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Effects of chronic exposure to arsenic on the fecal carriage of antibiotic-resistant Escherichia coli among people in rural Bangladesh

Antibiotic resistance is a leading cause of hospitalization and death worldwide. Heavy metals such as arsenic have been shown to drive co-selection of antibiotic resistance, suggesting arsenic-contaminated drinking water is a risk factor for antibiotic resistance carriage. This study aimed to determ...

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Published in:PLoS pathogens 2022-12, Vol.18 (12), p.e1010952
Main Authors: Amin, Mohammed Badrul, Talukdar, Prabhat Kumar, Asaduzzaman, Muhammad, Roy, Subarna, Flatgard, Brandon M, Islam, Md Rayhanul, Saha, Sumita Rani, Mahmud, Zahid Hayat, Navab-Daneshmand, Tala, Kile, Molly L, Levy, Karen, Julian, Timothy R, Islam, Mohammad Aminul
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cited_by cdi_FETCH-LOGICAL-c686t-a25d18705d078a91ee66152eebe7ecc1a906aab2fe712c38d9cf6f4e9c9e5dc23
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container_issue 12
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container_title PLoS pathogens
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creator Amin, Mohammed Badrul
Talukdar, Prabhat Kumar
Asaduzzaman, Muhammad
Roy, Subarna
Flatgard, Brandon M
Islam, Md Rayhanul
Saha, Sumita Rani
Mahmud, Zahid Hayat
Navab-Daneshmand, Tala
Kile, Molly L
Levy, Karen
Julian, Timothy R
Islam, Mohammad Aminul
description Antibiotic resistance is a leading cause of hospitalization and death worldwide. Heavy metals such as arsenic have been shown to drive co-selection of antibiotic resistance, suggesting arsenic-contaminated drinking water is a risk factor for antibiotic resistance carriage. This study aimed to determine the prevalence and abundance of antibiotic-resistant Escherichia coli (AR-Ec) among people and drinking water in high (Hajiganj, >100 μg/L) and low arsenic-contaminated (Matlab,
doi_str_mv 10.1371/journal.ppat.1010952
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Heavy metals such as arsenic have been shown to drive co-selection of antibiotic resistance, suggesting arsenic-contaminated drinking water is a risk factor for antibiotic resistance carriage. This study aimed to determine the prevalence and abundance of antibiotic-resistant Escherichia coli (AR-Ec) among people and drinking water in high (Hajiganj, >100 μg/L) and low arsenic-contaminated (Matlab, <20 μg/L) areas in Bangladesh. Drinking water and stool from mothers and their children (<1 year) were collected from 50 households per area. AR-Ec was detected via selective culture plating and isolates were tested for antibiotic resistance, arsenic resistance, and diarrheagenic genes by PCR. Whole-genome sequencing (WGS) analysis was done for 30 E. coli isolates from 10 households. Prevalence of AR-Ec was significantly higher in water in Hajiganj (48%) compared to water in Matlab (22%, p <0.05) and among children in Hajiganj (94%) compared to children in Matlab (76%, p <0.05), but not among mothers. A significantly higher proportion of E. coli isolates from Hajiganj were multidrug-resistant (83%) compared to isolates from Matlab (71%, p <0.05). Co-resistance to arsenic and multiple antibiotics (MAR index >0.2) was observed in a higher proportion of water (78%) and child stool (100%) isolates in Hajiganj than in water (57%) and children (89%) in Matlab (p <0.05). The odds of arsenic-resistant bacteria being resistant to third-generation cephalosporin antibiotics were higher compared to arsenic-sensitive bacteria (odds ratios, OR 1.2-7.0, p <0.01). WGS-based phylogenetic analysis of E. coli isolates did not reveal any clustering based on arsenic exposure and no significant difference in resistome was found among the isolates between the two areas. The positive association detected between arsenic exposure and antibiotic resistance carriage among children in arsenic-affected areas in Bangladesh is an important public health concern that warrants redoubling efforts to reduce arsenic exposure.]]></description><identifier>ISSN: 1553-7374</identifier><identifier>ISSN: 1553-7366</identifier><identifier>EISSN: 1553-7374</identifier><identifier>DOI: 10.1371/journal.ppat.1010952</identifier><identifier>PMID: 36480516</identifier><language>eng ; nor</language><publisher>United States: Public Library of Science</publisher><subject>Anti-Bacterial Agents - pharmacology ; Antibiotic resistance ; Antibiotics ; Antimicrobial agents ; Arsenic ; Arsenic - pharmacology ; Bacteria ; Bangladesh ; Biology and Life Sciences ; Cephalosporins ; Chi-square test ; Child ; Children ; Chronic exposure ; Clustering ; Drinking Water ; Drug resistance ; Drug resistance in microorganisms ; E coli ; Ecology and Environmental Sciences ; Escherichia coli ; Escherichia coli - genetics ; Escherichia coli infections ; Exposure ; Feces ; Gene sequencing ; Genomes ; Groundwater ; Health aspects ; Heavy metals ; Households ; Humans ; Matlab ; Medicine and Health Sciences ; Mothers ; Multidrug resistance ; Phylogeny ; Physical Sciences ; Public health ; Research and Analysis Methods ; Resistance factors ; Risk analysis ; Risk factors ; Rural population ; Statistics ; Water pollution ; Whole genome sequencing</subject><ispartof>PLoS pathogens, 2022-12, Vol.18 (12), p.e1010952</ispartof><rights>Copyright: © 2022 Amin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Amin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Heavy metals such as arsenic have been shown to drive co-selection of antibiotic resistance, suggesting arsenic-contaminated drinking water is a risk factor for antibiotic resistance carriage. This study aimed to determine the prevalence and abundance of antibiotic-resistant Escherichia coli (AR-Ec) among people and drinking water in high (Hajiganj, >100 μg/L) and low arsenic-contaminated (Matlab, <20 μg/L) areas in Bangladesh. Drinking water and stool from mothers and their children (<1 year) were collected from 50 households per area. AR-Ec was detected via selective culture plating and isolates were tested for antibiotic resistance, arsenic resistance, and diarrheagenic genes by PCR. Whole-genome sequencing (WGS) analysis was done for 30 E. coli isolates from 10 households. 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The positive association detected between arsenic exposure and antibiotic resistance carriage among children in arsenic-affected areas in Bangladesh is an important public health concern that warrants redoubling efforts to reduce arsenic exposure.]]></description><subject>Anti-Bacterial Agents - pharmacology</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Antimicrobial agents</subject><subject>Arsenic</subject><subject>Arsenic - pharmacology</subject><subject>Bacteria</subject><subject>Bangladesh</subject><subject>Biology and Life Sciences</subject><subject>Cephalosporins</subject><subject>Chi-square test</subject><subject>Child</subject><subject>Children</subject><subject>Chronic exposure</subject><subject>Clustering</subject><subject>Drinking Water</subject><subject>Drug resistance</subject><subject>Drug resistance in microorganisms</subject><subject>E coli</subject><subject>Ecology and Environmental Sciences</subject><subject>Escherichia coli</subject><subject>Escherichia coli - genetics</subject><subject>Escherichia coli infections</subject><subject>Exposure</subject><subject>Feces</subject><subject>Gene sequencing</subject><subject>Genomes</subject><subject>Groundwater</subject><subject>Health aspects</subject><subject>Heavy metals</subject><subject>Households</subject><subject>Humans</subject><subject>Matlab</subject><subject>Medicine and Health Sciences</subject><subject>Mothers</subject><subject>Multidrug resistance</subject><subject>Phylogeny</subject><subject>Physical Sciences</subject><subject>Public health</subject><subject>Research and Analysis Methods</subject><subject>Resistance factors</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Rural population</subject><subject>Statistics</subject><subject>Water pollution</subject><subject>Whole genome sequencing</subject><issn>1553-7374</issn><issn>1553-7366</issn><issn>1553-7374</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>3HK</sourceid><sourceid>DOA</sourceid><recordid>eNqVk11v0zAUhiMEYmPwDxBY4gYuWvwR28kN0pgKVJpA4uPaOnVOUk-pndkJGn-A341L22lFu0GREuv4eV_nvNYpiueMzpnQ7O1VmKKHfj4MMM4ZZbSW_EFxyqQUMy10-fDO-qR4ktIVpSUTTD0uToQqKyqZOi1-L9oW7ZhIaIldx-CdJXgzhDRFJGMgEBNua8GTcY0ks9ATCzE66HArAj-6lQujs7OIyaUxF8gi2TVGZ9cOiA29I7AJviMDhqFH4jyJU8w-78F3PTSY1k-LRy30CZ_tv2fFjw-L7xefZpdfPi4vzi9nVlVqnAGXDas0lQ3VFdQMUSkmOeIKNVrLoKYKYMVb1IxbUTW1bVVbYm1rlI3l4qx4ufMd-pDMPsJkuFZc5wipyMRyRzQBrswQ3QbiLxPAmb-FEDsDMXfbo5GWgsRGMiqgXNXVSislGDaVrm1TN5i93u1Pm1YbbCz6Mbd9ZHq8493adOGnqbVgpSyzAdkZ2JiTdd74EMEwWkme35SVdUZe78-I4XrCNJqNSxb7HjyGaduaFLxmnNOMvvoHvT-APdVB7tH5NuRfs1tTc64FL2klSpWp-T1UfhrcOBs8ti7XjwRvjgSZGfFm7GBKySy_ff0P9vMxWx4iCilFbG_jZdRsB-XQpNkOitkPSpa9uHs1t6LDZIg_8bUPKQ</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Amin, Mohammed Badrul</creator><creator>Talukdar, Prabhat Kumar</creator><creator>Asaduzzaman, Muhammad</creator><creator>Roy, Subarna</creator><creator>Flatgard, Brandon M</creator><creator>Islam, Md Rayhanul</creator><creator>Saha, Sumita Rani</creator><creator>Mahmud, Zahid Hayat</creator><creator>Navab-Daneshmand, Tala</creator><creator>Kile, Molly L</creator><creator>Levy, Karen</creator><creator>Julian, Timothy R</creator><creator>Islam, Mohammad Aminul</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>3HK</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5107-5289</orcidid></search><sort><creationdate>20221201</creationdate><title>Effects of chronic exposure to arsenic on the fecal carriage of antibiotic-resistant Escherichia coli among people in rural Bangladesh</title><author>Amin, Mohammed Badrul ; 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Heavy metals such as arsenic have been shown to drive co-selection of antibiotic resistance, suggesting arsenic-contaminated drinking water is a risk factor for antibiotic resistance carriage. This study aimed to determine the prevalence and abundance of antibiotic-resistant Escherichia coli (AR-Ec) among people and drinking water in high (Hajiganj, >100 μg/L) and low arsenic-contaminated (Matlab, <20 μg/L) areas in Bangladesh. Drinking water and stool from mothers and their children (<1 year) were collected from 50 households per area. AR-Ec was detected via selective culture plating and isolates were tested for antibiotic resistance, arsenic resistance, and diarrheagenic genes by PCR. Whole-genome sequencing (WGS) analysis was done for 30 E. coli isolates from 10 households. Prevalence of AR-Ec was significantly higher in water in Hajiganj (48%) compared to water in Matlab (22%, p <0.05) and among children in Hajiganj (94%) compared to children in Matlab (76%, p <0.05), but not among mothers. A significantly higher proportion of E. coli isolates from Hajiganj were multidrug-resistant (83%) compared to isolates from Matlab (71%, p <0.05). Co-resistance to arsenic and multiple antibiotics (MAR index >0.2) was observed in a higher proportion of water (78%) and child stool (100%) isolates in Hajiganj than in water (57%) and children (89%) in Matlab (p <0.05). The odds of arsenic-resistant bacteria being resistant to third-generation cephalosporin antibiotics were higher compared to arsenic-sensitive bacteria (odds ratios, OR 1.2-7.0, p <0.01). WGS-based phylogenetic analysis of E. coli isolates did not reveal any clustering based on arsenic exposure and no significant difference in resistome was found among the isolates between the two areas. The positive association detected between arsenic exposure and antibiotic resistance carriage among children in arsenic-affected areas in Bangladesh is an important public health concern that warrants redoubling efforts to reduce arsenic exposure.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36480516</pmid><doi>10.1371/journal.ppat.1010952</doi><tpages>e1010952</tpages><orcidid>https://orcid.org/0000-0001-5107-5289</orcidid><oa>free_for_read</oa></addata></record>
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subjects Anti-Bacterial Agents - pharmacology
Antibiotic resistance
Antibiotics
Antimicrobial agents
Arsenic
Arsenic - pharmacology
Bacteria
Bangladesh
Biology and Life Sciences
Cephalosporins
Chi-square test
Child
Children
Chronic exposure
Clustering
Drinking Water
Drug resistance
Drug resistance in microorganisms
E coli
Ecology and Environmental Sciences
Escherichia coli
Escherichia coli - genetics
Escherichia coli infections
Exposure
Feces
Gene sequencing
Genomes
Groundwater
Health aspects
Heavy metals
Households
Humans
Matlab
Medicine and Health Sciences
Mothers
Multidrug resistance
Phylogeny
Physical Sciences
Public health
Research and Analysis Methods
Resistance factors
Risk analysis
Risk factors
Rural population
Statistics
Water pollution
Whole genome sequencing
title Effects of chronic exposure to arsenic on the fecal carriage of antibiotic-resistant Escherichia coli among people in rural Bangladesh
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