Escerichia coli
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1083935 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28351000_1.fastq.gz | Fastqsanger.gz | |||
| SRR28351000_2.fastq.gz | Fastqsanger.gz | |||
| SRR28351001_1.fastq.gz | Fastqsanger.gz | |||
| SRR28351001_2.fastq.gz | Fastqsanger.gz | |||
| SRR28351002_1.fastq.gz | Fastqsanger.gz |
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Project description:Urinary tract infections (UTIs) represent a major burden across the population, although key facets of their pathogenesis challenge physicians and investigators alike. Escherichia coli epitomizes these obstacles: this Gram-negative bacterial species is the most prevalent agent of UTIs worldwide and can also colonize the urogenital tract in a phenomenon known as asymptomatic bacteriuria (ASB). Unfortunately, at the level of the organism, the relationship between symptomatic UTI and ASB is poorly defined, confounding our understanding of microbial pathogenesis and strategies for clinical management. Unlike diarrheagenic pathotypes of E. coli, the definition of uropathogenic E. coli (UPEC) remains phenomenologic, without conserved phenotypes and (known) genetic determinants that rigorously distinguish UTI- and ASB-associated strains. This manuscript provides a cross-disciplinary review of the current issues – from interrelated mechanistic and diagnostic perspectives – and describes new opportunities by which clinical resources can be leveraged to overcome molecular challenges. Specifically, we present our work harnessing a large collection of patient-derived isolates to identify features that do (and do not) distinguish UTI- from ASB-associated E. coli strains. Analyses of biofilm formation, previously reported to be higher in ASB strains, revealed extensive phenotypic heterogeneity that did not correlate with symptomatology. However, metabolomic experiments revealed distinct signatures between ASB and cystitis isolates, including species in the purine pathway (previously shown to be critical for intracellular survival during acute infection). Together, these studies demonstrate how large-scale, wild-type approaches can help dissect the physiology of colonization-versus-infection, suggesting that the molecular definition of UPEC may rest at the level of global bacterial metabolism.
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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 organism’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.
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