Effects of Phenoximethylpenicillin, Amoxicillin and Amoxicillin-clavulanic Acid on the Gut Microbiota of Healthy Volunteers: a Randomized Clinical Trail

Background: The rationale behind this project is that different antibiotics have varying effects on the intestinal microbiota, which has clinical implications. To investigate the relative collateral damage during treatment with different antibiotics a randomized trial is needed. Repeated sampling during a 1-year period is required to capture prolonged disturbance and the time to a restored microbiota. To readily examine the antibiotic effects healthy volunteers are ideal for the study as their microbiota is most likely to be normal at inclusion. They also have a low risk of encountering other factors during follow-up that will affect the composition of the intestinal bacteria.

Aim: The purpose of the study is to determine: (1) composition of intestinal microbiota and prevalence of resistant bacteria and resistance genes prior to and up to 1 year after antibiotic treatment, and (2) differences in the microbiota after treatment with antibiotics; phenoximethylpenicillin, amoxicillin and amoxicillin-clavulanic acid respectively compared to no treatment.

Method: The study is a conducted within the Department of Infectious Diseases at Uppsala University Hospital. A total of 120 healthy volunteers will be recruited to the study. They are randomised to 5 days' treatment with phenoximethylpenicillin, amoxicillin or amoxicillin-clavulanic acid, or to no antibiotic treatment. Subjects submit faecal samples at eight different time-points; at the start of the study (before treatment), immediately, one week and 1, 3, 6, 12 and 24 months after completion of the treatment. Altogether, the subjects will provide 8 faecal samples during the course of the study. A total of 960 faecal samples will be collected and analysed.

Each subject will submit two faecal samples at each time-point. One sample will be frozen in DNA-shield and delivered to Scilifelab for analysis of the intestinal microbiota and metagenomic sequencing to detect antibiotic resistant genes.The other faecal sample will be delivered to the Microbiology department for analysis with phenotypic methods (culturomics) to detect resistant genes and resistant bacteria.

Statistics: The compilation of data and statistics will primarily be descriptive. We will analyse the intestinal microbiota and the prevalence of resistance genes in the subjects prior to and immediately after antibiotic treatment, and then monitor the composition (diversity) of the intestinal microbiota, resistant bacteria and resistance genes 1 week, 1, 3, 6, 12 and 24 months after completion of the treatment. Diversity will be analysed using metagenomics (shotgun) and is used as a variable to compare the degree of collateral damage on the intestinal microbiota with different antibiotics, and to compare the intestinal microbiota before and after antibiotic treatment in the same individual. The diversity of the intestinal microbiota in faecal sample 1 will constitute the baseline. Targeted statistical calculations on differences between treatment groups and gender as regards intestinal microbiota, resistance and side effects will be carried out depending on outcomes, which cannot be predicted in advance.