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PROTeIn-rich Meals to Control Glucose

Meal Timing-based Strategies to Improve Glucose Metabolism in Prediabetes and Type 2 Diabetes

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06382480
Acronym
PROTIME
Enrollment
30
Registered
2024-04-24
Start date
2024-04-12
Completion date
2027-02-28
Last updated
2026-08-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity, Overweight, Prediabetes, Type 2 Diabetes

Keywords

Glucose, Overweight, Obesity, Prediabetes, Type 2 Diabetes, Metabolism, Chrononutrition, Macronutrient composition, High-protein, High-carb, Isocaloric diet, Prevention and treatment of type 2 diabetes

Brief summary

The overall aim is to identify the dietary pattern for prevention and treatment of type 2 diabetes. The specific aim of this pilot project is to compare effects of two diets with different diurnal distribution of carbohydrates and protein on the glucose metabolism in subjects with prediabetes and type 2 diabetes and its effects on inflammatory status.

Detailed description

Overweight individual with prediabetes and non-insulin treated type 2 diabetes will be recruited for the study. The trial will have a cross-over design and compare metabolic effects of two isocaloric 4-week interventions with opposite timely distribution of macronutrient intake - a high-protein (HP) breakfast and a high-carb (HC) dinner (HP/HC intervention) vs. a HC breakfast and a HP dinner (HC/HP intervention) - divided by a 4-week wash-out phase. A HP low-carb meal (breakfast or dinner) will contain 35%E protein, 35%E carbs, and 30%E fat, and a HC meal (breakfast or dinner) will contain 10E%protein, 60%E carbs, and 30%E fat.

Interventions

OTHERDiet with specific macronutrient composition.

The intervention is about an isocaloric diet that differs in terms of distribution of carbohydrates and protein throughout the day. The interventions include a HP-breakfast and a HC-dinner vs. a HC-breakfast and a HP-dinner. A HP low-carb meal (breakfast or dinner) will contain 35%E protein, 35%E carbs, and 30%E fat, and a HC meal (breakfast or dinner) will contain 10%E protein, 60%E carbs, and 30%E fat.

Sponsors

German Institute of Human Nutrition
Lead SponsorOTHER
Charite University, Berlin, Germany
CollaboratorOTHER
Helmholtz Zentrum München
CollaboratorINDUSTRY
Hasso Plattner Institute, Potsdam, Germany
CollaboratorUNKNOWN

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Intervention model description

The trial will have a cross-over design and compare metabolic effects of two isocaloric 4-week interventions with opposite timely distribution of macronutrient intake divided by a 4-week wash-out phase.

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* Prediabetes (fasting blood sugar 100-125 mg/dl) * Diabetes type 2 (fasting blood sugar \>126 mg/dl) * Overweight and obesity (BMI 25-50 kg/m2)

Exclusion criteria

* Other diabetes types * Insulin treatment * Shift work * Weight changes \>5% within past 3 months * Systemic glucocorticoid therapy * Systemic infections * Severe anemia * High blood pressure (\>180/110 mmHg) * Endocrinologic, liver and heart disorders * Immune diseases * Thyroid dysfunction * Heart attack or stroke * Cancer in the last 2 years * Eating disorders, food intolerance/allergy, addiction disorders, digestive disorders intestinal, liver, cardiovascular diseases * Hereditary or acquired coagulation disorders * Non-interruptible intake of blood thinners (anticoagulants) * Specific diets, intermittent fasting * Pregnancy or breastfeeding * Severe internal or psychiatric disorders or other conditions and drugs therapy that might influence the outcome of the study

Design outcomes

Primary

MeasureTime frameDescription
Mean 24-hour glucose4 weeksMean 24-hour glucose assessed by continuous glucose monitoring (CGM)

Secondary

MeasureTime frameDescription
Measurement of height4 weeksHeight measured by stadiometer
Measurement of body weight4 weeksBody weight measured by body scale
Waist and hip circumference / waist to hip ratio4 weeksWaist and hip circumference measured by tape measure
Systolic and diastolic blood pressure4 weeksSystolic and diastolic blood pressure changes measurement by manometer
Body fat and lean mass4 weeksBody fat and lean mass assessed by bioelectrical impendance analysis (BIA)
Energy expenditure and substrate oxidation rates4 weeksEnergy expenditure and substrate oxidation rates assessed by indirect calorimetry
Hepatic values (gamma-glutamyl transferase (GGT), aspartate aminotransferase (AST), alanine aminotransferase (ALT))4 weeksGGT, AST, ALT etermined in fasting blood samples
Renal values (creatinine, urea, uric acid)4 weeksRenal values determined in fasting blood samples
Intra- und inter-day glycemic variability4 weeksIndices of intra- and inter-day glycemic variability assessed by continuous glucose monitoring (CGM)
Glucose levels in meal tolerance test (MTT)4 weeksGlucose levels in blood samples collected in MTT
Metabolic hormones (insulin, C-peptide, glucagon, glucagon-like peptite 1(GLP-1), gastric inhibitory polypeptide (GIP), peptide YY (PYY), ghrelin, adiponectin, leptin)4 weeksBlood levels of metabolic hormones assessed in fasting state and during the MTT
Inflammatory markers and T cell populations analyses4 weeksLevel of the inflammatory markers IL-6, TNFa, MCP-1 and T cell populations in circulation and adipose tissue are assessed through blood analysis and fat biopsy
Satiety and hunger scores4 weeksSatiety and hunger scores assessed using Visual Analog Scale (VAS with a scale of 1-100, where higher values correspond to stronger satiety/hunger)
Sleep/wake timing and sleep quality4 weeksSleep/wake timing and sleep quality assessed by the Pittsburgh Sleep Quality Index (PSQI score, which ranges from 0-21, where higher values correspond to worse sleep quality) and also monitored by an ActiGraph device
Physical activity4 weeks24-h physical activity will be monitored by an ActiGraph device
Adipose tissue transcriptome4 weeksRNA-Seq analysis of subcutaneous adipose tissue sample
Gene expression in peripheral blood mononuclear cells (PBMC)4 weeksExpression of metabolic genes assessed by qPCR
Gut microbiota and microbiome-derived metabolites4 weeksDetermined in stool samples and blood plasma
Determination of decision behavior4 weeksImpulsiveness assessed by decision making tasks on computer

Countries

Germany

Contacts

PRINCIPAL_INVESTIGATOROlga Ramich, PD Dr.

German Institute of Human Nutrition

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 12, 2026