996) The effect of low-glycemic carbohydrate on insulin and glucose response in vivo and in vitro in patients with coronary heart disease. Metabolism 45, 669672.CrossRefGoogle ScholarPubMed
22Frost, G, Leeds, A, Trew, G, et al. (1998) Insulin sensitivity in women at risk of coronary heart disease and the effect of a low glycemic diet. Metabolism 47, 12451251.Google Scholar
23Robertson, MD, Bickerton, AS, Dennis, AL, et al. (2005) Insulin-sensitizing effects of dietary resistant starch and effects on skeletal muscle and adipose tissue metabolism. Am J Clin Nutr 82, 559567.Google Scholar
24Cani, PD, Knauf, C, Iglesias, MA, et al. (2006) Improvement of glucose tolerance and hepatic insulin sensitivity by oligofructose requires a functional glucagon-like peptide 1 receptor. Diabetes 55, 14841490.Google Scholar
25Ge, H, Li, X, Weiszmann, J, et al. (2008) Activation of G protein-coupled receptor 43 in adipocytes leads to inhibition of lipolysis and suppression of plasma free fatty acids. Endocrinol 149, 45194526.Google Scholar