- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03418857
Probiotics and Gut Health (PRO)
December 12, 2021 updated by: Connie J Rogers, Penn State University
The Role of Probiotics in Attenuating Inflammation and Improving Gut Health in Obese Adults
This study evaluates the effects of probiotic consumption on inflammatory outcomes and measures of gut health.
Participants will be given yogurt with probiotics for one period and yogurt without probiotics for another, with a break in between.
These periods will occur in random order.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Anticipated)
40
Phase
- Phase 2
- Phase 1
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Connie J Rogers, PhD, MPH
- Phone Number: 814 867 3716
- Email: cjr102@psu.edu
Study Locations
-
-
Pennsylvania
-
University Park, Pennsylvania, United States, 16802
- Recruiting
- The Pennsylvania State University
-
Contact:
- Connie J Rogers
- Email: cjr102@psu.edu
-
Principal Investigator:
- Connie J Rogers, PhD, MPH
-
-
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
55 years to 75 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- BMI ≥ to 25 and less than 35 kg/m^2
- Increased waist circumference (men: ≥ 94 cm, women: ≥ 80 cm)
- At least one of the metabolic syndrome criteria-
- serum triglycerides: ≥ 150 mg/dL
- HDL cholesterol: ≤ 40 mg/dL in men, ≤ 50 mg/dL in women
- blood pressure: ≥ 130 mmHg systolic or ≥ 85 mmHg diastolic
- fasting plasma glucose ≥ 100 mg/dL
Exclusion Criteria:
- allergy to dairy
- smoking and/or use of tobacco products
- systolic blood pressure ≥ 160 mmHg
- diastolic blood pressure > 100 mmHg
- fasting glucose ≥ 126 mg/dL
- history of myocardial infarction, cardiovascular disease (CVD), stroke, diabetes mellitus, liver disease, kidney disease, thyroid disease (unless controlled on medication)
- use of cholesterol or lipid lowering medications
- use of anti-hypertensive or glucose lowering supplements (psyllium, fish oil capsules, soy lecithin, niacin, fiber, flax, phytoestrogens, and stanol/sterol supplemented foods)
- refusal to discontinue nutritional supplements, herbs, vitamins, or other probiotics
- clinical diagnosis of inflammatory bowel disease (IBD) e.g. Chron's disease or ulcerative colitis
- Use of antibiotics within the last 2 months
- excessive alcohol consumption (≥ 14 standard drinks per week)
- regular use of anti-inflammatory medications (e.g. aspirin, ibuprofen)
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: Treatment
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Experimental
Participants will consume one yogurt smoothie daily for the duration of the intervention that contains 3.16 × 109 colony forming units (CFU) bifidobacterium animalis subsp.
lactis BB-12.
Participants will be asked to refrain from consumption of other yogurt or probiotic-containing foods.
|
During the one month intervention period, the participants will consume one yogurt smoothie with BB-12 daily.
|
Placebo Comparator: Control
Participants will consume one yogurt smoothie daily for the duration of the intervention that contains no BB-12.
Participants will be asked to refrain from consumption of other yogurt or probiotic-containing foods.
|
During the one month control period, the participants will consume one yogurt smoothie daily.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change from baseline in inflammatory markers
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in inflammatory markers in the serum and secreted cytokines from lipopolysaccharide (LPS)-stimulated peripheral blood mononuclear cells compared to baseline.
In the serum the markers to be investigated are high sensitivity c-reactive protein (hs-CRP), tumor necrosis factor alpha (TNF-a), interleukin 1 beta (IL-1B), IL-6, IL-8, IL-10, IL-12p70, monocyte chemotactic protein 1 (MCP-1), macrophage inflammatory protein alpha (MIP-1a), sCD14, and LPS binding protein (LPB).
From LPS-stimulated peripheral blood mononuclear cells the cytokines to be investigated are TNF-a, IL-1B, IL-6, IL-8, IL-10, IL-12p70, MCP-1, and MIP-1a.
Changes in these inflammatory markers will assist in understanding how the consumption of yogurt containing BB-12 affects the inflammatory status of obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in number and activation of leukocytes
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in quantity and activation of T cells, B cells, dendritic cells, natural killer cells, and monocytes measured by flow cytometry before and after each period.
Changes in the number and activation of leukocytes will assist in understanding the impacts of the consumption of yogurt containing BB-12 on leukocytes in obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in gut permeability
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in gut permeability, assessed using a lactulose/mannitol gut permeability assay, from baseline.
Changes in gut permeability will assist in understanding the impacts of the consumption of yogurt containing BB-12 on gut health and permeability in obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in gut microbiota populations
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in gut microbiota populations, assessed with 16s ribosomal ribonucleic acid (rRNA), compared to baseline.
Changes in microbial populations will assist in understanding the impacts of the consumption of yogurt containing BB-12 on commensal gut microbiota in obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in metabolism of gut microbiota populations
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in the metabolism of gut microbiota populations, measured via transcriptomics, compared to baseline.
Changes in the transcriptome of the commensal microbiota will assist in understanding the impacts of the consumption of yogurt containing BB-12 on the metabolism of commensal gut microbiota in obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in trimethylamine N-oxide (TMAO) in serum
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in TMAO in serum measured using liquid chromatography with tandem mass spectrometry (LC-MS) compared to baseline.
Changes in TMAO, which is associated with gut microbiota, will assist in understanding the mechanism that connects changes in the commensal microbiota in the gut to inflammatory outcomes in obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in serum metabolomic profile
Time Frame: At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Change in serum metabolomic profile, assessed in hydrophilic and hydrophobic fractions, compared to baseline.
Changes in the metabolomic profile will assist in understanding the underlying mechanisms that connect consumption of yogurt containing BB-12 to changes in inflammatory status in obese individuals.
|
At baseline before intervention period 1, at endpoint of intervention period 1 (week 4), at baseline before intervention period 2 (week 8), at endpoint after intervention period 2 (week 12)
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
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
- Cani PD, Bibiloni R, Knauf C, Waget A, Neyrinck AM, Delzenne NM, Burcelin R. Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes. 2008 Jun;57(6):1470-81. doi: 10.2337/db07-1403. Epub 2008 Feb 27.
- Meng H, Ba Z, Lee Y, Peng J, Lin J, Fleming JA, Furumoto EJ, Roberts RF, Kris-Etherton PM, Rogers CJ. Consumption of Bifidobacterium animalis subsp. lactis BB-12 in yogurt reduced expression of TLR-2 on peripheral blood-derived monocytes and pro-inflammatory cytokine secretion in young adults. Eur J Nutr. 2017 Mar;56(2):649-661. doi: 10.1007/s00394-015-1109-5. Epub 2015 Nov 30.
- Aggarwal BB. Targeting inflammation-induced obesity and metabolic diseases by curcumin and other nutraceuticals. Annu Rev Nutr. 2010 Aug 21;30:173-99. doi: 10.1146/annurev.nutr.012809.104755.
- Leber B, Tripolt NJ, Blattl D, Eder M, Wascher TC, Pieber TR, Stauber R, Sourij H, Oettl K, Stadlbauer V. The influence of probiotic supplementation on gut permeability in patients with metabolic syndrome: an open label, randomized pilot study. Eur J Clin Nutr. 2012 Oct;66(10):1110-5. doi: 10.1038/ejcn.2012.103. Epub 2012 Aug 8.
- Sugahara H, Odamaki T, Fukuda S, Kato T, Xiao JZ, Abe F, Kikuchi J, Ohno H. Probiotic Bifidobacterium longum alters gut luminal metabolism through modification of the gut microbial community. Sci Rep. 2015 Aug 28;5:13548. doi: 10.1038/srep13548.
- Rizzardini G, Eskesen D, Calder PC, Capetti A, Jespersen L, Clerici M. Evaluation of the immune benefits of two probiotic strains Bifidobacterium animalis ssp. lactis, BB-12(R) and Lactobacillus paracasei ssp. paracasei, L. casei 431(R) in an influenza vaccination model: a randomised, double-blind, placebo-controlled study. Br J Nutr. 2012 Mar;107(6):876-84. doi: 10.1017/S000711451100420X. Epub 2011 Sep 7.
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)
June 29, 2018
Primary Completion (Anticipated)
October 1, 2022
Study Completion (Anticipated)
December 1, 2022
Study Registration Dates
First Submitted
December 13, 2017
First Submitted That Met QC Criteria
January 31, 2018
First Posted (Actual)
February 1, 2018
Study Record Updates
Last Update Posted (Actual)
December 14, 2021
Last Update Submitted That Met QC Criteria
December 12, 2021
Last Verified
December 1, 2021
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- STUDY0006843
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Yes
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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