Semen microbiota: cluster analysis of real-time PCR data

To this day semen microbiota is still poorly understood, and clinical significance of detecting specific microorganism groups has not been clearly determined. The aim of this work was to conduct cluster analysis of semen microbiota detected using real-time PCR. 634 semen samples of reproductive age...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bulletin of RSMU 2020-09 (2020(5))
Hauptverfasser: Voroshilina, ES, Zornikov, DL, Ivanov, AV, Pochernikov, DG, Panacheva, EA
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 2020(5)
container_start_page
container_title Bulletin of RSMU
container_volume
creator Voroshilina, ES
Zornikov, DL
Ivanov, AV
Pochernikov, DG
Panacheva, EA
description To this day semen microbiota is still poorly understood, and clinical significance of detecting specific microorganism groups has not been clearly determined. The aim of this work was to conduct cluster analysis of semen microbiota detected using real-time PCR. 634 semen samples of reproductive age men were analyzed using the Androflor kit. Microbial DNA in the quantity of no less than 103 GE/ml was detected in 460 samples (72.5%). From 1 to 14 microorganism groups were detected in 350 samples (55.2%) in the quantities that exceeded the threshold values (the detection rate of specific groups: 3.3–21.0%). In these 350 samples 4 stable microbiota clusters were determined. Each of the clusters was characterized by the prevalence of a specific microorganism group: obligate anaerobes (cluster 1; n = 172; detection rate — 49.1%), Lactobacillus spp. (cluster 2; n = 78; detection rate — 22.3%), gram-positive facultative anaerobes (cluster 3; n = 62; detection rate — 17.7%), Enterobacteriaceae / Enterococcoccus (cluster 4; n = 62; detection rate — 10.9%). Cluster 1 was less stable and was characterized by the larger species diversity compared to other clusters.
doi_str_mv 10.24075/brsmu.2020.064
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_24075_brsmu_2020_064</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_24075_brsmu_2020_064</sourcerecordid><originalsourceid>FETCH-LOGICAL-c282t-1db68fe39f13d8cee9b972b35cdf3672586cb0c4d127ac64919736304d8a4b5c3</originalsourceid><addsrcrecordid>eNotz8tKAzEYBeAgCpbatdu8QKZ_7ok7GbxBQfGyDrnCyEwryXTRt7etrs5ZHc6H0C2FjgnQch1qm_YdAwYdKHGBFkwKRigDcXnqAISCFddo1do3AHBOuZJ6gcxHnvIWT0OsuzDsZn-H47hvc67Yb_14aEPDu4Jr9iOZhynjt_4dJz_7G3RV_Njy6j-X6Ovx4bN_JpvXp5f-fkMiM2wmNAVlSua2UJ5MzNkGq1ngMqbClWbSqBggikSZ9lEJS63mioNIxosgI1-i9d_u8WBrNRf3U4fJ14Oj4M52d7a7k90d7fwXu45MwA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Semen microbiota: cluster analysis of real-time PCR data</title><source>DOAJ Directory of Open Access Journals</source><creator>Voroshilina, ES ; Zornikov, DL ; Ivanov, AV ; Pochernikov, DG ; Panacheva, EA</creator><creatorcontrib>Voroshilina, ES ; Zornikov, DL ; Ivanov, AV ; Pochernikov, DG ; Panacheva, EA</creatorcontrib><description>To this day semen microbiota is still poorly understood, and clinical significance of detecting specific microorganism groups has not been clearly determined. The aim of this work was to conduct cluster analysis of semen microbiota detected using real-time PCR. 634 semen samples of reproductive age men were analyzed using the Androflor kit. Microbial DNA in the quantity of no less than 103 GE/ml was detected in 460 samples (72.5%). From 1 to 14 microorganism groups were detected in 350 samples (55.2%) in the quantities that exceeded the threshold values (the detection rate of specific groups: 3.3–21.0%). In these 350 samples 4 stable microbiota clusters were determined. Each of the clusters was characterized by the prevalence of a specific microorganism group: obligate anaerobes (cluster 1; n = 172; detection rate — 49.1%), Lactobacillus spp. (cluster 2; n = 78; detection rate — 22.3%), gram-positive facultative anaerobes (cluster 3; n = 62; detection rate — 17.7%), Enterobacteriaceae / Enterococcoccus (cluster 4; n = 62; detection rate — 10.9%). Cluster 1 was less stable and was characterized by the larger species diversity compared to other clusters.</description><identifier>ISSN: 2500-1094</identifier><identifier>EISSN: 2542-1204</identifier><identifier>DOI: 10.24075/brsmu.2020.064</identifier><language>eng</language><ispartof>Bulletin of RSMU, 2020-09 (2020(5))</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c282t-1db68fe39f13d8cee9b972b35cdf3672586cb0c4d127ac64919736304d8a4b5c3</citedby><cites>FETCH-LOGICAL-c282t-1db68fe39f13d8cee9b972b35cdf3672586cb0c4d127ac64919736304d8a4b5c3</cites><orcidid>0000-0003-1630-1628 ; 0000-0001-9132-215X ; 0000-0002-8944-7524</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27903,27904</link.rule.ids></links><search><creatorcontrib>Voroshilina, ES</creatorcontrib><creatorcontrib>Zornikov, DL</creatorcontrib><creatorcontrib>Ivanov, AV</creatorcontrib><creatorcontrib>Pochernikov, DG</creatorcontrib><creatorcontrib>Panacheva, EA</creatorcontrib><title>Semen microbiota: cluster analysis of real-time PCR data</title><title>Bulletin of RSMU</title><description>To this day semen microbiota is still poorly understood, and clinical significance of detecting specific microorganism groups has not been clearly determined. The aim of this work was to conduct cluster analysis of semen microbiota detected using real-time PCR. 634 semen samples of reproductive age men were analyzed using the Androflor kit. Microbial DNA in the quantity of no less than 103 GE/ml was detected in 460 samples (72.5%). From 1 to 14 microorganism groups were detected in 350 samples (55.2%) in the quantities that exceeded the threshold values (the detection rate of specific groups: 3.3–21.0%). In these 350 samples 4 stable microbiota clusters were determined. Each of the clusters was characterized by the prevalence of a specific microorganism group: obligate anaerobes (cluster 1; n = 172; detection rate — 49.1%), Lactobacillus spp. (cluster 2; n = 78; detection rate — 22.3%), gram-positive facultative anaerobes (cluster 3; n = 62; detection rate — 17.7%), Enterobacteriaceae / Enterococcoccus (cluster 4; n = 62; detection rate — 10.9%). Cluster 1 was less stable and was characterized by the larger species diversity compared to other clusters.</description><issn>2500-1094</issn><issn>2542-1204</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNotz8tKAzEYBeAgCpbatdu8QKZ_7ok7GbxBQfGyDrnCyEwryXTRt7etrs5ZHc6H0C2FjgnQch1qm_YdAwYdKHGBFkwKRigDcXnqAISCFddo1do3AHBOuZJ6gcxHnvIWT0OsuzDsZn-H47hvc67Yb_14aEPDu4Jr9iOZhynjt_4dJz_7G3RV_Njy6j-X6Ovx4bN_JpvXp5f-fkMiM2wmNAVlSua2UJ5MzNkGq1ngMqbClWbSqBggikSZ9lEJS63mioNIxosgI1-i9d_u8WBrNRf3U4fJ14Oj4M52d7a7k90d7fwXu45MwA</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Voroshilina, ES</creator><creator>Zornikov, DL</creator><creator>Ivanov, AV</creator><creator>Pochernikov, DG</creator><creator>Panacheva, EA</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-1630-1628</orcidid><orcidid>https://orcid.org/0000-0001-9132-215X</orcidid><orcidid>https://orcid.org/0000-0002-8944-7524</orcidid></search><sort><creationdate>20200901</creationdate><title>Semen microbiota: cluster analysis of real-time PCR data</title><author>Voroshilina, ES ; Zornikov, DL ; Ivanov, AV ; Pochernikov, DG ; Panacheva, EA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c282t-1db68fe39f13d8cee9b972b35cdf3672586cb0c4d127ac64919736304d8a4b5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Voroshilina, ES</creatorcontrib><creatorcontrib>Zornikov, DL</creatorcontrib><creatorcontrib>Ivanov, AV</creatorcontrib><creatorcontrib>Pochernikov, DG</creatorcontrib><creatorcontrib>Panacheva, EA</creatorcontrib><collection>CrossRef</collection><jtitle>Bulletin of RSMU</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Voroshilina, ES</au><au>Zornikov, DL</au><au>Ivanov, AV</au><au>Pochernikov, DG</au><au>Panacheva, EA</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Semen microbiota: cluster analysis of real-time PCR data</atitle><jtitle>Bulletin of RSMU</jtitle><date>2020-09-01</date><risdate>2020</risdate><issue>2020(5)</issue><issn>2500-1094</issn><eissn>2542-1204</eissn><abstract>To this day semen microbiota is still poorly understood, and clinical significance of detecting specific microorganism groups has not been clearly determined. The aim of this work was to conduct cluster analysis of semen microbiota detected using real-time PCR. 634 semen samples of reproductive age men were analyzed using the Androflor kit. Microbial DNA in the quantity of no less than 103 GE/ml was detected in 460 samples (72.5%). From 1 to 14 microorganism groups were detected in 350 samples (55.2%) in the quantities that exceeded the threshold values (the detection rate of specific groups: 3.3–21.0%). In these 350 samples 4 stable microbiota clusters were determined. Each of the clusters was characterized by the prevalence of a specific microorganism group: obligate anaerobes (cluster 1; n = 172; detection rate — 49.1%), Lactobacillus spp. (cluster 2; n = 78; detection rate — 22.3%), gram-positive facultative anaerobes (cluster 3; n = 62; detection rate — 17.7%), Enterobacteriaceae / Enterococcoccus (cluster 4; n = 62; detection rate — 10.9%). Cluster 1 was less stable and was characterized by the larger species diversity compared to other clusters.</abstract><doi>10.24075/brsmu.2020.064</doi><orcidid>https://orcid.org/0000-0003-1630-1628</orcidid><orcidid>https://orcid.org/0000-0001-9132-215X</orcidid><orcidid>https://orcid.org/0000-0002-8944-7524</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2500-1094
ispartof Bulletin of RSMU, 2020-09 (2020(5))
issn 2500-1094
2542-1204
language eng
recordid cdi_crossref_primary_10_24075_brsmu_2020_064
source DOAJ Directory of Open Access Journals
title Semen microbiota: cluster analysis of real-time PCR data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T13%3A34%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Semen%20microbiota:%20cluster%20analysis%20of%20real-time%20PCR%20data&rft.jtitle=Bulletin%20of%20RSMU&rft.au=Voroshilina,%20ES&rft.date=2020-09-01&rft.issue=2020(5)&rft.issn=2500-1094&rft.eissn=2542-1204&rft_id=info:doi/10.24075/brsmu.2020.064&rft_dat=%3Ccrossref%3E10_24075_brsmu_2020_064%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true