- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05906641
Modulation of Secondary Bile Acids Through the Intestinal Microbiota After Consumption of a High-protein Diet.
March 4, 2024 updated by: Armando Tovar, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
This study will investigate whether changes in the gut microbiota generated after the consumption of a high protein diet in healthy subjects, modify the production of secondary bile acids.
In addition, it will be seen whether a high protein intake modifies postprandial glucose response and its relationship with gut microbiota composition.
Study Overview
Detailed Description
The gut microbiota is a set of microorganisms that inhabit the human digestive tract and are fundamental for the health of the host.
Among the functions of the gut microbiota is the production of metabolites, such as the production of secondary bile acids from primary bile acids.
On the other hand, evidence has shown that the amount of protein intake can modify the composition of the gut microbiota and in turn it increase the concentration of secondary biles acids in animal models.
In addition, the consumption of a high-protein diet has been related to a decrease in postprandial glucose concentrations.
Therefore, the aim of this study is to evaluate changes in secondary bile acids concentration derived from gut microbiota after the consumption of a high-protein diet in healthy subjects.
Subjects with a BMI between 18.5 and 24.9 kg/m2 will be selected and will be continuously monitored with a continuous glucose monitor through 15 days.
During the first 7 days participants will follow an isocaloric diet (50% carbohydrates, 30% fat and 20% protein), while during the last 7 days participants will receive an intervention with a supplement of protein (calcium caseinate) which will increase their protein intake to 30% of the total energy requirement.
At the initial and final visit, blood samples will be taken for determination of biochemical parameters, amino acids and primary bile acids and a stool sample will be requested for sequencing gut microbiota and determined secondary bile acids.
Study Type
Interventional
Enrollment (Actual)
22
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Mexico City, Mexico
- Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- Male and female.
- Between 18 and older
- BMI ≥ 18.5 and ≤ 24.9 kg/m2.
- Healthy
- Willing and able to sign written informed consent prior to trial entry
Exclusion Criteria:
- Have previously diagnosed with any chronic disease
- Patients with high blood pressure.
- Patients who have suffered a cardiovascular event.
- Patients with gastrointestinal diseases.
- Weight loss > 3 kg in the last 3 months.
- Catabolic diseases such as cancer and acquired immunodeficiency syndrome.
- Pregnancy status.
- Antibiotic consumption 3 months prior to the study.
- Be an undergraduate or graduate student within the Institute.
- Subjects with creatinine > 1.3 mg/dL for men and >1 mg/dL for women and ureic nitrogen > 20 mg/dL.
- Positive smoking.
Drug treatment:
- Antihypertensive drugs or treatment
- Treatment with hypoglycemic agents or insulin and antidiabetic drugs.
- Treatment with statins, fibrates or other drugs to control dyslipidemia.
- Use of antibiotics in the three months prior to the study.
- Use of steroid drugs, chemotherapy, immunosuppressants, or radiation therapy.
- Anorexigenic or that accelerate weight loss such as sibutramine or orlistat.
- Probiotic, prebiotic or symbiotic supplements.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: High-protein diet
Participants will receive an isocaloric diet with a distribution of 50% carbohydrates, 30% fat and 20% protein for the two-week intervention.
Additionally, they will receive a dietary supplement for the second week that will contribute another 10% of protein, obtaining 30% of protein consumption in the second week.
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Protein intake will be increased to be 30% calories from protein with calcium caseinate.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in faecal microbiota composition in response to high-protein diet
Time Frame: baseline, 7 days and 14 days
|
Changes to the faecal microbiota will be assessed on a high-protein diet compared to an isocaloric diet in a short period of time.
Bacterial composition was measured by 16 ribosomal sequencing at baseline at day 7 and at the end of the second week.
The relative change of each bacterial taxon was calculated based on the abundance of the given bacteria at baseline, at 7 days and after 14 days
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baseline, 7 days and 14 days
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Increase of secondary bile acids production
Time Frame: baseline, 7 days and 14 days
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Increase in the concentrations of lithocholic acid and deoxycholic acid in feces (mg/g of feces) measured by the method gas chromatography represented with the units micromol.
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baseline, 7 days and 14 days
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Regulation of postprandial glucose response
Time Frame: 14 days
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Change in interstitial glucose determined by a continuous glucose monitor (mg/dL) within two weeks.
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14 days
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Increase in serum glucagon concentration
Time Frame: Baseline, 7 days and 14 days
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Change in serum glucagon concentration determined by ELISA (pg/mL)
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Baseline, 7 days and 14 days
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Decrease in serum insulin concentration
Time Frame: Baseline, 7 days and 14 days
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Change in serum insulin concentration determined by ELISA (pg/mL)
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Baseline, 7 days and 14 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Armando R Tovar, Doctor, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
- Study Chair: Maria del Rocio Guizar-Heredia, Master, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
- Study Director: Martha Guevara-Cruz, Doctor, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- de Aguiar Vallim TQ, Tarling EJ, Edwards PA. Pleiotropic roles of bile acids in metabolism. Cell Metab. 2013 May 7;17(5):657-69. doi: 10.1016/j.cmet.2013.03.013. Epub 2013 Apr 18.
- Guzior DV, Quinn RA. Review: microbial transformations of human bile acids. Microbiome. 2021 Jun 14;9(1):140. doi: 10.1186/s40168-021-01101-1.
- Zhao X, Yang X, Hang HC. Chemoproteomic Analysis of Microbiota Metabolite-Protein Targets and Mechanisms. Biochemistry. 2022 Dec 20;61(24):2822-2834. doi: 10.1021/acs.biochem.1c00758. Epub 2022 Jan 6.
- Pak HH, Cummings NE, Green CL, Brinkman JA, Yu D, Tomasiewicz JL, Yang SE, Boyle C, Konon EN, Ong IM, Lamming DW. The Metabolic Response to a Low Amino Acid Diet is Independent of Diet-Induced Shifts in the Composition of the Gut Microbiome. Sci Rep. 2019 Jan 11;9(1):67. doi: 10.1038/s41598-018-37177-3.
- Tirosh A, Calay ES, Tuncman G, Claiborn KC, Inouye KE, Eguchi K, Alcala M, Rathaus M, Hollander KS, Ron I, Livne R, Heianza Y, Qi L, Shai I, Garg R, Hotamisligil GS. The short-chain fatty acid propionate increases glucagon and FABP4 production, impairing insulin action in mice and humans. Sci Transl Med. 2019 Apr 24;11(489):eaav0120. doi: 10.1126/scitranslmed.aav0120.
- Kumar DP, Asgharpour A, Mirshahi F, Park SH, Liu S, Imai Y, Nadler JL, Grider JR, Murthy KS, Sanyal AJ. Activation of Transmembrane Bile Acid Receptor TGR5 Modulates Pancreatic Islet alpha Cells to Promote Glucose Homeostasis. J Biol Chem. 2016 Mar 25;291(13):6626-40. doi: 10.1074/jbc.M115.699504. Epub 2016 Jan 12.
- Murphy EA, Velazquez KT, Herbert KM. Influence of high-fat diet on gut microbiota: a driving force for chronic disease risk. Curr Opin Clin Nutr Metab Care. 2015 Sep;18(5):515-20. doi: 10.1097/MCO.0000000000000209.
- Singh RK, Chang HW, Yan D, Lee KM, Ucmak D, Wong K, Abrouk M, Farahnik B, Nakamura M, Zhu TH, Bhutani T, Liao W. Influence of diet on the gut microbiome and implications for human health. J Transl Med. 2017 Apr 8;15(1):73. doi: 10.1186/s12967-017-1175-y.
- Wei M, Huang F, Zhao L, Zhang Y, Yang W, Wang S, Li M, Han X, Ge K, Qu C, Rajani C, Xie G, Zheng X, Zhao A, Bian Z, Jia W. A dysregulated bile acid-gut microbiota axis contributes to obesity susceptibility. EBioMedicine. 2020 May;55:102766. doi: 10.1016/j.ebiom.2020.102766. Epub 2020 May 11.
- Wu S, Bhat ZF, Gounder RS, Mohamed Ahmed IA, Al-Juhaimi FY, Ding Y, Bekhit AEA. Effect of Dietary Protein and Processing on Gut Microbiota-A Systematic Review. Nutrients. 2022 Jan 20;14(3):453. doi: 10.3390/nu14030453.
- FOLCH J, LEES M, SLOANE STANLEY GH. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem. 1957 May;226(1):497-509. No abstract available.
- Keller S, Jahreis G. Determination of underivatised sterols and bile acid trimethyl silyl ether methyl esters by gas chromatography-mass spectrometry-single ion monitoring in faeces. J Chromatogr B Analyt Technol Biomed Life Sci. 2004 Dec 25;813(1-2):199-207. doi: 10.1016/j.jchromb.2004.09.046.
- Van Elswyk ME, Weatherford CA, McNeill SH. A Systematic Review of Renal Health in Healthy Individuals Associated with Protein Intake above the US Recommended Daily Allowance in Randomized Controlled Trials and Observational Studies. Adv Nutr. 2018 Jul 1;9(4):404-418. doi: 10.1093/advances/nmy026.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
August 1, 2023
Primary Completion (Actual)
November 30, 2023
Study Completion (Actual)
December 30, 2023
Study Registration Dates
First Submitted
June 7, 2023
First Submitted That Met QC Criteria
June 7, 2023
First Posted (Actual)
June 18, 2023
Study Record Updates
Last Update Posted (Estimated)
March 5, 2024
Last Update Submitted That Met QC Criteria
March 4, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Other Study ID Numbers
- 4532
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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