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. 2020 Apr;9(2):398-404.
doi: 10.21037/tau.2020.02.05.

Analysis of bacterial community using pyrosequencing in semen from patients with chronic pelvic pain syndrome: a pilot study

Jin Bong Choi  1 , Seung-Ju Lee  2 , Sang-Rim Kang  3 , Sang-Seob Lee  3 , Hyun-Sop Choe  2
Affiliations

Analysis of bacterial community using pyrosequencing in semen from patients with chronic pelvic pain syndrome: a pilot study

Jin Bong Choi et al. Transl Androl Urol. 2020 Apr.

Abstract

Background: Although empirical antibacterial treatments are currently recommended for inflammatory chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), physicians cannot verify infections in most cases. Therefore, in this study, the microbiota of semen was investigated via pyrosequencing to obtain evidence underlying infectious disease.

Methods: Patients diagnosed with CP/CPPS (n=17) and healthy volunteers (n=4) participated in the study. Whole DNA was purified from the participants' semen. The DNA was amplified by polymerase chain reaction (PCR) using universal bacterial primers. All semen samples were also cultured using conventional methods. Pyrosequencing analysis of the PCR-amplified DNA was performed.

Results: None of the semen samples showed colony formation in conventional bacterial cultures. However, pyrosequencing revealed multiple bacterial genera in all samples, including an abundance of fastidious bacteria. Corynebacterium, Pseudomonas, Sphingomonas, Staphylococcus, and Streptococcus were frequently detected nonspecifically in both the patient and control groups. However, Achromobacter, Stenotrophomonas, and Brevibacillus were more frequently found in the CP/CPPS patients.

Conclusions: The identification of various dominant species in the CP/CPPS group other than those reported in previous studies might be helpful for future etiological analysis of CP/CPPS.

Keywords: 16S ribosomal RNA (16S rRNA); chronic prostatitis (CP); pyrosequencing; semen.

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tau.2020.02.05). The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Taxonomic classification of the sequences at the genus level.
Figure S1
Figure S1
Phylogenetic tree using the UPGMA algorithm based on the distance between communities.
See this image and copyright information in PMC

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