Overweight and ObesityNCT03792685
Looking for Personalized Nutrition for Obesity/Type 2 Diabetes Mellitus Prevention
A study testing Normo-carbohydrate meal intake, High-carbohydrate meal intake and High-fat meal intake in people with Overweight and Obesity and Diabetes Mellitus, Type 2, run by Medical University of Bialystok at 1 site in Poland.
Trial 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 more about this study
- Who is it for?
- Ages 18 to 65 years, men onlyHealthy volunteers can take part
- Conditions the study is for
- Overweight and Obesity, Diabetes Mellitus, Type 2, Metabolic Syndrome
- What is being tested?
- Normo-carbohydrate meal intake, High-carbohydrate meal intake and High-fat meal intake
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 150 participants
- Where
- 1 sitePoland
- Study dates
- 24 Sep 2009to 1 Jan 2021
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- Men only
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
Poland1 site
Clinical Research Centre, Medical University of Bialystok
Bialystok, Polska, 15-276
About this study
Official title: Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes
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.
- Conditions
- Overweight and Obesity, Diabetes Mellitus, Type 2, Metabolic Syndrome, Genetic Predisposition, Diet Modification
- Being tested
- Normo-carbohydrate meal intake, High-carbohydrate meal intake, High-fat meal intake, High-protein meal intake
- Medical subject headings
- Overweight, Obesity, Diabetes Mellitus, Type 2, Metabolic Syndrome, Genetic Predisposition to Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Normo-carbohydrate meal intakeOther
Subjects are going to receive the normo-carbohydrate meal.
High-carbohydrate meal intakeOther
Subjects are going to receive the high-carbohydrate meal.
High-fat meal intakeOther
Subjects are going to receive the high-fat meal.
High-protein meal intakeOther
Subjects are going to receive the high-protein meal.
| Study group | Role | What they receive |
|---|---|---|
| Normal weight | Experimental | Normal weight men. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake. Receives: Other: Normo-carbohydrate meal intake; Other: High-carbohydrate meal intake; Other: High-fat meal intake; Other: High-protein meal intake |
| Overweight/obesity | Experimental | Men with overweight or obesity. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake. Receives: Other: Normo-carbohydrate meal intake; Other: High-carbohydrate meal intake; Other: High-fat meal intake; Other: High-protein meal intake |
| Diabetes | Experimental | 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. Receives: Other: Normo-carbohydrate meal intake; Other: High-carbohydrate meal intake; Other: High-fat meal intake; Other: High-protein meal intake |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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)
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 60, 120, 180, 240 minutes after meal intake.
Secondary outcomes (5)
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.
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180 minutes after meal intake.
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.
Measured: Fasting (time 0) and 30, 60, 120, 180 minutes after meal intake.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Jan 2019
- Study start24 Sep 2009
- Primary completion1 Jun 2020
- Study completion1 Jan 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (20)Papers the sponsor has linked to this study.
- Other trials for Overweight and ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Basic science
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 150 participants (actual)
Sponsor and investigators
- Lead sponsor
- Medical University of Bialystok
- Sponsor type
- University, hospital or other
- Collaborators
- Ministry of Science and Higher Education, Poland
- Responsible party
- Sponsor
- Investigators
- Edyta Adamska-Patruno, PhD, Study director, Clinical Research Centre, Medical University of BialystokMaria Gorska, Prof., Principal investigator, Dept of Endocrinology, Diabetology and Internal MedicineAdam Kretowski, Prof., Principal investigator, Dept of Endocrinology, Diabetology and Internal Medicine; Clinical Research Centre
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03792685
- Sponsor's protocol ID
- N N402 477437
- Status last verified
- Feb 2021
- First submitted
- 26 Dec 2018
- Last updated
- 21 Feb 2021
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
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 26609520Ciborowski 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 25964024Kretowski 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 25601634Ostrowska 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 23789315Ostrowska 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 23739212Adamska 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 22642073Adamska 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 22968341Adamska-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 29772667Adamska 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 28579156Adamska-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 30593267Adamska-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 30945034Godzien 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 31071580Szczerbinski 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 31169260Adamska-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 31049566Adamska-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
Study at a glance
From the registry record, last updated by the sponsor on 21 Feb 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes
- ClinicalTrials.gov ID
- NCT03792685
- Acronym / sponsor ID
- N N402 477437
- Conditions
- Overweight and Obesity, Diabetes Mellitus, Type 2, Metabolic Syndrome, Genetic Predisposition, Diet Modification
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 150 participants (actual)
- Lead sponsor
- Medical University of BialystokUniversity, hospital or other
- Collaborators
- Ministry of Science and Higher Education, Poland
- Study start
- 24 Sep 2009 (actual)
- Primary completion
- 1 Jun 2020 (actual)
- Study completion
- 1 Jan 2021 (actual)
- First posted
- 3 Jan 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Primary purpose
- Basic science
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- Single blind (participant)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Normal weight | Experimental | Other: Normo-carbohydrate meal intake, Other: High-carbohydrate meal intake, Other: High-fat meal intake, Other: High-protein meal intakeNormal weight men. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake. |
| Overweight/obesity | Experimental | Other: Normo-carbohydrate meal intake, Other: High-carbohydrate meal intake, Other: High-fat meal intake, Other: High-protein meal intakeMen with overweight or obesity. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake. |
| Diabetes | Experimental | Other: Normo-carbohydrate meal intake, Other: High-carbohydrate meal intake, Other: High-fat meal intake, Other: High-protein meal intakeMen with prediabetes or type 2 diabetes mellitus. Interventions: normo-carbohydrate meal intake, high-carbohydrate meal intake, high-fat meal intake, high-protein meal intake. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- Male only
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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
Key exclusion criteria (8 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Normo-carbohydrate meal intakeSubjects are going to receive the normo-carbohydrate meal. | Other | Diabetes, Normal weight, Overweight/obesity |
| High-carbohydrate meal intakeSubjects are going to receive the high-carbohydrate meal. | Other | Diabetes, Normal weight, Overweight/obesity |
| High-fat meal intakeSubjects are going to receive the high-fat meal. | Other | Diabetes, Normal weight, Overweight/obesity |
| High-protein meal intakeSubjects are going to receive the high-protein meal. | Other | Diabetes, Normal weight, Overweight/obesity |
Primary outcome
The postprandial change and differences in blood glucose levels associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
The postprandial change and differences in serum insulin concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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)
The change and differences in postprandial Triglycerides (TGs) concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
The change and differences in postprandial Free Fatty Acids (FFAs) concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
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.
The change and differences in postprandial energy expenditure levels associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 60, 120, 180, 240 minutes after meal intake.
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.
The change and differences in postprandial substrates (carbohydrate, fat and protein) utilization levels associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 60, 120, 180, 240 minutes after meal intake.
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.
5 secondary outcomes
The change and differences in postprandial ghrelin concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
The change and differences in postprandial leptin concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
The change and differences in postprandial adiponectin concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.
The change and differences in postprandial peptide YY (PYY) concentrations associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180 minutes after meal intake.
The change and differences in postprandial plasma metabolites profiles associated with investigated single nucleotide polymorphisms.
Time frame: Fasting (time 0) and 30, 60, 120, 180 minutes after meal intake.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Feb 2021.
- Results publication: PubMed 26609520Adamska 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.
- Results publication: PubMed 25964024Ciborowski 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.
- Results publication: PubMed 25601634Kretowski 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.
- Results publication: PubMed 23789315Ostrowska 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.
- Results publication: PubMed 23739212Ostrowska 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.
- Results publication: PubMed 22642073Adamska 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.
- Results publication: PubMed 22968341Adamska 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.
- Results publication: PubMed 29772667Adamska-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.
- Results publication: PubMed 28579156Adamska 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.
- Results publication: PubMed 30593267Adamska-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.
- Results publication: PubMed 30945034Adamska-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.
- Results publication: PubMed 31071580Godzien 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
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
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Normo-carbohydrate meal intake, High-carbohydrate meal intake and High-fat meal intake in people with Overweight and Obesity and Diabetes Mellitus, Type 2, run by Medical University of Bialystok at 1 site in Poland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 21 Feb 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Poland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The postprandial change and differences in blood glucose levels associated with investigated single nucleotide polymorphisms. (time frame: Fasting (time 0) and 30, 60, 120, 180, 240 minutes after meal intake.). The study lists 6 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03792685, which also lists 20 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Feb 2021.