Modulation of Secondary Bile Acids Through the Intestinal Microbiota After Consumption of a High-protein Diet.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Armando R Tovar, Doctor
- Phone Number: 2802 52 5554870900
- Email: tovar.ar@gmail.com
Study Contact Backup
- Name: Martha Guevara-Cruz, Doctor
- Phone Number: 2802 525554870900
- Email: marthaguevara8@yahoo.com.mx
Study Locations
-
-
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Mexico City, Mexico
- Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
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
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / 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
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
|
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.
|
baseline, 7 days and 14 days
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Regulation of postprandial glucose response
Time Frame: 14 days
|
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
|
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
|
Change in serum insulin concentration determined by ELISA (pg/mL)
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Baseline, 7 days and 14 days
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
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
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
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 4532
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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