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NCT Number: NCT06273631

Effect of Changes in Carbohydrate Intake Patterns 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.

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Key information

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

First Affiliated Hospital, Nanjing Medical University

Nanjing, Jiangsu, 210029, China

Location status: Recruiting

Location contact

Tao Yang, PhD

CONTACT

[email protected]

86-25-83718836 ext. 6466

About this study

  • Main Objective: To evaluate the effect of changes of carbohydrate intake on glucose control in patients with type 1 diabetes.
  • Primary endpoint: difference of time in range (TIR) between the 2 groups.
  • Secondary endpoint:
  • difference of coefficient of variation (CV), mean amplitude of glycemic excursions (MAGE) , large amplitude of glycemic excursions (LAGE) between the 2 groups; 2) difference of change in HbA1c,GA,1,5-anhydroglucitol (1,5-AG) from baseline between the 2 groups; 3) difference of change in incidence of hypoglycemic events (%), severe hypoglycemia and nocturnal hypoglycemia events from baseline between the 2 groups; 4) difference of change in insulin dose (IU/kg/day) from baseline between the 2 groups.
  • Secondary objective: To explore the possible mechanism of dietary intervention to improve blood glucose control in patients with type 1 diabetes.
  • Effects of dietary intervention on intestinal microenvironment and microflora of type 1 diabetes patients;
  • Effects of dietary intervention on immune function of type 1 diabetes patients;
  • Effects of dietary intervention on metabolomics of type 1 diabetes patients.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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%;

Exclusion criteria

  • 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;
  • Patients with any disease likely to interfere with study participation or evaluation.

Treatment and study plan

diverse carbohydrate diet

Other

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%.

moderate carbohydrate diet

Other

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%.

Primary outcomes

  1. Time in range (TIR)

    Time frame: Baseline to 2 weeks

    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.

Secondary outcomes

  1. Coefficient of variation of blood glucose(CV)

    Time frame: Baseline to 2 weeks

    Reflect glucose fluctuation

  2. Mean amplitude of glycemic excursions(MAGE)

    Time frame: Baseline to 2 weeks

    Reflect glucose fluctuation

  3. Large amplitude of glycemic excursions (LAGE)

    Time frame: Baseline to 2 weeks

    Reflect glucose fluctuation

  4. Change in HbA1c from baseline

    Time frame: Baseline to 14 weeks

    Reflect 2~3 months of glycemic control

  5. Change in GA(glycosylated albumin)from baseline

    Time frame: Baseline to 2 weeks

    Reflect 2~3 weeks of glycemic control

  6. Change in 1,5-anhydroglucitol (1,5-AG) from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

    Reflect 1~2 weeks of glycemic control

  7. Time above range(TAR)

    Time frame: Baseline to 2 weeks

    TAR represents percentage of time of glucose levels spent over 10.0 mmol/L based on CGMS. TAR will be compared between the 2 interventions.

  8. Time below range(TBR)

    Time frame: Baseline to 2 weeks

    TBR represents percentage of time of glucose levels spent below 3.9 mmol/L based on CGMS. TBR will be compared between the 2 interventions.

  9. Change in total insulin dose from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

  10. Change in blood lipids from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

  11. Change in body weight from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

  12. Daily mean glucose values

    Time frame: Baseline to 2 weeks

  13. Number of participants with severe hypoglycemia and nocturnal hypoglycemia events

    Time frame: Baseline to 2 weeks and to 14 weeks

    Reflects the safety of clinical trials

  14. Change in Incidence of hypoglycemic events from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

    Reflects the safety of clinical trials

  15. Change in gut microbiota from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

  16. Change in metabolomics from baseline

    Time frame: Baseline to 2 weeks and to 14 weeks

  17. Change in autoimmunity from baseline

    Time frame: Baseline to 14 weeks

Study contacts

Contact information is provided by the study sponsor or research team.

Tao Yang, MD/PhD

CONTACT

[email protected]

86-25-83718836 ext. 6466

Sponsors and collaborators

Lead sponsor

Yang Tao

Other

Registry information

Important dates

Study start
2024
Primary completion
2027
Study completion
2027
First posted
Feb 22, 2024
Registry last updated
Apr 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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