2180. Pseudomonas aeruginosa epidemic high-risk clones and their association with multidrug-resistant

Abstract Background Pseudomonas aeruginosa (PAE) is an opportunistic pathogen associated with a variety of hospital infections. Treatment of infections caused by PAE is challenging due to the emergence of multidrug-resistant (MDR), which is associated with increased morbidity, mortality, and healthc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Open forum infectious diseases 2023-11, Vol.10 (Supplement_2)
Hauptverfasser: Zurita, Jeannete, Sevillano, Gabriela, Solis, Maria Belen, Miño, Ariane Paz y, Alves, Beatriz Rizkallah
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue Supplement_2
container_start_page
container_title Open forum infectious diseases
container_volume 10
creator Zurita, Jeannete
Sevillano, Gabriela
Solis, Maria Belen
Miño, Ariane Paz y
Alves, Beatriz Rizkallah
description Abstract Background Pseudomonas aeruginosa (PAE) is an opportunistic pathogen associated with a variety of hospital infections. Treatment of infections caused by PAE is challenging due to the emergence of multidrug-resistant (MDR), which is associated with increased morbidity, mortality, and healthcare costs. Clonal spread and the presence of resistance genes probably explain the successful propagation of MDR. In Ecuador, data on the molecular epidemiology, as well as circulating clones, are limited. Therefore, the objective of this study is to know the population structure of PAE by identifying clones in clinical samples in Quito-Ecuador. Methods A significant set (45) of randomly selected clinical PAE isolates, including multidrug and non-multidrug resistant isolates, were assigned to sequence types (STs) and compared them with their antibiotic susceptibility profile. The genetic diversity was assessed by applying the multilocus sequence typing (MLST) scheme (Figure 1) and the genetic relationships between different STs were corroborated by the phylogenetic neighbor-net network (Figure 2).Figure 1.Analysis of the allelic profiles using eBURST algorithm.Figure 2.Splits Tree showing the distribution of all the sequence types obtained for the clinical Pseudomonas aeruginosa isolates studied. The Splits Tree was based on the analysis of the allelic profiles of the acsA, aroE, guaA, mutL, nuoD, ppsA and trpE genes. Asterisk mark (*) indicates the MDR isolates Results The analysis of seven loci, acsA, aroE, guaA, mutL, nuoD, ppsA and trpE, identified 24 different ST and the most prevalent STs were ST-3750 and ST-253. A SplitsTree was constructed with all the isolates analyzed. The majority of the MDR isolates were included in ST-3750 and ST-253, also 3 singleton ST was identified in to MDR isolates. The 20 different ST was found to non-MDR isolates, and only 3 ST were found in more the one isolates. Conclusion The population structure of clinical PAE presents in these isolates indicate a significant association between MDR isolates and the clonal types: all ST-3750 and ST-253 isolates were MDR. ST-3750 is closely related strains to the ST111 (CC111), and ST-253 and ST111 are a group of successful high-risk clones and widely distributed worldwide. The multiresistant-isolates studied are grouped in the most prevalent sequence types found, and the susceptible isolates correspond mainly to singleton sequence types. Therefore, these high-risk clones and their assoc
doi_str_mv 10.1093/ofid/ofad500.1802
format Article
fullrecord <record><control><sourceid>oup_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_ofid_ofad500_1802</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ofid/ofad500.1802</oup_id><sourcerecordid>10.1093/ofid/ofad500.1802</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1702-ca06ec4b01ed36818c6c90df8b226365874b8da9d9bfdbf197882a31e3db2c2f3</originalsourceid><addsrcrecordid>eNqNkMtOwzAQRS0EElXpB7DzB5AytpvEXqKKR6VKsIB15NjjxpDEkZ0I8fekahcs2cyMRufexSHklsGagRL3wXk7D21zmD8S-AVZcMFlJlVeXv65r8kqpU8AYAxyKNWCIJ_5NX1LONnQhV4nqjFOB9-HpCkO3mLnDW38ocmiT1_UtKHHGeotHRv0keqUgvF69KGn335saDe1o7dzRxYx-TTqfrwhV063CVfnvSQfT4_v25ds__q82z7sM8NK4JnRUKDZ1MDQikIyaQqjwDpZc16IIpflppZWK6tqZ2vHVCkl14KhsDU33IklYadeE0NKEV01RN_p-FMxqI6qqqOq6qyqOqqaM3enTJiGf-C_pMhu0w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>2180. Pseudomonas aeruginosa epidemic high-risk clones and their association with multidrug-resistant</title><source>Oxford Journals Open Access Collection</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Zurita, Jeannete ; Sevillano, Gabriela ; Solis, Maria Belen ; Miño, Ariane Paz y ; Alves, Beatriz Rizkallah</creator><creatorcontrib>Zurita, Jeannete ; Sevillano, Gabriela ; Solis, Maria Belen ; Miño, Ariane Paz y ; Alves, Beatriz Rizkallah</creatorcontrib><description>Abstract Background Pseudomonas aeruginosa (PAE) is an opportunistic pathogen associated with a variety of hospital infections. Treatment of infections caused by PAE is challenging due to the emergence of multidrug-resistant (MDR), which is associated with increased morbidity, mortality, and healthcare costs. Clonal spread and the presence of resistance genes probably explain the successful propagation of MDR. In Ecuador, data on the molecular epidemiology, as well as circulating clones, are limited. Therefore, the objective of this study is to know the population structure of PAE by identifying clones in clinical samples in Quito-Ecuador. Methods A significant set (45) of randomly selected clinical PAE isolates, including multidrug and non-multidrug resistant isolates, were assigned to sequence types (STs) and compared them with their antibiotic susceptibility profile. The genetic diversity was assessed by applying the multilocus sequence typing (MLST) scheme (Figure 1) and the genetic relationships between different STs were corroborated by the phylogenetic neighbor-net network (Figure 2).Figure 1.Analysis of the allelic profiles using eBURST algorithm.Figure 2.Splits Tree showing the distribution of all the sequence types obtained for the clinical Pseudomonas aeruginosa isolates studied. The Splits Tree was based on the analysis of the allelic profiles of the acsA, aroE, guaA, mutL, nuoD, ppsA and trpE genes. Asterisk mark (*) indicates the MDR isolates Results The analysis of seven loci, acsA, aroE, guaA, mutL, nuoD, ppsA and trpE, identified 24 different ST and the most prevalent STs were ST-3750 and ST-253. A SplitsTree was constructed with all the isolates analyzed. The majority of the MDR isolates were included in ST-3750 and ST-253, also 3 singleton ST was identified in to MDR isolates. The 20 different ST was found to non-MDR isolates, and only 3 ST were found in more the one isolates. Conclusion The population structure of clinical PAE presents in these isolates indicate a significant association between MDR isolates and the clonal types: all ST-3750 and ST-253 isolates were MDR. ST-3750 is closely related strains to the ST111 (CC111), and ST-253 and ST111 are a group of successful high-risk clones and widely distributed worldwide. The multiresistant-isolates studied are grouped in the most prevalent sequence types found, and the susceptible isolates correspond mainly to singleton sequence types. Therefore, these high-risk clones and their association with multidrug resistance phenotypes are contributing to the spread of MDR in Quito-Ecuador. Disclosures Jeannete Zurita, n/a, Pfizer: Grant/Research Support</description><identifier>ISSN: 2328-8957</identifier><identifier>EISSN: 2328-8957</identifier><identifier>DOI: 10.1093/ofid/ofad500.1802</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><ispartof>Open forum infectious diseases, 2023-11, Vol.10 (Supplement_2)</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1702-ca06ec4b01ed36818c6c90df8b226365874b8da9d9bfdbf197882a31e3db2c2f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Zurita, Jeannete</creatorcontrib><creatorcontrib>Sevillano, Gabriela</creatorcontrib><creatorcontrib>Solis, Maria Belen</creatorcontrib><creatorcontrib>Miño, Ariane Paz y</creatorcontrib><creatorcontrib>Alves, Beatriz Rizkallah</creatorcontrib><title>2180. Pseudomonas aeruginosa epidemic high-risk clones and their association with multidrug-resistant</title><title>Open forum infectious diseases</title><description>Abstract Background Pseudomonas aeruginosa (PAE) is an opportunistic pathogen associated with a variety of hospital infections. Treatment of infections caused by PAE is challenging due to the emergence of multidrug-resistant (MDR), which is associated with increased morbidity, mortality, and healthcare costs. Clonal spread and the presence of resistance genes probably explain the successful propagation of MDR. In Ecuador, data on the molecular epidemiology, as well as circulating clones, are limited. Therefore, the objective of this study is to know the population structure of PAE by identifying clones in clinical samples in Quito-Ecuador. Methods A significant set (45) of randomly selected clinical PAE isolates, including multidrug and non-multidrug resistant isolates, were assigned to sequence types (STs) and compared them with their antibiotic susceptibility profile. The genetic diversity was assessed by applying the multilocus sequence typing (MLST) scheme (Figure 1) and the genetic relationships between different STs were corroborated by the phylogenetic neighbor-net network (Figure 2).Figure 1.Analysis of the allelic profiles using eBURST algorithm.Figure 2.Splits Tree showing the distribution of all the sequence types obtained for the clinical Pseudomonas aeruginosa isolates studied. The Splits Tree was based on the analysis of the allelic profiles of the acsA, aroE, guaA, mutL, nuoD, ppsA and trpE genes. Asterisk mark (*) indicates the MDR isolates Results The analysis of seven loci, acsA, aroE, guaA, mutL, nuoD, ppsA and trpE, identified 24 different ST and the most prevalent STs were ST-3750 and ST-253. A SplitsTree was constructed with all the isolates analyzed. The majority of the MDR isolates were included in ST-3750 and ST-253, also 3 singleton ST was identified in to MDR isolates. The 20 different ST was found to non-MDR isolates, and only 3 ST were found in more the one isolates. Conclusion The population structure of clinical PAE presents in these isolates indicate a significant association between MDR isolates and the clonal types: all ST-3750 and ST-253 isolates were MDR. ST-3750 is closely related strains to the ST111 (CC111), and ST-253 and ST111 are a group of successful high-risk clones and widely distributed worldwide. The multiresistant-isolates studied are grouped in the most prevalent sequence types found, and the susceptible isolates correspond mainly to singleton sequence types. Therefore, these high-risk clones and their association with multidrug resistance phenotypes are contributing to the spread of MDR in Quito-Ecuador. Disclosures Jeannete Zurita, n/a, Pfizer: Grant/Research Support</description><issn>2328-8957</issn><issn>2328-8957</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNqNkMtOwzAQRS0EElXpB7DzB5AytpvEXqKKR6VKsIB15NjjxpDEkZ0I8fekahcs2cyMRufexSHklsGagRL3wXk7D21zmD8S-AVZcMFlJlVeXv65r8kqpU8AYAxyKNWCIJ_5NX1LONnQhV4nqjFOB9-HpCkO3mLnDW38ocmiT1_UtKHHGeotHRv0keqUgvF69KGn335saDe1o7dzRxYx-TTqfrwhV063CVfnvSQfT4_v25ds__q82z7sM8NK4JnRUKDZ1MDQikIyaQqjwDpZc16IIpflppZWK6tqZ2vHVCkl14KhsDU33IklYadeE0NKEV01RN_p-FMxqI6qqqOq6qyqOqqaM3enTJiGf-C_pMhu0w</recordid><startdate>20231127</startdate><enddate>20231127</enddate><creator>Zurita, Jeannete</creator><creator>Sevillano, Gabriela</creator><creator>Solis, Maria Belen</creator><creator>Miño, Ariane Paz y</creator><creator>Alves, Beatriz Rizkallah</creator><general>Oxford University Press</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20231127</creationdate><title>2180. Pseudomonas aeruginosa epidemic high-risk clones and their association with multidrug-resistant</title><author>Zurita, Jeannete ; Sevillano, Gabriela ; Solis, Maria Belen ; Miño, Ariane Paz y ; Alves, Beatriz Rizkallah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1702-ca06ec4b01ed36818c6c90df8b226365874b8da9d9bfdbf197882a31e3db2c2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zurita, Jeannete</creatorcontrib><creatorcontrib>Sevillano, Gabriela</creatorcontrib><creatorcontrib>Solis, Maria Belen</creatorcontrib><creatorcontrib>Miño, Ariane Paz y</creatorcontrib><creatorcontrib>Alves, Beatriz Rizkallah</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>CrossRef</collection><jtitle>Open forum infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zurita, Jeannete</au><au>Sevillano, Gabriela</au><au>Solis, Maria Belen</au><au>Miño, Ariane Paz y</au><au>Alves, Beatriz Rizkallah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>2180. Pseudomonas aeruginosa epidemic high-risk clones and their association with multidrug-resistant</atitle><jtitle>Open forum infectious diseases</jtitle><date>2023-11-27</date><risdate>2023</risdate><volume>10</volume><issue>Supplement_2</issue><issn>2328-8957</issn><eissn>2328-8957</eissn><abstract>Abstract Background Pseudomonas aeruginosa (PAE) is an opportunistic pathogen associated with a variety of hospital infections. Treatment of infections caused by PAE is challenging due to the emergence of multidrug-resistant (MDR), which is associated with increased morbidity, mortality, and healthcare costs. Clonal spread and the presence of resistance genes probably explain the successful propagation of MDR. In Ecuador, data on the molecular epidemiology, as well as circulating clones, are limited. Therefore, the objective of this study is to know the population structure of PAE by identifying clones in clinical samples in Quito-Ecuador. Methods A significant set (45) of randomly selected clinical PAE isolates, including multidrug and non-multidrug resistant isolates, were assigned to sequence types (STs) and compared them with their antibiotic susceptibility profile. The genetic diversity was assessed by applying the multilocus sequence typing (MLST) scheme (Figure 1) and the genetic relationships between different STs were corroborated by the phylogenetic neighbor-net network (Figure 2).Figure 1.Analysis of the allelic profiles using eBURST algorithm.Figure 2.Splits Tree showing the distribution of all the sequence types obtained for the clinical Pseudomonas aeruginosa isolates studied. The Splits Tree was based on the analysis of the allelic profiles of the acsA, aroE, guaA, mutL, nuoD, ppsA and trpE genes. Asterisk mark (*) indicates the MDR isolates Results The analysis of seven loci, acsA, aroE, guaA, mutL, nuoD, ppsA and trpE, identified 24 different ST and the most prevalent STs were ST-3750 and ST-253. A SplitsTree was constructed with all the isolates analyzed. The majority of the MDR isolates were included in ST-3750 and ST-253, also 3 singleton ST was identified in to MDR isolates. The 20 different ST was found to non-MDR isolates, and only 3 ST were found in more the one isolates. Conclusion The population structure of clinical PAE presents in these isolates indicate a significant association between MDR isolates and the clonal types: all ST-3750 and ST-253 isolates were MDR. ST-3750 is closely related strains to the ST111 (CC111), and ST-253 and ST111 are a group of successful high-risk clones and widely distributed worldwide. The multiresistant-isolates studied are grouped in the most prevalent sequence types found, and the susceptible isolates correspond mainly to singleton sequence types. Therefore, these high-risk clones and their association with multidrug resistance phenotypes are contributing to the spread of MDR in Quito-Ecuador. Disclosures Jeannete Zurita, n/a, Pfizer: Grant/Research Support</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/ofid/ofad500.1802</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2328-8957
ispartof Open forum infectious diseases, 2023-11, Vol.10 (Supplement_2)
issn 2328-8957
2328-8957
language eng
recordid cdi_crossref_primary_10_1093_ofid_ofad500_1802
source Oxford Journals Open Access Collection; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
title 2180. Pseudomonas aeruginosa epidemic high-risk clones and their association with multidrug-resistant
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T13%3A23%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-oup_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=2180.%20Pseudomonas%20aeruginosa%20epidemic%20high-risk%20clones%20and%20their%20association%20with%20multidrug-resistant&rft.jtitle=Open%20forum%20infectious%20diseases&rft.au=Zurita,%20Jeannete&rft.date=2023-11-27&rft.volume=10&rft.issue=Supplement_2&rft.issn=2328-8957&rft.eissn=2328-8957&rft_id=info:doi/10.1093/ofid/ofad500.1802&rft_dat=%3Coup_cross%3E10.1093/ofid/ofad500.1802%3C/oup_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_oup_id=10.1093/ofid/ofad500.1802&rfr_iscdi=true