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...
- 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
id |
UNBOSQUE2_2e9673f5cf1dd1c88173abf2b30a7016 |
---|---|
oai_identifier_str |
oai:repositorio.unbosque.edu.co:20.500.12495/3517 |
network_acronym_str |
UNBOSQUE2 |
network_name_str |
Repositorio U. El Bosque |
repository_id_str |
|
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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.local.none.fl_str_mv |
Artículo de revista |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
http://purl.org/coar/resource_type/c_6501 |
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 info:eu-repo/semantics/openAccess Acceso abierto |
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 |
bitstream.url.fl_str_mv |
https://repositorio.unbosque.edu.co/bitstreams/642a7375-bd14-4fe5-ba19-eac9aa8bc904/download https://repositorio.unbosque.edu.co/bitstreams/66eb67e4-3220-4304-ac2e-c70f435b6740/download https://repositorio.unbosque.edu.co/bitstreams/73662456-76ab-480b-b5b0-85f7f074e73b/download https://repositorio.unbosque.edu.co/bitstreams/1274d2c2-dc04-4ea7-8144-2e0d87a6c033/download |
bitstream.checksum.fl_str_mv |
f9608663e09287242ed2e7ff274d32fe 8a4605be74aa9ea9d79846c1fba20a33 7210a811635d1799e7c05fee5d259be7 41eff4c3a7506f4262c95b5969ce9169 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad El Bosque |
repository.mail.fl_str_mv |
bibliotecas@biteca.com |
_version_ |
1814100846490681344 |
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.comTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= |