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Mechanisms of Probiotics and Antibiotic-Associated Diarrhea

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
NCT04414722
Acronym
OURBIOTIC
Enrollment
118
Registered
2020-06-04
Start date
2021-01-01
Completion date
2023-05-01
Last updated
2025-02-25

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 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, and assess temporal intervals of probiotic administration. 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. We hypothesize that concurrent administration of the probiotic and antibiotic is not necessary for the probiotic impact on SCFA. The secondary aim will be to determine the ability of BB-12 to impact antibiotic-induced disruption of the gut microbiota with 16S ribosomal ribonucleic acid (rRNA) profiling, and assess temporal intervals of probiotic administration. 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. We hypothesize that concurrent administration of the probiotic and antibiotic is not necessary for the probiotic effect on the composition of the gut microbiota. The tertiary aim is to longitudinally characterize the gut microbiota with high-throughput metatranscriptomics in order to generate complementary information on the impact of antibiotics plus and minus BB-12 on overall microbiome function. We hypothesize that acetate produced by BB-12 in situ will cross-feed butyrate producers in the Firmicutes phylum resulting in an up-regulation of butyrate biosynthetic pathways. 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 (BB-12)-supplemented yogurt

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
Penn State University
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

* Has the ability to read, speak, and write in English * Has a 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 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 * Was a participant in the YOBIOTIC study

Design outcomes

Primary

MeasureTime frameDescription
Change From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)day 7Change from baseline levels of fecal short-chain fatty acid (with a particular focus on acetate)

Secondary

MeasureTime frameDescription
Percentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiotaday 7Percentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota (based on the Shannon Diversity Index, percentage of change): This outcome measures the percentage change in baseline diversity of bacterial species in the fecal microbiota, using the Shannon Diversity Index. Percent change within each treatment group was calculated comparing the Shannon diversity index at each follow-up day (i.e., day 7) to day 0 (baseline). The Shannon Diversity Index is a commonly used method to quantify microbial diversity, incorporating both the richness (the number of different species) and evenness (the distribution of species) within a sample. A positive percentage change reflects an increase in microbial diversity, while a negative percentage change indicates a decrease in microbial diversity compared to the microbial diversity at baseline.

Other

MeasureTime frameDescription
Change From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)day 14Change from baseline levels of fecal short-chain fatty acid (with a particular focus on acetate)

Countries

United States

Participant flow

Pre-assignment details

After enrollment, participants complete a 30-day run-in during which they refrain from probiotics and antibiotics. Participants who start/experience an exclusionary medication or nontransient health condition during run-in are withdrawn. Participants who take antibiotics during the run-in will delay the initiation of interventions until a full 30-day run-in cycle is complete. Participants who take non-study probiotics will document use and may continue with group assignment.

Participants by arm

ArmCount
Concurrent BB-12 Yogurt and Amoxicillin-clavulanate
Bifidobacterium animalis subsp. lactis BB-12-supplemented yogurt and amoxicillin-clavulanate 875 mg-125 mg oral tablet, taken at the same time
26
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanate
Bifidobacterium animalis subsp. lactis BB-12-supplemented yogurt taken 4 hours after amoxicillin-clavulanate 875 mg-125 mg oral tablet
27
Concurrent Control Yogurt and Amoxicillin-clavulanate
Control yogurt without Bifidobacterium animalis subsp. lactis BB-12 (BB-12) and amoxicillin-clavulanate 875 mg-125 mg oral tablet, taken at the same time
26
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanate
Control yogurt without Bifidobacterium animalis subsp. lactis BB-12 (BB-12) taken 4 hours after amoxicillin-clavulanate 875 mg-125 mg oral tablet
27
Amoxicillin-clavulanate
Amoxicillin-clavulanate 875 mg-125 mg oral tablet
12
Total118

Withdrawals & dropouts

PeriodReasonFG000FG001FG002FG003FG004
Overall StudyLost to Follow-up34323
Overall StudyNon-participatory01100
Overall StudyPhysician Decision01200
Overall StudyWithdrawal by Subject63151

Baseline characteristics

CharacteristicConcurrent BB-12 Yogurt and Amoxicillin-clavulanateBB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanateConcurrent Control Yogurt and Amoxicillin-clavulanateControl Yogurt Taken 4 Hours After Amoxicillin-clavulanateAmoxicillin-clavulanateTotal
Age, Continuous28.15 years
STANDARD_DEVIATION 13.86
33.88 years
STANDARD_DEVIATION 14.79
30.18 years
STANDARD_DEVIATION 11.95
31.95 years
STANDARD_DEVIATION 14.09
26.30 years
STANDARD_DEVIATION 7.78
30.47 years
STANDARD_DEVIATION 2.998
Ethnicity (NIH/OMB)
Hispanic or Latino
6 Participants3 Participants1 Participants4 Participants3 Participants17 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
20 Participants24 Participants25 Participants23 Participants9 Participants101 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
6 Participants1 Participants1 Participants2 Participants4 Participants14 Participants
Race (NIH/OMB)
Black or African American
3 Participants7 Participants5 Participants6 Participants0 Participants21 Participants
Race (NIH/OMB)
More than one race
5 Participants1 Participants0 Participants0 Participants0 Participants6 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants1 Participants0 Participants0 Participants1 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants2 Participants0 Participants0 Participants2 Participants
Race (NIH/OMB)
White
12 Participants18 Participants17 Participants19 Participants8 Participants74 Participants
Sex: Female, Male
Female
17 Participants18 Participants14 Participants17 Participants5 Participants71 Participants
Sex: Female, Male
Male
9 Participants9 Participants12 Participants10 Participants7 Participants47 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
deaths
Total, all-cause mortality
0 / 260 / 270 / 260 / 270 / 12
other
Total, other adverse events
14 / 2618 / 2717 / 2615 / 276 / 12
serious
Total, serious adverse events
0 / 260 / 271 / 260 / 270 / 12

Outcome results

Primary

Change From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)

Change from baseline levels of fecal short-chain fatty acid (with a particular focus on acetate)

Time frame: day 7

Population: Participants were required to have baseline and Day 7 samples in order for this measurement to be taken.~Participants that were not analyzed were missing a baseline or Day 7 comparator therefore were not analyzed.

ArmMeasureValue (MEDIAN)
Concurrent BB-12 Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)23.55 micromolar
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-13.9 micromolar
Concurrent Control Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-19.5 micromolar
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)7.25 micromolar
Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-21.7 micromolar
Primary

Change From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)

Change from baseline levels of fecal short-chain fatty acid (with a particular focus on acetate)

Time frame: day 30

Population: Participants were required to have baseline and Day 30 samples in order for this measurement to be taken.~Participants that were not analyzed were missing a baseline or Day 30 comparator therefore were not analyzed.

ArmMeasureValue (MEDIAN)
Concurrent BB-12 Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)2.5 micromolar
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)7.8 micromolar
Concurrent Control Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)6.1 micromolar
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-25.5 micromolar
Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-15.75 micromolar
Secondary

Percentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota

Percentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota (based on the Shannon Diversity Index, percentage of change): This outcome measures the percentage change in baseline diversity of bacterial species in the fecal microbiota, using the Shannon Diversity Index. Percent change within each treatment group was calculated comparing the Shannon diversity index at each follow-up day (i.e., day 7) to day 0 (baseline). The Shannon Diversity Index is a commonly used method to quantify microbial diversity, incorporating both the richness (the number of different species) and evenness (the distribution of species) within a sample. A positive percentage change reflects an increase in microbial diversity, while a negative percentage change indicates a decrease in microbial diversity compared to the microbial diversity at baseline.

Time frame: day 7

Population: Participants were required to have baseline and Day 7 samples in order for this measurement to be taken.~Participants that were not analyzed were missing a baseline or Day 7 comparator therefore were not analyzed.

ArmMeasureValue (MEAN)Dispersion
Concurrent BB-12 Yogurt and Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-8.062 percentage of changeStandard Deviation 17.52
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-8.994 percentage of changeStandard Deviation 11.511
Concurrent Control Yogurt and Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-16.177 percentage of changeStandard Deviation 16.053
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-13.479 percentage of changeStandard Deviation 17.7
Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-4.614 percentage of changeStandard Deviation 9.691
Secondary

Percentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota

Percentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota (based on the Shannon Diversity Index, percentage of change): This outcome measures the percentage change in baseline diversity of bacterial species in the fecal microbiota, using the Shannon Diversity Index. Percent change within each treatment group was calculated comparing the Shannon diversity index at each follow-up day (i.e., day 14) to day 0 (baseline). The Shannon Diversity Index is a commonly used method to quantify microbial diversity, incorporating both the richness (the number of different species) and evenness (the distribution of species) within a sample. A positive percentage change reflects an increase in microbial diversity, while a negative percentage change indicates a decrease in microbial diversity compared to the microbial diversity at baseline.

Time frame: day 14

Population: Participants were required to have baseline and Day 14 samples in order for this measurement to be taken.~Participants that were not analyzed were missing a baseline or Day 14 comparator therefore were not analyzed.

ArmMeasureValue (MEAN)Dispersion
Concurrent BB-12 Yogurt and Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-1.456 percentage of changeStandard Deviation 12.013
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-1.826 percentage of changeStandard Deviation 10.395
Concurrent Control Yogurt and Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-5.999 percentage of changeStandard Deviation 13.018
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-7.547 percentage of changeStandard Deviation 10.808
Amoxicillin-clavulanatePercentage Change in Baseline Diversity of Bacterial Species in Fecal Microbiota-2.374 percentage of changeStandard Deviation 7.471
Other Pre-specified

Change From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)

Change from baseline levels of fecal short-chain fatty acid (with a particular focus on acetate)

Time frame: day 14

Population: Participants were required to have baseline and Day 14 samples in order for this measurement to be taken.~Participants that were not analyzed were missing a baseline or Day 14 comparator therefore were not analyzed.

ArmMeasureValue (MEDIAN)
Concurrent BB-12 Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)1.6 micromolar
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)0.6 micromolar
Concurrent Control Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-37.8 micromolar
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-13 micromolar
Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-5.3 micromolar
Other Pre-specified

Change From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)

Change from baseline levels of fecal short-chain fatty acid (with a particular focus on acetate)

Time frame: day 21

Population: Participants were required to have baseline and Day 21 samples in order for this measurement to be taken.~Participants that were not analyzed were missing a baseline or Day 21 comparator therefore were not analyzed.

ArmMeasureValue (MEDIAN)
Concurrent BB-12 Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-25.65 micromolar
BB-12 Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-10.75 micromolar
Concurrent Control Yogurt and Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-21.3 micromolar
Control Yogurt Taken 4 Hours After Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-18.2 micromolar
Amoxicillin-clavulanateChange From Baseline Levels of Fecal Short-chain Fatty Acid (With a Particular Focus on Acetate)-5.7 micromolar

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