Project description:Antibiotic adjuvants are commonly described as an alternative approach to overcome bacterial resistance towards conventional antibiotics. In this experiment, we investigated this statement for tobramycin (TOB) in combination with three adjuvants; baicalin hydrate (BH), a quorum sensing inhibitor, econazole (ECO) and miconazole (MICO), two antifungal agents that are repurposed as antibiotic adjuvants. We repeatedly exposed mature (24 hour old) Burkholderia cenocepacia J2315 biofilm cells to TOB alone (768ug/ml), or a combination of TOB with either BH (250uM), ECO (1uM) or MICO (1uM). We also included an untreated control. After a treatment, the remaining cells were quantified and the cells were allowed to regrow for another 48 hours. This process is one cycle. At the end of the experiment, biofilm cells were exposed to 15 cycles. DNA extraction was performed on the evolved cells and of cells from the start population. DNA sequencing was performed on these samples and single nucleotide polymorphisms compared to the start population were evaluated.
Project description:We have previously shown that celecoxib, a selective COX-2 inhibitor, in combination with antibiotic sensitizes S aureus to antibiotic thereby decreasing the MIC of antibiotic. The present study is aimed at understanding the molecular mechanism of action of celecoxib on S aureus growth by microarray analysis. The results were analysed and the data clearly shows global change in the expression levels of S aureus genes in presence of celecoxib. Many virulence genes, essential genes and nonessential genes are down-regulated in presence of celecoxib in combination with ampicillin when compared to drug treatment alone.
2015-06-02 | GSE56100 | GEO
Project description:Antibiotic combination therapy selection: Whole-genome sequencing of evolved clones of the Pseudomonas aeruginosa PAO1 strain.
Project description:Treatment failures of antibiotic therapy are of major concern and can be caused by a misalignment of the antibiotic susceptibility determined in vitro with the behaviour of the pathogen in the patient. The aim of this study was to investigate the transcriptomic response of the uropathogenic strain E. coli CFT073 to antibiotic treatment in blood stream infection (BSI) models in order to understand and avoid antibiotic therapy failures in urosepsis treatments. Blood stream infection models were established by growing E. coli CFT073 in pooled human blood with and without ciprofloxacin. The antibiotic challenge was introduced at mid-logarithmic phase of growth of the organism to depict a clinical scenario. The responses were quantified by comparing to the responses at a given time point without the challenge. Global gene expression profiling of these conditions was examined using commercial DNA microarrays. The organismâ??s metabolic genes appeared to be regulated differently in each medium, this indicated that the bacterial growth regulation were different between the models. Bacterial growth in human serum mainly involved regulations of amino acid synthesis/utilisation such as glycine, arginine, thiamine, regulations of fimbrial proteins and bacteriophage genes. When comparing the responses to antibiotic challenge, bacteria grown in the respective medium displayed specific responses to the antibiotic challenge which were not seen in the other media. The common functions of genes that responded to the ciprofloxacin challenge were SOS response, DNA repair, DNA replication, fimbrial genes and bacteriophage initiation. A subset of the bacteriophage genes showed similar responses between the three models. From genes that were differentially regulated, responses observed in the serum model appeared to have the highest fold changes. In this study we established new models to investigate blood stream infections. They have been used to identify previously unknown differences in the molecular response to antibiotic treatment by the uropathogenic E. coli CFT073 depending on the media. These unique responses will help to unravel the complexity of bloodstream infection and can help to improve the antibiotic therapy that is used. A 10 array study using total RNA recovered from bacteria that were grown in human whole blood, with and without ciprofloxacin challenge. Arrays were performed in 5 biological replicates from each condition.
Project description:Treatment failures of antibiotic therapy are of major concern and can be caused by a misalignment of the antibiotic susceptibility determined in vitro with the behaviour of the pathogen in the patient. The aim of this study was to investigate the transcriptomic response of the uropathogenic strain E. coli CFT073 to antibiotic treatment in blood stream infection (BSI) models in order to understand and avoid antibiotic therapy failures in urosepsis treatments. Blood stream infection models were established by growing E. coli CFT073 in pooled human serum with and without ciprofloxacin and compared to Iso-sensitest medium. The antibiotic challenge was introduced at mid-logarithmic phase of growth of the organism to depict a clinical scenario . Global gene expression profiling of these conditions was examined using commercial DNA microarrays. The organismâs metabolic genes appeared to be regulated differently in each medium, this indicated that the bacterial growth regulation were different between the models. Bacterial growth in human serum mainly involved regulations of amino acid synthesis/utilisation such as glycine, arginine, thiamine, regulations of fimbrial proteins and bacteriophage genes. When comparing the responses to antibiotic challenge, bacteria grown in the respective medium displayed specific responses to the antibiotic challenge which were not seen in the other media. The common functions of genes that responded to the ciprofloxacin challenge were SOS response, DNA repair, DNA replication, fimbrial genes and bacteriophage initiation. A subset of the bacteriophage genes showed similar responses between the three models. From genes that were differentially regulated, responses observed in the serum model appeared to have the highest fold changes. In this study we established new models to investigate blood stream infections. They have been used to identify previously unknown differences in the molecular response to antibiotic treatment by the uropathogenic E. coli CFT073 depending on the media. These unique responses will help to unravel the complexity of bloodstream infection and can help to improve the antibiotic therapy that is used. A 20 array study using total RNA recovered from bacteria from bacteria that were either grown in human serum or Iso-Sensitest (IST) broth, with and without ciprofloxacin challenge. Arrays were performed in 5 biological replicates from each condition.Upon QC checks, certain biological repeats were excluded due to poor hybridisation results.