| Literature DB >> 33807946 |
Jeong-Ju Yoo1, Hee Bong Shin2, Ju Sun Song3, Minjung Kim3, Jina Yun1, Zisun Kim4, Yoo Min Lee5, Sang Wook Lee6, Kwang Woo Lee6, Woong Bin Kim6, Chang Beom Ryu1, Sung-Woo Park1, Seong Kyu Park1, Ho-Yeon Song7, Young Ho Kim6.
Abstract
Traditionally, the diagnostic mainstay of recurrent urinary tract infection has been urinary culture. However, the causative uropathogen of recurrent cystitis has not been well established. Urine DNA next-generation sequencing (NGS) can provide additional information on these infections. Herein, we compared urine NGS results and urine cultures in patients with acute uncomplicated cystitis (AUC) and recurrent cystitis (RC), and evaluated the difference in microbiome patterns in the NGS results. Patients who underwent urine culture and NGS due to AUC or RC were retrospectively reviewed. All urine samples were collected via a transurethral catheter and studied utilizing a type of NGS called 16S ribosomal RNA gene amplification and sequencing. The sensitivity of urine NGS was significantly higher than that of conventional urine culture (69.0% vs. 16.7%, p < 0.05). The detection rate of urine NGS was slightly lower in the RC group than in the AUC group (67.7% vs. 72.7%). Microbiome diversity was significantly higher in the RC group compared to the AUC group (p = 0.007), and the microbiome composition was significantly different between the AUC and RC groups. In the urine NGS results, Pseudomonas, Acinetobacter, and Enterobacteriaceae were found in the AUC group, and Sphingomonas, Staphylococcus, Streptococcus, and Rothia spp. were detected in the RC group. Urine NGS can significantly increase the diagnostic sensitivity compared to traditional urine culture methods, especially in RC patients. AUC and RC patients had significant differences in bacterial diversity and patterns. Therefore, recurrent cystitis might be approached from a different perspective.Entities:
Keywords: 16S rRNA next-generation sequencing; cystitis; microbiome; urinary tract infection
Year: 2021 PMID: 33807946 PMCID: PMC7961880 DOI: 10.3390/jcm10051097
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241