Antibiotic-associated Diarrhea
Conditions
Brief summary
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.
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.
Interventions
Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
Bifidobacterium animalis subsp. lactis BB-12-supplemented yogurt
Yogurt without Bifidobacterium animalis subsp. lactis BB-12 (BB-12)
Sponsors
Study design
Eligibility
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | day 0 (post run-in), 7, 14, 21, 30 | Level of fecal short-chain fatty acid acetate (SCFA) after administration of amoxicillin clavulanate |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Level of Fecal SCFA Propionate | day 0 (post run-in), 7, 14, 21, 30 | Level of fecal short-chain fatty acid propionate after administration of amoxicillin clavulanate |
| Level of Fecal SCFA Butyrate | day 0 (post run-in), 7, 14, 21, 30 | Level of fecal short-chain fatty acid butyrate (μM) after administration of amoxicillin clavulanate |
Other
| Measure | Time frame | Description |
|---|---|---|
| Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | 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. |
| Change in Diarrhea/Stool Frequency | day 7, 14, 21, 30 | Change in diarrhea/stool frequency from baseline |
| Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | 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. |
| Bray-Curtis Dissimilarity | day 0, 7, 14, 21, 30 | Community divergence over time with respect to the baseline sample (post run-in, day 0) |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| 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: Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
Control: Yogurt without Bifidobacterium animalis subsp. lactis BB-12 (BB-12) | 20 |
| 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: Amoxicillin-Clavulanate 875 Mg-125 Mg Oral Tablet
BB-12: Bifidobacterium animalis subsp. lactis BB-12-supplemented yogurt | 42 |
| Not Randomized Withdrawals prior to randomization | 4 |
| Total | 66 |
Withdrawals & dropouts
| Period | Reason | FG000 | FG001 | FG002 |
|---|---|---|---|---|
| Overall Study | Withdrawal by Subject | 2 | 4 | 4 |
Baseline characteristics
| Characteristic | BB-12 | Total | Not Randomized | Control |
|---|---|---|---|---|
| Age, Continuous | 29.6 years STANDARD_DEVIATION 10.3 | 29.7 years STANDARD_DEVIATION 10.6 | 31.8 years STANDARD_DEVIATION 21.6 | 29.4 years STANDARD_DEVIATION 8.1 |
| Annual gross total income $100,000-$150,999 | 2 Participants | 4 Participants | 0 Participants | 2 Participants |
| Annual gross total income $150,000-$200,000 | 1 Participants | 2 Participants | 0 Participants | 1 Participants |
| Annual gross total income $15,000-$29,999 | 3 Participants | 4 Participants | 0 Participants | 1 Participants |
| Annual gross total income $30,000-$49,999 | 5 Participants | 6 Participants | 0 Participants | 1 Participants |
| Annual gross total income $50,000-$74,999 | 5 Participants | 6 Participants | 0 Participants | 1 Participants |
| Annual gross total income $75,000-$99,999 | 6 Participants | 11 Participants | 0 Participants | 5 Participants |
| Annual gross total income Less than $15,000 | 6 Participants | 7 Participants | 0 Participants | 1 Participants |
| Annual gross total income More than $200,000 | 6 Participants | 11 Participants | 3 Participants | 2 Participants |
| Annual gross total income Prefer not to answer | 3 Participants | 3 Participants | 0 Participants | 0 Participants |
| Annual gross total income Unknown/Not Reported | 5 Participants | 12 Participants | 1 Participants | 6 Participants |
| Ethnicity (NIH/OMB) Hispanic or Latino | 2 Participants | 4 Participants | 0 Participants | 2 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 36 Participants | 58 Participants | 4 Participants | 18 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 4 Participants | 4 Participants | 0 Participants | 0 Participants |
| Health insurance status No | 1 Participants | 1 Participants | 0 Participants | 0 Participants |
| Health insurance status Yes | 41 Participants | 65 Participants | 4 Participants | 20 Participants |
| Household smoking No | 40 Participants | 62 Participants | 4 Participants | 18 Participants |
| Household smoking Yes | 2 Participants | 4 Participants | 0 Participants | 2 Participants |
| Marital status Divorced | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Marital status Living with a partner | 5 Participants | 7 Participants | 0 Participants | 2 Participants |
| Marital status Married | 10 Participants | 14 Participants | 0 Participants | 4 Participants |
| Marital status Separated | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Marital status Single | 26 Participants | 43 Participants | 3 Participants | 14 Participants |
| Marital status Widowed | 1 Participants | 2 Participants | 1 Participants | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 6 Participants | 12 Participants | 3 Participants | 3 Participants |
| Race (NIH/OMB) Black or African American | 8 Participants | 13 Participants | 0 Participants | 5 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 1 Participants | 0 Participants | 1 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 28 Participants | 40 Participants | 1 Participants | 11 Participants |
| Sex/Gender, Customized Female | 23 Participants | 35 Participants | 1 Participants | 11 Participants |
| Sex/Gender, Customized Male | 18 Participants | 30 Participants | 3 Participants | 9 Participants |
| Sex/Gender, Customized Not reported | 1 Participants | 1 Participants | 0 Participants | 0 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 20 | 0 / 42 |
| other Total, other adverse events | 15 / 18 | 25 / 38 |
| serious Total, serious adverse events | 0 / 20 | 0 / 42 |
Outcome results
Level of Fecal Short-chain Fatty Acid (SCFA) Acetate
Level of fecal short-chain fatty acid acetate (SCFA) after administration of amoxicillin clavulanate
Time frame: day 0 (post run-in), 7, 14, 21, 30
Population: Number of samples received
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Control | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 7 | 42.3 micromolar (μM) | Standard Deviation 17.5 |
| Control | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 21 | 43.8 micromolar (μM) | Standard Deviation 17.6 |
| Control | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 14 | 36.8 micromolar (μM) | Standard Deviation 11.1 |
| Control | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 30 | 39.8 micromolar (μM) | Standard Deviation 14.3 |
| Control | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 0 | 53.1 micromolar (μM) | Standard Deviation 18 |
| BB-12 | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 30 | 44.5 micromolar (μM) | Standard Deviation 14.1 |
| BB-12 | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 0 | 45.2 micromolar (μM) | Standard Deviation 20.3 |
| BB-12 | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 7 | 38.1 micromolar (μM) | Standard Deviation 17.6 |
| BB-12 | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 14 | 40.8 micromolar (μM) | Standard Deviation 16.1 |
| BB-12 | Level of Fecal Short-chain Fatty Acid (SCFA) Acetate | Day 21 | 50.5 micromolar (μM) | Standard Deviation 20.9 |
Level of Fecal SCFA Butyrate
Level of fecal short-chain fatty acid butyrate (μM) after administration of amoxicillin clavulanate
Time frame: day 0 (post run-in), 7, 14, 21, 30
Population: Number of samples received
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Control | Level of Fecal SCFA Butyrate | Day 7 | 9.0 μM | Standard Deviation 5.3 |
| Control | Level of Fecal SCFA Butyrate | Day 21 | 11.6 μM | Standard Deviation 9.2 |
| Control | Level of Fecal SCFA Butyrate | Day 14 | 7.4 μM | Standard Deviation 4.3 |
| Control | Level of Fecal SCFA Butyrate | Day 30 | 8.3 μM | Standard Deviation 5.3 |
| Control | Level of Fecal SCFA Butyrate | Day 0 | 12.7 μM | Standard Deviation 6.2 |
| BB-12 | Level of Fecal SCFA Butyrate | Day 30 | 9.9 μM | Standard Deviation 4 |
| BB-12 | Level of Fecal SCFA Butyrate | Day 0 | 12.7 μM | Standard Deviation 8.4 |
| BB-12 | Level of Fecal SCFA Butyrate | Day 7 | 8.3 μM | Standard Deviation 5.7 |
| BB-12 | Level of Fecal SCFA Butyrate | Day 14 | 8.9 μM | Standard Deviation 6.1 |
| BB-12 | Level of Fecal SCFA Butyrate | Day 21 | 11.9 μM | Standard Deviation 7.8 |
Level of Fecal SCFA Propionate
Level of fecal short-chain fatty acid propionate after administration of amoxicillin clavulanate
Time frame: day 0 (post run-in), 7, 14, 21, 30
Population: Number of samples received
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Control | Level of Fecal SCFA Propionate | Day 7 | 14.3 μM | Standard Deviation 6.7 |
| Control | Level of Fecal SCFA Propionate | Day 14 | 11.8 μM | Standard Deviation 6.9 |
| Control | Level of Fecal SCFA Propionate | Day 21 | 11.0 μM | Standard Deviation 3.5 |
| Control | Level of Fecal SCFA Propionate | Day 30 | 11.4 μM | Standard Deviation 7.3 |
| Control | Level of Fecal SCFA Propionate | Day 0 | 14.3 μM | Standard Deviation 9.1 |
| BB-12 | Level of Fecal SCFA Propionate | Day 0 | 13.0 μM | Standard Deviation 7.2 |
| BB-12 | Level of Fecal SCFA Propionate | Day 30 | 11.5 μM | Standard Deviation 5.7 |
| BB-12 | Level of Fecal SCFA Propionate | Day 14 | 12.0 μM | Standard Deviation 6.1 |
| BB-12 | Level of Fecal SCFA Propionate | Day 7 | 12.5 μM | Standard Deviation 6 |
| BB-12 | Level of Fecal SCFA Propionate | Day 21 | 14.8 μM | Standard Deviation 7.8 |
Bray-Curtis Dissimilarity
Community divergence over time with respect to the baseline sample (post run-in, day 0)
Time frame: day 0, 7, 14, 21, 30
Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline
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.
Time frame: day 0 (post run-in), 7, 14, 21, 30
Population: Number of samples received
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Control | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 7 | 3.528 Shannon Diversity Index | Standard Deviation 0.396 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 21 | 3.785 Shannon Diversity Index | Standard Deviation 0.295 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 14 | 3.496 Shannon Diversity Index | Standard Deviation 0.486 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 30 | 3.486 Shannon Diversity Index | Standard Deviation 0.444 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 0 Post run-in | 3.845 Shannon Diversity Index | Standard Deviation 0.29 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 30 | 3.712 Shannon Diversity Index | Standard Deviation 0.391 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 0 Post run-in | 3.718 Shannon Diversity Index | Standard Deviation 0.261 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 7 | 3.606 Shannon Diversity Index | Standard Deviation 0.494 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 14 | 3.666 Shannon Diversity Index | Standard Deviation 0.304 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Post run-in Baseline | Day 21 | 3.727 Shannon Diversity Index | Standard Deviation 0.278 |
Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline
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.
Time frame: day 0 (pre run-in), 7, 14, 21, 30
Population: Number of samples received
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Control | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 7 | 3.380 Shannon Diversity Index | Standard Deviation 0.364 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 21 | 3.709 Shannon Diversity Index | Standard Deviation 0.322 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 14 | 3.419 Shannon Diversity Index | Standard Deviation 0.465 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 30 | 3.395 Shannon Diversity Index | Standard Deviation 0.409 |
| Control | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 0 Pre run-in | 3.711 Shannon Diversity Index | Standard Deviation 0.349 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 30 | 3.684 Shannon Diversity Index | Standard Deviation 0.397 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 0 Pre run-in | 3.774 Shannon Diversity Index | Standard Deviation 0.302 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 7 | 3.567 Shannon Diversity Index | Standard Deviation 0.479 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 14 | 3.632 Shannon Diversity Index | Standard Deviation 0.307 |
| BB-12 | Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baseline | Day 21 | 3.708 Shannon Diversity Index | Standard Deviation 0.308 |
Change in Diarrhea/Stool Frequency
Change in diarrhea/stool frequency from baseline
Time frame: day 7, 14, 21, 30