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

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

Status
Completed
Phases
Early Phase 1
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03755765
Acronym
YOBIOTIC
Enrollment
66
Registered
2018-11-28
Start date
2019-07-23
Completion date
2020-01-08
Last updated
2023-02-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Antibiotic-associated Diarrhea

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

BIOLOGICALBB-12

Bifidobacterium animalis subsp. lactis BB-12-supplemented yogurt

OTHERControl

Yogurt without Bifidobacterium animalis subsp. lactis BB-12 (BB-12)

Sponsors

National Center for Complementary and Integrative Health (NCCIH)
CollaboratorNIH
University of Maryland, Baltimore
CollaboratorOTHER
Georgetown University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

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

MeasureTime frameDescription
Level of Fecal Short-chain Fatty Acid (SCFA) Acetateday 0 (post run-in), 7, 14, 21, 30Level of fecal short-chain fatty acid acetate (SCFA) after administration of amoxicillin clavulanate

Secondary

MeasureTime frameDescription
Level of Fecal SCFA Propionateday 0 (post run-in), 7, 14, 21, 30Level of fecal short-chain fatty acid propionate after administration of amoxicillin clavulanate
Level of Fecal SCFA Butyrateday 0 (post run-in), 7, 14, 21, 30Level of fecal short-chain fatty acid butyrate (μM) after administration of amoxicillin clavulanate

Other

MeasureTime frameDescription
Change in Community Diversity (Shannon Diversity Index) From Pre run-in Baselineday 0 (pre run-in), 7, 14, 21, 30The 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 Frequencyday 7, 14, 21, 30Change in diarrhea/stool frequency from baseline
Change in Community Diversity (Shannon Diversity Index) From Post run-in Baselineday 0 (post run-in), 7, 14, 21, 30The 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 Dissimilarityday 0, 7, 14, 21, 30Community divergence over time with respect to the baseline sample (post run-in, day 0)

Countries

United States

Participant flow

Participants by arm

ArmCount
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
Total66

Withdrawals & dropouts

PeriodReasonFG000FG001FG002
Overall StudyWithdrawal by Subject244

Baseline characteristics

CharacteristicBB-12TotalNot RandomizedControl
Age, Continuous29.6 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 Participants4 Participants0 Participants2 Participants
Annual gross total income
$150,000-$200,000
1 Participants2 Participants0 Participants1 Participants
Annual gross total income
$15,000-$29,999
3 Participants4 Participants0 Participants1 Participants
Annual gross total income
$30,000-$49,999
5 Participants6 Participants0 Participants1 Participants
Annual gross total income
$50,000-$74,999
5 Participants6 Participants0 Participants1 Participants
Annual gross total income
$75,000-$99,999
6 Participants11 Participants0 Participants5 Participants
Annual gross total income
Less than $15,000
6 Participants7 Participants0 Participants1 Participants
Annual gross total income
More than $200,000
6 Participants11 Participants3 Participants2 Participants
Annual gross total income
Prefer not to answer
3 Participants3 Participants0 Participants0 Participants
Annual gross total income
Unknown/Not Reported
5 Participants12 Participants1 Participants6 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
2 Participants4 Participants0 Participants2 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
36 Participants58 Participants4 Participants18 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
4 Participants4 Participants0 Participants0 Participants
Health insurance status
No
1 Participants1 Participants0 Participants0 Participants
Health insurance status
Yes
41 Participants65 Participants4 Participants20 Participants
Household smoking
No
40 Participants62 Participants4 Participants18 Participants
Household smoking
Yes
2 Participants4 Participants0 Participants2 Participants
Marital status
Divorced
0 Participants0 Participants0 Participants0 Participants
Marital status
Living with a partner
5 Participants7 Participants0 Participants2 Participants
Marital status
Married
10 Participants14 Participants0 Participants4 Participants
Marital status
Separated
0 Participants0 Participants0 Participants0 Participants
Marital status
Single
26 Participants43 Participants3 Participants14 Participants
Marital status
Widowed
1 Participants2 Participants1 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
6 Participants12 Participants3 Participants3 Participants
Race (NIH/OMB)
Black or African American
8 Participants13 Participants0 Participants5 Participants
Race (NIH/OMB)
More than one race
0 Participants1 Participants0 Participants1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
28 Participants40 Participants1 Participants11 Participants
Sex/Gender, Customized
Female
23 Participants35 Participants1 Participants11 Participants
Sex/Gender, Customized
Male
18 Participants30 Participants3 Participants9 Participants
Sex/Gender, Customized
Not reported
1 Participants1 Participants0 Participants0 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 200 / 42
other
Total, other adverse events
15 / 1825 / 38
serious
Total, serious adverse events
0 / 200 / 42

Outcome results

Primary

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

ArmMeasureGroupValue (MEAN)Dispersion
ControlLevel of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 742.3 micromolar (μM)Standard Deviation 17.5
ControlLevel of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 2143.8 micromolar (μM)Standard Deviation 17.6
ControlLevel of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 1436.8 micromolar (μM)Standard Deviation 11.1
ControlLevel of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 3039.8 micromolar (μM)Standard Deviation 14.3
ControlLevel of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 053.1 micromolar (μM)Standard Deviation 18
BB-12Level of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 3044.5 micromolar (μM)Standard Deviation 14.1
BB-12Level of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 045.2 micromolar (μM)Standard Deviation 20.3
BB-12Level of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 738.1 micromolar (μM)Standard Deviation 17.6
BB-12Level of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 1440.8 micromolar (μM)Standard Deviation 16.1
BB-12Level of Fecal Short-chain Fatty Acid (SCFA) AcetateDay 2150.5 micromolar (μM)Standard Deviation 20.9
Secondary

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

ArmMeasureGroupValue (MEAN)Dispersion
ControlLevel of Fecal SCFA ButyrateDay 79.0 μMStandard Deviation 5.3
ControlLevel of Fecal SCFA ButyrateDay 2111.6 μMStandard Deviation 9.2
ControlLevel of Fecal SCFA ButyrateDay 147.4 μMStandard Deviation 4.3
ControlLevel of Fecal SCFA ButyrateDay 308.3 μMStandard Deviation 5.3
ControlLevel of Fecal SCFA ButyrateDay 012.7 μMStandard Deviation 6.2
BB-12Level of Fecal SCFA ButyrateDay 309.9 μMStandard Deviation 4
BB-12Level of Fecal SCFA ButyrateDay 012.7 μMStandard Deviation 8.4
BB-12Level of Fecal SCFA ButyrateDay 78.3 μMStandard Deviation 5.7
BB-12Level of Fecal SCFA ButyrateDay 148.9 μMStandard Deviation 6.1
BB-12Level of Fecal SCFA ButyrateDay 2111.9 μMStandard Deviation 7.8
Secondary

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

ArmMeasureGroupValue (MEAN)Dispersion
ControlLevel of Fecal SCFA PropionateDay 714.3 μMStandard Deviation 6.7
ControlLevel of Fecal SCFA PropionateDay 1411.8 μMStandard Deviation 6.9
ControlLevel of Fecal SCFA PropionateDay 2111.0 μMStandard Deviation 3.5
ControlLevel of Fecal SCFA PropionateDay 3011.4 μMStandard Deviation 7.3
ControlLevel of Fecal SCFA PropionateDay 014.3 μMStandard Deviation 9.1
BB-12Level of Fecal SCFA PropionateDay 013.0 μMStandard Deviation 7.2
BB-12Level of Fecal SCFA PropionateDay 3011.5 μMStandard Deviation 5.7
BB-12Level of Fecal SCFA PropionateDay 1412.0 μMStandard Deviation 6.1
BB-12Level of Fecal SCFA PropionateDay 712.5 μMStandard Deviation 6
BB-12Level of Fecal SCFA PropionateDay 2114.8 μMStandard Deviation 7.8
Other Pre-specified

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

Other Pre-specified

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

ArmMeasureGroupValue (MEAN)Dispersion
ControlChange in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 73.528 Shannon Diversity IndexStandard Deviation 0.396
ControlChange in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 213.785 Shannon Diversity IndexStandard Deviation 0.295
ControlChange in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 143.496 Shannon Diversity IndexStandard Deviation 0.486
ControlChange in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 303.486 Shannon Diversity IndexStandard Deviation 0.444
ControlChange in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 0 Post run-in3.845 Shannon Diversity IndexStandard Deviation 0.29
BB-12Change in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 303.712 Shannon Diversity IndexStandard Deviation 0.391
BB-12Change in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 0 Post run-in3.718 Shannon Diversity IndexStandard Deviation 0.261
BB-12Change in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 73.606 Shannon Diversity IndexStandard Deviation 0.494
BB-12Change in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 143.666 Shannon Diversity IndexStandard Deviation 0.304
BB-12Change in Community Diversity (Shannon Diversity Index) From Post run-in BaselineDay 213.727 Shannon Diversity IndexStandard Deviation 0.278
Other Pre-specified

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

ArmMeasureGroupValue (MEAN)Dispersion
ControlChange in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 73.380 Shannon Diversity IndexStandard Deviation 0.364
ControlChange in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 213.709 Shannon Diversity IndexStandard Deviation 0.322
ControlChange in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 143.419 Shannon Diversity IndexStandard Deviation 0.465
ControlChange in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 303.395 Shannon Diversity IndexStandard Deviation 0.409
ControlChange in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 0 Pre run-in3.711 Shannon Diversity IndexStandard Deviation 0.349
BB-12Change in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 303.684 Shannon Diversity IndexStandard Deviation 0.397
BB-12Change in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 0 Pre run-in3.774 Shannon Diversity IndexStandard Deviation 0.302
BB-12Change in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 73.567 Shannon Diversity IndexStandard Deviation 0.479
BB-12Change in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 143.632 Shannon Diversity IndexStandard Deviation 0.307
BB-12Change in Community Diversity (Shannon Diversity Index) From Pre run-in BaselineDay 213.708 Shannon Diversity IndexStandard Deviation 0.308
Other Pre-specified

Change in Diarrhea/Stool Frequency

Change in diarrhea/stool frequency from baseline

Time frame: day 7, 14, 21, 30

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026