Routine wastewater-based monitoring of antibiotic resistance in two Finnish hospitals : focus on carbapenem resistance genes and genes associated with bacteria causing hospital-acquired infections

Show full item record



Permalink

http://hdl.handle.net/10138/337669

Citation

Majlander , J , Anttila , V-J , Nurmi , W , Seppälä , A , Tiedje , J & Muziasari , W 2021 , ' Routine wastewater-based monitoring of antibiotic resistance in two Finnish hospitals : focus on carbapenem resistance genes and genes associated with bacteria causing hospital-acquired infections ' , Journal of Hospital Infection , vol. 117 , pp. 157-164 . https://doi.org/10.1016/j.jhin.2021.09.008

Title: Routine wastewater-based monitoring of antibiotic resistance in two Finnish hospitals : focus on carbapenem resistance genes and genes associated with bacteria causing hospital-acquired infections
Author: Majlander, J.; Anttila, V-J; Nurmi, W.; Seppälä, A.; Tiedje, J.; Muziasari, W.
Contributor organization: HUS Inflammation Center
Date: 2021-11
Language: eng
Number of pages: 8
Belongs to series: Journal of Hospital Infection
ISSN: 0195-6701
DOI: https://doi.org/10.1016/j.jhin.2021.09.008
URI: http://hdl.handle.net/10138/337669
Abstract: Background: Wastewater-based monitoring represents a useful tool for antibiotic resist-ance surveillance. Aim: To investigate the prevalence and abundance of antibiotic resistance genes (ARGs) in hospital wastewater over time. Methods: Wastewater from two hospitals in Finland (HUS1 and HUS2) was monitored weekly for nine weeks (weeks 25-33) in summer 2020. A high-throughput real-time poly-merization chain reaction (HT-qPCR) system was used to detect and quantify 216 ARGs and genes associated with mobile genetic elements (MGEs), integrons, and bacteria causing hospital-acquired infections (HAIs), as well as the 16S rRNA gene. Data from HT-qPCR were analysed and visualized using a novel digital platform, ResistApp. Eight carbapenem resistance genes (blaGES, blaKPC, blaVIM, blaNDM, blaCMY, blaMOX, blaOXA48, and blaOXA51) and three genes associated with bacteria causing HAIs (Acinetobacter bau-mannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa) were studied. Findings: There was a significantly higher number of ARGs at both hospitals in weeks 27-30 (174-191 genes) compared to other sampling weeks (151-171 genes). Our analyses also indicated that the two hospitals, which used different amounts of antibiotics, had significantly different resistance gene profiles. Carbapenem resistance genes were more prevalent and abundant in HUS1 than HUS2. Across both hospitals, blaGES and blaVIM were the most prevalent and abundant. There was also a strong positive association between blaKPC and K. pneumoniae in HUS1 wastewater. Conclusion: Routine wastewater-based monitoring using ResistApp can provide valuable information on the prevalence and abundance of ARGs in hospitals. This helps hospitals understand the spread of antibiotic resistance in hospitals and identify potential areas for intervention. (c) 2021 The Authors. Published by Elsevier Ltd on behalf of The Healthcare Infection Society. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Subject: Antibiotic resistance genes
Carbapenem resistance genes
High-throughput qPCR
Routine monitoring
Hospital
Wastewater
COLONIZATION
OUTBREAK
3121 General medicine, internal medicine and other clinical medicine
3142 Public health care science, environmental and occupational health
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: publishedVersion


Files in this item

Total number of downloads: Loading...

Files Size Format View
PIIS0195670121003224.pdf 650.5Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record