Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens

Background There is marked interest in using DNA-based methods to detect antimicrobial resistance (AMR), with targeted polymerase chain reaction (PCR) approaches increasingly being incorporated into clinical care. Whole-genome sequencing (WGS) could offer significant advantages over targeted PCR for...

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Autores:
Shelburne, Samuel A.
Kim, Jiwoong
Munita, Jose M.
Sahasrabhojane, Pranoti V.
Shields, Ryan K.
Press, Ellen G.
Li, Xiqi
Arias, César A.
Cantarel, Brandi L.
Jiang, Ying
Kim, Min S .
Aitken, Samuel
Greenberg, David
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/3517
Acceso en línea:
http://hdl.handle.net/20.500.12495/3517
https://doi.org/10.1093/cid/cix417
https://repositorio.unbosque.edu.co
Palabra clave:
ADN Polimerasa dirigida por ADN
Secuenciación completa del genoma
Pruebas de sensibilidad microbiana
Antimicrobial resistance
Whole-genome sequencing
Gram-negative bacteria
Rights
openAccess
License
Acceso abierto
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dc.title.spa.fl_str_mv Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
dc.title.translated.spa.fl_str_mv Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
title Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
spellingShingle Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
ADN Polimerasa dirigida por ADN
Secuenciación completa del genoma
Pruebas de sensibilidad microbiana
Antimicrobial resistance
Whole-genome sequencing
Gram-negative bacteria
title_short Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
title_full Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
title_fullStr Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
title_full_unstemmed Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
title_sort Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogens
dc.creator.fl_str_mv Shelburne, Samuel A.
Kim, Jiwoong
Munita, Jose M.
Sahasrabhojane, Pranoti V.
Shields, Ryan K.
Press, Ellen G.
Li, Xiqi
Arias, César A.
Cantarel, Brandi L.
Jiang, Ying
Kim, Min S .
Aitken, Samuel
Greenberg, David
dc.contributor.author.none.fl_str_mv Shelburne, Samuel A.
Kim, Jiwoong
Munita, Jose M.
Sahasrabhojane, Pranoti V.
Shields, Ryan K.
Press, Ellen G.
Li, Xiqi
Arias, César A.
Cantarel, Brandi L.
Jiang, Ying
Kim, Min S .
Aitken, Samuel
Greenberg, David
dc.subject.decs.spa.fl_str_mv ADN Polimerasa dirigida por ADN
Secuenciación completa del genoma
Pruebas de sensibilidad microbiana
topic ADN Polimerasa dirigida por ADN
Secuenciación completa del genoma
Pruebas de sensibilidad microbiana
Antimicrobial resistance
Whole-genome sequencing
Gram-negative bacteria
dc.subject.keywords.spa.fl_str_mv Antimicrobial resistance
Whole-genome sequencing
Gram-negative bacteria
description Background There is marked interest in using DNA-based methods to detect antimicrobial resistance (AMR), with targeted polymerase chain reaction (PCR) approaches increasingly being incorporated into clinical care. Whole-genome sequencing (WGS) could offer significant advantages over targeted PCR for AMR detection, particularly for species where mutations are major drivers of AMR. Methods Illumina MiSeq WGS and broth microdilution (BMD) assays were performed on 90 bloodstream isolates of the 4 most common gram-negative bacteria causing bloodstream infections in neutropenic patients. The WGS data, including both gene presence/absence and detection of mutations in an array of AMR-relevant genes, were used to predict resistance to 4 β-lactams commonly used in the empiric treatment of neutropenic fever. The genotypic predictions were then compared to phenotypic resistance as determined by BMD and by commercial methods during routine patient care. Results Of 133 putative instances of resistance to the β-lactams of interest identified by WGS, only 87 (65%) would have been detected by a typical PCR-based approach. The sensitivity, specificity, and positive and negative predictive values for WGS in predicting AMR were 0.87, 0.98, 0.97, and 0.91, respectively. Using BMD as the gold standard, our genotypic resistance prediction approach had a significantly higher positive predictive value compared to minimum inhibitory concentrations generated by commercial methods (0.97 vs 0.92; P = .025). Conclusions These data demonstrate the potential feasibility of using WGS to guide antibiotic treatment decisions for patients with life-threatening infections for an array of medically important pathogens.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-07-15T22:53:51Z
dc.date.available.none.fl_str_mv 2020-07-15T22:53:51Z
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dc.type.local.none.fl_str_mv Artículo de revista
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dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 1537-6591
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12495/3517
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1093/cid/cix417
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv https://repositorio.unbosque.edu.co
identifier_str_mv 1537-6591
instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
url http://hdl.handle.net/20.500.12495/3517
https://doi.org/10.1093/cid/cix417
https://repositorio.unbosque.edu.co
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.spa.fl_str_mv Clinical infectious diseases, 1537-6591, Vol. 65, Nro. 5. 2017, p. 738-745
dc.relation.uri.none.fl_str_mv https://academic.oup.com/cid/article/65/5/738/3792170
dc.rights.local.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
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dc.rights.creativecommons.none.fl_str_mv 2017-05-03
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
2017-05-03
eu_rights_str_mv openAccess
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Oxford University Press
dc.publisher.journal.spa.fl_str_mv Clinical infectious diseases
institution Universidad El Bosque
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spelling Shelburne, Samuel A.Kim, JiwoongMunita, Jose M.Sahasrabhojane, Pranoti V.Shields, Ryan K.Press, Ellen G.Li, XiqiArias, César A.Cantarel, Brandi L.Jiang, YingKim, Min S .Aitken, SamuelGreenberg, David2020-07-15T22:53:51Z2020-07-15T22:53:51Z1537-6591http://hdl.handle.net/20.500.12495/3517https://doi.org/10.1093/cid/cix417instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquehttps://repositorio.unbosque.edu.coapplication/pdfengOxford University PressClinical infectious diseasesClinical infectious diseases, 1537-6591, Vol. 65, Nro. 5. 2017, p. 738-745https://academic.oup.com/cid/article/65/5/738/3792170Whole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogensWhole-genome sequencing accurately identifies resistance to extended-spectrum β-lactams for major gram-negative bacterial pathogensArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85ADN Polimerasa dirigida por ADNSecuenciación completa del genomaPruebas de sensibilidad microbianaAntimicrobial resistanceWhole-genome sequencingGram-negative bacteriaBackground There is marked interest in using DNA-based methods to detect antimicrobial resistance (AMR), with targeted polymerase chain reaction (PCR) approaches increasingly being incorporated into clinical care. Whole-genome sequencing (WGS) could offer significant advantages over targeted PCR for AMR detection, particularly for species where mutations are major drivers of AMR. Methods Illumina MiSeq WGS and broth microdilution (BMD) assays were performed on 90 bloodstream isolates of the 4 most common gram-negative bacteria causing bloodstream infections in neutropenic patients. The WGS data, including both gene presence/absence and detection of mutations in an array of AMR-relevant genes, were used to predict resistance to 4 β-lactams commonly used in the empiric treatment of neutropenic fever. The genotypic predictions were then compared to phenotypic resistance as determined by BMD and by commercial methods during routine patient care. Results Of 133 putative instances of resistance to the β-lactams of interest identified by WGS, only 87 (65%) would have been detected by a typical PCR-based approach. The sensitivity, specificity, and positive and negative predictive values for WGS in predicting AMR were 0.87, 0.98, 0.97, and 0.91, respectively. Using BMD as the gold standard, our genotypic resistance prediction approach had a significantly higher positive predictive value compared to minimum inhibitory concentrations generated by commercial methods (0.97 vs 0.92; P = .025). Conclusions These data demonstrate the potential feasibility of using WGS to guide antibiotic treatment decisions for patients with life-threatening infections for an array of medically important pathogens.Acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAcceso abierto2017-05-03ORIGINALSamuel A Shelburne, Jiwoong Kim , Jose M Munita , Pranoti Sahasrabhojane _2017.pdfSamuel A Shelburne, Jiwoong Kim , Jose M Munita , Pranoti Sahasrabhojane _2017.pdfapplication/pdf456004https://repositorio.unbosque.edu.co/bitstreams/642a7375-bd14-4fe5-ba19-eac9aa8bc904/downloadf9608663e09287242ed2e7ff274d32feMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unbosque.edu.co/bitstreams/66eb67e4-3220-4304-ac2e-c70f435b6740/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILSamuel A Shelburne, Jiwoong Kim , Jose M Munita , Pranoti Sahasrabhojane _2017.pdf.jpgSamuel A Shelburne, Jiwoong Kim , Jose M Munita , Pranoti Sahasrabhojane _2017.pdf.jpgimage/jpeg5775https://repositorio.unbosque.edu.co/bitstreams/73662456-76ab-480b-b5b0-85f7f074e73b/download7210a811635d1799e7c05fee5d259be7MD53TEXTSamuel A Shelburne, Jiwoong Kim , Jose M Munita , Pranoti Sahasrabhojane _2017.pdf.txtSamuel A Shelburne, Jiwoong Kim , Jose M Munita , Pranoti Sahasrabhojane _2017.pdf.txtExtracted texttext/plain43813https://repositorio.unbosque.edu.co/bitstreams/1274d2c2-dc04-4ea7-8144-2e0d87a6c033/download41eff4c3a7506f4262c95b5969ce9169MD5420.500.12495/3517oai:repositorio.unbosque.edu.co:20.500.12495/35172024-02-07 13:32:34.991restrictedhttps://repositorio.unbosque.edu.coRepositorio Institucional Universidad El Bosquebibliotecas@biteca.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