A probabilistic approach to assess antibiotic resistance development risks in environmental compartments and its application to an intensive aquaculture production scenario

Autor: Paul J. Van den Brink, Rianne Jacobs, Andreu Rico, Alfredo Tello
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Aquatic Ecology and Water Quality Management
Antibiotic resistance
Health
Toxicology and Mutagenesis
Antibiotics
Fresh Water
Aquaculture
010501 environmental sciences
Toxicology
01 natural sciences
Trimethoprim
Anti-Infective Agents
Levofloxacin
Ampicillin
Catfishes
Risk assessment
Drug Resistance
Microbial
General Medicine
QR Microbiology
Pollution
Anti-Bacterial Agents
medicine.drug
Environmental Monitoring
Environmental Risk Assessment
medicine.drug_class
Microbial Sensitivity Tests
Biology
Environment
Risk Assessment
03 medical and health sciences
Minimum inhibitory concentration
medicine
TD Environmental technology. Sanitary engineering
Animals
SH Aquaculture. Fisheries. Angling
Ponds
0105 earth and related environmental sciences
WIMEK
Bacteria
business.industry
Water Pollution
Amoxicillin
Aquatische Ecologie en Waterkwaliteitsbeheer
Biotechnology
030104 developmental biology
business
Zdroj: Environmental Pollution 231 (2017)
Environmental Pollution, 231, 918-928
ISSN: 0269-7491
Popis: Estimating antibiotic pollution and antibiotic resistance development risks in environmental compartments is important to design management strategies that advance our stewardship of antibiotics. In this study we propose a modelling approach to estimate the risk of antibiotic resistance development in environmental compartments and demonstrate its application in aquaculture production systems. We modelled exposure concentrations for 12 antibiotics used in Vietnamese Pangasius catfish production using the ERA-AQUA model. Minimum selective concentration (MSC) distributions that characterize the selective pressure of antibiotics on bacterial communities were derived from the European Committee on Antimicrobial Susceptibility Testing (EUCAST) Minimum Inhibitory Concentration dataset. The antibiotic resistance development risk (RDR) for each antibiotic was calculated as the probability that the antibiotic exposure distribution exceeds the MSC distribution representing the bacterial community. RDRs in pond sediments were nearly 100% for all antibiotics. Median RDR values in pond water were high for the majority of the antibiotics, with rifampicin, levofloxacin and ampicillin having highest values. In the effluent mixing area, RDRs were low for most antibiotics, with the exception of amoxicillin, ampicillin and trimethoprim, which presented moderate risks, and rifampicin and levofloxacin, which presented high risks. The RDR provides an efficient means to benchmark multiple antibiotics and treatment regimes in the initial phase of a risk assessment with regards to their potential to develop resistance in different environmental compartments, and can be used to derive resistance threshold concentrations.
Databáze: OpenAIRE
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