Personalized Glucose Optimization Through Nutritional Intervention
PERSON
1 other identifier
interventional
242
1 country
2
Brief Summary
Maintaining well-controlled blood glucose concentrations is essential in the prevention of chronic cardiometabolic diseases. The blood glucose response to dietary and/or lifestyle patterns may vary between individuals. Insulin resistance in specific metabolic organs such as skeletal muscle, adipose tissue or the liver may underlie differential blood glucose responses. This dietary intervention study aims to obtain insight into the metabolic and lifestyle determinants of postprandial blood glucose responses, and to establish the effect of macronutrient manipulation of a 12-week dietary intervention on blood glucose homeostasis in metabolically different subgroups an its relationship to physical and mental performance and well-being.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable obesity
Started Jun 2018
Typical duration for not_applicable obesity
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 25, 2018
CompletedStudy Start
First participant enrolled
June 4, 2018
CompletedFirst Posted
Study publicly available on registry
October 17, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 29, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
November 29, 2021
CompletedFebruary 14, 2022
February 1, 2022
3.5 years
April 25, 2018
February 11, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Disposition index
The primary objective of this study is to establish the effect of a metabolically targeted, optimal versus suboptimal macronutrient manipulated 12-week dietary intervention on the change in disposition index, a composite marker of first phase insulin secretion and insulin sensitivity during a 2-hour 7-points oral glucose tolerance test (OGTT). Disposition index will be calculated as follows: \[Insulin sensitivity index (ISI) \* (AUC30 min insulin / AUC30 min glucose)\], where AUC30 min is the area under the curve between 0 and 30 minutes of the OGTT for insulin (pmol/l) and glucose (mmol/l), respectively, and ISI is defined as: \[10,000 ÷ square root of (fasting plasma glucose (mmol/l) x fasting insulin (pmol/l)) x (mean glucose (mmol/l) x mean insulin (pmol/l))\]. Higher values represent a higher insulin sensitivity.
Change from baseline at week 12 dietary intervention
Secondary Outcomes (40)
Mean 24h glucose concentrations
Change from baseline at week 12 dietary intervention
Glucose incremental area under the curve (iAUC)
Change from baseline at week 12 dietary intervention
The frequency and duration of hypo- and hyperglycemia
Change from baseline at week 12 dietary intervention
Glucose tolerance
Change from baseline at week 12 dietary intervention
Muscle insulin sensitivity
Change from baseline at week 12 dietary intervention
- +35 more secondary outcomes
Study Arms (2)
Optimal diet
EXPERIMENTALParticipants will follow a diet for a total duration of 12 weeks, optimal for their metabolic phenotype. For participants with muscle insulin resistance (MIR) this will be a diet high in monounsaturated fatty acids, for participants with liver insulin resistance (LIR) this will be a diet high in protein and fiber and low in fat.
Suboptimal diet
EXPERIMENTALParticipants will follow a diet for a total duration of 12 weeks, suboptimal for their metabolic phenotype. For participants with liver insulin resistance (LIR) this will be a diet high in monounsaturated fatty acids, for participants with muscle insulin resistance (MIR) this will be a diet high in protein and fiber and low in fat.
Interventions
Based on a 7-points OGTT, participants will be classified as MIR or LIR. The hypothesized optimal diet for MIR has a moderate fat content which is high in mono- unsaturated fatty acids (HMUFA) with a macronutrient breakdown of 38 E% from fat (20% MUFA, 10% polyunsaturated fatty acids (PUFA), 8% saturated fatty acids (SFA)), 48 E% from carbohydrates (CHO, 35% complex), and 14 E% from protein (35-40% plant protein). The hypothesized optimal diet for LIR is low in fat, high in protein (LFHP) and increased fiber with a macronutrient breakdown of \<28 E% from fat (10% MUFA, 10% PUFA, 8% SFA), 48 E% from CHO (35% complex), and 24 E% from protein (35-40% plant protein), and an additional supplement of 6g of soluble fiber per day. Participants wil be randomly allocated to one of the two diets.
The optimal diet for the other metabolic phenotype will be considered as "suboptimal"/ control diet. For the MIR phenotype this is the high protein, high fiber, low fat diet; for the LIR phenotype this is the high monounsaturated fatty acid diet. See the description above.
Eligibility Criteria
You may qualify if:
- BMI 25 to \<40 kg/m2
- Predominantly muscle (MIR) or liver (LIR) insulin resistant
- Weight stability for at least 3 months (+/- 3 kg)
You may not qualify if:
- Diseases
- Pre-diagnosis of type 1 or type 2 diabetes mellitus
- Renal or hepatic malfunctioning (pre-diagnosis or determined based on alanine aminotransferase (ALAT), aspartate aminotransferase (ASAT) and creatinine values)
- Gastrointestinal diseases or abdominal surgery (allowed i.e.: appendectomy, cholecystectomy)
- Food allergies, intolerances (including gluten/lactose intolerance) and/or dietary restrictions interfering with the study (including special diets, vegetarians and eating disorders)
- Cardiovascular diseases (e.g. heart failure) or cancer (e.g. non-invasive skin cancer allowed)
- High blood pressure (untreated \>160/100 mmHg, drug-regulated \>140/90 mmHg)
- Diseases affecting glucose and/or lipid metabolism (e.g. pheochromocytoma, Cushing's syndrome, acromegaly)
- Anemia defined as hemoglobin (Hb) men \<8.5 and women \<7.5 mmol/l
- Diseases with a life expectation shorter than 5 years
- Major mental disorders
- Other physical/mental conditions that could interfere with study outcomes
- Medication
- Medication known to interfere with study outcomes (e.g. peroxisome proliferator-activated receptor-α (PPAR-α) or PPAR-γ agonists (fibrates), sulfonylureas, biguanides, α-glucosidase inhibitors, thiazolidinediones, repaglinide, nateglinide and insulin, chronic use of NSAIDs)
- Use of anticoagulants
- +21 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Maastricht University Medical Centerlead
- Wageningen University and Researchcollaborator
- Top Institute Food and Nutritioncollaborator
- Netherlands Organisation for Scientific Researchcollaborator
Study Sites (2)
Department of Human Biology, Maastricht University Medical Centre
Maastricht, 6200MD, Netherlands
Wageningen University and Research
Wageningen, 6700AA, Netherlands
Related Publications (5)
Jardon KM, Umanets A, Gijbels A, Trouwborst I, Hul GB, Siebelink E, Vliex LMM, Bastings JJAJ, Argamasilla R, Chenal E, Venema K, Afman LA, Goossens GH, Blaak EE. Distinct gut microbiota and metabolome features of tissue-specific insulin resistance in overweight and obesity. Gut Microbes. 2025 Dec;17(1):2501185. doi: 10.1080/19490976.2025.2501185. Epub 2025 May 7.
PMID: 40336254DERIVEDGijbels A, Jardon KM, Trouwborst I, Manusama KC, Goossens GH, Blaak EE, Feskens EJ, Afman LA. Fasting and postprandial plasma metabolite responses to a 12-wk dietary intervention in tissue-specific insulin resistance: a secondary analysis of the PERSonalized glucose Optimization through Nutritional intervention (PERSON) randomized trial. Am J Clin Nutr. 2024 Aug;120(2):347-359. doi: 10.1016/j.ajcnut.2024.05.027. Epub 2024 Jun 6.
PMID: 38851634DERIVEDTrouwborst I, Jardon KM, Gijbels A, Hul G, Feskens EJM, Afman LA, Linge J, Goossens GH, Blaak EE. Body composition and body fat distribution in tissue-specific insulin resistance and in response to a 12-week isocaloric dietary macronutrient intervention. Nutr Metab (Lond). 2024 Apr 9;21(1):20. doi: 10.1186/s12986-024-00795-y.
PMID: 38594756DERIVEDTrouwborst I, Gijbels A, Jardon KM, Siebelink E, Hul GB, Wanders L, Erdos B, Peter S, Singh-Povel CM, de Vogel-van den Bosch J, Adriaens ME, Arts ICW, Thijssen DHJ, Feskens EJM, Goossens GH, Afman LA, Blaak EE. Cardiometabolic health improvements upon dietary intervention are driven by tissue-specific insulin resistance phenotype: A precision nutrition trial. Cell Metab. 2023 Jan 3;35(1):71-83.e5. doi: 10.1016/j.cmet.2022.12.002.
PMID: 36599304DERIVEDGijbels A, Trouwborst I, Jardon KM, Hul GB, Siebelink E, Bowser SM, Yildiz D, Wanders L, Erdos B, Thijssen DHJ, Feskens EJM, Goossens GH, Afman LA, Blaak EE. The PERSonalized Glucose Optimization Through Nutritional Intervention (PERSON) Study: Rationale, Design and Preliminary Screening Results. Front Nutr. 2021 Jun 30;8:694568. doi: 10.3389/fnut.2021.694568. eCollection 2021.
PMID: 34277687DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ellen E Blaak, Prof.
Maastricht University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 25, 2018
First Posted
October 17, 2018
Study Start
June 4, 2018
Primary Completion
November 29, 2021
Study Completion
November 29, 2021
Last Updated
February 14, 2022
Record last verified: 2022-02