About this trial
Nutrition is very important to keep blood sugar levels balanced. If blood sugar levels are too high, it can lead to diseases such as cardiovascular disease and type 2 diabetes (T2DM). Therefore, adjusting what one eats, also called a diet or nutritional intervention, can help prevent these diseases. However, not everyone responds the same to a diet. In about 30% of people, a diet does not work as hoped. This can be due to various reasons, such as a person's metabolism, genetic predisposition, the composition of the food one eats, or the bacteria in the intestines. Everyday things like sleep, stress, and movement also play a role. The investigators used a computer model to classify people with overweight and obesity into groups based on these factors. The investigators call such a group a 'Metabolic Phenotype', or in short 'Metabotype'. Based on the Metabotype, a personalised diet was developed (personalised nutrition intervention) that may better suit each person's unique situation.
The investigators hypothesize that a precision nutrition intervention, tailored to Metabotypes identified through unsupervised clustering (using the aforementioned computer model) of predefined, accurate features related to cardiometabolic health-specifically, tissue-specific glucose and lipid metabolism and detailed body composition-will enhance blood glucose homeostasis, reduce cardiometabolic risk, and improve adherence to the intervention and mental well-being, compared to population-based dietary guidelines. The present project will contribute to targeted and efficient precision-based dietary strategies for individuals at increased risk of T2DM.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Men and women with a BMI ≥25 to <40 kg/m2
Classification possible to one of the investigational metabolic phenotypes according to the classification algorithm.
Weight stability for at least 3 months (+/- 3 kg)
Disqualifiers
(Pre-)diagnosis of type 1 or type 2 diabetes mellitus (i.e., FPG ≥ 7,0 mmol/L) and HbA1c ≥ 6,5% (48 mmol/mol)
Renal or hepatic malfunctioning (pre-diagnosis or determined based on ALAT and creatinine values)
Food allergies, intolerances (including gluten/lactose intolerance) and/or eating disorders interfering with the study
Cardiovascular diseases (e.g., heart failure) or cancer (e.g., noninvasive skin cancer allowed)
Trial design
Parallel
Treatments tested in this trial
Optimal Metabotype-specific diet
Other interventionFollowing screening, baseline measurements, and determination of Metabotype, participants will be randomly assigned, using minimisation, to either the Precision Nutrition (PN) group or the Control (CN) group. The PN group will receive a diet hypothesised to be optimal for their specific Metabotype. All participants will adhere to their assigned diets for 12 months. Each Metabotype-specific diet will align with the Dutch Healthy Dietary Guidelines, while varying in macronutrient composition and quality.
Sub-optimal diet
Other interventionParticipants randomised to the Control Group (CN), will be randomly assigned one of the two diets optimised for a different Metabotype of the same sex. The assigned CN Group diet will always have a macronutrient content and quality that is different than their hypothesised optimal diet. All diets will align with the Dutch Healthy Dietary Guidelines.
Treatment groups
Trial outcomes
Primary outcomes
Matsuda Index
The primary objective of this study is to evaluate the effect of a 12-month Metabotype-targeted diet (PN) versus a non-targeted diet (CN) on whole-body insulin sensitivity (Matsuda Index; marker of whole-body fasting and postprandial insulin sensitivity). This will include within group post-hoc testing. The primary outcome measure will be assessed by means of a 7-point oral glucose tolerance test (OGTT), and calculated as follows: \[10,000 / square root of \[fasting plasma glucose (mg/dL) × fasting insulin (mU/L)\] × \[mean glucose (mg/dL) x mean insulin (mU/L)\]\].
Secondary outcomes
Glucose tolerance
Optimal (PN) versus sub-optimal (CN) diet, including within group post-hoc testing. Determined by 2-hour plasma glucose values (mmol/L) during an oral glucose tolerance test (OGTT).
Disposition Index (DI)
Optimal (PN) versus sub-optimal (CN) diet, including within group post-hoc testing. The Disposition Index is a composite marker of first phase insulin secretion and insulin sensitivity during a 2-hour 7-point 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.
HOMA-IR
Optimal (PN) versus sub-optimal (CN) diet, including within group post-hoc testing. HOMA-IR is a fasting measure for insulin resistance, which can be calculated as follows: HOMA-IR = (Fasting plasma glucose (mmol/L) \* Fasting Insulin (mU/L)) / 22.5. Higher values represent a higher degree of insulin resistance. Determined in plasma during a 2-hour, 7-points oral glucose tolerance test (OGTT).
Muscle insulin sensitivity (MISI)
Optimal (PN) versus sub-optimal (CN) diet, including within group post-hoc testing. Determined during a 2-hour, 7-point oral glucose tolerance test (OGTT). The muscle insulin sensitivity index (MISI) will be calculated as follows: MISI (mmol/l/min/pmol/l) = (dG/dt) / mean plasma insulin concentration (pmol/l) during OGTT. Here, dG/dt is the rate of decay of plasma glucose concentration (mmol/L) during the OGTT, calculated as the slope of the least square fit to the decline in plasma glucose concentration from peak to nadir. Higher values represent higher muscle insulin sensitivity.
Other outcomes
Baseline characteristics
Baseline characteristics (age, sex, ethnicity, lifestyle, socioeconomic status, medical history, medication use, family composition and history of T2DM, and menopausal state) will also be recorded, for the purpose of screening, metabolic classification and potential post-hoc analysis.
Metabotype cluster
The Metabotype cluster (one of three possible groups for each sex) will be assessed at three time points. Namely, baseline, at 6 months and at 12 months. To determine the Metabotype, several outcome measures derived from the OGTT and anthropometrics will be aggregated by the described classification algorithm (see study description).
Capillary Blood Samples (CBS)
Capillary Blood Samples (CBS) samples will be obtained via fingerpick parallel to the venous fasting blood sample collected during the oral glucose tolerance test (OGTT). These samples will be analyzed to explore the feasibility of developing a simplified classification algorithm for determining Metabotype, providing a potentially more accessible and less invasive diagnostic approach. CBS will only be obtained in a sub-group of participants at the MUMC+, none will be obtained from participants at WUR.
Sponsors and contacts
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Maastricht University Medical Center
Lead sponsor
Wageningen University and Research
Collaborator
Health Holland
Collaborator
TKI Agri & Food
Collaborator
Nestle Health Science
Collaborator
Beneo GmbH
Collaborator
BARILLA G. e R. Fratelli S.p.A., Parma, Italy
Collaborator