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Postprandial glycemic response to isocaloric carbohydrate load in men with different types of obesity

https://doi.org/10.14341/omet13085

Abstract

BACKGROUND: Carbohydrates exert major impact on postprandial blood glucose levels. Diet therapy for obesity and diabetes mellitus usually implies dietary restrictions on the amount, type and daily distribution of carbohydrates, wherein the timing of meals and its composition play a significant role. However currently there is insufficient evidence-based data to guide how carbohydrates consumption should be distributed during a day in obese men.
AIM: To investigate postprandial glucose levels in response to an isocaloric carbohydrate load at main meals (breakfast, lunch, dinner) in individuals with different types of obesity.
MATERIALS AND METHODS: The study enrolled men aged 25 to 65 years. The total number of study participants was 43 men. Group 1 (n=17) consisted of obese men with subcutaneous type of fat distribution (SFD) while group 2 (n=16) was represented by obese men with abdominal type of fat distribution (AFD). Group 3 (comparators) consisted of 10 men with normal body weight (NBW). The duration of continuous glucose monitoring was 5–6 days. Observation period included 3 days of usual physical and work activity regimens. Glycemic response on carbohydrate isocaloric load was assessed on different days and mealtime. During first and fifth days men were instructed to eat as usual without any restrictions. Standard carbohydrate breakfast was introduced during the second day while standard carbohydrate lunch and dinner were performed at the third and fourth days respectively.
RESULTS: Results of isocaloric carbohydrate load representing different standard meals (breakfast, lunch, dinner) showed that in NBW men the most intense utilization of glucose occurs in the morning during breakfast. Glucose tolerance was significantly lower at all meals in AFD men group comparing to men with NBW and SFD. In men with SFD glucose tolerance was relatively lower than in NBW men only during standard breakfast. At lunch and dinner time disposition of the glycemic curve in men with SFD and NBW didn’t significantly differ.
CONCLUSION: Dividing men according to obesity phenotypes allows to identify features of regulation of carbohydrate metabolism and as a result to reveal different risk levels of type 2 diabetes and its’ complications. The combination of continuous glucose monitoring with dietary control can significantly increase the effectiveness of therapeutic interventions for obesity and offers a pathogenetic approach to personalized diet therapy

About the Authors

B. B. Pinkhasov
Federal Research Center for Fundamental and Translational Medicine; Novosibirsk State Medical University
Russian Federation

Boris B. Pinkhasov, MD, PhD

2 Timakova street, 630117 Novosibirsk


Competing Interests:

None



M. Yu. Sorokin
Federal Research Center for Fundamental and Translational Medicine
Russian Federation

Maxim Yu. Sorokin, post-graduated student

2 Timakova street, 630117 Novosibirsk


Competing Interests:

None



V. G. Selyatitskaya
Federal Research Center for Fundamental and Translational Medicine
Russian Federation

Vera G. Selyatitskaya, MD, PhD, Professor

2 Timakova street, 630117 Novosibirsk


Competing Interests:

None



References

1. Sharafetdinov HH, Plotnikova OA. Ozhirenie kak global'nyj vyzov XXI veka: lechebnoe pitanie, profilaktika i terapiya. Voprosy pitaniya. 2020;89(4):161-171. (In Russ.)

2. Eliashevich SO, Drapkina OM. Vozmozhnosti pitaniya v korrekcii massy tela pri saharnom diabete 2 tipa //Kardiovaskulyarnaya terapiya i profilaktika. 2023;22(6):69-77. (In Russ.) https://doi.org/10.15829/1728-8800-2023-3607

3. Misnikova IV, Zoloeva DE, Glazkov AA. Effect of meal time on postprandial glycemia in patients with type 2 diabetes mellitus and obesity not receiving insulin. Diabetes Mellitus. 2023;26(5):455-463. doi: https://doi.org/10.14341/DM13023

4. Pinkhasov BB, Selyatinskaya VG, Astrakhantseva EL, et al. Circadian rhythms of carbohydrate metabolism in women with different types of obesity. Bull Exp Biol Med. 2016;161(3):323-326. doi: 10.1007/s10517-016-3406-2

5. Manoogian ENC, Chow LS, Taub PR, et al. Time-restricted eating for the prevention and management of metabolic diseases. Endocr Rev. 2022;43(2):405-436. doi: 10.1210/endrev/bnab027.

6. McGinnis GR, Young ME. Circadian regulation of metabolic homeostasis: causes and consequences. Nat Sci Sleep. 2016 May 27:8:163-180. doi: 10.2147/NSS.S78946

7. Sofer S, Eliraz A, Kaplan S, et al. Greater weight loss and hormonal changes after 6 months diet with carbohydrates eaten mostly at dinner. Obesity (Silver Spring). 2011;19(10):2006-2014. doi: 10.1038/oby.2011.48

8. Alves RDM, de Oliveira FCE. Eating carbohydrate mostly at lunch and protein mostly at dinner within a covert hypocaloric diet influences morning glucose homeostasis in overweight/obese men. Eur J Nutr. 2014;53(1):49-60. doi: 10.1007/s00394-013-0497-7

9. Almoosawi S, Prynne CJ, Hardy R, et al. Time-of-day and nutrient composition of eating occasions: prospective association with the metabolic syndrome in the 1946 British birth cohort. Int J Obes (Lond). 2013;37(5):725-731. doi: 10.1038/ijo.2012.103

10. Hegedus E, Salvy SJ, Wee CP, et al. Use of continuous glucose monitoring in obesity research: a scoping review. Obes Res Clin Pract. 2021;15(5):431-438. doi: 10.1016/j.orcp.2021.08.006.

11. Rasmussen L, Christensen ML, Poulsen CW, et al. Effect of high versus low carbohydrate intake in the morning on glycemic variability and glycemic control measured by continuous blood glucose monitoring in women with gestational diabetes mellitus—a randomized crossover study. Nutrients. 2020;12(2):475. doi: 10.3390/nu12020475

12. Moreno-Castilla C, Mauricio D, Hernandez M. Role of medical nutrition therapy in the management of gestational diabetes mellitus. Curr Diab Rep. 2016;16(4):22. doi: 10.1007/s11892-016-0717-7

13. Jakubowicz D, Wainstein J, Ahren B, et al. High-energy breakfast with low-energy dinner decreases overall daily hyperglycaemia in type 2 diabetic patients: A randomised clinical trial. Diabetologia. 2015;58(5):912-919. doi: 10.1007/s00125-015-3524-9

14. Tamas G, Kerenyi Z. Gestational diabetes: Current aspects on pathogenesis and treatment. Exp Clin Endocrinol Diabetes. 2001;109 Suppl 2:S400-411. doi: 10.1055/s-2001-18598

15. Meessen EC, Warmbrunn MV, Nieuwdorp M, et al. Human postprandial nutrient metabolism and low-grade inflammation: A narrative review. Nutrients. 2019;11(12):3000. doi: https://doi.org/10.3390/nu11123000

16. Shahim B, De Bacquer D, De Backer G, et al. The prognostic value of fasting plasma glucose, two-hour postload glucose, and HbA1c in patients with coronary artery disease: A report from EUROASPIRE IV. Diabetes Care. 2017;40(9):1233-1240. doi: https://doi.org/10.2337/dc17-0245

17. Dehghan M, Mente A, Rangarajan S, et al. Association of dairy intake with cardiovascular disease and mortality in 21 countries from five continents (PURE): a prospective cohort study. Lancet. 2018;392(10161):2288-2297. doi: 10.1016/S0140-6736(18)31812-9

18. Raza GS, Sodum N, Kaya Y, et al. Role of circadian transcription factor rev-erb in metabolism and tissue fibrosis. Int J Mol Sci. 2022;23(21):12954. doi: https://doi.org/10.3390/ijms232112954

19. Matenchuk BA, Mandhane PJ, Kozyrskyj AL. Sleep, circadian rhythm, and gut microbiota. Sleep Med Rev. 2020;53(6):101340. doi: https:// doi.org/10.1016/j.smrv.2020.101340

20. Morgan LM, Shi JW, Hampton SM, et al. Effect of meal timing and glycaemic index on glucose control and insulin secretion in healthy volunteers. Br J Nutr. 2012;108(7):1286-1291. doi: 10.1017/S0007114511006507

21. Gibbs M, Harrington D, Starkey S, et al. Diurnal postprandial responses to low and high glycaemic index mixed meals. Clin nutr. 2014;33(5):889-894. doi: 10.1016/j.clnu.2013.09.018

22. Walther B, Lett AM, Bordoni A, et al. GutSelf: Interindividual variability in the processing of dietary compounds by the human gastrointestinal tract. Mol Nutr Food Res. 2019;63(21). doi: https://doi.org/10.1002/mnfr.201900677


Supplementary files

1. Figure 1. Postprandial glucose levels in individuals with different types of fat distribution after a carbohydrate-rich breakfast.
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Type Исследовательские инструменты
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2. Figure 2. Postprandial glucose levels in individuals with different types of fat distribution after a carbohydrate-rich lunch.
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3. Figure 3. Postprandial glucose levels in individuals with different types of fat distribution after a carbohydrate-rich dinner.
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Type Исследовательские инструменты
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Indexing metadata ▾

Review

For citations:


Pinkhasov B.B., Sorokin M.Yu., Selyatitskaya V.G. Postprandial glycemic response to isocaloric carbohydrate load in men with different types of obesity. Obesity and metabolism. 2024;21(4):348-356. (In Russ.) https://doi.org/10.14341/omet13085

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ISSN 2071-8713 (Print)
ISSN 2306-5524 (Online)