Prospective examination of the changes in the urinary microbiome induced by transrectal biopsy of the prostate using 16S rRNA gene analysis

Autor: Danuta Dynda, Shaheen Alanee, Ahmed El-Zawahry, Kevin T. McVary, Mallory Karr, Andrea Braundmeier-Fleming
Rok vydání: 2019
Předmět:
Adult
DNA
Bacterial
Male
Cancer Research
medicine.medical_specialty
Prostate biopsy
Bacteriuria
Urology
030232 urology & nephrology
Urine
Magnetic Resonance Imaging
Interventional
Gastroenterology
Feces
03 medical and health sciences
Prostate cancer
Postoperative Complications
0302 clinical medicine
Prostate
RNA
Ribosomal
16S
Internal medicine
Biopsy
medicine
Prevotella
Humans
Postoperative Period
Prospective Studies
Urinary Tract
Prostate massage
Bacteria
medicine.diagnostic_test
biology
business.industry
Microbiota
Rectum
High-Throughput Nucleotide Sequencing
Prostatic Neoplasms
Antibiotic Prophylaxis
biology.organism_classification
medicine.disease
Cephalosporins
medicine.anatomical_structure
Oncology
Transrectal biopsy
030220 oncology & carcinogenesis
Preoperative Period
Biopsy
Large-Core Needle
business
Zdroj: Prostate Cancer and Prostatic Diseases. 22:446-452
ISSN: 1476-5608
1365-7852
Popis: To prospectively examine the changes in microbiota within the urinary tract after transrectal prostate biopsy. Data, urine, and fecal samples prospectively collected from 30 patients before and after transrectal biopsy of the prostate. DNA was extracted from urine collected after a prostate massage before and after prostate biopsy, and from fecal samples collected before the biopsy. We sequenced DNA using the bacterial 16S rRNA high-throughput next-generation sequencing and analyzed changes in microbial profiles for taxonomy comparison between samples. Pre-biopsy urinary microbial profiles contained Lactobacillus and Staphylococcus bacteria. Post-biopsy urinary microbial profiles included lower levels of Lactobacillus and higher levels of Prevotella bacteria. Bacteroides bacteria were predominant in fecal samples. We identified two clustering patterns containing both pre- and post-biopsy urine samples. Cluster 1 had a urine cluster pattern that was distinct from fecal, whereas cluster 2 was similar to fecal. We observed two different modes of microbial changes, 11 patients had both of their urine (pre and post) samples associated with a particular cluster group, whereas others (n = 15) had movement between clusters 1 and 2 following the biopsy procedure. Four patient’s post-biopsy urine microbial profiles clustered very tightly to the fecal microbial profile. We describe two models of change in the urinary tract microbiota after prostate biopsy using 16S RNA gene analysis. Further research to determine what controls changes in the urinary microbiota after prostate biopsy can help us understand why some patients are more susceptible to develop post-biopsy infections.
Databáze: OpenAIRE
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