Bacterial virulence phenotypes of Escherichia coli and host susceptibility determine risk for urinary tract infections.
Henry Louis SchreiberMatt S ConoverWen-Chi ChouMichael E HibbingAbigail L MansonKaren W DodsonThomas J HannanPacita L RobertsAnn E StapletonThomas M HootonJonathan LivnyAshlee M EarlScott J HultgrenPublished in: Science translational medicine (2017)
Urinary tract infections (UTIs) are caused by uropathogenic Escherichia coli (UPEC) strains. In contrast to many enteric E. coli pathogroups, no genetic signature has been identified for UPEC strains. We conducted a high-resolution comparative genomic study using E. coli isolates collected from the urine of women suffering from frequent recurrent UTIs. These isolates were genetically diverse and varied in their urovirulence, that is, their ability to infect the bladder in a mouse model of cystitis. We found no set of genes, including previously defined putative urovirulence factors (PUFs), that were predictive of urovirulence. In addition, in some patients, the E. coli strain causing a recurrent UTI had fewer PUFs than the supplanted strain. In competitive experimental infections in mice, the supplanting strain was more efficient at colonizing the mouse bladder than the supplanted strain. Despite the lack of a clear genomic signature for urovirulence, comparative transcriptomic and phenotypic analyses revealed that the expression of key conserved functions during culture, such as motility and metabolism, could be used to predict subsequent colonization of the mouse bladder. Together, our findings suggest that UTI risk and outcome may be determined by complex interactions between host susceptibility and the urovirulence potential of diverse bacterial strains.
Keyphrases
- escherichia coli
- urinary tract infection
- biofilm formation
- spinal cord injury
- high resolution
- mouse model
- copy number
- end stage renal disease
- klebsiella pneumoniae
- genome wide
- ejection fraction
- chronic kidney disease
- poor prognosis
- urinary tract
- single cell
- prognostic factors
- magnetic resonance
- transcription factor
- genetic diversity
- mass spectrometry
- peritoneal dialysis
- polycystic ovary syndrome
- magnetic resonance imaging
- rna seq
- metabolic syndrome
- pseudomonas aeruginosa
- skeletal muscle
- insulin resistance
- adipose tissue
- long non coding rna
- climate change
- risk assessment
- wild type
- human health