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849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns

BACKGROUND: Klebsiella pneumoniae is among the leading causes of healthcare-associated infections (HAI). Multidrug-resistant (MDR) Klebsiella variants are difficult to treat and have been reported with increasing frequency in hospitals. Whole genome multi-locus sequence typing (wg-MLST) of K. pneumo...

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Autores principales: Beaver, Ryan, Choi, Hosoon, Jinadatha, Chetan, Kaye, Keith S, Chatterjee, Piyali, Allton, Yonhui, Stibich, Mark, Kilgore, Paul E, Dhar, Sorabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776546/
http://dx.doi.org/10.1093/ofid/ofaa439.1038
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author Beaver, Ryan
Choi, Hosoon
Jinadatha, Chetan
Kaye, Keith S
Chatterjee, Piyali
Allton, Yonhui
Stibich, Mark
Kilgore, Paul E
Dhar, Sorabh
author_facet Beaver, Ryan
Choi, Hosoon
Jinadatha, Chetan
Kaye, Keith S
Chatterjee, Piyali
Allton, Yonhui
Stibich, Mark
Kilgore, Paul E
Dhar, Sorabh
author_sort Beaver, Ryan
collection PubMed
description BACKGROUND: Klebsiella pneumoniae is among the leading causes of healthcare-associated infections (HAI). Multidrug-resistant (MDR) Klebsiella variants are difficult to treat and have been reported with increasing frequency in hospitals. Whole genome multi-locus sequence typing (wg-MLST) of K. pneumoniae HAI isolates was used to compare antibiotic resistance genetic patterns against epidemiologic typing. Figure 1. Prevalence of ABX resistance genes for each drug class. [Image: see text] Figure 2. Prevalence of ABX resistance genes by hospital. [Image: see text] METHODS: Forty-six clinical bacterial HAI isolates were collected from patients admitted to two disparate tertiary care hospitals in Detroit, Michigan between 2017 and 2019. Data output from wg-MLST was de novo assembled using SPAdes (version 3.7.1) assembler on the Bionumerics calculation engine. Minimum spanning tree (MST) analysis categorized isolates into unique MLST Pasteur serotypes (ST). Antimicrobial resistance genes and/or chromosomal mutations were identified using the ResFinder Database (version 3.2). K. pneumoniae isolates were compared for antibiotic-resistance patterns by hospital, unit, and ST. Figure 3. Hospital 1 clusters and strains that detected gene qnr1, arranged by unit for visual comparison. [Image: see text] Figure 4. Sample of clinically significant genes and prevalence, excluding SHV family of genes for simplicity. [Image: see text] RESULTS: There was significant genetic diversity among the isolates, and no predominant strain was identified. MST analysis revealed 17 unique strains. Only six strains had genetically unique resistance genes detected in more than one isolate, and only three of six were hospital-specific; none were unit-specific. Out of the 75 unique resistance genes detected, only 8 genes had a prevalence >50%: oqxA (100%), oqxB (100%), fosA (89%), blaCTX-M-15 (76%), aac(6’)-Ib-cr (61%), blaTEM-1B (52%), blaOXA-1 (52%), and catB3 (52%). No colistin resistance genes were detected. Of the remaining 69 low-prevalence resistance genes, only 8 hospital-specific genes were detected in more than one isolate (qnrB1, blaSHV-1, blaSHV-110, ac(6’)-Ib3, blaCTX-M-3, blaSHV-36, blaSHV-80, blaSHV-178) with a prevalence range of 4%-22%. CONCLUSION: Our genetic analysis of antibiotic resistance patterns and wg-MLST revealed significant heterogeneity among the isolates, indicating no common source of transmission for either hospital. Although K. pneumoniae is a very common nosocomial pathogen, etiologic analysis suggests diverse community strains (e.g., gut colonization) may actually be responsible for previously-designated HAI. DISCLOSURES: Chetan Jinadatha, MD, MPH, AHRQ (Research Grant or Support)Department of Veterans Affairs (Other Financial or Material Support, Owner: Department of Veterans Affairs. Licensed to: Xenex Disinfection System, San Antonio, TX)Inventor (Other Financial or Material Support, Methods for organizing the disinfection of one or more items contaminated with biological agents)NiH/NINR (Research Grant or Support)NSF (Research Grant or Support)Xenex Healthcare Services (Research Grant or Support) Mark Stibich, PhD MHS, Xenex Disinfection Services, Inc (Board Member, Employee)
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spelling pubmed-77765462021-01-07 849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns Beaver, Ryan Choi, Hosoon Jinadatha, Chetan Kaye, Keith S Chatterjee, Piyali Allton, Yonhui Stibich, Mark Kilgore, Paul E Dhar, Sorabh Open Forum Infect Dis Poster Abstracts BACKGROUND: Klebsiella pneumoniae is among the leading causes of healthcare-associated infections (HAI). Multidrug-resistant (MDR) Klebsiella variants are difficult to treat and have been reported with increasing frequency in hospitals. Whole genome multi-locus sequence typing (wg-MLST) of K. pneumoniae HAI isolates was used to compare antibiotic resistance genetic patterns against epidemiologic typing. Figure 1. Prevalence of ABX resistance genes for each drug class. [Image: see text] Figure 2. Prevalence of ABX resistance genes by hospital. [Image: see text] METHODS: Forty-six clinical bacterial HAI isolates were collected from patients admitted to two disparate tertiary care hospitals in Detroit, Michigan between 2017 and 2019. Data output from wg-MLST was de novo assembled using SPAdes (version 3.7.1) assembler on the Bionumerics calculation engine. Minimum spanning tree (MST) analysis categorized isolates into unique MLST Pasteur serotypes (ST). Antimicrobial resistance genes and/or chromosomal mutations were identified using the ResFinder Database (version 3.2). K. pneumoniae isolates were compared for antibiotic-resistance patterns by hospital, unit, and ST. Figure 3. Hospital 1 clusters and strains that detected gene qnr1, arranged by unit for visual comparison. [Image: see text] Figure 4. Sample of clinically significant genes and prevalence, excluding SHV family of genes for simplicity. [Image: see text] RESULTS: There was significant genetic diversity among the isolates, and no predominant strain was identified. MST analysis revealed 17 unique strains. Only six strains had genetically unique resistance genes detected in more than one isolate, and only three of six were hospital-specific; none were unit-specific. Out of the 75 unique resistance genes detected, only 8 genes had a prevalence >50%: oqxA (100%), oqxB (100%), fosA (89%), blaCTX-M-15 (76%), aac(6’)-Ib-cr (61%), blaTEM-1B (52%), blaOXA-1 (52%), and catB3 (52%). No colistin resistance genes were detected. Of the remaining 69 low-prevalence resistance genes, only 8 hospital-specific genes were detected in more than one isolate (qnrB1, blaSHV-1, blaSHV-110, ac(6’)-Ib3, blaCTX-M-3, blaSHV-36, blaSHV-80, blaSHV-178) with a prevalence range of 4%-22%. CONCLUSION: Our genetic analysis of antibiotic resistance patterns and wg-MLST revealed significant heterogeneity among the isolates, indicating no common source of transmission for either hospital. Although K. pneumoniae is a very common nosocomial pathogen, etiologic analysis suggests diverse community strains (e.g., gut colonization) may actually be responsible for previously-designated HAI. DISCLOSURES: Chetan Jinadatha, MD, MPH, AHRQ (Research Grant or Support)Department of Veterans Affairs (Other Financial or Material Support, Owner: Department of Veterans Affairs. Licensed to: Xenex Disinfection System, San Antonio, TX)Inventor (Other Financial or Material Support, Methods for organizing the disinfection of one or more items contaminated with biological agents)NiH/NINR (Research Grant or Support)NSF (Research Grant or Support)Xenex Healthcare Services (Research Grant or Support) Mark Stibich, PhD MHS, Xenex Disinfection Services, Inc (Board Member, Employee) Oxford University Press 2020-12-31 /pmc/articles/PMC7776546/ http://dx.doi.org/10.1093/ofid/ofaa439.1038 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Abstracts
Beaver, Ryan
Choi, Hosoon
Jinadatha, Chetan
Kaye, Keith S
Chatterjee, Piyali
Allton, Yonhui
Stibich, Mark
Kilgore, Paul E
Dhar, Sorabh
849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns
title 849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns
title_full 849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns
title_fullStr 849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns
title_full_unstemmed 849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns
title_short 849. Whole Genome Sequencing Analysis of Klebsiella pneumoniae Isolates Reveals Diversity in Genetic Antibiotic Resistance Patterns
title_sort 849. whole genome sequencing analysis of klebsiella pneumoniae isolates reveals diversity in genetic antibiotic resistance patterns
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776546/
http://dx.doi.org/10.1093/ofid/ofaa439.1038
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