Gastrointestinal Dysfunction Clinical Trial
— PromephyOfficial title:
Promephy - Metabolic Fate of Plant-based Proteins
NCT number | NCT05669612 |
Other study ID # | R9097 |
Secondary ID | |
Status | Recruiting |
Phase | N/A |
First received | |
Last updated | |
Start date | May 2, 2023 |
Est. completion date | December 1, 2024 |
The PROMEPHY study aims to assess differences between animal versus plant-based proteins on metabolic and physiological parameters in healthy adults. It is envisaged that the results from this study will provide important and novel insights into the potential health-benefits of regular consumption of plant-based proteins. This may enable future application in products available to the consumer. The main objective of this study is to compare the changes in serum essential amino acid bioavailability after two weeks of daily consumption of a plant-based protein mix with the changes in serum essential amino acid bioavailability after two weeks of daily consumption of a milk protein isolate. In addition this study will aim to assess the impact of different protein sources on gut microbiota and proteome composition to determine the potential health impact of consumption of plant-based proteins.
Status | Recruiting |
Enrollment | 20 |
Est. completion date | December 1, 2024 |
Est. primary completion date | March 1, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 50 Years |
Eligibility | Inclusion Criteria: 1. Age = 18 and = 50 years 2. Body Mass Index (BMI) = 18.5 and = 24.9 kg/m2 3. Written informed consent 4. Willingness and ability to comply with the protocol 5. Willingness to use a method of birth control during participation in the study (women only) 6. Judged by the investigator to be in good health Exclusion Criteria: 1. Any known ongoing medical condition that interferes significantly with absorption and digestion and/or gastrointestinal (GI) function (e.g. inflammatory bowel disease, gastroesophageal reflux disease, celiac disease, diaphragmatic hernia or diaphragmatic surgery, gastric ulcer, gastritis, gall bladder problems, pancreatitis, GI cancer, oesophageal and/or gastric surgery), in opinion of the investigator. 2. Known cardiovascular disease, disease related to the immune system and/or the respiratory system 3. Known renal or hepatic failure or known thyroid dysfunction 4. Known Diabetes Mellitus type I or type II 5. Any ongoing cancer (except for basal cell carcinoma) and/ or cancer treatment 6. Haemoglobin (Hb) in men <7.5 mmol/l and in women <7.0 mmol/l at screening 7. Any known bleeding disorder 8. Use of oral and systemic use of prokinetics, laxatives, antidiarrheals, anticoagulants within 3 weeks of Visit 1 9. Use of antibiotics within 3 months prior to Visit 1 10. Known lactose intolerance or known plant-based protein allergy 11. Adherence to a strict dietary regime (e.g. vegetarian/ vegan/ paleo/ketogenic/high protein diet or a weight loss program) 12. Use of any nutritional supplements or additional protein supplements or nutritional support within 6 weeks prior to visit 1 13. Regular heavy and/or extreme exercise (e.g. trained elite athletes) in opinion of the investigator 14. Known pregnancy and/or lactation (women only) 15. Current smoking or stopped smoking for < 1 month prior to screening (except for incidental smoking of = 3 cigarettes/cigars/pipes per week on average in the last month) and willingness to stop entirely during study participation (after enrolment). 16. Average alcohol use of > 21 glasses per week for men or > 14 glasses per week for women (on average during the last 6 months) or drug/ medicine abuse in opinion of the investigator 17. Participation in any other clinical study with investigational or marketed products concomitantly or within four weeks before study visit 1 18. Major medical or surgical event requiring hospitalization within the preceding 3 months and/or scheduled in the period of study participation relevant in the opinion of the investigator 19. Investigator's uncertainty about the willingness or ability of the subject to comply with the protocol requirements |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Anglia Ruskin University | Cambridge | Cambridgeshire |
Lead Sponsor | Collaborator |
---|---|
Anglia Ruskin University | Danone Nutricia Research |
United Kingdom,
Beaumont M, Portune KJ, Steuer N, Lan A, Cerrudo V, Audebert M, Dumont F, Mancano G, Khodorova N, Andriamihaja M, Airinei G, Tome D, Benamouzig R, Davila AM, Claus SP, Sanz Y, Blachier F. Quantity and source of dietary protein influence metabolite product — View Citation
Blachier F, Beaumont M, Portune KJ, Steuer N, Lan A, Audebert M, Khodorova N, Andriamihaja M, Airinei G, Benamouzig R, Davila AM, Armand L, Rampelli S, Brigidi P, Tome D, Claus SP, Sanz Y. High-protein diets for weight management: Interactions with the intestinal microbiota and consequences for gut health. A position paper by the my new gut study group. Clin Nutr. 2019 Jun;38(3):1012-1022. doi: 10.1016/j.clnu.2018.09.016. Epub 2018 Sep 20. — View Citation
David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA, Biddinger SB, Dutton RJ, Turnbaugh PJ. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014 Jan 23;505(7484):559-63. do — View Citation
Liu J, Klebach M, Visser M, Hofman Z. Amino Acid Availability of a Dairy and Vegetable Protein Blend Compared to Single Casein, Whey, Soy, and Pea Proteins: A Double-Blind, Cross-Over Trial. Nutrients. 2019 Nov 1;11(11):2613. doi: 10.3390/nu11112613. — View Citation
Windey K, De Preter V, Verbeke K. Relevance of protein fermentation to gut health. Mol Nutr Food Res. 2012 Jan;56(1):184-96. doi: 10.1002/mnfr.201100542. Epub 2011 Nov 25. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Amino acid Profile | Measurement of essential amino acids (EAA; umol/L) area under the curve (iAUC) after two weeks of study product intake of plant based protein mix vs dairy protein mix | Change from beginning (day 1) to end of each trial (day 14) | |
Secondary | Uremic blood markers | Measurement of serum uremic acids (umol/L) | Change from beginning (day 1) to end of each trial (day 14) | |
Secondary | Microbiota profile | Untargeted Microbiota analyses from stool samples will be performed through 16S rRNA gene sequencing using gene primers for region V3-V4 | Change from beginning (day 1) to end of each trial (day 14) | |
Secondary | Proteome data | Proteome data from stool samples will be generated using nano-LC-LTQ-Orbitrap-MS | Change from beginning (day 1) to end of each trial (day 14) |
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