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High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate

Multi-drug-resistance (MDR) is a severe public health concern worldwide, and its containment is more challenging in developing countries due to poor antimicrobial resistance (AMR) surveillance and irrational use of antibiotics. The current study investigated 100 clinical E. coli isolates and reveale...

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Autores principales: Jain, Preeti, Bepari, Asim Kumar, Sen, Prosengit Kumer, Rafe, Tanzir, Imtiaz, Rashed, Hossain, Maqsud, Reza, Hasan Mahmud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613203/
https://www.ncbi.nlm.nih.gov/pubmed/34819576
http://dx.doi.org/10.1038/s41598-021-02251-w
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author Jain, Preeti
Bepari, Asim Kumar
Sen, Prosengit Kumer
Rafe, Tanzir
Imtiaz, Rashed
Hossain, Maqsud
Reza, Hasan Mahmud
author_facet Jain, Preeti
Bepari, Asim Kumar
Sen, Prosengit Kumer
Rafe, Tanzir
Imtiaz, Rashed
Hossain, Maqsud
Reza, Hasan Mahmud
author_sort Jain, Preeti
collection PubMed
description Multi-drug-resistance (MDR) is a severe public health concern worldwide, and its containment is more challenging in developing countries due to poor antimicrobial resistance (AMR) surveillance and irrational use of antibiotics. The current study investigated 100 clinical E. coli isolates and revealed that 98% of them were MDR. PCR analysis using 25 selected isolates showed the predominance of metallo-β-lactamase gene bla(NDM) (80%) and ESBL genes bla(OXA) (48%) and bla(CTX-M-15) (32%). The AmpC gene was detected in 68% of the isolates, while 32% was tetC positive. Notably, 34% of the isolates were resistant to carbapenem. Whole genome sequence (WGS) analysis of an extensively drug-resistant (XDR) isolate (L16) revealed the presence of the notorious sequence type 131 responsible for multi-drug-resistant infections, multiple antibiotic resistance genes (ARGs), virulence genes, and mobile genetic elements that pose risks to environmental transmission. Our results indicate that MDR is alarmingly increasing in Bangladesh that critically limits the treatment option against infections and contributes to further aggravation to the prevailing situation of MDR worldwide. The findings of this study will be valuable in designing sustainable strategies to contain MDR in the region.
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spelling pubmed-86132032021-11-26 High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate Jain, Preeti Bepari, Asim Kumar Sen, Prosengit Kumer Rafe, Tanzir Imtiaz, Rashed Hossain, Maqsud Reza, Hasan Mahmud Sci Rep Article Multi-drug-resistance (MDR) is a severe public health concern worldwide, and its containment is more challenging in developing countries due to poor antimicrobial resistance (AMR) surveillance and irrational use of antibiotics. The current study investigated 100 clinical E. coli isolates and revealed that 98% of them were MDR. PCR analysis using 25 selected isolates showed the predominance of metallo-β-lactamase gene bla(NDM) (80%) and ESBL genes bla(OXA) (48%) and bla(CTX-M-15) (32%). The AmpC gene was detected in 68% of the isolates, while 32% was tetC positive. Notably, 34% of the isolates were resistant to carbapenem. Whole genome sequence (WGS) analysis of an extensively drug-resistant (XDR) isolate (L16) revealed the presence of the notorious sequence type 131 responsible for multi-drug-resistant infections, multiple antibiotic resistance genes (ARGs), virulence genes, and mobile genetic elements that pose risks to environmental transmission. Our results indicate that MDR is alarmingly increasing in Bangladesh that critically limits the treatment option against infections and contributes to further aggravation to the prevailing situation of MDR worldwide. The findings of this study will be valuable in designing sustainable strategies to contain MDR in the region. Nature Publishing Group UK 2021-11-24 /pmc/articles/PMC8613203/ /pubmed/34819576 http://dx.doi.org/10.1038/s41598-021-02251-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jain, Preeti
Bepari, Asim Kumar
Sen, Prosengit Kumer
Rafe, Tanzir
Imtiaz, Rashed
Hossain, Maqsud
Reza, Hasan Mahmud
High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate
title High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate
title_full High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate
title_fullStr High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate
title_full_unstemmed High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate
title_short High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate
title_sort high prevalence of multiple antibiotic resistance in clinical e. coli isolates from bangladesh and prediction of molecular resistance determinants using wgs of an xdr isolate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613203/
https://www.ncbi.nlm.nih.gov/pubmed/34819576
http://dx.doi.org/10.1038/s41598-021-02251-w
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