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RecruitingNCT07888257LIME-BUpdated Oct 22, 2026

LIfestyle MEtabotype Study B (LIME-B)

An interventional study of βHB drink (ketone ester) and Carbohydrate drink in Nutritional and Metabolic Diseases, Prediabetes and Type 2 Diabetes, sponsored by German Institute of Human Nutrition. Recruiting at 2 sites in Germany. Open to participants aged 40 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-22.

Sponsored by German Institute of Human Nutrition · Not applicable, Interventional, and Prevention

Updated Oct 22, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
300
Allocation
Randomized
Ages
40 Years to 75 Years
Sex
All
01

Study summary

Glycemic responses vary significantly among individuals, even when consuming identical foods or meals, but the factors predicting individual glucose responses to food intake remain poorly investigated. The aim of the LIfestyle MEtabotype (LIME) study is to identify lifestyle-related and mechanistic factors which predict individual postprandial glucose fluctuations in individuals with different glycemic status (prediabetes, type 2 diabetes [T2D] and absence of prediabetes or T2D), using comprehensive lifestyle characterization and metabolic, molecular and neurocognitive phenotyping.

As part of this phenotyping, the LIME study also investigates the role of ketone bodies. Individuals with insulin resistance, prediabetes or T2D often show impaired cerebral glucose utilization. Ketone bodies, such as β-hydroxybutyrate (βHB) may serve as an alternative energy source for the brain. However, how exogenous βHB affects neurocognitive processes and decision-making in individuals with different glycemic status remains poorly understood.

This record describes module B of the LIME study. Module B investigates the effects of a single dose of exogenous βHB, compared with a carbohydrate-based placebo drink, on brain structure and function, decision-making behavior and physiological and metabolic responses. Module A comprises a comprehensive lifestyle and metabolic characterization of the same participants and is registered separately as an observational study (NCT07868601). Data from both modules will be integrated in joint analyses.

Read the detailed description

Studies show that glycemic responses vary significantly among individuals, even when consuming identical foods or meals. These varying glycemic responses are attributed to metabolic differences between individuals. Recently, machine learning models incorporating metabolic data (including microbiome composition) have been able to successfully predict individual blood glucose responses. Precision nutrition recommendations based on such predictions could facilitate better glycemic control and reduce the risk of diabetes. From this perspective, considering metabolic biomarkers, phenotype and genotype, as well as gut microbiome composition, could play a role in deriving dietary recommendations and thereby achieving the best possible health outcomes through nutrition. In addition to macronutrient composition, the timing, frequency and number of meals may also play a significant role in the glycemic response to diet. Finally, socioeconomic, cultural and personal lifestyle factors also have an influence on the glycemic response. Therefore, this study aims to characterize the personal lifestyle differences between individuals with prediabetes, T2D, and those without prediabetes or T2D.

Furthermore, ketone bodies, specifically β-hydroxybutyrate (βHB), are gaining importance, as they serve as both metabolic biomarkers and alternative energy sources in periods of low carbohydrate availability. In individuals with insulin resistance or prediabetes, cerebral glucose utilization is often impaired, leading to the use of ketone bodies as a compensatory energy source for the brain. Findings indicate that the individual ketone response to dietary interventions varies significantly between individuals and could thus itself be relevant as a metabolic phenotype marker in the context of precision nutrition. Therefore, the study also aims to further investigate the extent to which exogenous βHB supplementation influences neurocognitive processes and decision-making behavior, and whether characteristic neurocognitive phenotypes can be derived from this in metabolic risk groups.

This study will achieve its aims by completing a comprehensive lifestyle characterization and metabolic, molecular and neurocognitive phenotyping of individuals with different glycemic status (prediabetes, type 2 diabetes [T2D], and absence of prediabetes or T2D) in a German cohort. The study consists of modules A and B. This record represents a description of module B; module A has an observational design and is registered as a separate record (NCT07868601).

Module A will include a 14-days observational period at home and two visits (screening and phenotyping visits) of the study center at the German Institute of Human Nutrition Potsdam-Rehbrücke before and after the observational period, respectively. Study visits of module A will include an intensive characterization of participants, comprising questionnaires, anthropometric and metabolic assessments, as well as the collection of biological samples. In the observation period, food intake, sleep, activity, and interstitial glucose will be monitored during 14 days, and test meals will be consumed at two days at specific times within this period.

Module B has an interventional crossover design and will take place 1-12 weeks after module A (or after the screening visit for participants not taking part in module A). It includes two visits of the study center at the Freie Universität Berlin, separated by a two-week interval. Study visits of module B will focus on neurocognitive phenotyping, comprising structural and functional magnetic resonance imaging (MRI) of the brain and computer-based decision-making tasks, performed after consumption of either a βHB-containing drink or an equicaloric and taste-matched carbohydrate (dextrose) drink, referred to as placebo drink in the following (test and placebo visits). Data from module A (registered separately [NCT07868601]; e.g., anthropometric and body composition data, blood parameters, CGM-derived glycemic parameters, gut microbiome, lifestyle, metabolic and questionnaire data) will be integrated with module B outcomes to examine associations between individual metabolic and lifestyle phenotypes and neurocognitive, behavioral, affective, physiological and metabolic measures, as well as responses to βHB supplementation. Participants who do not complete the measurements of module A will complete continuous glucose monitoring, actigraphy, sleep and dietary records and stool sample collection between the two module B visits. Module B outcomes will be analyzed with respect to drink condition (βHB vs. placebo), glycemic group, and their interaction.

The aims of the study are as follows:

Primary aims of the LIME study (addressed primarily in module A [NCT07868601], with contributions from module B):

  • Identification of metabolic biomarkers and omics-based scores that predict individual glycemic response to food
  • Identification of general lifestyle patterns that distinguish individuals with prediabetes or T2D from those without prediabetes or T2D, as well as individuals with prediabetes from those with T2D
  • Identification of personal factors and differences in lifestyle patterns that predict individual glucose response to food

Primary aims (LIME-B study):

  • Characterization of individual βHB and glucose responses to exogenous βHB supplementation and their association with glycemic status and individual metabolic and lifestyle phenotypes
  • Investigation of the effects of exogenous βHB supplementation on neurocognitive processes, cognitive functioning as well as avoidance and decision-making behavior in individuals with different glycemic status
  • Elucidation of neuronal, metabolic, and physiological mechanisms associated with specific lifestyle patterns
02

Conditions studied

  • Nutritional and Metabolic Diseases
  • Prediabetes
  • Type 2 Diabetes

Keywords

  • prediabetes
  • type 2 diabetes
  • healthy controls
  • mri
  • decision-making
  • lifestyle factors
  • ketones
  • nutritional and metabolic diseases
03

In context

Nutritional and Metabolic Diseases

25 studies on the registry are indexed under Nutritional and Metabolic Diseases; 13 are open to participants now.

This study's planned enrollment of 300 is above the median of 107 across 20 interventional studies indexed under Nutritional and Metabolic Diseases.

Browse Nutritional and Metabolic Diseases studies →

Lead sponsor

German Institute of Human Nutrition is the lead sponsor of 34 studies on the registry; 9 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Overweight or obese (BMI 25-40 kg/m²)
  • Good knowledge of German
  • Completion of the LIME screening visit; participants who do not take part in the further assessments of module A [NCT07868601] may still participate in module B

Participants are classified into three groups based on the screening visit:

  • Group A (without Prediabetes or Type 2 Diabetes) Criteria: HbA1c \<5.7% and fasting plasma glucose \< 100 mg/dl
  • Group B (Prediabetes) Criteria: HbA1c 5.7-6.4%, or fasting plasma glucose 100-125 mg/dL
  • Group C (Type 2 Diabetes) Criteria: HbA1c ≥6.5%, fasting plasma glucose ≥ 126 mg/dl, or existing T2D diagnosis by physician, or T2D diagnosis based on an available result from standardized 75 g oral glucose tolerance test

Exclusion criteria

Exclusion Criteria:

  • Weight changes of more than 5% in the last 3 months
  • Night shift work
  • Travel across more than one time zone in the last month before and during study participation
  • Intensive regular physical activity of more than 2 hours per day
  • Current pregnancy or breastfeeding
  • Severe renal, liver or heart disease
  • Existing or past hematological malignancies, other malignant tumors, unless successfully treated more than 12 months before study start
  • Severe neurological or psychiatric disorders
  • Daily alcohol consumption of more than 20 grams or more than 150 grams per week
  • Use of illicit or legal drugs one week prior to study start and during study participation
  • Known systemic infections
  • Type 1 diabetes and rare forms of diabetes
  • Diabetes treatment with insulin or sulfonylureas or diabetes medication in the absence of manifest type 2 diabetes
  • Unstable thyroid dysfunction
  • Blood coagulation disorders or anticoagulation therapy that cannot be interrupted
  • Medications affecting nutrient absorption
  • Medications with immunosuppressants or steroids (oral or parenteral)
  • Current eating disorders, functional or structural digestive disorders or bariatric surgery
  • Food allergies or intolerances to ingredients of the test meals
  • Intermittent fasting or calorie-restricted diet four weeks prior to the start of the study or during the study
  • Ketogenic diet or ketogenic supplements four weeks prior to or during module B
  • Left-handedness
  • Severe claustrophobia
  • Electrical implants or non-removable metallic implants
  • Concurrent participation in another intervention study
  • Assessment by the study physician based on medical concerns precluding study participation
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Double (Participant, Investigator)
Enrollment
300 participants (estimated)

Study arms

  • Experimental
    βHB drink (ketone ester)

    Participants receive a single dose of a βHB ester drink (0.3 g/kg body weight) at one of the two module B visits

    Dietary Supplement: βHB drink (ketone ester)

  • Active comparator
    Carbohydrate drink

    Carbohydrate drink Participants receive an equicaloric and taste-matched carbohydrate drink (placebo drink) at the other visit of module B

    Dietary Supplement: Carbohydrate drink

Interventions

  • Dietary supplementβHB drink (ketone ester)

    Single oral dose of a βHB ester (0.3 g/kg body weight), consumed fasted during one of the two visits of module B

  • Dietary supplementCarbohydrate drink

    Single oral dose of an equicaloric and taste-matched dextrose drink.

06

What researchers measure

Primary outcomes

  1. βHB response to exogenous βHB supplementation

    βHB area under the curve (AUC) from fasting and repeated postprandial blood samples after drink intake, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  2. Time course of βHB concentrations

    Fasting concentrations and time course of βHB concentrations at individual time points including derived metrics (e.g., peak concentration, time to peak, rate of change), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  3. Fasting and postprandial glucose and insulin response

    Fasting concentrations and postprandial time course of glucose, insulin and C-peptide in repeated blood samples after drink intake, including derived metrics (e.g., incremental area under the curve \[iAUC\], incremental peak, time to peak, amplitude, nadir, rate of change) and indices of insulin sensitivity (e.g., HOMA-IR), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  4. Concentration of inflammatory markers

    Interleukin-6 (IL-6) and hsCRP levels measured in fasting blood samples; IL-6 additionally in postprandial blood samples after drink intake, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  5. Metabolic and stress-responsive hormones

    Growth differentiation factor 15 (GDF15), fibroblast growth factor 21 (FGF21) and cortisol concentrations in fasting and postprandial blood samples, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  6. Gut and appetite-regulating hormones

    Glucagon-like peptide-1 (GLP-1), cholecystokinin (CCK), ghrelin and leptin concentrations in fasting and postprandial blood samples, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  7. Lipolysis and energy metabolites

    Free fatty acids, triglycerides, lactate and amino acids in fasting and postprandial blood samples, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  8. Oxidative stress markers

    Oxidative stress markers such as Malondialdehyde and 3-Nitrotyrosine in fasting and postprandial blood samples, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  9. Avoidance behavior

    Time spent in less safe areas and exploratory movement in two virtual reality scenarios (elevated platform, dark maze), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  10. Risky decision-making

    Choice behavior in a lottery task during fMRI (e.g., proportion of risky choices, risk attitude), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  11. Dual-task performance

    Reaction times, accuracy and dual-task costs in an auditory-visual dual-task paradigm, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  12. Heart rate and heart rate variability (HRV)

    Heart rate and heart rate variability (HRV) from electrocardiography, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  13. Skin conductance response

    Electrodermal activity (EDA) measured via electrodermal activity electrodes, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  14. Respiration rate

    Task-based and resting-state respiration rate, measured via a respiration belt pulse (pulse oximetry during MRI), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  15. Pulse

    Pulse measured via pulse oximetry during MRI, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  16. Gastric myoelectric activity

    Gastric rhythm and power assessed by electrogastrography (EGG), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  17. Brain Structure

    Brain morphology (e.g., regional gray matter volume and density) assessed by T1-weighted structural MRI, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  18. White matter micro- and macrostructure

    White matter micro- and macrostructure assessed by diffusion-weighted imaging (DWI), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  19. Resting-state functional connectivity

    Functional connectivity between brain regions assessed by resting-state functional MRI (rs-fMRI), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  20. Task-related brain activity

    Brain activity during a risk-based decision-making task (lottery task) assessed by functional MRI (fMRI), compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

Secondary outcomes

  1. Module A phenotyping data as predictors, moderators and controls

    All outcome measures registered for module A \[NCT07868601\] (e.g., body composition, blood parameters, CGM-derived glycemic parameters, gut microbiome, dietary intake, sleep and activity, questionnaire data) integrated with module B outcomes in joint analyses; if not obtained in module A, CGM, actigraphy, sleep, dietary records and stool samples are collected between the two module B visits

    Time frame: 2 weeks and 3-16 weeks

  2. Body height

    Body height measured using a calibrated wall-mounted measuring tape

    Time frame: 3-16 weeks

  3. Body weight

    Body weight measured by scale weight

    Time frame: 3-16 weeks

  4. Waist and hip circumference

    Waist and hip circumference measured using a measuring tape

    Time frame: 3-16 weeks

  5. Body Mass Index (BMI)

    BMI \[kg/m2\], calculated as weight/square height

    Time frame: 3-16 weeks

  6. Subjective state during visits

    Repeated ratings of stress, hunger, thirst, anxiety and well-being and subjective hypoglycemia symptoms during the visits, including during the virtual reality task, compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  7. Affective state

    Positive and Negative Affect Scale (PANAS; Janke et al., 2014) compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  8. Anxiety

    State-Trait Anxiety Inventory (STAI; Grimm et al., 2009) compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  9. Perceived stress

    Perceived Stress Questionnaire (PSQ; Fliege et al., 2001) compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  10. Flow state

    Flow State Scale (FSS; Rheinberg et al., 2003) compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  11. Food craving

    Food Cravings Questionnaire (FCQ; Meule et al., 2012)

    Time frame: 3-16 weeks

  12. Subjective hypoglycaemic symptoms

    Subjective hypoglycaemic symptom list (SHSL; Meyhöfer et al. 2022; Mitrakou et al. 1993) compared between drink conditions (βHB vs. placebo) and glycemic groups

    Time frame: 3-16 weeks

  13. Other hormones and metabolites (exploratory)

    Exploratory analysis of additional hormones and metabolites in stored blood samples (e.g., sex hormones such as testosterone, estradiol, progesterone and sex hormone-binding globulin \[SHBG\])

    Time frame: 3-16 weeks

07

Study locations

2 of 2 sites recruiting
  • Freie Universität Berlin, Center for Cognitive Neuroscience Berlin (CCNB)
    Berlin, 14195, Germany
    • Eva Fröhlich, Dr. · Contact · eva.froehlich@dife.de · +49 33200 882511
    • Soyoung Q Park, Prof. Dr. · Principal investigator
    Recruiting
  • German Institute of Human Nutrition
    Nuthetal, 14558, Germany
    • Beeke Peters, MSc · Contact · beeke.peters@dife.de · +49 33200 882690
    • Olga Ramich, Prof. Dr. · Principal investigator
    Recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 22, 2026
Show all 1 update
  1. Oct 22, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07888257
Lead sponsor
German Institute of Human Nutrition
Collaborators
Freie Universität Berlin, Center for Cognitive Neuroscience Berlin (CCNB), German Center of Diabetes Research (DZD)
Responsible party
Prof. Dr. Soyoung Q Park (Prof. Dr., German Institute of Human Nutrition) — Principal investigator
First posted
Oct 22, 2026
Start date
Oct 26, 2026 (estimated)
Primary completion
Dec 31, 2030 (estimated)
Completion
Dec 31, 2031 (estimated)
Last update
Oct 22, 2026

Study contacts

Soyoung Q Park, Prof. Dr.
Contact
soyoung.park@dife.de
+49 33200 882510
Eva Fröhlich, Dr.
Contact
eva.froehlich@dife.de
+49 33200 882511
Olga Ramich, Prof. Dr.
principal investigator · German Institute of Human Nutrition Potsdam-Rehbrücke and the Charité - Universitätsmedizin Berlin
Soyoung Q Park, Prof. Dr.
principal investigator · German Institute of Human Nutrition Potsdam-Rehbrücke and the Charité - Universitätsmedizin Berlin

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
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