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The effect of a low-carbohydrate high-fat diet and ethnicity on daily glucose profile in type 2 diabetes determined by continuous glucose monitoring

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Abstract

Background and aims

Nutrition is an integral part of type 2 diabetes (T2DM) treatment, but the optimal macronutrient composition is still debated and previous studies have not addressed the role of ethnicity in dietary response. The current study aims were to compare the effect of short-term glycemic response to low-carbohydrate high-fat (LC-HF) diet vs. high-carbohydrate low-fat (HC-LF) diet using continuous glucose monitoring (CGM) and to evaluate the response of individuals with T2DM of Yemenite (Y-DM) and non-Yemenite origin (NY-DM).

Methods

Twenty T2DM males, ten Y-DM and ten NY-DM underwent meal tolerance test and indexes of insulin resistance and secretion were calculated. Subsequently, patients were connected to CGM to assess daily glycemic control and glucose variability in response to isocaloric HC-LF or LC-HF diet, receiving each diet for 2 days by providing prepared meals. Daily glucose levels, area under the glucose curve (G-AUC) and parameters of glucose variability [standard deviation (SD), mean amplitude of glycemic excursions (MAGE) and mean absolute glucose (MAG)] were evaluated.

Results

The LC-HF resulted in a significantly lower G-AUC (p < 0.001) and in lower variability parameters (p < 0.001) vs. the HC-LF diet. However, Y-DM showed less reduction in glucose variability indices upon diet-switching vs. NY-DM; MAGE decreased, respectively, by 69% vs. 89%, p = 0.043 and MAG by 34% vs. 45%, p = 0.007 in Y-DM compared to NY-DM.

Conclusions

These results suggest that LC-HF diet is effective in reducing glycemic fluctuation in T2DM and that ethnicity may have a role in the response to dietary regime.

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Abbreviations

ADA:

American Diabetes Association

AUC:

Area under the curve

BMI:

Body mass index

CGM:

Continuous glucose monitor

G-AUC:

Area under the glucose curve

GIP:

Gastric inhibitory polypeptide

GLP1:

Glucagon-like peptide-1

HbA1c :

Hemoglobin A1c

HC:

High carbohydrate

HC-LF:

High carbohydrate low fat

LC:

Low carbohydrate

LC-HF:

Low carbohydrate high fat

MAG:

Mean absolute glucose

MAGE:

Mean amplitude of glycemic excursions

MUFA:

Monounsaturated fat

Y-DM:

Yemenite diabetes mellitus

NY-DM:

Non-Yemenite diabetes mellitus

PUFA:

Polyunsaturated fat

SAFA:

Saturated fat

SD:

Standard deviation

T2DM:

Type 2 diabetes mellitus

References

  1. American Diabetes Association (2018) 4. Lifestyle management: standards of medical care in diabetes-2018. Diabetes Care Suppl 2018:s38–s50

    Article  Google Scholar 

  2. Naude CE, Schoonees A, Senekal M, Young T, Garner P, Volmink J (2014) Low carbohydrate versus isoenergetic balanced diets for reducing weight and cardiovascular risk: a systematic review and meta-analysis. PLoS One 9:e100652

    Article  Google Scholar 

  3. Snorgaard O, Poulsen GM, Andersen HK, Astrup A (2017) Systematic review and meta-analysis of dietary carbohydrate restriction in patients with type 2 diabetes. BMJ 5:e000354

    Google Scholar 

  4. Sainsbury E, Kizirian NV, Partridge SR, Gill T, Colagiuri S, Gibson AA (2018) Effect of dietary carbohydrate restriction on glycemic control in adults with diabetes: a systematic review and meta-analysis. Diabetes Res Clin Pract 139:239–252

    Article  CAS  Google Scholar 

  5. Bueno NB, De Melo ISV, De Oliveira SL, Da Rocha Ataide T (2013) Very-low-carbohydrate ketogenic diet vs. low-fat diet for long-term weight loss: a meta-analysis of randomised controlled trials. Br J Nutr 110:1178–1187

    Article  CAS  Google Scholar 

  6. Van Wyk HJ, Davis RE, Davies JS (2016) A critical review of low-carbohydrate diets in people with Type 2 diabetes. Diabet Med 33:148–157

    Article  Google Scholar 

  7. Landgraf R (2004) The relationship of postprandial glucose to HbA1c. Diabetes Metab Res Rev 20:S9–S12

    Article  CAS  Google Scholar 

  8. Monnier L, Colette C, Boegner C, Pham TC, Lapinski H, Boniface H (2007) Continuous glucose monitoring in patients with type 2 diabetes: why? When? Whom? Diabetes Metab 33:247–252

    Article  CAS  Google Scholar 

  9. Monnier L, Colette C (2011) Glycemic variability: can we bridge the divide between controversies? Diabetes Care 34:1058–1059

    Article  Google Scholar 

  10. Smith-Palmer J, Brändle M, Trevisan R, Orsini Federici M, Liabat S, Valentine W (2014) Assessment of the association between glycemic variability and diabetes-related complications in type 1 and type 2 diabetes. Diabetes Res Clin Pract 105:273–284

    Article  CAS  Google Scholar 

  11. Hsu CC, Chang HY, Huang MC, Hwang SJ, Yang YC, Lee YS, Shin SJ, Tai TY (2012) HbA1c variability is associated with microalbuminuria development in type 2 diabetes: a 7-year prospective cohort study. Diabetologia 55:3163–3172

    Article  CAS  Google Scholar 

  12. Frontoni S, Di Bartolo P, Avogaro A, Bosi E, Paolisso G, Ceriello A (2013) Glucose variability: an emerging target for the treatment of diabetes mellitus. Diabetes Res Clin Pract 102:86–95

    Article  CAS  Google Scholar 

  13. Tay J, Luscombe-marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert GA, Yancy WS Jr, Brinkworth GD (2015) Comparison of low- and high-carbohydrate diets for type 2 diabetes management: a randomized trial. Am J Clin Nutr 102:780–790

    Article  CAS  Google Scholar 

  14. Tay J, Thompson CH, Luscombe-Marsh ND, Wycherley TP, Noakes M, Buckley JD, Wittert GA, Yancy WS, Brinkworth GD (2018) Effects of an energy-restricted low-carbohydrate, high unsaturated fat/low saturated fat diet versus a high-carbohydrate, low-fat diet in type 2 diabetes: a 2-year randomized clinical trial. Diabetes Obes Metab 20:858–871

    Article  CAS  Google Scholar 

  15. Tay J, Luscombe-Marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert GA, Yancy WS, Brinkworth GD (2014) A very low-carbohydrate, low-saturated fat diet for type 2 diabetes management: a randomized trial. Diabetes Care 37:2909–2918

    Article  CAS  Google Scholar 

  16. Takeuchi M, Okamoto K, Takagi T, Ishii H (2008) Ethnic difference in inter-East Asian subjects with normal glucose tolerance and impaired glucose regulation: a systematic review and meta-analysis focusing on fasting serum insulin. Diabetes Res Clin Pract 82:383–390

    Article  CAS  Google Scholar 

  17. Blaychfeld-Magnazi M, Zornitzki T, Ulman M, Madar Z, Knobler H (2016) Early beta-cell dysfunction characterizes males with type 2 diabetes of Yemenite origin. Acta Diabetol 53:567–574

    Article  CAS  Google Scholar 

  18. Matsuda M, De Fronzo RA (1999) Insulin sensitivity indices obtained from glucose tolerance testing: comparison with euglycemic insulin clamp. Diabetes Care 22:1462–1470

    Article  CAS  Google Scholar 

  19. Hill NR, Oliver NS, Choudhary P, Levy JC, Hindmarsh P, Matthews DR (2011) Normal reference range for mean tissue glucose and glycemic variability derived from continuous glucose monitoring for subjects without diabetes in different ethnic groups. Diabetes Technol Therap 13(9):921–928

    Article  Google Scholar 

  20. Purves RD (1992) Optimum numerical integration methods for estimation of area-under-the-curve (AUC) and area-under-the-moment-curve (AUMC. J Pharmacokinet Biopharm 20:211–226

    Article  CAS  Google Scholar 

  21. Feinman RD, Pogozelski WK, Astrup A, Bernstein RK, Fine EJ, Westman EC, Accurso A, Frassetto L, Gower BA, McFarlane SI et al (2015) Dietary carbohydrate restriction as the first approach in diabetes management: critical review and evidence base. Nutrition 31:1–13

    Article  CAS  Google Scholar 

  22. Numao S, Kawano H, Endo N, Yamada Y, Konishi M, Takahashi M, Sakamoto S (2012) Short-term low carbohydrate/high-fat diet intake increases postprandial plasma glucose and glucagon-like peptide-1 levels during an oral glucose tolerance test in healthy men. Eur J Clin Nutr 66:926–931

    Article  CAS  Google Scholar 

  23. Mansour A, Hosseini S, Larijani B, Pajouhi M, Mohajeri-Tehrani MR (2013) Nutrients related to GLP1 secretory responses. Nutrition 29:813–820

    Article  CAS  Google Scholar 

  24. Singh A (2015) Glucagon-like peptide 1 and dysglycemia: conflict in incretin science. Indian J Endocr Metab 19:182–187

    Article  CAS  Google Scholar 

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Acknowledgements

The authors wish to thank Ronit Harris for the statistical analysis.

Funding

This work was supported by the E’ELE Betamar organization Clinical Trial Registry: WHO—http://www.who.int/ictrp/unambiguous_identification/utn/en/ The Universal Trial Number (UTN): U1111-1124-0079.

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Authors and Affiliations

Authors

Contributions

MBM and NR designed the research, conducted the research, analyzed the data and wrote the paper. TZ contributed to the design conduction and analysis of the data. ZM designed the research, analyzed the data, reviewed/edited manuscript. HK designed the research, analyzed the data, and wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Moran Blaychfeld-Magnazi.

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Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Moran Blaychfeld-Magnazi and Naama Reshef are co-first authors.

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Blaychfeld-Magnazi, M., Reshef, N., Zornitzki, T. et al. The effect of a low-carbohydrate high-fat diet and ethnicity on daily glucose profile in type 2 diabetes determined by continuous glucose monitoring. Eur J Nutr 59, 1929–1936 (2020). https://doi.org/10.1007/s00394-019-02043-z

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