Skip to content

Healthy Patients & Effect of Antibiotics

Prospective Study Characterizing Fecal Microbiome Disruptions During and After Receipt of Antimicrobials

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03098485
Enrollment
20
Registered
2017-03-31
Start date
2017-01-31
Completion date
2022-08-30
Last updated
2022-11-10

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

Conditions

Anti-bacterial Agents, Microbiota

Brief summary

The objective of this study is to evaluate the impact of antimicrobial (antibiotic) exposures on the microbiome in healthy adults, specifically during and after usual courses of the antimicrobials used to treat community acquired pneumonia (CAP). Pneumonia is a lung infection, and community-acquired pneumonia is pneumonia that develops outside of a healthcare facility (i.e., in the community). A microbiome is a the community of microorganisms living in a particular location, such as the gut or the mouth. Disruptions to a person's microbiome may reduce his/her colonization resistance (resistance to colonization with pathogenic microorganisms) and make him/her more susceptible to multidrug resistant organism (MDRO) colonization and infection. To study changes in the microbiome, the investigators will recruit 20 healthy adult volunteers and obtain fecal, salivary, skin, and urine specimens at multiple time points before, during, and after administration of antimicrobials. Participants will be randomized to one of 4 antimicrobial regimens, all of which are FDA-approved for treatment of community-acquired pneumonia. Stool specimens will be analyzed via stool culture and genetic sequencing, and all remaining specimens will be frozen and used to create a biospecimen repository for future analysis. The rationale for using healthy volunteers (instead of patients already prescribed antibiotics by their physicians) is because the human microbiome is very complex and can be affected by a variety of medical conditions and other medications. In addition, the presence or absence of patient-specific factors means people with infections may not be prescribed the specific courses of antibiotics the investigators are trying to study. Studying the effect of antibiotics on healthy volunteers will provide baseline data that are more applicable to the population at large.

Detailed description

Each year, antimicrobial resistance causes over two million infections and 23,000 deaths in the US alone, representing a critical global public health issue. Some of the most feared multidrug resistant organisms (MDROs) include Clostridium difficile, carbapenem-resistant Enterobacteriaceae (CRE), extended spectrum beta-lactamase producing Enterobacteriaceae (ESBL), MDRO Acinetobacter, and MDRO Pseudomonas aeruginosa; there are few antimicrobials effective against these MDROs, and available antimicrobials often have rate-limiting toxicities. The major risk factor for MDRO colonization and subsequent MDRO infections is exposure to antimicrobials. The use of antimicrobials has been associated with an altered and often less diverse composition of the fecal microbiome, and expansion of the resistome. A healthy microbiome provides colonization resistance against potentially pathogenic bacteria; antimicrobials disrupt this protective community, providing selective pressure that favors MDRO colonization, persistence, and transmission to others. Methods to proactively prevent MDRO colonization, rather than reliance on reactive approaches to this problem, are urgently needed. Antimicrobial stewardship is a key component of MDRO prevention efforts; however, there is no method to determine which antimicrobials cause the greatest degree of microbiome disruption. A better understanding of exactly how antimicrobials alter the microbiome is necessary to optimally guide future MDRO prevention efforts and antimicrobial stewardship. The development of microbiome disruption indices (MDIs) would help characterize the risk associated with specific antimicrobials, and can be used during antimicrobial development, patient monitoring while on antimicrobials, and to facilitate infection prevention efforts to contain MDRO spread. Additionally, MDIs can be used as an alert when microbiome disruptions reach a critical level and MDRO colonization is imminent. At that point, interventions to restore the microbiome could be implemented. Community-acquired pneumonia (CAP) is one of the leading causes of death in the United States, with an estimated \>900,000 cases each year in adults age 65 and older. Large amounts of antimicrobials are used in treating patients with CAP because the disease is relatively common. A better understanding of the effect of CAP antimicrobial treatment on the microbiome could result in improved treatment options for patients with CAP and protect CAP patients from colonization or infection with MDROs.

Interventions

DRUGLevofloxacin

5 days of levofloxacin administration

DRUGAzithromycin

5 days of azithromycin administration

5 days of cefpodoxime administration

Sponsors

Washington University School of Medicine
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
DOUBLE (Subject, Investigator)

Eligibility

Sex/Gender
ALL
Age
21 Years to 60 Years
Healthy volunteers
Yes

Inclusion criteria

* Healthy adults ages 21-60 residing in the St. Louis, Missouri, USA metropolitan area

Exclusion criteria

* History of allergic reaction to study antimicrobial(s) * Contraindication(s) to study antimicrobial(s) * Inability to provide regular stool samples * Any non-topical antimicrobial exposure in previous 6 months * Tube feeds as primary source of nutrition in previous 6 months * Pregnant or risk of becoming pregnant during study period * Breastfeeding during study period * Gastroenteritis in last 3 months * Any non-elective hospitalization in the previous 12 months * Incontinent of stool * Known colonization with an MDRO * Anticipated change in diet or medications during study period * Elective surgery during study period * History of an intestinal disorder * Inability to provide written, informed consent

Design outcomes

Primary

MeasureTime frameDescription
Degree of Microbial Disruption: Number of Patients With Recovery of Bacterial Species Richness at 185 Days Post-antibioticsDecrease from baseline (7 days prior to antibiotics) in microbial diversity at 185 days post-antibioticsThe degree of microbial disruption will be defined by recovery of bacterial species richness (number of species) after antibiotics.
Degree of Microbial Disruption: Number of Patients With Increase in Antibiotic Resistance Genes at 185 Days Post-antibioticsIncrease from baseline (7 days prior to antibiotics) in antibiotic resistance genes at 185 days post-antibioticsThe degree of microbiome disruptions will be defined by an increase in the number of antibiotic resistance genes after antibiotics compared to baseline.
Degree of Microbial Disruption: Number of Patients With Continued Microbial Disruption at 185 Days Post-antibioticsPersistent disruption from baseline (7 days prior to antibiotics) in microbial composition at 185 days post-antibioticsThe degree of microbiome disruptions will be defined by continuing microbial disruption, as measured by Bray-Curtis dissimilarity, post-antibiotics compared to baseline.

Countries

United States

Participant flow

Participants by arm

ArmCount
Levofloxacin
1 750mg tab of levofloxacin by mouth for 5 days Levofloxacin: 5 days of levofloxacin administration
5
Azithromycin
1 500mg tab by mouth on day 1, then 1 250 mg tab per day by mouth for 4 days (total 5 days) Azithromycin: 5 days of azithromycin administration
5
Cefpodoxime
200mg tab by mouth twice per day for 5 days Cefpodoxime: 5 days of cefpodoxime administration
5
Azithromycin and Cefpodoxime
Azithromycin: 1 500mg tab by mouth on day 1, then 1 250 mg tab per day by mouth for 4 days (total 5 days) Cefpodoxime: 200mg tab by mouth twice per day for 5 days Azithromycin: 5 days of azithromycin administration Cefpodoxime: 5 days of cefpodoxime administration
5
Total20

Baseline characteristics

CharacteristicLevofloxacinTotalAzithromycin and CefpodoximeCefpodoximeAzithromycin
Age, Customized
Age (years)
41 years37 years34 years39 years27 years
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants1 Participants0 Participants0 Participants1 Participants
Race (NIH/OMB)
Black or African American
1 Participants2 Participants1 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
4 Participants17 Participants4 Participants5 Participants4 Participants
Region of Enrollment
United States
5 participants20 participants5 participants5 participants5 participants
Sex: Female, Male
Female
2 Participants10 Participants2 Participants5 Participants1 Participants
Sex: Female, Male
Male
3 Participants10 Participants3 Participants0 Participants4 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 50 / 50 / 50 / 5
other
Total, other adverse events
0 / 50 / 50 / 50 / 5
serious
Total, serious adverse events
0 / 50 / 50 / 50 / 5

Outcome results

Primary

Degree of Microbial Disruption: Number of Patients With Continued Microbial Disruption at 185 Days Post-antibiotics

The degree of microbiome disruptions will be defined by continuing microbial disruption, as measured by Bray-Curtis dissimilarity, post-antibiotics compared to baseline.

Time frame: Persistent disruption from baseline (7 days prior to antibiotics) in microbial composition at 185 days post-antibiotics

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
LevofloxacinDegree of Microbial Disruption: Number of Patients With Continued Microbial Disruption at 185 Days Post-antibiotics4 Participants
AzithromycinDegree of Microbial Disruption: Number of Patients With Continued Microbial Disruption at 185 Days Post-antibiotics4 Participants
CefpodoximeDegree of Microbial Disruption: Number of Patients With Continued Microbial Disruption at 185 Days Post-antibiotics5 Participants
Azithromycin and CefpodoximeDegree of Microbial Disruption: Number of Patients With Continued Microbial Disruption at 185 Days Post-antibiotics5 Participants
Primary

Degree of Microbial Disruption: Number of Patients With Increase in Antibiotic Resistance Genes at 185 Days Post-antibiotics

The degree of microbiome disruptions will be defined by an increase in the number of antibiotic resistance genes after antibiotics compared to baseline.

Time frame: Increase from baseline (7 days prior to antibiotics) in antibiotic resistance genes at 185 days post-antibiotics

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
LevofloxacinDegree of Microbial Disruption: Number of Patients With Increase in Antibiotic Resistance Genes at 185 Days Post-antibiotics4 Participants
AzithromycinDegree of Microbial Disruption: Number of Patients With Increase in Antibiotic Resistance Genes at 185 Days Post-antibiotics5 Participants
CefpodoximeDegree of Microbial Disruption: Number of Patients With Increase in Antibiotic Resistance Genes at 185 Days Post-antibiotics5 Participants
Azithromycin and CefpodoximeDegree of Microbial Disruption: Number of Patients With Increase in Antibiotic Resistance Genes at 185 Days Post-antibiotics4 Participants
Primary

Degree of Microbial Disruption: Number of Patients With Recovery of Bacterial Species Richness at 185 Days Post-antibiotics

The degree of microbial disruption will be defined by recovery of bacterial species richness (number of species) after antibiotics.

Time frame: Decrease from baseline (7 days prior to antibiotics) in microbial diversity at 185 days post-antibiotics

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
LevofloxacinDegree of Microbial Disruption: Number of Patients With Recovery of Bacterial Species Richness at 185 Days Post-antibiotics3 Participants
AzithromycinDegree of Microbial Disruption: Number of Patients With Recovery of Bacterial Species Richness at 185 Days Post-antibiotics3 Participants
CefpodoximeDegree of Microbial Disruption: Number of Patients With Recovery of Bacterial Species Richness at 185 Days Post-antibiotics2 Participants
Azithromycin and CefpodoximeDegree of Microbial Disruption: Number of Patients With Recovery of Bacterial Species Richness at 185 Days Post-antibiotics3 Participants

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