Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis
- 640 Downloads
Sugar-sweetened beverages (SSBs) are a major dietary contributor to fructose intake. A molecular pathway involving the carbohydrate responsive element-binding protein (ChREBP) and the metabolic hormone fibroblast growth factor 21 (FGF21) may influence sugar metabolism and, thereby, contribute to fructose-induced metabolic disease. We hypothesise that common variants in 11 genes involved in fructose metabolism and the ChREBP-FGF21 pathway may interact with SSB intake to exacerbate positive associations between higher SSB intake and glycaemic traits.
Data from 11 cohorts (six discovery and five replication) in the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided association and interaction results from 34,748 adults of European descent. SSB intake (soft drinks, fruit punches, lemonades or other fruit drinks) was derived from food-frequency questionnaires and food diaries. In fixed-effects meta-analyses, we quantified: (1) the associations between SSBs and glycaemic traits (fasting glucose and fasting insulin); and (2) the interactions between SSBs and 18 independent SNPs related to the ChREBP-FGF21 pathway.
In our combined meta-analyses of discovery and replication cohorts, after adjustment for age, sex, energy intake, BMI and other dietary covariates, each additional serving of SSB intake was associated with higher fasting glucose (β ± SE 0.014 ± 0.004 [mmol/l], p = 1.5 × 10−3) and higher fasting insulin (0.030 ± 0.005 [log e pmol/l], p = 2.0 × 10−10). No significant interactions on glycaemic traits were observed between SSB intake and selected SNPs. While a suggestive interaction was observed in the discovery cohorts with a SNP (rs1542423) in the β-Klotho (KLB) locus on fasting insulin (0.030 ± 0.011 log e pmol/l, uncorrected p = 0.006), results in the replication cohorts and combined meta-analyses were non-significant.
In this large meta-analysis, we observed that SSB intake was associated with higher fasting glucose and insulin. Although a suggestive interaction with a genetic variant in the ChREBP-FGF21 pathway was observed in the discovery cohorts, this observation was not confirmed in the replication analysis.
Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005121 (Framingham Offspring Study), NCT00005487 (Multi-Ethnic Study of Atherosclerosis) and NCT00005152 (Nurses’ Health Study).
KeywordsCarbohydrate metabolism Epidemiology Genetics Meta-analysis Nutrition Type 2 diabetes
Atherosclerosis Risk In Communities
Cohorts for Heart and Aging Research in Genomic Epidemiology
Carbohydrate responsive element-binding protein
Cardiovascular Health Study
Fibroblast growth factor 21
Framingham Heart Study
Minor allele frequency
Malmö Diet and Cancer
Multi-Ethnic Study of Atherosclerosis
Netherlands Epidemiology in Obesity Study
Nurses’ Health Study
Rotterdam Study I
Rotterdam Study II
Cardiovascular Risk in Young Finns Study
Infrastructure for the CHARGE Consortium is supported in part by the National Heart, Lung, and Blood Institute grant HL105756. Cohort-specific sources of support and acknowledgements are presented in ESM Table 1. We thank J. C. Florez (Diabetes Unit, Massachusetts General Hospital, USA) for his help in the genesis of this project. Preliminary results were presented as an abstract at the ADA 75th Scientific Sessions in 2015.
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
NMM received funding from the Boston Area Diabetes, Endocrinology Research Center Feasibility Program (P30 DK057521) to support part of this research, and she was funded in part by the US Department of Agriculture, under agreement No. 58-1950-0-014. MAH is supported by R01 DK100425. CES is supported by K08 HL112845. JBM is supported by K24DK080140 and U01DK078616. KLY is supported by KL2TR001109.
Duality of interest
BP serves on the Data and Safety Monitoring Board of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. All other authors declare no conflict of interest.
The authors’ responsibilities were as follows: NMM, HSD, JM and MAH: designed the study; NMM, HSD, JM, DEH, JCK-dJ, CES, TT, MG, RNL, DR, ES, ACF-W, DOM-K, YL, CAW, ETML, VM, KLY, KJM, LAC, C-AS, T-AC, RL-G, TH, WHO, OR, KR, JBM, UE, LMS, FRR, AH, MK, BMP, LB, AGU, JV, DSS, IS, KEN, DM, JD, MO-M, SSR, RdM, LQ, CEP, OHF, TL and MAH: played a role in acquisition of the data and critical revision of the manuscript for important intellectual content; NMM, HSD, JM, DEH, JCK-dJ, CES, TT, MG, RNL, DR, ES, ACF-W, DOM-K, YL, CAW, ETML, VM and MAH: contributed to statistical analyses; NMM, HSD, JM, DEH, JCK-dJ, CES, TT and MAH: interpreted data; NMM, HSD, JM, DEH, JCK-dJ, CES, TT, MG, RNL, DR, ES, ACF-W, DOM-K, YL, CAW, ETML, VM, JBM and MAH: contributed to writing of the manuscript; all authors read and approved the final version of the manuscript. NMM and HSD (joint co-first authors) are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
- 3.Imamura F, O’Connor L, Ye Z et al (2015) Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction. BMJ. https://doi.org/10.1136/bmj.h3576
- 7.Kuzma JN, Cromer G, Hagman DK et al (2016) No differential effect of beverages sweetened with fructose, high-fructose corn syrup, or glucose on systemic or adipose tissue inflammation in normal-weight to obese adults: a randomized controlled trial. Am J Clin Nutr 104:306–314CrossRefPubMedPubMedCentralGoogle Scholar
- 9.Centers for Disease Control 2017. Centers for Disease Control National Diabetes Statistics Report. www.cdc.gov/diabetes/data/statistics/statistics-report.html. Accessed 17 October 2017
- 28.Santer R, Rischewski J, von Weihe M et al (2005) The spectrum of aldolase B (ALDOB) mutations and the prevalence of hereditary fructose intolerance in Central Europe. Hum Mutat 25:594Google Scholar
- 51.Bremer AA, Auinger P, Byrd RS (2009) Relationship between insulin resistance-associated metabolic parameters and anthropometric measurements with sugar-sweetened beverage intake and physical activity levels in US adolescents: findings from the 1999–2004 National Health and Nutrition Examination Survey. Arch Pediatr Adolesc Med 163:328–335CrossRefPubMedPubMedCentralGoogle Scholar
- 61.Horton TJ, Gayles EC, Prach PA et al (1997) Female rats do not develop sucrose-induced insulin resistance. Am J Phys 272:R1571–R1576Google Scholar