Gene-diet InteractionsiMPROVENCT04699448
Gene-diet Interactions on Body Weight Regulation and Lifestyle Parameters.
A study testing Nutritional intervention. in people with Gene-diet Interactions and Overweight and Obesity, run by Harokopio University at 1 site in Greece.
Trial summary
Increased body weight leading to the development and the establishment of overweight and obesity, has a growing detrimental effect on overall health status and quality of life. Latest research has been focusing on the direct influence of dietary habits on body weight regulation and its synergistic effect with genetic… Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Gene-diet Interactions, Overweight and Obesity, Body Weight Changes
- What is being tested?
- Nutritional intervention.
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 202 participants
- Where
- 1 siteGreece
- Study dates
- 13 Apr 2020to 14 Apr 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
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Men and women of 18 to 65 years of age.
- Body Mass Index of over 25kg/m2 (presence of overweight or obesity)
Who cannot join
- Pregnancy or lactation.
- Unregulated comorbidities (i.e. type 1 or 2 diabetes, cardiovascular disease, gastrointestinal disorders, mental illness, dietary disorders)
- Dietary supplements aiming at body weight loss
- Parallel participation in a different research study
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Genetic Predisposition and Body Weight Regulation. Evaluation of Target-genes in Overweight and Obese Adults, Under Different Dietary Interventions.
Increased body weight leading to the development and the establishment of overweight and obesity, has a growing detrimental effect on overall health status and quality of life. Latest research has been focusing on the direct influence of dietary habits on body weight regulation and its synergistic effect with genetic predisposition. The synergistic effect of genetic makeup and dietary habits constitute a major contributing factor, specifically in its manifestation on parameters of the cardiometabolic profile of individuals with elevated body weight.
In this context, the aim of the present study is to investigate the effect of two hypocaloric diets with different macronutrient content (a high-carbohydrate/low-fat and a high-protein one) on the body weight loss of an overweight and/or obese adult, Greek population. Moreover, the study aims to explore gene-diet interactions between obesity and weight loss- related target genes and adherence to the proposed dietary schemes. It will further examine influences of the aforementioned factors on body composition, anthropometric indices, such as waist circumference, biochemical biomarkers related to cardiometabolic control and parameters of lifestyle, such as sleep quality.
Read more
More specifically, 300 participants will be allocated into two groups, following either the high-carbohydrate/low-fat diet or the high-protein diet, for a duration of 3 months. Volunteers will participate in in-person meetings, at baseline and at three months after the beginning of the intervention. Anthropometric measurements and collection of blood samples will take place in each meeting. Demographic data and data on family and medical history, dietary habits, adherence to the Mediterranean diet, overall health status and physical activity will be collected at baseline. Participants will be provided with nutritional counselling and support both at the beginning and throughout the intervention. Participants will further report their monthly progress by completing online questionnaires (namely concerning their body weight, overall health status, physical activity and sleep quality), via use of an online assessment tool developed by our team.
The effect of the intervention will be evaluated using anthropometric indices, body composition markers and biochemical biomarkers of cardiometabolic control, pre- and post- intervention. Gene-diet interactions will be assessed via genotyping of DNA samples and statistical analyses will take place via statistical packages, such as PLINK v.1.9.
- Conditions
- Gene-diet Interactions, Overweight and Obesity, Body Weight Changes, Health Status, Quality of Life
- Being tested
- Nutritional intervention.
- Keywords
- Gene-diet interactions, Nutritional Intervention, Online Self-assessment Tools, Body Composition, Lifestyle characteristics
- Medical subject headings
- Overweight, Obesity, Body Weight Changes
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Nutritional intervention.Other
Diets designed for body weight loss, based on different macronutrient content.
| Study group | Role | What they receive |
|---|---|---|
| High-protein hypocaloric diet | Active comparator | Composition of hypocaloric diet: protein:40%,carbohydrates:30% and fat:30%. Receives: Other: Nutritional intervention. |
| High-carbohydrate hypocaloric diet | Active comparator | Composition of hypocaloric diet: carbohydrate 60%, protein:18% and fat:22% Receives: Other: Nutritional intervention. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Body Weight
Changes in body weight compared to baseline.
Measured: 3 months
Secondary outcomes (6)
Body fat percentage
Changes in body fat percentage compared to baseline.
Measured: 3 months
Waist circumference
Changes in waist circumference compared to baseline.
Measured: 3 months
Visceral fat
Changes in visceral fat compared to baseline.
Measured: 3 months
Biochemical profile
Changes in biochemical biomarkers related to metabolic syndrome and cardiovascular disease risk (i.e. total cholesterol, glucose, triglyceride and HDL levels) compared to baseline.
Measured: 3 months
Sleep quality
Changes in sleep quality characteristics compared to baseline. Assessment will take place via use of validated questionnaire.
Measured: 3 months
Overall health status
Changes in the overall health status compared to baseline. Assessment will take place via use of validated questionnaire.
Measured: 3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 Jan 2021
- Study start13 Apr 2020
- Primary completion14 Apr 2021
- Study completion14 Apr 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Gene-diet InteractionsStudies 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
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 202 participants (actual)
Sponsor and investigators
- Lead sponsor
- Harokopio University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, GEORGIOS DEDOUSSIS, Harokopio University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04699448
- Sponsor's protocol ID
- 1800/13-06-2019
- Acronym
- iMPROVE
- Status last verified
- Jan 2023
- First submitted
- 18 Dec 2020
- Last updated
- 11 Jan 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Bray GA, Krauss RM, Sacks FM, Qi L. Lessons Learned from the POUNDS Lost Study: Genetic, Metabolic, and Behavioral Factors Affecting Changes in Body Weight, Body Composition, and Cardiometabolic Risk. Curr Obes Rep. 2019 Sep;8(3):262-283. doi: 10.1007/s13679-019-00353-1.
PubMed 31214942Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Magi R, Strawbridge RJ, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JMW, Buchkovich ML, Heard-Costa NL, Roman TS, Drong AW, Song C, Gustafsson S, Day FR, Esko T, Fall T, Kutalik Z, Luan J, Randall JC, Scherag A, Vedantam S, Wood AR, Chen J, Fehrmann R, Karjalainen J, Kahali B, Liu CT, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bragg-Gresham JL, Buyske S, Demirkan A, Ehret GB, Feitosa MF, Goel A, Jackson AU, Johnson T, Kleber ME, Kristiansson K, Mangino M, Leach IM, Medina-Gomez C, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Stancakova A, Sung YJ, Tanaka T, Teumer A, Van Vliet-Ostaptchouk JV, Yengo L, Zhang W, Albrecht E, Arnlov J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Bluher M, Bohringer S, Bonnet F, Bottcher Y, Bruinenberg M, Carba DB, Caspersen IH, Clarke R, Daw EW, Deelen J, Deelman E, Delgado G, Doney AS, Eklund N, Erdos MR, Estrada K, Eury E, Friedrich N, Garcia ME, Giedraitis V, Gigante B, Go AS, Golay A, Grallert H, Grammer TB, Grassler J, Grewal J, Groves CJ, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heikkila K, Herzig KH, Helmer Q, Hillege HL, Holmen O, Hunt SC, Isaacs A, Ittermann T, James AL, Johansson I, Juliusdottir T, Kalafati IP, Kinnunen L, Koenig W, Kooner IK, Kratzer W, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindstrom J, Lobbens S, Lorentzon M, Mach F, Magnusson PK, Mahajan A, McArdle WL, Menni C, Merger S, Mihailov E, Milani L, Mills R, Moayyeri A, Monda KL, Mooijaart SP, Muhleisen TW, Mulas A, Muller G, Muller-Nurasyid M, Nagaraja R, Nalls MA, Narisu N, Glorioso N, Nolte IM, Olden M, Rayner NW, Renstrom F, Ried JS, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Sennblad B, Seufferlein T, Sitlani CM, Smith AV, Stirrups K, Stringham HM, Sundstrom J, Swertz MA, Swift AJ, Syvanen AC, Tayo BO, Thorand B, Thorleifsson G, Tomaschitz A, Troffa C, van Oort FV, Verweij N, Vonk JM, Waite LL, Wennauer R, Wilsgaard T, Wojczynski MK, Wong A, Zhang Q, Zhao JH, Brennan EP, Choi M, Eriksson P, Folkersen L, Franco-Cereceda A, Gharavi AG, Hedman AK, Hivert MF, Huang J, Kanoni S, Karpe F, Keildson S, Kiryluk K, Liang L, Lifton RP, Ma B, McKnight AJ, McPherson R, Metspalu A, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Olsson C, Perry JR, Reinmaa E, Salem RM, Sandholm N, Schadt EE, Scott RA, Stolk L, Vallejo EE, Westra HJ, Zondervan KT; ADIPOGen Consortium; CARDIOGRAMplusC4D Consortium; CKDGen Consortium; GEFOS Consortium; GENIE Consortium; GLGC; ICBP; International Endogene Consortium; LifeLines Cohort Study; MAGIC Investigators; MuTHER Consortium; PAGE Consortium; ReproGen Consortium; Amouyel P, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Blangero J, Brown MJ, Burnier M, Campbell H, Chakravarti A, Chines PS, Claudi-Boehm S, Collins FS, Crawford DC, Danesh J, de Faire U, de Geus EJ, Dorr M, Erbel R, Eriksson JG, Farrall M, Ferrannini E, Ferrieres J, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gieger C, Gudnason V, Haiman CA, Harris TB, Hattersley AT, Heliovaara M, Hicks AA, Hingorani AD, Hoffmann W, Hofman A, Homuth G, Humphries SE, Hypponen E, Illig T, Jarvelin MR, Johansen B, Jousilahti P, Jula AM, Kaprio J, Kee F, Keinanen-Kiukaanniemi SM, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuulasmaa K, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimaki T, Lyssenko V, Mannisto S, Marette A, Matise TC, McKenzie CA, McKnight B, Musk AW, Mohlenkamp S, Morris AD, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Palmer LJ, Penninx BW, Peters A, Pramstaller PP, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Shuldiner AR, Staessen JA, Steinthorsdottir V, Stolk RP, Strauch K, Tonjes A, Tremblay A, Tremoli E, Vohl MC, Volker U, Vollenweider P, Wilson JF, Witteman JC, Adair LS, Bochud M, Boehm BO, Bornstein SR, Bouchard C, Cauchi S, Caulfield MJ, Chambers JC, Chasman DI, Cooper RS, Dedoussis G, Ferrucci L, Froguel P, Grabe HJ, Hamsten A, Hui J, Hveem K, Jockel KH, Kivimaki M, Kuh D, Laakso M, Liu Y, Marz W, Munroe PB, Njolstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Perusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sinisalo J, Slagboom PE, Snieder H, Spector TD, Stefansson K, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Veronesi G, Walker M, Wareham NJ, Watkins H, Wichmann HE, Abecasis GR, Assimes TL, Berndt SI, Boehnke M, Borecki IB, Deloukas P, Franke L, Frayling TM, Groop LC, Hunter DJ, Kaplan RC, O'Connell JR, Qi L, Schlessinger D, Strachan DP, Thorsteinsdottir U, van Duijn CM, Willer CJ, Visscher PM, Yang J, Hirschhorn JN, Zillikens MC, McCarthy MI, Speliotes EK, North KE, Fox CS, Barroso I, Franks PW, Ingelsson E, Heid IM, Loos RJ, Cupples LA, Morris AP, Lindgren CM, Mohlke KL. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015 Feb 12;518(7538):187-196. doi: 10.1038/nature14132.
PubMed 25673412
Study at a glance
From the registry record, last updated by the sponsor on 11 Jan 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Genetic Predisposition and Body Weight Regulation. Evaluation of Target-genes in Overweight and Obese Adults, Under Different Dietary Interventions.
- ClinicalTrials.gov ID
- NCT04699448
- Acronym / sponsor ID
- iMPROVE / 1800/13-06-2019
- Conditions
- Gene-diet Interactions, Overweight and Obesity, Body Weight Changes, Health Status, Quality of Life
- Keywords
- Gene-diet interactions, Nutritional Intervention, Online Self-assessment Tools, Body Composition, Lifestyle characteristics
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 202 participants (actual)
- Lead sponsor
- Harokopio UniversityUniversity, hospital or other
- Study start
- 13 Apr 2020 (actual)
- Primary completion
- 14 Apr 2021 (actual)
- Study completion
- 14 Apr 2021 (actual)
- First posted
- 7 Jan 2021 (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.
Increased body weight leading to the development and the establishment of overweight and obesity, has a growing detrimental effect on overall health status and quality of life. Latest research has been focusing on the direct influence of dietary habits on body weight regulation and its synergistic effect with genetic predisposition. The synergistic effect of genetic makeup and dietary habits constitute a major contributing factor, specifically in its manifestation on parameters of the cardiometabolic profile of individuals with elevated body weight.
In this context, the aim of the present study is to investigate the effect of two hypocaloric diets with different macronutrient content (a high-carbohydrate/low-fat and a high-protein one) on the body weight loss of an overweight and/or obese adult, Greek population. Moreover, the study aims to explore gene-diet interactions between obesity and weight loss- related target genes and adherence to the proposed dietary schemes. It will further examine influences of the aforementioned factors on body composition, anthropometric indices, such as waist circumference, biochemical biomarkers related to cardiometabolic control and parameters of lifestyle, such as sleep quality.
More specifically, 300 participants will be allocated into two groups, following either the high-carbohydrate/low-fat diet or the high-protein diet, for a duration of 3 months. Volunteers will participate in in-person meetings, at baseline and at three months after the beginning of the intervention. Anthropometric measurements and collection of blood samples will take place in each meeting. Demographic data and data on family and medical history, dietary habits, adherence to the Mediterranean diet, overall health status and physical activity will be collected at baseline. Participants will be provided with nutritional counselling and support both at the beginning and throughout the intervention. Participants will further report their monthly progress by completing online questionnaires (namely concerning their body weight, overall health status, physical activity and sleep quality), via use of an online assessment tool developed by our team.
The effect of the intervention will be evaluated using anthropometric indices, body composition markers and biochemical biomarkers of cardiometabolic control, pre- and post- intervention. Gene-diet interactions will be assessed via genotyping of DNA samples and statistical analyses will take place via statistical packages, such as PLINK v.1.9.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| High-protein hypocaloric diet | Active comparator | Other: Nutritional intervention.Composition of hypocaloric diet: protein:40%,carbohydrates:30% and fat:30%. |
| High-carbohydrate hypocaloric diet | Active comparator | Other: Nutritional intervention.Composition of hypocaloric diet: carbohydrate 60%, protein:18% and fat:22% |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Men and women of 18 to 65 years of age.
- Body Mass Index of over 25kg/m2 (presence of overweight or obesity)
Key exclusion criteria (4 listed)
- Pregnancy or lactation.
- Unregulated comorbidities (i.e. type 1 or 2 diabetes, cardiovascular disease, gastrointestinal disorders, mental illness, dietary disorders)
- Dietary supplements aiming at body weight loss
- Parallel participation in a different research study
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 |
|---|---|---|
| Nutritional intervention.Diets designed for body weight loss, based on different macronutrient content. | Other | High-carbohydrate hypocaloric diet, High-protein hypocaloric diet |
Primary outcome
Body Weight
Time frame: 3 months
Changes in body weight compared to baseline.
6 secondary outcomes
Body fat percentage
Time frame: 3 months
Waist circumference
Time frame: 3 months
Visceral fat
Time frame: 3 months
Biochemical profile
Time frame: 3 months
Sleep quality
Time frame: 3 months
Overall health status
Time frame: 3 months
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 11 Jan 2023.
- Background: PubMed 31214942Bray GA, Krauss RM, Sacks FM, Qi L. Lessons Learned from the POUNDS Lost Study: Genetic, Metabolic, and Behavioral Factors Affecting Changes in Body Weight, Body Composition, and Cardiometabolic Risk. Curr Obes Rep. 2019 Sep;8(3):262-283. doi: 10.1007/s13679-019-00353-1.
- Background: PubMed 25673412Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Magi R, Strawbridge RJ, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JMW, Buchkovich ML, Heard-Costa NL, Roman TS, Drong AW, Song C, Gustafsson S, Day FR, Esko T, Fall T, Kutalik Z, Luan J, Randall JC, Scherag A, Vedantam S, Wood AR, Chen J, Fehrmann R, Karjalainen J, Kahali B, Liu CT, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bragg-Gresham JL, Buyske S, Demirkan A, Ehret GB, Feitosa MF, Goel A, Jackson AU, Johnson T, Kleber ME, Kristiansson K, Mangino M, Leach IM, Medina-Gomez C, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Stancakova A, Sung YJ, Tanaka T, Teumer A, Van Vliet-Ostaptchouk JV, Yengo L, Zhang W, Albrecht E, Arnlov J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Bluher M, Bohringer S, Bonnet F, Bottcher Y, Bruinenberg M, Carba DB, Caspersen IH, Clarke R, Daw EW, Deelen J, Deelman E, Delgado G, Doney AS, Eklund N, Erdos MR, Estrada K, Eury E, Friedrich N, Garcia ME, Giedraitis V, Gigante B, Go AS, Golay A, Grallert H, Grammer TB, Grassler J, Grewal J, Groves CJ, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heikkila K, Herzig KH, Helmer Q, Hillege HL, Holmen O, Hunt SC, Isaacs A, Ittermann T, James AL, Johansson I, Juliusdottir T, Kalafati IP, Kinnunen L, Koenig W, Kooner IK, Kratzer W, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindstrom J, Lobbens S, Lorentzon M, Mach F, Magnusson PK, Mahajan A, McArdle WL, Menni C, Merger S, Mihailov E, Milani L, Mills R, Moayyeri A, Monda KL, Mooijaart SP, Muhleisen TW, Mulas A, Muller G, Muller-Nurasyid M, Nagaraja R, Nalls MA, Narisu N, Glorioso N, Nolte IM, Olden M, Rayner NW, Renstrom F, Ried JS, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Sennblad B, Seufferlein T, Sitlani CM, Smith AV, Stirrups K, Stringham HM, Sundstrom J, Swertz MA, Swift AJ, Syvanen AC, Tayo BO, Thorand B, Thorleifsson G, Tomaschitz A, Troffa C, van Oort FV, Verweij N, Vonk JM, Waite LL, Wennauer R, Wilsgaard T, Wojczynski MK, Wong A, Zhang Q, Zhao JH, Brennan EP, Choi M, Eriksson P, Folkersen L, Franco-Cereceda A, Gharavi AG, Hedman AK, Hivert MF, Huang J, Kanoni S, Karpe F, Keildson S, Kiryluk K, Liang L, Lifton RP, Ma B, McKnight AJ, McPherson R, Metspalu A, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Olsson C, Perry JR, Reinmaa E, Salem RM, Sandholm N, Schadt EE, Scott RA, Stolk L, Vallejo EE, Westra HJ, Zondervan KT; ADIPOGen Consortium; CARDIOGRAMplusC4D Consortium; CKDGen Consortium; GEFOS Consortium; GENIE Consortium; GLGC; ICBP; International Endogene Consortium; LifeLines Cohort Study; MAGIC Investigators; MuTHER Consortium; PAGE Consortium; ReproGen Consortium; Amouyel P, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Blangero J, Brown MJ, Burnier M, Campbell H, Chakravarti A, Chines PS, Claudi-Boehm S, Collins FS, Crawford DC, Danesh J, de Faire U, de Geus EJ, Dorr M, Erbel R, Eriksson JG, Farrall M, Ferrannini E, Ferrieres J, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gieger C, Gudnason V, Haiman CA, Harris TB, Hattersley AT, Heliovaara M, Hicks AA, Hingorani AD, Hoffmann W, Hofman A, Homuth G, Humphries SE, Hypponen E, Illig T, Jarvelin MR, Johansen B, Jousilahti P, Jula AM, Kaprio J, Kee F, Keinanen-Kiukaanniemi SM, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuulasmaa K, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimaki T, Lyssenko V, Mannisto S, Marette A, Matise TC, McKenzie CA, McKnight B, Musk AW, Mohlenkamp S, Morris AD, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Palmer LJ, Penninx BW, Peters A, Pramstaller PP, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Shuldiner AR, Staessen JA, Steinthorsdottir V, Stolk RP, Strauch K, Tonjes A, Tremblay A, Tremoli E, Vohl MC, Volker U, Vollenweider P, Wilson JF, Witteman JC, Adair LS, Bochud M, Boehm BO, Bornstein SR, Bouchard C, Cauchi S, Caulfield MJ, Chambers JC, Chasman DI, Cooper RS, Dedoussis G, Ferrucci L, Froguel P, Grabe HJ, Hamsten A, Hui J, Hveem K, Jockel KH, Kivimaki M, Kuh D, Laakso M, Liu Y, Marz W, Munroe PB, Njolstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Perusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sinisalo J, Slagboom PE, Snieder H, Spector TD, Stefansson K, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Veronesi G, Walker M, Wareham NJ, Watkins H, Wichmann HE, Abecasis GR, Assimes TL, Berndt SI, Boehnke M, Borecki IB, Deloukas P, Franke L, Frayling TM, Groop LC, Hunter DJ, Kaplan RC, O'Connell JR, Qi L, Schlessinger D, Strachan DP, Thorsteinsdottir U, van Duijn CM, Willer CJ, Visscher PM, Yang J, Hirschhorn JN, Zillikens MC, McCarthy MI, Speliotes EK, North KE, Fox CS, Barroso I, Franks PW, Ingelsson E, Heid IM, Loos RJ, Cupples LA, Morris AP, Lindgren CM, Mohlke KL. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015 Feb 12;518(7538):187-196. doi: 10.1038/nature14132.
- Individual participant dataSharing planned: No
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.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Nutritional intervention. in people with Gene-diet Interactions and Overweight and Obesity, run by Harokopio University at 1 site in Greece.
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 2 inclusion and 4 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 11 Jan 2023. 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 Greece. 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?
Body Weight (time frame: 3 months). 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 NCT04699448, which also lists 2 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 11 Jan 2023.