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CompletedNCT03792685Updated Feb 21, 2021

Looking for Personalized Nutrition for Obesity/Type 2 Diabetes Mellitus Prevention

An interventional study of Normo-carbohydrate meal intake and High-carbohydrate meal intake in Overweight and Obesity, Diabetes Mellitus, Type 2 and Metabolic Syndrome, sponsored by Medical University of Bialystok. Completed at 1 site in Poland. Open to male participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2021-02-21.

Sponsored by Medical University of Bialystok · Not applicable, Interventional, and Basic science

From the registry’s dates

  • Registered 9 years 3 months after the study started (first participant enrolled Sep 2009, registered Dec 2018).
Phase
Not applicable
Study type
Interventional
Enrollment
150
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
Male
01

Study summary

The objectives of this trial are to assess the effects of interactions between genetic factors and diet with various macronutrient intake on the metabolic disorders, obesity and type 2 diabetes risk, prevention, development and progress.

Read the detailed description

This is a randomized, crossover study that includes 1 screening visit and four meal challenge test visits, separated by a 1-2-weeks washout period. The screening will include 2000 people, males and females, to evaluate the genotype frequencies in studied population, and to find carriers of the rare genetic single nucleotide polymorphisms (SNPs), who will fulfill all the other inclusion criteria. An oral glucose tolerance test (OGTT) will be completed at screening visit. Moreover, the fasting blood samples will be collected for genetic analysis, and measurements of blood glucose and lipid metabolism profile, high-sensitivity C-reactive protein (hs-CRP), hormones/peptides and other factors involved in energy balance regulation. Subjects will be asked to record their daily food intake for 3 days. Assessments of vital signs and body height and weight, waist and hip circumferences, body fat content and body fat distribution, review of concomitant medication/supplement use and inclusion and exclusion criteria, and evaluation of adverse effects will be performed throughout the study. To meal challenge test only men will be included, since the sex hormones may influence the study endpoints. Subjects will be encouraged to maintain their habitual diet during wash-out periods. During the each meal challenge test subjects will consume one of the study meals in random order. The blood will be collected at fasting state and 30, 60, 120, 180 and 240 minutes after meal intake. The energy expenditure and substrate utilization will be measured by indirect calorimetry method at the fasting and postprandially.

02

Conditions studied

  • Overweight and Obesity
  • Diabetes Mellitus, Type 2
  • Metabolic Syndrome
  • Genetic Predisposition
  • Diet Modification
03

In context

Diabetes Mellitus

10,925 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's enrollment of 150 is above the median of 80 across 8,367 interventional studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

Medical University of Bialystok is the lead sponsor of 68 studies on the registry; 17 are open to participants now.

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

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Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
Male
Accepts healthy volunteers
Yes

Inclusion criteria

  • healthy men with normal body weight and with overweight/obesity
  • men with metabolic syndrome, hypertension, type 2 diabetes newly diagnosed, or not treated with any medicines
  • maintaining the usual diet and lifestyle throughout the study

Exclusion criteria

Exclusion Criteria:

  • infectious or acute diseases in the last 4 weeks before the study visits
  • any medicines/dietary supplements consumption in the last 4 weeks before the study visits
  • high level of daily physical activity
  • the following any special diet or dietary patterns (vegetarian, high-fat etc.)
  • the presence of any other significant disease which may affect the results (hormonal disorders, history of any surgeries on gastrointestinal tract, allergies known or suspected, heart failure, history of cancer, any kidney, pancrea and liver diseases, except non-alcoholic fatty liver)
  • abusive alcohol consumption
  • abusive coffee or energy drinks consumption
  • drug consumption
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Participant)
Enrollment
150 participants (actual)

Study arms

  • Experimental
    Normal weight

    Normal weight men. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake.

    Other: Normo-carbohydrate meal intake · Other: High-carbohydrate meal intake · Other: High-fat meal intake · Other: High-protein meal intake

  • Experimental
    Overweight/obesity

    Men with overweight or obesity. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake.

    Other: Normo-carbohydrate meal intake · Other: High-carbohydrate meal intake · Other: High-fat meal intake · Other: High-protein meal intake

  • Experimental
    Diabetes

    Men with prediabetes or type 2 diabetes mellitus. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake.

    Other: Normo-carbohydrate meal intake · Other: High-carbohydrate meal intake · Other: High-fat meal intake · Other: High-protein meal intake

Interventions

  • OtherNormo-carbohydrate meal intake

    Subjects are going to receive the normo-carbohydrate meal.

  • OtherHigh-carbohydrate meal intake

    Subjects are going to receive the high-carbohydrate meal.

  • OtherHigh-fat meal intake

    Subjects are going to receive the high-fat meal.

  • OtherHigh-protein meal intake

    Subjects are going to receive the high-protein meal.

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What researchers measure

Primary outcomes

  1. The postprandial change and differences in blood glucose levels associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood glucose concentrations (mg/dL) will be evaluated, dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  2. The postprandial change and differences in serum insulin concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in serum insulin concentrations (IU/mL) will be evaluated, dependently on the meal type, genetic and metabolic (body weight, body fat content)

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  3. The change and differences in postprandial Triglycerides (TGs) concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood TGs (mg/dL) concentrations will be evaluated, dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  4. The change and differences in postprandial Free Fatty Acids (FFAs) concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood FFAs (umol/L) concentrations will be evaluated, dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  5. The change and differences in postprandial energy expenditure levels associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in energy expenditure levels (kcal/min) will be evaluated by indirect calorimetry method, dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 60, 120, 180, 240 minutes after meal intake.

  6. The change and differences in postprandial substrates (carbohydrate, fat and protein) utilization levels associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in substrates (carbohydrate, fat and protein) utilization (mg/min) will be evaluated by indirect calorimetry method, dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 60, 120, 180, 240 minutes after meal intake.

Secondary outcomes

  1. The change and differences in postprandial ghrelin concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood ghrelin concentrations (pg/mL) will be evaluated dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  2. The change and differences in postprandial leptin concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood leptin concentrations (ng/mL) will be evaluated dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  3. The change and differences in postprandial adiponectin concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood adiponectin concentrations (ng/mL) will be evaluated dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.

  4. The change and differences in postprandial peptide YY (PYY) concentrations associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in blood PYY (pg/mL) concentrations will be evaluated dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180 minutes after meal intake.

  5. The change and differences in postprandial plasma metabolites profiles associated with investigated single nucleotide polymorphisms.

    The postprandial change and differences in plasma metabolites profiles (metabolomic fingerprinting) will be evaluated dependently on the meal type, genetic and metabolic (body weight, body fat content) factors.

    Time frame: Fasting (time 0) and 30, 60, 120, 180 minutes after meal intake.

07

Study locations

1 site
  • Clinical Research Centre, Medical University of Bialystok
    Bialystok, Polska 15-276, Poland
08

References and documents

Publications

  • Adamska E, Ostrowska L, Goscik J, Waszczeniuk M, Kretowski A, Gorska M. Intake of Meals Containing High Levels of Carbohydrates or High Levels of Unsaturated Fatty Acids Induces Postprandial Dysmetabolism in Young Overweight/Obese Men. Biomed Res Int. 2015;2015:147196. doi: 10.1155/2015/147196. Epub 2015 Nov 2. PubMed 26609520 ↗
  • Ciborowski M, Adamska E, Rusak M, Godzien J, Wilk J, Citko A, Bauer W, Gorska M, Kretowski A. CE-MS-based serum fingerprinting to track evolution of type 2 diabetes mellitus. Electrophoresis. 2015 Sep;36(18):2286-2293. doi: 10.1002/elps.201500021. Epub 2015 Jun 26. PubMed 25964024 ↗
  • Kretowski A, Adamska E, Maliszewska K, Wawrusiewicz-Kurylonek N, Citko A, Goscik J, Bauer W, Wilk J, Golonko A, Waszczeniuk M, Lipinska D, Hryniewicka J, Niemira M, Paczkowska M, Ciborowski M, Gorska M. The rs340874 PROX1 type 2 diabetes mellitus risk variant is associated with visceral fat accumulation and alterations in postprandial glucose and lipid metabolism. Genes Nutr. 2015 Mar;10(2):4. doi: 10.1007/s12263-015-0454-6. Epub 2015 Jan 20. PubMed 25601634 ↗
  • Ostrowska L, Fiedorczuk J, Adamska E. Effect of diet and other factors on serum adiponectin concentrations in patients with type 2 diabetes. Rocz Panstw Zakl Hig. 2013;64(1):61-6. PubMed 23789315 ↗
  • Ostrowska L, Witczak K, Adamska E. Effect of nutrition and atherogenic index on the occurrence and intensity of insulin resistance. Pol Arch Med Wewn. 2013;123(6):289-96. doi: 10.20452/pamw.1774. Epub 2013 Jun 5. PubMed 23739212 ↗
  • Adamska E, Ostrowska L, Adamska E, Maliszewska K, Citko A, Waszczeniuk M, Przystupa W, Majewski R, Wasilewska A, Milewski R, Krytowski A, Gorska M. [Differences in dietary habits and food preferences of adults depending on the age]. Rocz Panstw Zakl Hig. 2012;63(1):73-81. Polish. PubMed 22642073 ↗
  • Adamska E, Waszczeniuk M, Goscik J, Golonko A, Wilk J, Pliszka J, Maliszewska K, Lipinska D, Milewski R, Wasilewska A, Citko A, Nikolajuk A, Ostrowska L, Kretowski A, Gorska M. The usefulness of glycated hemoglobin A1c (HbA1c) for identifying dysglycemic states in individuals without previously diagnosed diabetes. Adv Med Sci. 2012;57(2):296-301. doi: 10.2478/v10039-012-0030-x. PubMed 22968341 ↗
  • Adamska-Patruno E, Ostrowska L, Golonko A, Pietraszewska B, Goscik J, Kretowski A, Gorska M. Evaluation of Energy Expenditure and Oxidation of Energy Substrates in Adult Males after Intake of Meals with Varying Fat and Carbohydrate Content. Nutrients. 2018 May 16;10(5):627. doi: 10.3390/nu10050627. PubMed 29772667 ↗
  • Adamska E, Kretowski A, Goscik J, Citko A, Bauer W, Waszczeniuk M, Maliszewska K, Paczkowska-Abdulsalam M, Niemira M, Szczerbinski L, Ciborowski M, Gorska M. The type 2 diabetes susceptibility TCF7L2 gene variants affect postprandial glucose and fat utilization in non-diabetic subjects. Diabetes Metab. 2018 Sep;44(4):379-382. doi: 10.1016/j.diabet.2017.05.001. Epub 2017 May 31. No abstract available. PubMed 28579156 ↗
  • Adamska-Patruno E, Ostrowska L, Goscik J, Pietraszewska B, Kretowski A, Gorska M. The relationship between the leptin/ghrelin ratio and meals with various macronutrient contents in men with different nutritional status: a randomized crossover study. Nutr J. 2018 Dec 28;17(1):118. doi: 10.1186/s12937-018-0427-x. PubMed 30593267 ↗
  • Adamska-Patruno E, Goscik J, Czajkowski P, Maliszewska K, Ciborowski M, Golonko A, Wawrusiewicz-Kurylonek N, Citko A, Waszczeniuk M, Kretowski A, Gorska M. The MC4R genetic variants are associated with lower visceral fat accumulation and higher postprandial relative increase in carbohydrate utilization in humans. Eur J Nutr. 2019 Oct;58(7):2929-2941. doi: 10.1007/s00394-019-01955-0. Epub 2019 Apr 3. PubMed 30945034 ↗
  • Godzien J, Kalaska B, Adamska-Patruno E, Siroka J, Ciborowski M, Kretowski A, Barbas C. Oxidized glycerophosphatidylcholines in diabetes through non-targeted metabolomics: Their annotation and biological meaning. J Chromatogr B Analyt Technol Biomed Life Sci. 2019 Jul 1;1120:62-70. doi: 10.1016/j.jchromb.2019.04.053. Epub 2019 Apr 29. PubMed 31071580 ↗
  • Szczerbinski L, Goscik J, Bauer W, Wawrusiewicz-Kurylonek N, Paczkowska-Abdulsalam M, Niemira M, Citko A, Adamska-Patruno E, Gorska M, Kretowski A. Efficacy of family history, genetic risk score, and physical activity in assessing the prevalence of type 2 diabetes. Pol Arch Intern Med. 2019 Aug 29;129(7-8):442-450. doi: 10.20452/pamw.14866. Epub 2019 Jun 6. PubMed 31169260 ↗
  • Adamska-Patruno E, Samczuk P, Ciborowski M, Godzien J, Pietrowska K, Bauer W, Gorska M, Barbas C, Kretowski A. Metabolomics Reveal Altered Postprandial Lipid Metabolism After a High-Carbohydrate Meal in Men at High Genetic Risk of Diabetes. J Nutr. 2019 Jun 1;149(6):915-922. doi: 10.1093/jn/nxz024. PubMed 31049566 ↗
  • Adamska-Patruno E, Godzien J, Ciborowski M, Samczuk P, Bauer W, Siewko K, Gorska M, Barbas C, Kretowski A. The Type 2 Diabetes Susceptibility PROX1 Gene Variants Are Associated with Postprandial Plasma Metabolites Profile in Non-Diabetic Men. Nutrients. 2019 Apr 19;11(4):882. doi: 10.3390/nu11040882. PubMed 31010169 ↗
  • Maliszewska K, Adamska-Patruno E, Goscik J, Lipinska D, Citko A, Krahel A, Miniewska K, Fiedorczuk J, Moroz M, Gorska M, Kretowski A. The Role of Muscle Decline in Type 2 Diabetes Development: A 5-Year Prospective Observational Cohort Study. Nutrients. 2019 Apr 12;11(4):834. doi: 10.3390/nu11040834. PubMed 31013777 ↗
  • Adamska-Patruno E, Ostrowska L, Goscik J, Fiedorczuk J, Moroz M, Kretowski A, Gorska M. The Differences in Postprandial Serum Concentrations of Peptides That Regulate Satiety/Hunger and Metabolism after Various Meal Intake, in Men with Normal vs. Excessive BMI. Nutrients. 2019 Feb 26;11(3):493. doi: 10.3390/nu11030493. PubMed 30813625 ↗
  • Czajkowski P, Adamska-Patruno E, Bauer W, Fiedorczuk J, Krasowska U, Moroz M, Gorska M, Kretowski A. The Impact of FTO Genetic Variants on Obesity and Its Metabolic Consequences is Dependent on Daily Macronutrient Intake. Nutrients. 2020 Oct 23;12(11):3255. doi: 10.3390/nu12113255. PubMed 33114268 ↗
  • Paczkowska-Abdulsalam M, Niemira M, Bielska A, Szalkowska A, Raczkowska BA, Junttila S, Gyenesei A, Adamska-Patruno E, Maliszewska K, Citko A, Szczerbinski L, Kretowski A. Evaluation of Transcriptomic Regulations behind Metabolic Syndrome in Obese and Lean Subjects. Int J Mol Sci. 2020 Feb 20;21(4):1455. doi: 10.3390/ijms21041455. PubMed 32093387 ↗
  • Bauer W, Adamska-Patruno E, Krasowska U, Moroz M, Fiedorczuk J, Czajkowski P, Bielska D, Gorska M, Kretowski A. Dietary Macronutrient Intake May Influence the Effects of TCF7L2 rs7901695 Genetic Variants on Glucose Homeostasis and Obesity-Related Parameters: A Cross-Sectional Population-Based Study. Nutrients. 2021 Jun 4;13(6):1936. doi: 10.3390/nu13061936. PubMed 34200102 ↗
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 21, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03792685
Lead sponsor
Medical University of Bialystok
Collaborators
Ministry of Science and Higher Education, Poland
Responsible party
Sponsor
First posted
Jan 3, 2019
Start date
Sep 24, 2009
Primary completion
Jun 1, 2020
Completion
Jan 1, 2021
Last update
Feb 21, 2021

Study contacts

Edyta Adamska-Patruno, PhD
study director · Clinical Research Centre, Medical University of Bialystok
Maria Gorska, Prof.
principal investigator · Dept of Endocrinology, Diabetology and Internal Medicine
Adam Kretowski, Prof.
principal investigator · Dept of Endocrinology, Diabetology and Internal Medicine; Clinical Research Centre

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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