Mechanisms of Preventing Antibiotic-Associated Diarrhea and the Role for Probiotics (YOBIOTIC)

February 15, 2023 updated by: Daniel Merenstein, Georgetown University

Exploratory Pilot Studies to Demonstrate Mechanisms of Preventing Antibiotic-Associated Diarrhea and the Role for Probiotics

The focus of the study is to better understand the mechanisms causing antibiotic-associated diarrhea (AAD) and how probiotics may prevent some of the iatrogenic effects of antibiotic medications. One of the most common indications for probiotics is for prevention of antibiotic-associated diarrhea. Clinically, different probiotic strains have demonstrated the ability to prevent AAD; however, the mechanism of action behind this effect has not been elucidated. Data from several studies suggest that antibiotic-induced disruption of commensal bacteria in the colon results in a significant (up to 50%) reduction in short chain fatty acid (SCFA) production and a concomitant reduction in Na-dependent fluid absorption resulting in AAD. Probiotics have been shown to ameliorate a variety of gastrointestinal disease states and thus, the study investigators hypothesize that administration of a probiotic yogurt will protect against the development of AAD.

Study Overview

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

Interventional

Enrollment (Actual)

66

Phase

  • Early 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 Locations

    • District of Columbia
      • Washington, District of Columbia, United States, 20007
        • Georgetown University Department of Family Medicine

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

18 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. Has the ability to read, speak, and write in English
  2. Has refrigerator (for proper storage of the study yogurt)
  3. Has reliable telephone access
  4. Is between ages of 18-65 years
  5. Agree to refrain from eating yogurts, yogurt drinks, and other foods specified in the provided What Not to Eat list
  6. Agree to collect stool samples and participate in follow-up calls as specified

Exclusion Criteria:

  1. Diabetes or asthma that requires medication
  2. Allergy to strawberry
  3. Active diarrhea (three or more loose stools per day for two consecutive days)
  4. Any gastrointestinal (or digestive tract) medications, i.e. medicines for irritable bowel syndrome, gastroesophageal (acid) reflux disease, inflammatory bowel disease, etc.
  5. History of heart disease, including valvulopathies or cardiac surgery, any implantable device or prosthetic
  6. History of gastrointestinal surgery or disease
  7. Lactose intolerance that prevents participant from eating yogurt
  8. Allergy to milk-protein
  9. Allergy to any component of the product or the yogurt vehicle
  10. Allergy to penicillin or cephalosporin class antibiotics
  11. Allergy to any of the following medications: a) Penicillin; b) Erythromycin; c) Tetracycline; d) Trimethoprim; e) Ciprofloxacin
  12. Women who are breastfeeding, pregnant, or planning to become pregnant during the study

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: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Triple

Arms and Interventions

Participant Group / Arm
Intervention / 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:
  • Augmentin
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:
  • Augmentin
Bifidobacterium animalis subsp. lactis BB-12-supplemented yogurt

What is the study measuring?

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

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

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

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Claire Fraser, PhD, University of Maryland, Baltimore

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.

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)

July 23, 2019

Primary Completion (Actual)

January 8, 2020

Study Completion (Actual)

January 8, 2020

Study Registration Dates

First Submitted

November 18, 2018

First Submitted That Met QC Criteria

November 26, 2018

First Posted (Actual)

November 28, 2018

Study Record Updates

Last Update Posted (Actual)

February 17, 2023

Last Update Submitted That Met QC Criteria

February 15, 2023

Last Verified

February 1, 2023

More Information

Terms related to this study

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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