Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption

The presence of extended-spectrum β-lactamase (ESBL) and plasmidic AmpC (pAmpC) producing Escherichia coli (EEC) in food animals, especially broilers, has become a major public health concern. The aim of the present study was to quantify the EEC exposure of humans in The Netherlands through the cons...

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Veröffentlicht in:PloS one 2017-01, Vol.12 (1), p.e0169589
Hauptverfasser: Evers, Eric G, Pielaat, Annemarie, Smid, Joost H, van Duijkeren, Engeline, Vennemann, Francy B C, Wijnands, Lucas M, Chardon, Jurgen E
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container_title PloS one
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Pielaat, Annemarie
Smid, Joost H
van Duijkeren, Engeline
Vennemann, Francy B C
Wijnands, Lucas M
Chardon, Jurgen E
description The presence of extended-spectrum β-lactamase (ESBL) and plasmidic AmpC (pAmpC) producing Escherichia coli (EEC) in food animals, especially broilers, has become a major public health concern. The aim of the present study was to quantify the EEC exposure of humans in The Netherlands through the consumption of meat from different food animals. Calculations were done with a simplified Quantitative Microbiological Risk Assessment (QMRA) model. The model took the effect of pre-retail processing, storage at the consumers home and preparation in the kitchen (cross-contamination and heating) on EEC numbers on/in the raw meat products into account. The contribution of beef products (78%) to the total EEC exposure of the Dutch population through the consumption of meat was much higher than for chicken (18%), pork (4.5%), veal (0.1%) and lamb (0%). After slaughter, chicken meat accounted for 97% of total EEC load on meat, but chicken meat experienced a relatively large effect of heating during food preparation. Exposure via consumption of filet americain (a minced beef product consumed raw) was predicted to be highest (61% of total EEC exposure), followed by chicken fillet (13%). It was estimated that only 18% of EEC exposure occurred via cross-contamination during preparation in the kitchen, which was the only route by which EEC survived for surface-contaminated products. Sensitivity analysis showed that model output is not sensitive for most parameters. However, EEC concentration on meat other than chicken meat was an important data gap. In conclusion, the model assessed that consumption of beef products led to a higher exposure to EEC than chicken products, although the prevalence of EEC on raw chicken meat was much higher than on beef. The (relative) risk of this exposure for public health is yet unknown given the lack of a modelling framework and of exposure studies for other potential transmission routes.
doi_str_mv 10.1371/journal.pone.0169589
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The aim of the present study was to quantify the EEC exposure of humans in The Netherlands through the consumption of meat from different food animals. Calculations were done with a simplified Quantitative Microbiological Risk Assessment (QMRA) model. The model took the effect of pre-retail processing, storage at the consumers home and preparation in the kitchen (cross-contamination and heating) on EEC numbers on/in the raw meat products into account. The contribution of beef products (78%) to the total EEC exposure of the Dutch population through the consumption of meat was much higher than for chicken (18%), pork (4.5%), veal (0.1%) and lamb (0%). After slaughter, chicken meat accounted for 97% of total EEC load on meat, but chicken meat experienced a relatively large effect of heating during food preparation. Exposure via consumption of filet americain (a minced beef product consumed raw) was predicted to be highest (61% of total EEC exposure), followed by chicken fillet (13%). It was estimated that only 18% of EEC exposure occurred via cross-contamination during preparation in the kitchen, which was the only route by which EEC survived for surface-contaminated products. Sensitivity analysis showed that model output is not sensitive for most parameters. However, EEC concentration on meat other than chicken meat was an important data gap. In conclusion, the model assessed that consumption of beef products led to a higher exposure to EEC than chicken products, although the prevalence of EEC on raw chicken meat was much higher than on beef. 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It was estimated that only 18% of EEC exposure occurred via cross-contamination during preparation in the kitchen, which was the only route by which EEC survived for surface-contaminated products. Sensitivity analysis showed that model output is not sensitive for most parameters. However, EEC concentration on meat other than chicken meat was an important data gap. In conclusion, the model assessed that consumption of beef products led to a higher exposure to EEC than chicken products, although the prevalence of EEC on raw chicken meat was much higher than on beef. 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poisoning</subject><subject>Food Microbiology</subject><subject>Health aspects</subject><subject>Heat resistance</subject><subject>Heating</subject><subject>Humans</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Measurement</subject><subject>Meat</subject><subject>Meat - microbiology</subject><subject>Meat products</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Models, Theoretical</subject><subject>Netherlands</subject><subject>Parameter sensitivity</subject><subject>People and Places</subject><subject>Pork</subject><subject>Poultry</subject><subject>Public health</subject><subject>Red Meat - microbiology</subject><subject>Risk Assessment</subject><subject>Sensitivity analysis</subject><subject>Social Sciences</subject><subject>Veal</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEnz0eRmYRxGHRhZcdUbL0Kapm2GtqlJu6z_3nSnu0xlL5ZAU5LnvDl5T04UvYRgCVEKP-zt4FpZLzvb6iWAlBPGH0WnkKNkQROAHh_9n0TPvN8DQBCj9Gl0kjBAKGDwNPq9tk0nnezNlY431531g9PxynvtfaPbPrZFvLn8uFt8czYflGnLeONVpZ1RlZGxsrWJ-8rZoazir1r28dq2fmi63tj2efSkkLXXL6b5LPr5afNj_WWxu_i8Xa92C0UJ6ReSgJA7AVhrkGKuFcIp4RSmeaIQlSR8CYE8Y1IXkGWK0wSzoshzQBFXCqOz6PVBt6utF5MvXkBGSBqUUhCI7YHIrdyLzplGur_CSiNuFqwrhXS9UbUWSilJQQqyTKYYQ8AVZkoDyUhaZIzzoHU-nTZkjc5VMMnJeiY632lNJUp7JUgCCUdjuu8mAWf_DNr3ojFe6bqWrbbDTd4cs5Qn_CEoDVZRjAL65j_0fiMmqpThrqYtbEhRjaJihVMa6oHIeOzyHiqMXDdGhfdWmLA-C3g_CwhMr6_7Ug7ei-3l94ezF7_m7NsjttKy7itv62F8XX4O4gOonPXe6eKuHhCIsV1u3RBju4ipXULYq-Na3gXd9gf6B7eDDw8</recordid><startdate>20170105</startdate><enddate>20170105</enddate><creator>Evers, Eric G</creator><creator>Pielaat, Annemarie</creator><creator>Smid, Joost H</creator><creator>van Duijkeren, Engeline</creator><creator>Vennemann, Francy B C</creator><creator>Wijnands, Lucas M</creator><creator>Chardon, Jurgen E</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4689-3169</orcidid></search><sort><creationdate>20170105</creationdate><title>Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption</title><author>Evers, Eric G ; 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The aim of the present study was to quantify the EEC exposure of humans in The Netherlands through the consumption of meat from different food animals. Calculations were done with a simplified Quantitative Microbiological Risk Assessment (QMRA) model. The model took the effect of pre-retail processing, storage at the consumers home and preparation in the kitchen (cross-contamination and heating) on EEC numbers on/in the raw meat products into account. The contribution of beef products (78%) to the total EEC exposure of the Dutch population through the consumption of meat was much higher than for chicken (18%), pork (4.5%), veal (0.1%) and lamb (0%). After slaughter, chicken meat accounted for 97% of total EEC load on meat, but chicken meat experienced a relatively large effect of heating during food preparation. Exposure via consumption of filet americain (a minced beef product consumed raw) was predicted to be highest (61% of total EEC exposure), followed by chicken fillet (13%). It was estimated that only 18% of EEC exposure occurred via cross-contamination during preparation in the kitchen, which was the only route by which EEC survived for surface-contaminated products. Sensitivity analysis showed that model output is not sensitive for most parameters. However, EEC concentration on meat other than chicken meat was an important data gap. In conclusion, the model assessed that consumption of beef products led to a higher exposure to EEC than chicken products, although the prevalence of EEC on raw chicken meat was much higher than on beef. The (relative) risk of this exposure for public health is yet unknown given the lack of a modelling framework and of exposure studies for other potential transmission routes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28056081</pmid><doi>10.1371/journal.pone.0169589</doi><tpages>e0169589</tpages><orcidid>https://orcid.org/0000-0003-4689-3169</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Adult
Aged
Animals
Bacteria
Beef
Beta lactamases
beta-Lactamases - metabolism
Biology and Life Sciences
Campylobacter
Campylobacter jejuni
Chickens
Child
Contamination
Disease control
E coli
Enterobacteriaceae
Escherichia coli
Escherichia coli - enzymology
Escherichia coli - isolation & purification
Exposure
Female
Food chains
Food consumption
Food contamination
Food contamination & poisoning
Food Microbiology
Health aspects
Heat resistance
Heating
Humans
Infections
Infectious diseases
Male
Measurement
Meat
Meat - microbiology
Meat products
Medicine and Health Sciences
Middle Aged
Models, Theoretical
Netherlands
Parameter sensitivity
People and Places
Pork
Poultry
Public health
Red Meat - microbiology
Risk Assessment
Sensitivity analysis
Social Sciences
Veal
Young Adult
title Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption
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