Molecular characterization of multidrug resistant hospital isolates using the antimicrobial resistance determinant microarray
Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the spread of antibiotic resistance. In this study, we describe the use of the Antimicrobial Resistance Determinant Microarray (ARDM) that targets...
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Published in | PloS one Vol. 8; no. 7; p. e69507 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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25.07.2013
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Abstract | Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the spread of antibiotic resistance. In this study, we describe the use of the Antimicrobial Resistance Determinant Microarray (ARDM) that targets 239 unique genes that confer resistance to 12 classes of antimicrobial compounds, quaternary amines and streptothricin for the determination of multidrug resistance (MDR) gene profiles. Fourteen reference MDR strains, which either were genome, sequenced or possessed well characterized drug resistance profiles were used to optimize detection algorithms and threshold criteria to ensure the microarray's effectiveness for unbiased characterization of antimicrobial resistance determinants in MDR strains. The subsequent testing of Acinetobacter baumannii, Escherichia coli and Klebsiella pneumoniae hospital isolates revealed the presence of several antibiotic resistance genes [e.g. belonging to TEM, SHV, OXA and CTX-M classes (and OXA and CTX-M subfamilies) of β-lactamases] and their assemblages which were confirmed by PCR and DNA sequence analysis. When combined with results from the reference strains, ~25% of the ARDM content was confirmed as effective for representing allelic content from both Gram-positive and -negative species. Taken together, the ARDM identified MDR assemblages containing six to 18 unique resistance genes in each strain tested, demonstrating its utility as a powerful tool for molecular epidemiological investigations of antimicrobial resistance in clinically relevant bacterial pathogens. |
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AbstractList | Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the spread of antibiotic resistance. In this study, we describe the use of the Antimicrobial Resistance Determinant Microarray (ARDM) that targets 239 unique genes that confer resistance to 12 classes of antimicrobial compounds, quaternary amines and streptothricin for the determination of multidrug resistance (MDR) gene profiles. Fourteen reference MDR strains, which either were genome, sequenced or possessed well characterized drug resistance profiles were used to optimize detection algorithms and threshold criteria to ensure the microarray's effectiveness for unbiased characterization of antimicrobial resistance determinants in MDR strains. The subsequent testing of Acinetobacter baumannii, Escherichia coli and Klebsiella pneumoniae hospital isolates revealed the presence of several antibiotic resistance genes [e.g. belonging to TEM, SHV, OXA and CTX-M classes (and OXA and CTX-M subfamilies) of β-lactamases] and their assemblages which were confirmed by PCR and DNA sequence analysis. When combined with results from the reference strains, ∼25% of the ARDM content was confirmed as effective for representing allelic content from both Gram-positive and –negative species. Taken together, the ARDM identified MDR assemblages containing six to 18 unique resistance genes in each strain tested, demonstrating its utility as a powerful tool for molecular epidemiological investigations of antimicrobial resistance in clinically relevant bacterial pathogens. Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the spread of antibiotic resistance. In this study, we describe the use of the Antimicrobial Resistance Determinant Microarray (ARDM) that targets 239 unique genes that confer resistance to 12 classes of antimicrobial compounds, quaternary amines and streptothricin for the determination of multidrug resistance (MDR) gene profiles. Fourteen reference MDR strains, which either were genome, sequenced or possessed well characterized drug resistance profiles were used to optimize detection algorithms and threshold criteria to ensure the microarray's effectiveness for unbiased characterization of antimicrobial resistance determinants in MDR strains. The subsequent testing of Acinetobacter baumannii, Escherichia coli and Klebsiella pneumoniae hospital isolates revealed the presence of several antibiotic resistance genes [e.g. belonging to TEM, SHV, OXA and CTX-M classes (and OXA and CTX-M subfamilies) of β-lactamases] and their assemblages which were confirmed by PCR and DNA sequence analysis. When combined with results from the reference strains, ~25% of the ARDM content was confirmed as effective for representing allelic content from both Gram-positive and -negative species. Taken together, the ARDM identified MDR assemblages containing six to 18 unique resistance genes in each strain tested, demonstrating its utility as a powerful tool for molecular epidemiological investigations of antimicrobial resistance in clinically relevant bacterial pathogens. Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the spread of antibiotic resistance. In this study, we describe the use of the Antimicrobial Resistance Determinant Microarray (ARDM) that targets 239 unique genes that confer resistance to 12 classes of antimicrobial compounds, quaternary amines and streptothricin for the determination of multidrug resistance (MDR) gene profiles. Fourteen reference MDR strains, which either were genome, sequenced or possessed well characterized drug resistance profiles were used to optimize detection algorithms and threshold criteria to ensure the microarray's effectiveness for unbiased characterization of antimicrobial resistance determinants in MDR strains. The subsequent testing of Acinetobacter baumannii , Escherichia coli and Klebsiella pneumoniae hospital isolates revealed the presence of several antibiotic resistance genes [e.g. belonging to TEM, SHV, OXA and CTX-M classes (and OXA and CTX-M subfamilies) of β-lactamases] and their assemblages which were confirmed by PCR and DNA sequence analysis. When combined with results from the reference strains, ∼25% of the ARDM content was confirmed as effective for representing allelic content from both Gram-positive and –negative species. Taken together, the ARDM identified MDR assemblages containing six to 18 unique resistance genes in each strain tested, demonstrating its utility as a powerful tool for molecular epidemiological investigations of antimicrobial resistance in clinically relevant bacterial pathogens. Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the spread of antibiotic resistance. In this study, we describe the use of the Antimicrobial Resistance Determinant Microarray (ARDM) that targets 239 unique genes that confer resistance to 12 classes of antimicrobial compounds, quaternary amines and streptothricin for the determination of multidrug resistance (MDR) gene profiles. Fourteen reference MDR strains, which either were genome, sequenced or possessed well characterized drug resistance profiles were used to optimize detection algorithms and threshold criteria to ensure the microarray's effectiveness for unbiased characterization of antimicrobial resistance determinants in MDR strains. The subsequent testing of Acinetobacter baumannii, Escherichia coli and Klebsiella pneumoniae hospital isolates revealed the presence of several antibiotic resistance genes [e.g. belonging to TEM, SHV, OXA and CTX-M classes (and OXA and CTX-M subfamilies) of [beta]-lactamases] and their assemblages which were confirmed by PCR and DNA sequence analysis. When combined with results from the reference strains, ~25% of the ARDM content was confirmed as effective for representing allelic content from both Gram-positive and -negative species. Taken together, the ARDM identified MDR assemblages containing six to 18 unique resistance genes in each strain tested, demonstrating its utility as a powerful tool for molecular epidemiological investigations of antimicrobial resistance in clinically relevant bacterial pathogens. |
Audience | Academic |
Author | Pimentel, Guillermo Nicklasson, Matilda House, Brent L Barrows, Brian R Taitt, Chris Rowe Wasfy, Momtaz Abdel-Maksoud, Mohamed Leski, Tomasz A Vora, Gary J |
AuthorAffiliation | 1 Center for Bio/Molecular Science and Engineering, US Naval Research Laboratory, Washington, D.C., United States of America 2 National Research Council Postdoctoral Associate at US Naval Research Laboratory, Washington, D.C., United States of America University of Malaya, Malaysia 3 US Naval Medical Research Unit No. 3, Cairo, Egypt |
AuthorAffiliation_xml | – name: University of Malaya, Malaysia – name: 3 US Naval Medical Research Unit No. 3, Cairo, Egypt – name: 1 Center for Bio/Molecular Science and Engineering, US Naval Research Laboratory, Washington, D.C., United States of America – name: 2 National Research Council Postdoctoral Associate at US Naval Research Laboratory, Washington, D.C., United States of America |
Author_xml | – sequence: 1 givenname: Tomasz A surname: Leski fullname: Leski, Tomasz A organization: Center for Bio/Molecular Science and Engineering, US Naval Research Laboratory, Washington, DC, United States of America – sequence: 2 givenname: Gary J surname: Vora fullname: Vora, Gary J – sequence: 3 givenname: Brian R surname: Barrows fullname: Barrows, Brian R – sequence: 4 givenname: Guillermo surname: Pimentel fullname: Pimentel, Guillermo – sequence: 5 givenname: Brent L surname: House fullname: House, Brent L – sequence: 6 givenname: Matilda surname: Nicklasson fullname: Nicklasson, Matilda – sequence: 7 givenname: Momtaz surname: Wasfy fullname: Wasfy, Momtaz – sequence: 8 givenname: Mohamed surname: Abdel-Maksoud fullname: Abdel-Maksoud, Mohamed – sequence: 9 givenname: Chris Rowe surname: Taitt fullname: Taitt, Chris Rowe |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23936031$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Current address: US Naval Medical Research Center-Frederick, Fort Detrick, Maryland, United States of America Current address: Agricultural Research Service, US Department of Agriculture, Beltsville, Maryland, United States of America Current address: University of Gothenburg, Göteborg, Sweden Conceived and designed the experiments: TAL GJV CRT GP. Performed the experiments: TAL GJV CRT BRB BLH MN MW MAM. Analyzed the data: TAL GJV CRT GP. Contributed reagents/materials/analysis tools: TAL GJV CRT BRB BLH MN MW MAM. Wrote the paper: TAL GJV CRT. Designed the software used in analysis: TAL. |
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Snippet | Molecular methods that enable the detection of antimicrobial resistance determinants are critical surveillance tools that are necessary to aid in curbing the... |
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SubjectTerms | Acinetobacter baumannii Acinetobacter baumannii - drug effects Acinetobacter baumannii - enzymology Acinetobacter baumannii - genetics Acinetobacter baumannii - isolation & purification Acinetobacter Infections - drug therapy Acinetobacter Infections - epidemiology Acinetobacter Infections - microbiology Algorithms Amines Analysis Anti-Bacterial Agents - pharmacology Antibiotic resistance Antibiotics Antiinfectives and antibacterials Antimicrobial agents Antimicrobial resistance Bacteria beta-Lactamases - genetics beta-Lactamases - metabolism Biology Deoxyribonucleic acid Determinants DNA DNA microarrays DNA sequencing DNA, Bacterial - analysis DNA, Bacterial - genetics Drug resistance Drug Resistance, Multiple, Bacterial - genetics E coli Egypt - epidemiology Enterobacteriaceae Enterococcus faecalis Epidemiology Escherichia coli Escherichia coli - drug effects Escherichia coli - enzymology Escherichia coli - genetics Escherichia coli - isolation & purification Escherichia coli Infections - drug therapy Escherichia coli Infections - epidemiology Escherichia coli Infections - microbiology Evolution Genes Genomes Genomics Humans Klebsiella Klebsiella Infections - drug therapy Klebsiella Infections - epidemiology Klebsiella Infections - microbiology Klebsiella pneumoniae Klebsiella pneumoniae - drug effects Klebsiella pneumoniae - enzymology Klebsiella pneumoniae - genetics Klebsiella pneumoniae - isolation & purification Laboratories Medical research Medicine Microbial drug resistance Multidrug resistance Multidrug resistant organisms Nucleotide sequence Oligonucleotide Array Sequence Analysis - methods Polymerase Chain Reaction Quaternary Sequence Analysis, DNA Staphylococcus aureus Staphylococcus epidermidis Staphylococcus infections Strains (organisms) Streptothricin Urogenital system |
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Title | Molecular characterization of multidrug resistant hospital isolates using the antimicrobial resistance determinant microarray |
URI | https://www.ncbi.nlm.nih.gov/pubmed/23936031 https://www.proquest.com/docview/1427813851/abstract/ https://search.proquest.com/docview/1420160964 https://pubmed.ncbi.nlm.nih.gov/PMC3723915 https://doaj.org/article/4d740ce2f1f54697ba6fe1b583ab8e1b http://dx.doi.org/10.1371/journal.pone.0069507 |
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