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Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US

Antimicrobial resistance (AMR) has become an urgent public health issue, as pathogens are becoming increasingly resistant to commonly used antimicrobials. While AMR isolate data are available in the NCBI Pathogen Detection Isolates Browser (NPDIB) database, few researches have been performed to comp...

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Autores principales: Hua, Megan, Huang, William, Chen, Albert, Rehmet, Michael, Jin, Cade, Huang, Zuyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174961/
https://www.ncbi.nlm.nih.gov/pubmed/32351993
http://dx.doi.org/10.1155/2020/4254530
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author Hua, Megan
Huang, William
Chen, Albert
Rehmet, Michael
Jin, Cade
Huang, Zuyi
author_facet Hua, Megan
Huang, William
Chen, Albert
Rehmet, Michael
Jin, Cade
Huang, Zuyi
author_sort Hua, Megan
collection PubMed
description Antimicrobial resistance (AMR) has become an urgent public health issue, as pathogens are becoming increasingly resistant to commonly used antimicrobials. While AMR isolate data are available in the NCBI Pathogen Detection Isolates Browser (NPDIB) database, few researches have been performed to compare antimicrobial resistance detected in environmental and clinical isolates. To address this, this work conducted the first multivariate statistical analysis of antimicrobial-resistance pathogens detected in NPDIB clinical and environmental isolates for the US from 2013 to 2018. The highly occurring AMR genes and pathogens were identified for both clinical and environmental settings, and the historical profiles of those genes and pathogens were then compared for the two settings. It was found that Salmonella enterica and E. coli and Shigella were the highly occurring AMR pathogens for both settings. Additionally, the genes fosA, oqxB, ble, floR, fosA7, mcr-9.1, aadA1, aadA2, ant(2”)-Ia, aph(3”)-Ib, aph(3')-Ia, aph(6)-Id, blaTEM-1, qacEdelta1, sul1, sul2, tet(A), and tet(B) were mostly detected for both clinical and environmental settings. Ampicillin, ceftriaxone, gentamicin, tetracycline, and cefoxitin were the antimicrobials which got the most resistance in both settings. The historical profiles of these genes, pathogens, and antimicrobials indicated that higher occurrence frequencies generally took place earlier in the environmental setting than in the clinical setting.
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spelling pubmed-71749612020-04-29 Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US Hua, Megan Huang, William Chen, Albert Rehmet, Michael Jin, Cade Huang, Zuyi Biomed Res Int Research Article Antimicrobial resistance (AMR) has become an urgent public health issue, as pathogens are becoming increasingly resistant to commonly used antimicrobials. While AMR isolate data are available in the NCBI Pathogen Detection Isolates Browser (NPDIB) database, few researches have been performed to compare antimicrobial resistance detected in environmental and clinical isolates. To address this, this work conducted the first multivariate statistical analysis of antimicrobial-resistance pathogens detected in NPDIB clinical and environmental isolates for the US from 2013 to 2018. The highly occurring AMR genes and pathogens were identified for both clinical and environmental settings, and the historical profiles of those genes and pathogens were then compared for the two settings. It was found that Salmonella enterica and E. coli and Shigella were the highly occurring AMR pathogens for both settings. Additionally, the genes fosA, oqxB, ble, floR, fosA7, mcr-9.1, aadA1, aadA2, ant(2”)-Ia, aph(3”)-Ib, aph(3')-Ia, aph(6)-Id, blaTEM-1, qacEdelta1, sul1, sul2, tet(A), and tet(B) were mostly detected for both clinical and environmental settings. Ampicillin, ceftriaxone, gentamicin, tetracycline, and cefoxitin were the antimicrobials which got the most resistance in both settings. The historical profiles of these genes, pathogens, and antimicrobials indicated that higher occurrence frequencies generally took place earlier in the environmental setting than in the clinical setting. Hindawi 2020-04-11 /pmc/articles/PMC7174961/ /pubmed/32351993 http://dx.doi.org/10.1155/2020/4254530 Text en Copyright © 2020 Megan Hua et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hua, Megan
Huang, William
Chen, Albert
Rehmet, Michael
Jin, Cade
Huang, Zuyi
Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US
title Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US
title_full Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US
title_fullStr Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US
title_full_unstemmed Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US
title_short Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US
title_sort comparison of antimicrobial resistance detected in environmental and clinical isolates from historical data for the us
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174961/
https://www.ncbi.nlm.nih.gov/pubmed/32351993
http://dx.doi.org/10.1155/2020/4254530
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