Obesity Clinical Trial
— PROFIMETOfficial title:
Effects of High Protein and High Cereal Fiber Diets on Insulin Sensitivity in Overweight and Obese Subjects With the Metabolic Syndrome - The PROFIMET Study
Verified date | March 2016 |
Source | German Institute of Human Nutrition |
Contact | n/a |
Is FDA regulated | No |
Health authority | Germany: Ethics Commission |
Study type | Interventional |
Randomized controlled single-blinded intervention study in 111 overweight and obese subjects
with risk factors of developing type 2 diabetes, with the aim to investigate effects of
isoenergetic high cereal fiber as compared with high protein diets over 6 and 18 weeks.
Proof of principle study with analysis according to study protocol, investigating whether
isoenergetic high cereal fiber and high protein diets with comparable fat contents, if
adhered to and after exclusion of known confounders such as changes in body weight, intake
of drugs with known effects on insulin sensitivity, or relevant changes in physical
activity, indeed affect insulin sensitivity.
Status | Completed |
Enrollment | 111 |
Est. completion date | July 2013 |
Est. primary completion date | March 2010 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Both |
Age group | 24 Years to 70 Years |
Eligibility |
Inclusion Criteria: - Waist > 80 cm (females) or > 94 cm (males) - BMI > 25 kg/m² - IFG, IGT, or insulin resistance; and/or dyslipidemia; and/or high blood pressure - Willingness to comply with one of the randomly assigned diets over the study period Exclusion Criteria: - Diabetes type 1 and type 2 - Pregnancy - Allergies including food allergies - Metal implants - Chronic disease of heart, kidney, or liver - Relevant deviation of body weight during isoenergetic 6-weeks period (+/- 3 kg) - Intake of drugs with known impact on whole-body insulin sensitivity during the study (e.g. cortisone, ASS, antibiotics) - Missing data about primary outcome measures (Clamp data, data about dietary intake from food diaries or 3-day food protocols) - Significant deviation from dietary targets during the monitored 6 weeks isoenergetic period (e.g. significant deviation from 30% target for dietary fat in all groups, intake of a low protein or low fiber diet in the high protein or high fiber groups, respectively) |
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Basic Science
Country | Name | City | State |
---|---|---|---|
Germany | Deutsches Diabetes Zentrum; Heinrich Heine University | Düsseldorf | |
Germany | Diagnostic and Interventional Radiology, Klinikum Ernst von Bergmann, Academic Teaching Hospital, Charité University Medicine Berlin | Potsdam | |
Germany | Eberhard-Karls University Tübingen, Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology | Tübingen | |
United Kingdom | University Hospitals Coventry and Warwickshire NHS Trust | Coventry | Warwickshire |
Lead Sponsor | Collaborator |
---|---|
German Institute of Human Nutrition | Charite University, Berlin, Germany, Coventry University, German Federal Ministry of Education and Research, Heinrich-Heine University, Duesseldorf, Medical University of Vienna, University Hospital Tuebingen, University Hospitals Coventry and Warwickshire NHS Trust |
Germany, United Kingdom,
Cuthbertson DJ, Weickert MO, Lythgoe D, Sprung VS, Dobson R, Shoajee-Moradie F, Umpleby M, Pfeiffer AF, Thomas EL, Bell JD, Jones H, Kemp GJ. External validation of the fatty liver index and lipid accumulation product indices, using 1H-magnetic resonance — View Citation
Gögebakan O, Kohl A, Osterhoff MA, van Baak MA, Jebb SA, Papadaki A, Martinez JA, Handjieva-Darlenska T, Hlavaty P, Weickert MO, Holst C, Saris WH, Astrup A, Pfeiffer AF; DiOGenes. Effects of weight loss and long-term weight maintenance with diets varying in protein and glycemic index on cardiovascular risk factors: the diet, obesity, and genes (DiOGenes) study: a randomized, controlled trial. Circulation. 2011 Dec 20;124(25):2829-38. doi: 10.1161/CIRCULATIONAHA.111.033274. Epub 2011 Nov 21. — View Citation
Hattersley JG, Möhlig M, Roden M, Arafat AM, Loeffelholz CV, Nowotny P, Machann J, Hierholzer J, Osterhoff M, Khan M, Pfeiffer AF, Weickert MO. Quantifying the improvement of surrogate indices of hepatic insulin resistance using complex measurement techni — View Citation
Hattersley JG, Pfeiffer AF, Roden M, Petzke KJ, Hoffmann D, Rudovich NN, Randeva HS, Vatish M, Osterhoff M, Goegebakan Ö, Hornemann S, Nowotny P, Machann J, Hierholzer J, von Loeffelholz C, Möhlig M, Arafat AM, Weickert MO. Modulation of amino acid metabo — View Citation
Isken F, Klaus S, Osterhoff M, Pfeiffer AF, Weickert MO. Effects of long-term soluble vs. insoluble dietary fiber intake on high-fat diet-induced obesity in C57BL/6J mice. J Nutr Biochem. 2010 Apr;21(4):278-84. doi: 10.1016/j.jnutbio.2008.12.012. Epub 2009 Apr 14. — View Citation
Weickert MO, Arafat AM, Blaut M, Alpert C, Becker N, Leupelt V, Rudovich N, Möhlig M, Pfeiffer AF. Changes in dominant groups of the gut microbiota do not explain cereal-fiber induced improvement of whole-body insulin sensitivity. Nutr Metab (Lond). 2011 — View Citation
Weickert MO, Mohlig M, Koebnick C, Holst JJ, Namsolleck P, Ristow M, Osterhoff M, Rochlitz H, Rudovich N, Spranger J, Pfeiffer AF. Impact of cereal fibre on glucose-regulating factors. Diabetologia. 2005 Nov;48(11):2343-53. Epub 2005 Sep 20. — View Citation
Weickert MO, Möhlig M, Schöfl C, Arafat AM, Otto B, Viehoff H, Koebnick C, Kohl A, Spranger J, Pfeiffer AF. Cereal fiber improves whole-body insulin sensitivity in overweight and obese women. Diabetes Care. 2006 Apr;29(4):775-80. — View Citation
Weickert MO, Pfeiffer AF. Low-glycemic index vs high-cereal fiber diet in type 2 diabetes. JAMA. 2009 Apr 15;301(15):1538; author reply 1538-9. doi: 10.1001/jama.2009.483. — View Citation
Weickert MO, Pfeiffer AF. Metabolic effects of dietary fiber consumption and prevention of diabetes. J Nutr. 2008 Mar;138(3):439-42. Review. — View Citation
Weickert MO, Roden M, Isken F, Hoffmann D, Nowotny P, Osterhoff M, Blaut M, Alpert C, Gögebakan O, Bumke-Vogt C, Mueller F, Machann J, Barber TM, Petzke KJ, Hierholzer J, Hornemann S, Kruse M, Illner AK, Kohl A, Loeffelholz CV, Arafat AM, Möhlig M, Pfeiff — View Citation
Weickert MO. What dietary modification best improves insulin sensitivity and why? Clin Endocrinol (Oxf). 2012 Oct;77(4):508-12. doi: 10.1111/j.1365-2265.2012.04450.x. — View Citation
* Note: There are 12 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | change in insulin sensitivity | whole-body insulin sensitivity measured with euglycemic hyperinsulinemic clamp; hepatic insulin sensitivity measured with stable isotope techniques (DD-glucose) during the clamps; relation with secondary outcome measures | 6 weeks | No |
Primary | change in insulin sensitivity | whole-body insulin sensitivity measured with euglycemic hyperinsulinemic clamp; hepatic insulin sensitivity measured with stable isotope techniques (DD-glucose) during the clamps; relation with secondary outcome measures | 18 weeks | No |
Secondary | factors that may contribute explaining changes in primary outcome measures | body fat composition (MRI and ADP), liver fat (H1-spectroscopy); hormones, adipokines, inflammatory and metabolic markers; insulin signaling pathways in adipose tissue (gene expression and protein level); changes in gut microbiota; bile acids; metabolite profiles; amino acid composition in diet and circulating blood. Relation of secondary outcome measures with primary outcome measures. | 0, 6, 18 weeks | No |
Secondary | biomarkers indicating dietary adherence | urinary nitrogen/creatine ratio and fecal BCAA as markers for protein intake; fecal SCFA and breath hydrogen levels as markers for fermentable fiber intake; HDL cholesterol as marker for carbohydrate intake | 0, 6, 18 weeks | No |
Secondary | development of indices for the prediction of insulin resistance (liver, whole-body) | baseline, validation after 6 -18 weeks | No | |
Secondary | development for indices for the prediction of fat mass (liver, abdominal) | baseline, validation after 6 -18 weeks | No |
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