Metagenomics in diagnosis and improved targeted treatment of UTI

Autor: Florian M.E. Wagenlehner, Kurt G. Naber, Truls Erik Bjerklund-Johansen, Michael L. McDonald, Maria Stefil, Matthew Dixon, Vladimir Mouraviev
Rok vydání: 2019
Předmět:
Zdroj: World Journal of Urology. 38:35-43
ISSN: 1433-8726
0724-4983
DOI: 10.1007/s00345-019-02731-9
Popis: INTRODUCTION: The genomic revolution has transformed our understanding of urinary tract infection. There has been a paradigm shift from the dogmatic statement that urine is sterile in healthy people, as we are becoming forever more familiar with the knowledge that bacterial communities exist within the urinary tracts of healthy people. Metagenomics can investigate the broad populations of microbial communities, analysing all the DNA present within a sample, providing comprehensive data regarding the state of the microenvironment of a patient's urinary tract. This permits medical practitioners to more accurately target organisms that may be responsible for disease-a form of 'precision medicine'. METHODS AND RESULTS: This paper is derived from an extensive review and analysis of the available literature on the topic of metagenomic sequencing in urological science, using the PubMed search engine. The search yielded a total of 406 results, and manual selection of appropriate papers was subsequently performed. Only one randomised clinical trial comparing metagenomic sequencing to standard culture and sensitivity in the arena of urinary tract infection was found. CONCLUSION: Out of this process, this paper explores the limitations of traditional methods of culture and sensitivity and delves into the recent studies involving new high-throughput genomic technologies in urological basic and clinical research, demonstrating the advances made in the urinary microbiome in its entire spectrum of pathogens and the first attempts of clinical implementation in several areas of urology. Finally, this paper discusses the challenges that must be overcome for such technology to become widely used in clinical practice.
Databáze: OpenAIRE
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