Mechanisms of Preventing Antibiotic-Associated Diarrhea and the Role for Probiotics (YOBIOTIC)
Exploratory Pilot Studies to Demonstrate Mechanisms of Preventing Antibiotic-Associated Diarrhea and the Role for Probiotics
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Probiotics are live microorganisms that, when administered in adequate amounts, confer a health benefit on the host. One of the most common indications for probiotic treatment is the prevention of antibiotic-associated diarrhea (AAD). Unfortunately, the efficacy of many probiotic products used for AAD is not supported by rigorous independent research, and non-evidence-based clinical usage is common. Data from several studies are consistent with the notion that antibiotic-induced disruption of commensal bacteria in the colon results in a significant reduction of short chain fatty acid (SCFA) production and a concomitant reduction in Na-dependent fluid absorption resulting in AAD. The probiotic strain being studied, Bifidobacterium animalis subsp. lactis BB-12 (BB-12), has been shown to ameliorate a variety of gastrointestinal disease states and is known to produce acetate at concentrations up to 50 mM in vitro. Thus, the investigators hypothesize that administration of BB-12 at the same time as antibiotic consumption will protect against the development of AAD through its ability to generate acetate directly, and also increase other SCFAs through cross-feeding of certain bacteria in the Firmicutes phylum such Clostridium, Eubacterium and Roseburia, which use acetate to produce butyrate.
The primary aim of the R61 phase (N=60) is to determine the ability of BB-12 to impact antibiotic-induced reduction in SCFA as reflected by the levels of acetate, the most abundant primary colonic SCFA. The primary hypothesis is that antibiotics will result in a reduction in fecal SCFA, but BB-12 supplementation will protect against antibiotic-induced SCFA reduction and/or be associated with a more rapid return to baseline SCFA levels as compared to controls. Antibiotics also result in a decrease in total microbial counts and diversity in the gut microbiota, disrupting the homeostasis of the gut ecosystem and allowing colonization by pathogens. The secondary aim will be to determine the ability of BB-12 to impact antibiotic-induced disruption of the gut microbiota with 16S (16 Svedberg) ribosomal ribonucleic acid (rRNA) profiling. The secondary hypothesis is that antibiotics will result in a decrease in the overall number and diversity of bacterial species present in the fecal microbiota, and further BB-12 supplementation will protect against antibiotic-induced shifts in the microbiota and/or will be associated with a more rapid return to a baseline microbiota composition as compared to controls. The long-term goal is to determine the impact of BB-12 on a variety of gastrointestinal disease states and ages, through high-level independent research. This mechanism elucidation is important for directing future translational and effectiveness research.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Early Phase 1
Contacts and Locations
Study Locations
-
-
District of Columbia
-
Washington, District of Columbia, United States, 20007
- Georgetown University Department of Family Medicine
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Has the ability to read, speak, and write in English
- Has refrigerator (for proper storage of the study yogurt)
- Has reliable telephone access
- Is between ages of 18-65 years
- Agree to refrain from eating yogurts, yogurt drinks, and other foods specified in the provided What Not to Eat list
- Agree to collect stool samples and participate in follow-up calls as specified
Exclusion Criteria:
- Diabetes or asthma that requires medication
- Allergy to strawberry
- Active diarrhea (three or more loose stools per day for two consecutive days)
- Any gastrointestinal (or digestive tract) medications, i.e. medicines for irritable bowel syndrome, gastroesophageal (acid) reflux disease, inflammatory bowel disease, etc.
- History of heart disease, including valvulopathies or cardiac surgery, any implantable device or prosthetic
- History of gastrointestinal surgery or disease
- Lactose intolerance that prevents participant from eating yogurt
- Allergy to milk-protein
- Allergy to any component of the product or the yogurt vehicle
- Allergy to penicillin or cephalosporin class antibiotics
- Allergy to any of the following medications: a) Penicillin; b) Erythromycin; c) Tetracycline; d) Trimethoprim; e) Ciprofloxacin
- Women who are breastfeeding, pregnant, or planning to become pregnant during the study
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Placebo Comparator: Control
Yogurt without Bifidobacterium animalis subsp.
lactis BB-12 (BB-12) and Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
|
Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
Other Names:
Yogurt without Bifidobacterium animalis subsp.
lactis BB-12 (BB-12)
|
|
Experimental: BB-12
Bifidobacterium animalis subsp.
lactis BB-12 (BB-12)-supplemented yogurt and Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
|
Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
Other Names:
Bifidobacterium animalis subsp.
lactis BB-12-supplemented yogurt
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Level of Fecal Short-chain Fatty Acid (SCFA) Acetate
Time Frame: day 0 (post run-in), 7, 14, 21, 30
|
Level of fecal short-chain fatty acid acetate (SCFA) after administration of amoxicillin clavulanate
|
day 0 (post run-in), 7, 14, 21, 30
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Level of Fecal SCFA Propionate
Time Frame: day 0 (post run-in), 7, 14, 21, 30
|
Level of fecal short-chain fatty acid propionate after administration of amoxicillin clavulanate
|
day 0 (post run-in), 7, 14, 21, 30
|
|
Level of Fecal SCFA Butyrate
Time Frame: day 0 (post run-in), 7, 14, 21, 30
|
Level of fecal short-chain fatty acid butyrate (μM) after administration of amoxicillin clavulanate
|
day 0 (post run-in), 7, 14, 21, 30
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline
Time Frame: day 0 (pre run-in), 7, 14, 21, 30
|
The Shannon diversity metric is a measure of community diversity and takes into account species richness (number of distinct taxa) and the relative abundance of each taxon.
The Shannon diversity index was calculated for samples at each time point from subjects receiving control or BB-12 yogurt.
The first of two baseline samples was collected from each subject at the time of enrollment (pre run-in) before a 30-day run-in period in which the consumption of dietary probiotics was stopped.
A higher index indicates more diversity and a lower index indicates less diversity.
|
day 0 (pre run-in), 7, 14, 21, 30
|
|
Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline
Time Frame: day 0 (post run-in), 7, 14, 21, 30
|
The Shannon diversity metric is a measure of community diversity and takes into account species richness (number of distinct taxa) and the relative abundance of each taxon.
The Shannon diversity index was calculated for samples at each time point from subjects receiving control or BB-12 yogurt.
The second baseline sample was collected from each subject after a 30-day run-in period in which the consumption of dietary probiotics was stopped (post run-in).
A higher index indicates more diversity and a lower index indicates less diversity.
|
day 0 (post run-in), 7, 14, 21, 30
|
|
Bray-Curtis Dissimilarity
Time Frame: day 0, 7, 14, 21, 30
|
Community divergence over time with respect to the baseline sample (post run-in, day 0)
|
day 0, 7, 14, 21, 30
|
|
Change in Diarrhea/Stool Frequency
Time Frame: day 7, 14, 21, 30
|
Change in diarrhea/stool frequency from baseline
|
day 7, 14, 21, 30
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Claire Fraser, PhD, University of Maryland, Baltimore
Publications and helpful links
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 (Actual)
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
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2018-0736
- 1R61AT009622-01A1 (U.S. NIH Grant/Contract)
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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