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Precise Eating Time to Improve Glycemic Control and Cardiometabolic Health in Prediabetes and Diabetes

Precise Eating Time to Improve Glycemic Control and Cardiometabolic Health in Prediabetes and Diabetes: the GLYCOTIME Trial

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07171281
Acronym
GLYCOTIME
Enrollment
30
Registered
2025-09-12
Start date
2025-09-19
Completion date
2028-02-28
Last updated
2025-09-12

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

Conditions

Obesity &Amp; Overweight, Prediabetes, Type 2 Diabetes

Keywords

Time-restricted eating, Prediabetes, Type 2 Diabetes, Chrononutrition, Glucose metabolism, Overweight, Obesity, Continuous glucose monitoring, TRE, Prevention and treatment of type 2 diabetes

Brief summary

The objective of this study is to investigate the impact of hypocaloric time-restricted eating (TRE) at different day times (early versus late TRE) on glucose metabolism and other cardiometabolic parameters in individuals with overweight and with normal, or impaired glucose metabolism (prediabetes and type 2 diabetes). In addition, the study aims to elucidate the molecular mechanisms underlying these effects.

Detailed description

This dietary intervention study will follow a crossover design. During the intervention phases, participants will restrict their dietary intake to a defined eating window of 8 hours - predominantly in the morning (early TRE) or predominantly in the afternoon (late TRE) - in conjunction with a moderate caloric restriction for five weeks. A 10-12-week washout phase will separate the intervention periods. Overweight and obese individuals with healthy glucose metabolism, prediabetes, or non-insulin-treated type 2 diabetes will be recruited for the study.

Interventions

Participants will restrict their eating window (8 hours eating and 16 hours fasting per day) and caloric intake moderately. During the early TRE intervention, participants will primarily consume their meals in the morning. The precise eating window will be defined based on the individual chronotype of the participants. Additionally, participants will be required to reduce their daily caloric consumption by 25%. They will replace one daily meal with a calorie-reduced product to facilitate caloric restriction.

Participants will restrict their eating window (8 hours eating and 16 hours fasting per day) and caloric intake moderately. During the late TRE intervention, participants will primarily consume their meals in the evening. The precise eating window will be defined based on the individual chronotype of the participants. Additionally, participants will be required to reduce their daily caloric consumption by 25%. They will replace one daily meal with a calorie-reduced product to facilitate caloric restriction.

Sponsors

Technische Universität Dresden, Germany
CollaboratorUNKNOWN
University of Surrey, UK
CollaboratorUNKNOWN
University of Geneva, Switzerland
CollaboratorOTHER
Technische Universität München, Germany
CollaboratorUNKNOWN
German Diabetes Center (DDZ), Germany
CollaboratorUNKNOWN
University of Rovira i Virgili, Spain
CollaboratorUNKNOWN
German Institute of Human Nutrition
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* Overweight or obesity (BMI 25-40 kg/m²) * Healthy glucose metabolism (fasting glucose \<100 mg/dl and glucose after 2 hours OGTT \<140 mg/dl) * OR impaired glucose metabolism (fasting glucose 100-125 mg/dl and/or glucose after 2 hours OGTT 140-199 mg/dl and/or HbA1c 5.7-6.4%) * OR type 2 diabetes (according to existing medical diagnosis or fasting glucose \>126 mg/dl and/or glucose after 2 hours OGTT \>200 mg/dl and/or HbA1c ≥6.5%) * Daily eating window ≥12 hours

Exclusion criteria

* Weight changes \> 5% within past 3 months * Shift work * Traveling across more than one time zone within one month prior to the study * Pregnancy and breastfeeding * Eating disorders, food intolerance/allergy to ingredients in the diet product, vegan diet, practicing time-restricted eating * Severe chronic illnesses or other conditions that are incompatible with the planned intervention and examination program (e.g. type 1 diabetes, recent cardiovascular event, malabsorption, cancer in the last two years, etc.) * Treatment with insulin, sulfonylureas, and GLP-1 receptor agonists, steroid use (oral, cutaneous, or parenteral), regular intake of melatonin, anticoagulation treatment that cannot be paused * Extreme early and extreme late chronotypes

Design outcomes

Primary

MeasureTime frameDescription
Mean 24-hour glucose5 weeksMean 24-hour glucose assessed by continuous glucose monitoring (CGM)

Secondary

MeasureTime frameDescription
Gene expresssion in adipose tissue5 weeksRNAseq analysis of subcutaneous adipose tissue samples
3-nitrotyrosine5 weeksPlasma 3-nitrotyrosine \[pmol/mg\]
Protein carbonyls5 weeksPlasma protein carbonyls \[nmol/mg\]
36-item Short Form Health Survey (SF-36) to measure health-related quality-of-life5 weeksHealth-related quality-of-life, as assessed by the 36-Item Short Form Health Survey (SF-36, with scores ranging from 0 to 100, with a higher score defining a more favorable health state)
Satisfaction with the intervention5 weeksSatisfaction with the intervention assessed by a 5-point Likert scale (with 5 representing Very satisfied and 1 representing Very dissatisfied)
Decision behavior5 weeksImpulsiveness assessed by decision making tasks on computer
Glycemic variability5 weeksInter- and intraday indices of glycemic variability assessed by CGM
Glucose levels5 weeksFasting and postprandial glucose \[mg/dL\] in response to a mixed meal tolerance test
Insulin levels5 weeksFasting and postprandial insulin \[mU/L\] in response to a mixed meal tolerance test
Glucagon levels5 weeksFasting and postprandial glucagon \[pmol/L\] in response to a mixed meal tolerance test
Insulin resistance5 weeksInsulin resistance, as assessed by HOMA-IR \[AU\]
Insulin secretion5 weeksInsulin secretion, as assessed with the insulinogenic index \[AU\]
Body weight5 weeksBody weight \[kg\], as measured by scale weight
Body Mass Index (BMI)5 weeksBMI \[kg/m2\], calculated as weight/square height
Waist and hip circumference5 weeksWaist and hip circumference \[cm\] measured by tape
Body composition5 weeksBody fat mass and lean mass \[kg\], as measured by bioelectrical impendance analysis (BIA)
Fasting cholesterol5 weeksFasting total cholesterol, low-density lipoprotein and high-density lipoprotein cholesterol \[mmol/L\]
Fasting triglycerides5 weeksFasting triglycerides \[mmol/L\]
Blood pressure5 weeksSystolic and diastolic blood pressure \[mm Hg\], as measured by manometer
Resting energy expenditure5 weeksResting energy expenditure \[kcal/day\], as assessed by indirect calorimetry
Inflammatory markers in blood and adipose tissue5 weeksLevels of adipokines and inflammatory markers measured in blood samples and subcutaneous adipose tissue samples
Subjective satiety and hunger sensation5 weeksSatiety and hunger scores assessed using Visual Analog Scales (VAS, with a scale of 1-100, where higher values correspond to stronger satiety/hunger)
Concentration of satiety and hunger regulating hormones5 weeksLevels of ghrelin and peptide YY (PYY), as measured in blood samples in \[pg/mL\]
Species and strain-level microbiome changes5 weeksSpecies and strain-level microbiome changes, as assessed by 16S rRNA gene sequencing of stool samples
Levels of microbiome-derived metabolites5 weeksLevels of microbiome-derived metabolites measured in stool samples and blood plasma
Sleep quality5 weeksSleep quality as 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
Sleep and wake timing5 weeksSleep onset and offset assessed by the Pittsburgh Sleep Quality Index (PSQI score, which ranges from 0-21, where higher values correspond to worse sleep quality) and in addition by using a sleep diary
Internal circadian phaseScreening visit (week 0)Internal circadian phase as assessed using the BodyTime assay in peripheral mononuclear blood cells (PBMCs)
Glucagon-like peptide-1 levels5 weeksFasting and postprandial glucagon-like peptide-1 (GLP-1) in response to a mixed meal tolerance test \[pM\]
Gastric inhibitory polypeptide5 weeksFasting and postprandial gastric inhibitory polypeptide (GIP) in response to a mixed meal tolerance test \[pg/mL\]
Gene expresssion in peripheral mononuclear blood cells (PBMCs)5 weeksRNAseq analysis of clock, metabolic and inflammatory gene expression peripheral mononuclear blood cells (PBMCs)
Malondialdehyde5 weeksPlasma malondialdehyde \[µmol/L\]

Other

MeasureTime frameDescription
Food intake5 weeksEnergy intake \[kcal/day\] assessed by food records
Macronutrient intake5 weeksPercentage of calories from fat, carbohydrates, protein, and fiber, determined based on dietary records
Food timing5 weeksStart and stop times of daily eating window and clock time of each daily meal intake assessed by food records
Physical activity level5 weeks24-h physical activity level (light, moderate, sedentary activity, metabolic equivalent of task) will be monitored by an Actigraph device
Liver enzyme levels and renal values5 weeksγ-glutamyltransferase (GGT), aspartate aminotransferase (ALT), and alanine aminotransferase (AST), creatinine, urea, uric acid determined in fasting blood samples

Countries

Germany

Contacts

Primary ContactOlga Ramich, Prof. Dr.
olga.ramich@dife.de+49 33200 882749
Backup ContactBettina Schuppelius, M.Sc.
bettina.schuppelius@dife.de+49 33200 882692

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026