Type 1 Diabetes Clinical Trial
Official title:
Effect of Changes in Carbohydrate Intake on Glucose Control in Patients With Type 1 Diabetes.
The blood glucose fluctuates greatly in T1DM patients, especially in the middle and late stages of the disease, and carbohydrate (CHO) is the main determinant of postprandial glucose response (PGR). Based on the previous investigation to understand how nutritional habits affect blood glucose control, we will conduct dietary intervention studies in T1DM patients to explore whether the adjustment of dietary pattern is beneficial to blood glucose control, and further explore the relevant mechanism through the detection of related metabolic indicators.
Status | Not yet recruiting |
Enrollment | 80 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 65 Years |
Eligibility | Inclusion Criteria: 1. Those who agree to participate in the study and sign informed consent; 2. Diagnosis of type 1 diabetes mellitus (ADA2024); 3. Age of 18~65 years; 4. Dependent on exogenous insulin therapy, the treatment plan remains unchanged within 2 months (the type of insulin cannot be changed, and the dose can be adjusted according to plasma glucose); 5. Body mass index (BMI) of 18~25kg/m2; 6. HbA1c =11%; Exclusion Criteria: 1. Honeymooners with type 1 diabetes mellitus; 2. Women who are pregnant or plan to become pregnant; 3. Patients who are vegetarians; 4. Patients who are users of oral hypoglycemic drugs (alpha-glucosidase inhibitors, DPP-IV inhibitors, etc.); 5. Patients who are users of glucocorticoids within 30 days; 6. History of severe food allergy; 7. Patients with acute complications such as DKA; 8. Patients with gastroparesis, inflammatory bowel disease and other complications; 9. Patients with large albuminuria and renal insufficiency; 10. Patients with uncontrolled hyperthyroidism and hypothyroidism; 11. History of heart disease, coronary heart disease and arrhythmia; 12. Serious of liver dysfunction (ALT or AST>3 times the upper limit of normal); 13. History of malignant tumors, uncontrolled other immune system diseases, uncontrolled infections; 14. Alcohol abuse, mental disorders or other conditions unfit to be an observer in drug tests; 15. Patients with any disease likely to interfere with study participation or evaluation. |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Yang Tao |
Berry SE, Valdes AM, Drew DA, Asnicar F, Mazidi M, Wolf J, Capdevila J, Hadjigeorgiou G, Davies R, Al Khatib H, Bonnett C, Ganesh S, Bakker E, Hart D, Mangino M, Merino J, Linenberg I, Wyatt P, Ordovas JM, Gardner CD, Delahanty LM, Chan AT, Segata N, Fran — View Citation
Bolla AM, Caretto A, Laurenzi A, Scavini M, Piemonti L. Low-Carb and Ketogenic Diets in Type 1 and Type 2 Diabetes. Nutrients. 2019 Apr 26;11(5):962. doi: 10.3390/nu11050962. — View Citation
Buehler LA, Noe D, Knapp S, Isaacs D, Pantalone KM. Ketogenic diets in the management of type 1 diabetes: Safe or safety concern? Cleve Clin J Med. 2021 Oct 1;88(10):547-555. doi: 10.3949/ccjm.88a.20121. — View Citation
Dabek A, Wojtala M, Pirola L, Balcerczyk A. Modulation of Cellular Biochemistry, Epigenetics and Metabolomics by Ketone Bodies. Implications of the Ketogenic Diet in the Physiology of the Organism and Pathological States. Nutrients. 2020 Mar 17;12(3):788. — View Citation
Kanikarla-Marie P, Jain SK. Hyperketonemia and ketosis increase the risk of complications in type 1 diabetes. Free Radic Biol Med. 2016 Jun;95:268-77. doi: 10.1016/j.freeradbiomed.2016.03.020. Epub 2016 Mar 29. — View Citation
Leow ZZX, Guelfi KJ, Davis EA, Jones TW, Fournier PA. The glycaemic benefits of a very-low-carbohydrate ketogenic diet in adults with Type 1 diabetes mellitus may be opposed by increased hypoglycaemia risk and dyslipidaemia. Diabet Med. 2018 May 8. doi: 1 — View Citation
Pasmans K, Meex RCR, van Loon LJC, Blaak EE. Nutritional strategies to attenuate postprandial glycemic response. Obes Rev. 2022 Sep;23(9):e13486. doi: 10.1111/obr.13486. Epub 2022 Jun 10. — View Citation
Rydin AA, Spiegel G, Frohnert BI, Kaess A, Oswald L, Owen D, Simmons KM. Medical management of children with type 1 diabetes on low-carbohydrate or ketogenic diets. Pediatr Diabetes. 2021 May;22(3):448-454. doi: 10.1111/pedi.13179. Epub 2021 Feb 16. — View Citation
Saslow LR, Mason AE, Kim S, Goldman V, Ploutz-Snyder R, Bayandorian H, Daubenmier J, Hecht FM, Moskowitz JT. An Online Intervention Comparing a Very Low-Carbohydrate Ketogenic Diet and Lifestyle Recommendations Versus a Plate Method Diet in Overweight Ind — View Citation
Smart CE, Evans M, O'Connell SM, McElduff P, Lopez PE, Jones TW, Davis EA, King BR. Both dietary protein and fat increase postprandial glucose excursions in children with type 1 diabetes, and the effect is additive. Diabetes Care. 2013 Dec;36(12):3897-902 — View Citation
Turton JL, Raab R, Rooney KB. Low-carbohydrate diets for type 1 diabetes mellitus: A systematic review. PLoS One. 2018 Mar 29;13(3):e0194987. doi: 10.1371/journal.pone.0194987. eCollection 2018. — View Citation
Vetrani C, Calabrese I, Cavagnuolo L, Pacella D, Napolano E, Di Rienzo S, Riccardi G, Rivellese AA, Annuzzi G, Bozzetto L. Dietary determinants of postprandial blood glucose control in adults with type 1 diabetes on a hybrid closed-loop system. Diabetolog — View Citation
Wong K, Raffray M, Roy-Fleming A, Blunden S, Brazeau AS. Ketogenic Diet as a Normal Way of Eating in Adults With Type 1 and Type 2 Diabetes: A Qualitative Study. Can J Diabetes. 2021 Mar;45(2):137-143.e1. doi: 10.1016/j.jcjd.2020.06.016. Epub 2020 Jun 27. — View Citation
Zinn C, Lenferna De La Motte KA, Rush A, Johnson R. Assessing the Nutrient Status of Low Carbohydrate, High-Fat (LCHF) Meal Plans in Children: A Hypothetical Case Study Design. Nutrients. 2022 Apr 12;14(8):1598. doi: 10.3390/nu14081598. — View Citation
* Note: There are 14 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change of time in range (TIR) | TIR represents percentage of time of glucose levels spent between 3.9 and 10.0 mmol/L based on CGMS. TIR changes from 2 weeks to baseline will be compared between the 2 interventions. | Baseline to 2 weeks | |
Secondary | Change of coefficient of variation of blood glucose(CV) | Reflect glucose fluctuation | Baseline to 2 weeks | |
Secondary | Change of mean amplitude of glycemic excursions(MAGE) | Reflect glucose fluctuation | Baseline to 2 weeks | |
Secondary | Change in large amplitude of glycemic excursions (LAGE) from baseline | Reflect glucose fluctuation | Baseline to 2 weeks | |
Secondary | Change in GA(glycosylated albumin)from baseline | Reflect 2~3 weeks of glycemic control | Baseline to 2 weeks | |
Secondary | Change in HbA1c from baseline | Reflect 2~3 months of glycemic control | Baseline to 14 weeks | |
Secondary | Change in 1,5-anhydroglucitol (1,5-AG) from baseline | Reflect 1~2 weeks of glycemic control | Baseline to 2 weeks and to 14 weeks | |
Secondary | Change in time above range(TAR) from baseline | Baseline to 2 weeks | ||
Secondary | Change in time below range(TBR) from baseline | Baseline to 2 weeks | ||
Secondary | Change in total insulin dose from baseline | Baseline to 2 weeks and to 14 weeks | ||
Secondary | Change in blood lipids from baseline | Baseline to 2 weeks and to 14 weeks | ||
Secondary | Change in body weight from baseline | Baseline to 2 weeks and to 14 weeks | ||
Secondary | Change in Incidence of hypoglycemic events from baseline | Reflects the safety of clinical trials | Baseline to 2 weeks and to 14 weeks | |
Secondary | Change in gut microbiota from baseline | Baseline to 2 weeks and to 14 weeks | ||
Secondary | Change in metabolomics from baseline | Baseline to 2 weeks and to 14 weeks | ||
Secondary | Change in autoimmunity from baseline | Baseline to 14 weeks |
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