Effect of fructose on glycemic control in diabetes: a systematic review and meta-analysis of controlled feeding trials

Adrian I Cozma, John L Sievenpiper, Russell J de Souza, Laura Chiavaroli, Vanessa Ha, D David Wang, Arash Mirrahimi, Matt E Yu, Amanda J Carleton, Marco Di Buono, Alexandra L Jenkins, Lawrence A Leiter, Thomas M S Wolever, Joseph Beyene, Cyril W C Kendall, David J A Jenkins, Adrian I Cozma, John L Sievenpiper, Russell J de Souza, Laura Chiavaroli, Vanessa Ha, D David Wang, Arash Mirrahimi, Matt E Yu, Amanda J Carleton, Marco Di Buono, Alexandra L Jenkins, Lawrence A Leiter, Thomas M S Wolever, Joseph Beyene, Cyril W C Kendall, David J A Jenkins

Abstract

Objective: The effect of fructose on cardiometabolic risk in humans is controversial. We conducted a systematic review and meta-analysis of controlled feeding trials to clarify the effect of fructose on glycemic control in individuals with diabetes.

Research design and methods: We searched MEDLINE, EMBASE, and the Cochrane Library (through 22 March 2012) for relevant trials lasting ≥7 days. Data were aggregated by the generic inverse variance method (random-effects models) and expressed as mean difference (MD) for fasting glucose and insulin and standardized MD (SMD) with 95% CI for glycated hemoglobin (HbA(1c)) and glycated albumin. Heterogeneity was assessed by the Cochran Q statistic and quantified by the I(2) statistic. Trial quality was assessed by the Heyland methodological quality score (MQS).

Results: Eighteen trials (n = 209) met the eligibility criteria. Isocaloric exchange of fructose for carbohydrate reduced glycated blood proteins (SMD -0.25 [95% CI -0.46 to -0.04]; P = 0.02) with significant intertrial heterogeneity (I(2) = 63%; P = 0.001). This reduction is equivalent to a ~0.53% reduction in HbA(1c). Fructose consumption did not significantly affect fasting glucose or insulin. A priori subgroup analyses showed no evidence of effect modification on any end point.

Conclusions: Isocaloric exchange of fructose for other carbohydrate improves long-term glycemic control, as assessed by glycated blood proteins, without affecting insulin in people with diabetes. Generalizability may be limited because most of the trials were <12 weeks and had relatively low MQS (<8). To confirm these findings, larger and longer fructose feeding trials assessing both possible glycemic benefit and adverse metabolic effects are required.

Trial registration: ClinicalTrials.gov NCT01363791.

Figures

Figure 1
Figure 1
Flowchart of literature search for the effect of fructose on glycemic end points (fasting glucose, fasting insulin, and glycated blood proteins [HbA1c and glycated albumin]). Electronic searches of Cochrane Library, EMBASE and MEDLINE databases were supplemented by manual searches of the references of included trials. DM 1, type 1 diabetes; DM 2, type 2 diabetes; DM 1/2, both type 1 and type 2 diabetes.
Figure 2
Figure 2
Forest plot of controlled feeding trials investigating the effect of isocaloric exchange of fructose for other carbohydrate on (A) glycated blood proteins (HbA1c and glycated albumin), (B) fasting glucose, and (C) fasting insulin. Data are SMD for glycated blood proteins and MD for fasting glucose and insulin with 95% CI (16). P values are for generic inverse variance random effects models. Interstudy heterogeneity was tested by the Cochran Q statistic (χ2) at a significance level of P < 0.1 and quantified by I2 (2,16). There were no studies investigating type 1 or undifferentiated diabetes for fasting insulin. CHO, carbohydrate. (A high-quality color representation of this figure is available in the online issue.)
Figure 2
Figure 2
Forest plot of controlled feeding trials investigating the effect of isocaloric exchange of fructose for other carbohydrate on (A) glycated blood proteins (HbA1c and glycated albumin), (B) fasting glucose, and (C) fasting insulin. Data are SMD for glycated blood proteins and MD for fasting glucose and insulin with 95% CI (16). P values are for generic inverse variance random effects models. Interstudy heterogeneity was tested by the Cochran Q statistic (χ2) at a significance level of P < 0.1 and quantified by I2 (2,16). There were no studies investigating type 1 or undifferentiated diabetes for fasting insulin. CHO, carbohydrate. (A high-quality color representation of this figure is available in the online issue.)
Figure 2
Figure 2
Forest plot of controlled feeding trials investigating the effect of isocaloric exchange of fructose for other carbohydrate on (A) glycated blood proteins (HbA1c and glycated albumin), (B) fasting glucose, and (C) fasting insulin. Data are SMD for glycated blood proteins and MD for fasting glucose and insulin with 95% CI (16). P values are for generic inverse variance random effects models. Interstudy heterogeneity was tested by the Cochran Q statistic (χ2) at a significance level of P < 0.1 and quantified by I2 (2,16). There were no studies investigating type 1 or undifferentiated diabetes for fasting insulin. CHO, carbohydrate. (A high-quality color representation of this figure is available in the online issue.)

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Source: PubMed

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