Personalized Glucose Optimization Through Nutritional Intervention

NCT ID: NCT03708419

Last Updated: 2022-02-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

242 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-06-04

Study Completion Date

2021-11-29

Brief Summary

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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.

Detailed Description

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Study design: this study is a double-blinded, randomised, controlled, parallel design dietary intervention study. The study will be conducted at Maastricht University and Wageningen University and Research, the Netherlands.

Study population: the study population will consist of 240 men and women between 40-75 years old, with a BMI 25-40 kg/m2. Participants will be either muscle insulin resistant (MIR) or liver insulin resistant (LIR), as classified by an oral glucose tolerance test (OGTT) during the screening procedure. A subgroup of 80 participants will be selected for detailed metabolic phenotyping.

Intervention: for 12 weeks, participants will receive either a diet optimal for MIR (high in mono-unsaturated fatty acids) or a diet optimal for LIR (high in protein and fiber, low in fat) with respect to changes in disposition index. Participants will be randomly allocated to one of the two diets. Detailed laboratory and daily life phenotyping will be done pre- and post intervention.

Conditions

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Obesity Pre-diabetic Type 2 Diabetes Mellitus

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Investigators

Study Groups

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Optimal diet

Participants 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.

Group Type EXPERIMENTAL

Optimal diet

Intervention Type OTHER

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.

Suboptimal diet

Participants 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.

Group Type EXPERIMENTAL

Suboptimal diet

Intervention Type OTHER

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.

Interventions

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Optimal diet

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.

Intervention Type OTHER

Suboptimal diet

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* BMI 25 to \<40 kg/m2
* Predominantly muscle (MIR) or liver (LIR) insulin resistant
* Weight stability for at least 3 months (+/- 3 kg)

Exclusion Criteria

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
* Drug treated thyroid diseases (well substituted hypothyroidism is allowed inclusion)
* 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
* Use of antidepressants (stable use ≥ 3 months prior to and during the study is allowed)
* Use of statins (stable use ≥ months prior to and during study allowed)
* Use of β-blockers (only for the extensive phenotyping participants)
* Chronic corticosteroids treatment (\>7 consecutive days of treatment)
* Use of antibiotics within 3 months prior to the study

Lifestyle

* Participation in regular sports activities (\>4 hours per week)
* Having a restricted dietary pattern interfering with the study diets (e.g. vegan or Atkins diet)
* Plans to lose weight
* Abuse of alcohol (alcohol consumption \>14 units/week) and/or drugs (cannabis included)
* Not willing to limit alcohol consumption to 7 drinks per week
* Regular smoking (including use of e-cigarettes)
* Use of strong vitamins or dietary supplements (e.g. pre- or probiotics) expected to interfere with the study outcomes

Other

* Pregnant or lactating women who are planning to become pregnant
* Inability to comply with the study diet
* Blood donation within the last 3 months
* Participation in possibly interfering studies within the last 3 months
* Inability to understand study information and/or communicate with staff
* Unwillingness to be randomized or sign informed consent
* Unwillingness to save data for 15 years
Minimum Eligible Age

40 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Wageningen University and Research

OTHER

Sponsor Role collaborator

Top Institute Food and Nutrition

OTHER

Sponsor Role collaborator

Netherlands Organisation for Scientific Research

OTHER_GOV

Sponsor Role collaborator

Maastricht University Medical Center

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ellen E Blaak, Prof.

Role: PRINCIPAL_INVESTIGATOR

Maastricht University

Locations

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Department of Human Biology, Maastricht University Medical Centre

Maastricht, , Netherlands

Site Status

Wageningen University and Research

Wageningen, , Netherlands

Site Status

Countries

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Netherlands

References

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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.

Reference Type DERIVED
PMID: 40336254 (View on PubMed)

Gijbels 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.

Reference Type DERIVED
PMID: 38851634 (View on PubMed)

Trouwborst 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.

Reference Type DERIVED
PMID: 38594756 (View on PubMed)

Trouwborst 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.

Reference Type DERIVED
PMID: 36599304 (View on PubMed)

Gijbels 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.

Reference Type DERIVED
PMID: 34277687 (View on PubMed)

Other Identifiers

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NL63768.068.17

Identifier Type: -

Identifier Source: org_study_id

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