Clinical Trials Logo

Clinical Trial Summary

A randomized, open-label, three-arm crossover study will be conducted. The aim of the study is to determine the effect of different isocaloric diet macronutrient compositions (High-carbohydrate-Low-fat-Low-protein (HCLFLP), Low-carbohydrate-High-fat-Low-protein (LCHFLP), Low-carbohydrate-Low-fat-High-protein (LCLFHP)) on plasma glucose dynamics in everyday life and during fasted exercise in persons with type 1 diabetes. Our hypothesis is that a HCLFLP diet reduce the decrease in plasma glucose from start to end of fasted exercise compared with a LCHFLP diet. Secondary a LCHFLP compared with a LCLFHP diet does not reduces the decrease in plasma glucose from start to end of fasted exercise. The current study will contribute with new knowledge about the importance of the compositions of a low-carbohydrate diet on glucose dynamics and the influence on plasma glucose during and after cycling in fasted state.


Clinical Trial Description

Background: In order to increase time, spend in euglycemia ranges many persons with type 1 diabetes choose to follow a low-carbohydrate diet. However, to date strong evidence on the effects of low-carbohydrate diets in persons with type 1 diabetes is lacking with even less evidence pertaining around physical activity. Our impression is that many persons with type 1 diabetes follow a low-carbohydrate diet on their own initiative despite published available evidence is sparse. This emphasizes the need for more clinical trials that investigates the glycemic impact of low-carbohydrate diets. The current guidelines for glucose management during exercise focus on carbohydrate intake and reduction of bolus and/or basal insulin immediately before, during and after exercise. The guidelines only briefly describe low-carbohydrate diet and do not describe matters concerning exercise in fasted state, because of lack of evidence in the field. Exercise in fasted state may be preferable for persons with type 1 diabetes since it increases lipid oxidation and is associated with better glucose stability than nonfasted exercise. Furthermore exercise in fasted state do not increase the risk of hypo- or hyperglycemia compared with a non-exercise control day. Dietary carbohydrate intake might affect the hepatic glucose response. We will use glucagon as a tool to evaluate the hepatic glucose response after the three different diets. The current study will contribute new knowledge about the importance of the compositions of a low-carbohydrate diet on glucose dynamics and the influence on plasma glucose during and after cycling in fasted state. In addition, the study will detail the importance of diet carbohydrate content on hepatic glucose response. Study design: A randomized, open-label, three-arm crossover study will be conducted, where the participants will serve as their own controls. The participants will complete one screening visit and three different 7-day diet interventions ending with an in-clinic study visit at day 8. The diets will be isocaloric and based on individual energy needs. The compositions will be a HCLFLP, LCHFLP, and a LCLFHP diet. The diet interventions will be in random order and there will be a washout period of 5-35 days. Diet interventions: Within a week before day 1 of the diet interventions, the participants must meet at Steno Diabetes Center Copenhagen to be instructed about the forthcoming diet intervention and undergo a physical extermination including weight-, blood pressure- and heart rate meassurement, blood sample collection (albumin, estimated glomerular filtration rate (eGFR), total cholesterol, VLDL, LDL HDL and triglycerides) and a urine sample collection (u-albumin-creatinine-ratio). The participants must attach and start to use a CGM system the day before the start of the diet interventions (day 0) and a ActiGraph activity sensor in the morning of day 1 of diet interventions. The participants must wear the CGM and activity sensor until the end of the study visit at day 8. Study visits: At day 8 the participants must meet in the morning after an overnight fast at Steno Diabetes Center Copenhagen for the study visits. Except for the difference in content of the diets prior to the study visits, the study visits are identical. After resting for 90 minutes (Observation phase 1), the participants must perform 45 min of cycling on an ergometer bike equaling to 60 % of their peak oxygen consumption or until hypoglycemia (plasma glucose < 3.9 mmol/l) or unbearable symptoms of hypoglycemia (Cycling phase). After cycling the participants are observed for 90 minutes or until hypoglycemia (< 3.9 mmol/l) or unbearable symptoms of hypoglycemia while resting (Observation phase 2). If plasma glucose drops < 3.9 mmol/l or if unbearable symptoms of hypoglycemia occurs during cycling, observation phase 2 or if hypoglycemia (< 3.9 mmol/l) or unbearable symptoms of hypoglycemia has not occurred after 90 min of observation phase 2 150 μg glucagon is given subcutaneously. From injection of glucagon the observation 3 phase begins. The participants will be observed 120 minutes after injection of glucagon. A mixed meal will be served before the participants leave the research facility. Thoughout the study visits the participants must use their insulin pump. The basalrate will be adjusted according to international guidelines. Blood samples for analyses of glucose, lactate, insulin, glucagon, GLP-1, GIP, ketones, inflammatory markers, cortisol, free fatty acids, growth hormone, albumin, estimated glomerular filtration rate (eGFR), total cholesterol, VLDL, LDL HDL and triglycerides will be drawn. Indirect calorimetry will be performed before, during and after exercise and after injection of glucagon to meassure energy expenditure, respiratory exchange ratio and carbohydrate and lipid oxidation rates. The Borg scale will be used to assess percieved exertion during exercise. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05268705
Study type Interventional
Source Steno Diabetes Center Copenhagen
Contact
Status Completed
Phase N/A
Start date February 3, 2022
Completion date November 8, 2022

See also
  Status Clinical Trial Phase
Completed NCT03886974 - Transition to Adult Care in Type 1 Diabetes
Completed NCT05620251 - Response to BNT162b2 Vaccine in Adolescents With Type 1 Diabetes
Completed NCT03623113 - The Dietary Education Trial in Carbohydrate Counting (DIET-CARB Study in Type 1 Diabetes N/A
Active, not recruiting NCT05078658 - Low-carbohydrate Diet in Children With Type 1 Diabetes N/A
Not yet recruiting NCT06018324 - CloudCare in the Treatment of Type 1 Diabetes in Pediatrics
Withdrawn NCT03736083 - Introducing CGM at Type 1 Diabetes Diagnosis N/A
Completed NCT03177096 - Impact of the Continuous Measurement of Blood Glucose on Insulin Pump on Child Quality of Life With Type 1 Diabetes N/A
Not yet recruiting NCT06418269 - The Effect of Therapeutic Play on Anxiety and Fear Levels in Children With Diabetes N/A
Completed NCT04172077 - Self Efficacy Levels, Attachment Style and Resiliency of Youth With Type 1 Diabetes
Recruiting NCT04950634 - Sexual Dimorphism in Cardiovascular Autonomic Neuropathy in Patients With Type 1 Diabetes
Completed NCT04450745 - Physical Exercise in Normobaric Hypoxia and Normoxia in Type 1 Diabetic Patients N/A
Completed NCT03165786 - A Cognitive Behavioral Intervention to Reduce Fear of Hypoglycemia in Young Adults With Type 1 Diabetes N/A
Terminated NCT04028960 - IN Insulin in Type 1 Diabetes (T1D) Hypoglycemia Unawareness: Safety Only Phase Phase 2
Recruiting NCT05324488 - Diabetes Registry Graz for Biomarker Research
Completed NCT02984709 - Check It! 2.0: Positive Psychology Intervention for Adolescents With Type 1 Diabetes N/A
Completed NCT02984514 - Brown Adipose Tissue in Type 1 Diabetes N/A
Recruiting NCT06372392 - Universal Fixed Meal Boluses Usage in Patients With Medtronic Minimed 780G Pumps N/A
Recruiting NCT05973799 - Effect of Fasting on Hypoglycemic Counterregulation in Type 1 Diabetes N/A
Recruiting NCT03311516 - New Insulin Therapy by Multiwave Bolus N/A
Completed NCT03711656 - Prediction and Prevention of Nocturnal Hypoglycemia in Persons With Type 1 Diabetes Using Machine Learning Techniques N/A