Effect of Changes in Carbohydrate Intake Patterns on Glucose Control in Patients With Type 1 Diabetes
1 other identifier
interventional
80
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Aug 2024
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 23, 2023
CompletedFirst Posted
Study publicly available on registry
February 22, 2024
CompletedStudy Start
First participant enrolled
August 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2027
April 20, 2026
April 1, 2026
3.4 years
February 23, 2023
April 15, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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 will be compared between the 2 interventions.
Baseline to 2 weeks
Secondary Outcomes (17)
Coefficient of variation of blood glucose(CV)
Baseline to 2 weeks
Mean amplitude of glycemic excursions(MAGE)
Baseline to 2 weeks
Large amplitude of glycemic excursions (LAGE)
Baseline to 2 weeks
Change in HbA1c from baseline
Baseline to 14 weeks
Change in GA(glycosylated albumin)from baseline
Baseline to 2 weeks
- +12 more secondary outcomes
Study Arms (2)
diverse carbohydrate diet
EXPERIMENTALCarbohydrate provides 45\~55% of total dietary energy, protein 15\~20%, and fat 25 \~35%. Among them, 45\~50% of carbohydrate supply sources are refined grains, 45\~50% of carbohydrate supply sources are whole grains or beans. The total energy is divided into 3 meals per day. The breakfast provides 25\~30% of total energy, lunch 30\~40%,and dinner 30\~35%.
moderate carbohydrate diet
OTHERCarbohydrate provides 45\~55% of total dietary energy, protein 15\~20%, and fat 25\~35%. 90\~95% of the carbohydrate supply comes from refined grains. The total energy is divided into 3 meals per day. The breakfast provides 25\~30% of total energy, lunch 30\~40%,and dinner 30\~35%.
Interventions
Carbohydrate provides 45\~55% of total dietary energy, protein 15\~20%, and fat 25 \~35%. Among them, 45\~50% of carbohydrate supply sources are refined grains, 45\~50% of carbohydrate supply sources are whole grains or beans. The total energy is divided into 3 meals per day. The breakfast provides 25\~30% of total energy, lunch 30\~40%,and dinner 30\~35%.
Carbohydrate provides 45\~55% of total dietary energy, protein 15\~20%, and fat 25 \~35%. Among them, 90\~95% of carbohydrate supply sources are refined grains. The total energy is divided into 3 meals per day. The breakfast provides 25\~30% of total energy, lunch 30\~40%,and dinner 30\~35%.
Eligibility Criteria
You may qualify if:
- Those who agree to participate in the study and sign informed consent;
- Diagnosis of type 1 diabetes mellitus (ADA2024);
- Age of 18\~70 years;
- 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);
- Body mass index (BMI) of 18\~25kg/m2;
- HbA1c ≤11%;
You may not qualify if:
- Honeymooners with type 1 diabetes mellitus;
- Women who are pregnant or plan to become pregnant;
- Patients who are vegetarians or are undergoing weight loss;
- Patients who are users of oral hypoglycemic drugs (alpha-glucosidase inhibitors, DPP-IV inhibitors, etc.);
- Patients who are users of glucocorticoids within 30 days;
- History of severe food allergy;
- Patients with acute complications such as DKA or HHS within six months;
- Patients with gastroparesis, inflammatory bowel disease and other complications;
- Patients with large albuminuria(albumin-to-creatinine ratio\>34.09mg/mmol) and renal insufficiency(creatinine\>200umol/L);
- Patients with uncontrolled hyperthyroidism and hypothyroidism(Uncontrolled hyperthyroidism is defined as abnormal TSH and T4. Uncontrolled hypothyroidism is defined as TSH \> 10mIU/L.);
- History of heart disease, coronary heart disease and arrhythmia;
- Serious of liver dysfunction (ALT or AST\>3 times the upper limit of normal);
- History of malignant tumors; History of tumors or surgeries affecting digestion and nutrient absorption; Patients with a history of benign tumors, which is judged by the physician to be not suitable;
- Patients with uncontrolled other immune system diseases or uncontrolled infections;
- Alcohol abuse, drug abuse, mental disorders or other conditions unfit to be an observer in drug tests;
- +1 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yang Taolead
Study Sites (1)
First Affiliated Hospital, Nanjing Medical University
Nanjing, Jiangsu, 210029, China
Related Publications (23)
Bell E, Binkowski S, Sanderson E, Keating B, Smith G, Harray AJ, Davis EA. Substantial Intra-Individual Variability in Post-Prandial Time to Peak in Controlled and Free-Living Conditions in Children with Type 1 Diabetes. Nutrients. 2021 Nov 19;13(11):4154. doi: 10.3390/nu13114154.
PMID: 34836409BACKGROUNDClark AL, Yan Z, Chen SX, Shi V, Kulkarni DH, Diwan A, Remedi MS. High-fat diet prevents the development of autoimmune diabetes in NOD mice. Diabetes Obes Metab. 2021 Nov;23(11):2455-2465. doi: 10.1111/dom.14486. Epub 2021 Aug 2.
PMID: 34212475BACKGROUNDLejk A, Chrzanowski J, Cieslak A, Fendler W, Mysliwiec M. Effect of Nutritional Habits on the Glycemic Response to Different Carbohydrate Diet in Children with Type 1 Diabetes Mellitus. Nutrients. 2021 Oct 27;13(11):3815. doi: 10.3390/nu13113815.
PMID: 34836071BACKGROUNDThewjitcharoen Y, Wanothayaroj E, Jaita H, Nakasatien S, Butadej S, Khurana I, Maxwell S, El-Osta A, Chatchomchuan W, Krittiyawong S, Himathongkam T. Prolonged Honeymoon Period in a Thai Patient with Adult-Onset Type 1 Diabetes Mellitus. Case Rep Endocrinol. 2021 Sep 1;2021:3511281. doi: 10.1155/2021/3511281. eCollection 2021.
PMID: 34513096BACKGROUNDSeidelmann SB, Claggett B, Cheng S, Henglin M, Shah A, Steffen LM, Folsom AR, Rimm EB, Willett WC, Solomon SD. Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis. Lancet Public Health. 2018 Sep;3(9):e419-e428. doi: 10.1016/S2468-2667(18)30135-X. Epub 2018 Aug 17.
PMID: 30122560BACKGROUNDJaacks LM, Crandell J, Mendez MA, Lamichhane AP, Liu W, Ji L, Du S, Rosamond W, Popkin BM, Mayer-Davis EJ. Dietary patterns associated with HbA1c and LDL cholesterol among individuals with type 1 diabetes in China. J Diabetes Complications. 2015 Apr;29(3):343-9. doi: 10.1016/j.jdiacomp.2014.12.014. Epub 2014 Dec 31.
PMID: 25630525BACKGROUNDHollowell JG, Staehling NW, Flanders WD, Hannon WH, Gunter EW, Spencer CA, Braverman LE. Serum TSH, T(4), and thyroid antibodies in the United States population (1988 to 1994): National Health and Nutrition Examination Survey (NHANES III). J Clin Endocrinol Metab. 2002 Feb;87(2):489-99. doi: 10.1210/jcem.87.2.8182.
PMID: 11836274BACKGROUNDZhai X, Zhang L, Chen L, Lian X, Liu C, Shi B, Shi L, Tong N, Wang S, Weng J, Zhao J, Teng X, Yu X, Lai Y, Wang W, Li C, Mao J, Li Y, Fan C, Li L, Shan Z, Teng W. An Age-Specific Serum Thyrotropin Reference Range for the Diagnosis of Thyroid Diseases in Older Adults: A Cross-Sectional Survey in China. Thyroid. 2018 Dec;28(12):1571-1579. doi: 10.1089/thy.2017.0715. Epub 2018 Nov 27.
PMID: 30351201BACKGROUNDBarouti AA, Bjorklund A, Catrina SB, Brismar K, Rajamand Ekberg N. Effect of Isocaloric Meals on Postprandial Glycemic and Metabolic Markers in Type 1 Diabetes-A Randomized Crossover Trial. Nutrients. 2023 Jul 10;15(14):3092. doi: 10.3390/nu15143092.
PMID: 37513510BACKGROUNDWong 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.
PMID: 33039330BACKGROUNDBuehler 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.
PMID: 34598919BACKGROUNDSmart 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. doi: 10.2337/dc13-1195. Epub 2013 Oct 29.
PMID: 24170749BACKGROUNDLeow 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: 10.1111/dme.13663. Online ahead of print.
PMID: 29737587BACKGROUNDVetrani 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. Diabetologia. 2022 Jan;65(1):79-87. doi: 10.1007/s00125-021-05587-0. Epub 2021 Oct 23.
PMID: 34689215BACKGROUNDBerry 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, Franks PW, Spector TD. Human postprandial responses to food and potential for precision nutrition. Nat Med. 2020 Jun;26(6):964-973. doi: 10.1038/s41591-020-0934-0. Epub 2020 Jun 11.
PMID: 32528151BACKGROUNDKanikarla-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.
PMID: 27036365BACKGROUNDBolla 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.
PMID: 31035514BACKGROUNDDabek 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. doi: 10.3390/nu12030788.
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PMID: 29596460BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Tao Yang, MD/PhD
First Affiliated Hospital, Nanjing Medical University, China
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- professor, Chief physician
Study Record Dates
First Submitted
February 23, 2023
First Posted
February 22, 2024
Study Start
August 1, 2024
Primary Completion (Estimated)
December 31, 2027
Study Completion (Estimated)
December 31, 2027
Last Updated
April 20, 2026
Record last verified: 2026-04