81 results on '"Liébana, Ernesto"'
Search Results
2. Transmission of antimicrobial resistance (AMR) during animal transport
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Álvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Argüello-Rodríguez, Héctor, Dohmen, Wietske, Francesca Magistrali, Chiara, Padalino, Barbara, Tenhagen, Bernd-Alois, Threlfall, John, García-Fierro, Raquel, Guerra, Beatriz, Liébana, Ernesto, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutsoumanis, K, Allende, A, Alvarez-Ordonez, A, Bolton, D, Bover-Cid, S, Chemaly, M, Davies, R, De Cesare, A, Herman, L, Hilbert, F, Lindqvist, R, Nauta, M, Ru, G, Simmons, M, Skandamis, P, Suffredini, E, Arguello-Rodriguez, H, Dohmen, W, Magistrali, CF, Padalino, B, Tenhagen, BA, Threlfall, J, Garcia-Fierro, R, Guerra, B, Liebana, E, Stella, P, and Peixe, L
- Subjects
663/664 ,Veterinary (miscellaneous) ,data gaps ,food-producing animals ,Plant Science ,mitigation option ,Microbiology ,antimicrobial-resistant bacteria (ARB) ,lairage ,food-producing animal ,research needs ,risk factor ,mitigation options ,veterinary (miscalleneous) ,data gap ,risk factors ,Animal Science and Zoology ,Parasitology ,antimicrobial resistance genes (ARGs) ,Food Science - Abstract
The transmission of antimicrobial resistance (AMR) between food-producing animals (poultry, cattle and pigs) during short journeys ( 8 h) directed to other farms or to the slaughterhouse lairage (directly or with intermediate stops at assembly centres or control posts, mainly transported by road) was assessed. Among the identified risk factors contributing to the probability of transmission of antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs), the ones considered more important are the resistance status (presence of ARB/ARGs) of the animals pre-transport, increased faecal shedding, hygiene of the areas and vehicles, exposure to other animals carrying and/or shedding ARB/ARGs (especially between animals of different AMR loads and/or ARB/ARG types), exposure to contaminated lairage areas and duration of transport. There are nevertheless no data whereby differences between journeys shorter or longer than 8 h can be assessed. Strategies that would reduce the probability of AMR transmission, for all animal categories include minimising the duration of transport, proper cleaning and disinfection, appropriate transport planning, organising the transport in relation to AMR criteria (transport logistics), improving animal health and welfare and/or biosecurity immediately prior to and during transport, ensuring the thermal comfort of the animals and animal segregation. Most of the aforementioned measures have similar validity if applied at lairage, assembly centres and control posts. Data gaps relating to the risk factors and the effectiveness of mitigation measures have been identified, with consequent research needs in both the short and longer term listed. Quantification of the impact of animal transportation compared to the contribution of other stages of the food-production chain, and the interplay of duration with all risk factors on the transmission of ARB/ARGs during transport and journey breaks, were identified as urgent research needs. info:eu-repo/semantics/publishedVersion
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- 2022
3. Public Health Risks of Enterobacterial Isolates Producing Extended-Spectrum ß-Lactamases or AmpC ß-Lactamases in Food and Food-Producing Animals: An EU Perspective of Epidemiology, Analytical Methods, Risk Factors, and Control Options
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Liebana, Ernesto, Carattoli, Alessandra, Coque, Teresa M., Hasman, Henrik, Magiorakos, Anna-Pelagia, Mevius, Dik, Peixe, Luisa, Poirel, Laurent, Schuepbach-Regula, Gertraud, Torneke, Karolina, Torren-Edo, Jordi, Torres, Carmen, and Threlfall, John
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- 2013
- Full Text
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4. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 9: Polymyxins: colistin
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I., Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutsoumanis K., Allende A., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., and Peixe L.
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663/664 ,medicine.drug_class ,Veterinary (miscellaneous) ,Polymyxin ,Growth promotion ,TP1-1185 ,Plant Science ,Biology ,Microbiology ,Non target ,Antibiotic resistance ,growth promotion ,medicine ,TX341-641 ,antimicrobial resistance ,colistin ,yield increase ,Animal health ,Nutrition. Foods and food supply ,business.industry ,Chemical technology ,sub-inhibitory concentration ,sub‐inhibitory concentration ,Contamination ,Feed Antimicrobial Resistance Selection Concentration (FARSC) ,Antimicrobial ,food-producing animal ,Biotechnology ,Colistin ,Animal Science and Zoology ,Parasitology ,business ,Food Science ,medicine.drug - Abstract
The specific concentrations of colistin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of colistin in feed that showed to have an effect on growth promotion/increased yield were reported. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials. info:eu-repo/semantics/publishedVersion
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- 2021
5. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 13: Diaminopyrimidines: trimethoprim
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I., Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutsoumanis K., Allende A., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., and Peixe L.
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Complete data ,663/664 ,Veterinary (miscellaneous) ,Growth promotion ,TP1-1185 ,Plant Science ,Biology ,Microbiology ,Trimethoprim ,Non target ,Antibiotic resistance ,growth promotion ,medicine ,TX341-641 ,antimicrobial resistance ,yield increase ,Animal health ,Nutrition. Foods and food supply ,business.industry ,Chemical technology ,sub-inhibitory concentration ,food-producing animals ,Biol5012 ,food‐producing animals ,sub‐inhibitory concentration ,Contamination ,Feed Antimicrobial Resistance Selection Concentration (FARSC) ,Antimicrobial ,food-producing animal ,Biotechnology ,Scientific Opinion ,Animal Science and Zoology ,Parasitology ,business ,Food Science ,medicine.drug - Abstract
The specific concentrations of trimethoprim in non-target feed for food-producing animals below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for trimethoprim was estimated. Uncertainties and data gaps associated to the levels reported were addressed. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. No suitable data for the assessment were available. It was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC for trimethoprim. info:eu-repo/semantics/publishedVersion
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- 2021
6. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 12: Tetracyclines: tetracycline, chlortetracycline, oxytetracycline, and doxycycline
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutsoumanis K., Allende A., Alvarez-Ordonez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., and Peixe L.
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Chlortetracycline ,663/664 ,Tetracycline ,Veterinary (miscellaneous) ,Growth promotion ,TP1-1185 ,Plant Science ,Oxytetracycline ,Biology ,Microbiology ,Antibiotic resistance ,growth promotion ,medicine ,TX341-641 ,antimicrobial resistance ,Food science ,chlortetracycline ,tetracycline ,Doxycycline ,doxycycline ,Nutrition. Foods and food supply ,Chemical technology ,food-producing animals ,Contamination ,Antimicrobial ,food-producing animal ,Animal Science and Zoology ,Parasitology ,oxytetracycline ,Food Science ,medicine.drug - Abstract
The specific concentrations of tetracycline, chlortetracycline, oxytetracycline and doxycycline in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for these four tetracyclines was estimated. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tetracycline, chlortetracycline, oxytetracycline, whilst for doxycycline no suitable data for the assessment were available. Uncertainties and data gaps associated with the levels reported were addressed. It was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC for these antimicrobials. info:eu-repo/semantics/publishedVersion
- Published
- 2021
7. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 10: Quinolones: flumequine and oxolinic acid
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Koutsoumanis K., Allende A., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., Peixe L., Indústries Alimentàries, and Funcionalitat i Seguretat Alimentària
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663/664 ,Veterinary (miscellaneous) ,Growth promotion ,flumequine ,TP1-1185 ,Plant Science ,Microbiology ,Non target ,Antibiotic resistance ,growth promotion ,oxolinic acid ,Oxolinic acid ,medicine ,TX341-641 ,Food science ,antimicrobial resistance ,Food8822 ,yield increase ,Animal health ,Nutrition. Foods and food supply ,Chemical technology ,sub-inhibitory concentration ,food-producing animals ,food‐producing animals ,Contamination ,sub‐inhibitory concentration ,Antimicrobial ,food-producing animal ,Scientific Opinion ,Flumequine ,Environmental science ,Animal Science and Zoology ,Parasitology ,Food Science ,medicine.drug - Abstract
The specific concentrations of flumequine and oxolinic acid in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data are available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. No suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials. info:eu-repo/semantics/publishedVersion
- Published
- 2021
8. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 4: β‐Lactams: amoxicillin and penicillin V
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutso111umanis K., Allende A., Alvarez-Ordonez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., and Peixe L.
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663/664 ,Veterinary (miscellaneous) ,Growth promotion ,TP1-1185 ,Plant Science ,Biology ,Microbiology ,Antibiotic resistance ,Non target ,growth promotion ,β lactams ,medicine ,TX341-641 ,antimicrobial resistance ,Food science ,yield increase ,amoxicillin ,Nutrition. Foods and food supply ,sub-inhibitory concentration ,Chemical technology ,food-producing animals ,Biol5012 ,food‐producing animals ,sub‐inhibitory concentration ,Contamination ,Amoxicillin ,penicillin V ,Antimicrobial ,food-producing animal ,Penicillin ,Scientific Opinion ,Animal Science and Zoology ,Parasitology ,Food Science ,medicine.drug - Abstract
The specific concentrations of amoxicillin and penicillin V in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for amoxicillin, whilst for penicillin V no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these two antimicrobials. info:eu-repo/semantics/publishedVersion
- Published
- 2021
9. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 6: Macrolides: tilmicosin, tylosin and tylvalosin
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Koutsoumanis K., Allende A., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., Peixe L., Indústries Alimentàries, and Funcionalitat i Seguretat Alimentària
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663/664 ,Veterinary (miscellaneous) ,Growth promotion ,TP1-1185 ,Plant Science ,Tylosin ,Biology ,tilmicosin ,Microbiology ,chemistry.chemical_compound ,Antibiotic resistance ,Non target ,growth promotion ,TX341-641 ,antimicrobial resistance ,Food science ,Tilmicosin ,yield increase ,tylosin ,Nutrition. Foods and food supply ,Chemical technology ,food-producing animals ,tylvalosin ,Contamination ,Antimicrobial ,food-producing animal ,chemistry ,Animal Science and Zoology ,Parasitology ,Tylvalosin ,Food Science - Abstract
The specific concentrations of tilmicosin, tylosin and tylvalosin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield, were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tilmicosin and tylosin, whilst for tylvalosin no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these three antimicrobials. info:eu-repo/semantics/publishedVersion
- Published
- 2021
10. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 11: Sulfonamides
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I., Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Koutsoumanis K., Allende A., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., Peixe L., Indústries Alimentàries, and Funcionalitat i Seguretat Alimentària
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Sulfamerazine ,663/664 ,Veterinary (miscellaneous) ,Growth promotion ,TP1-1185 ,Plant Science ,Sulfonamide ,Microbiology ,Antibiotic resistance ,Non target ,growth promotion ,medicine ,TX341-641 ,antimicrobial resistance ,Food science ,yield increase ,Sulfonamides ,Animal health ,Nutrition. Foods and food supply ,Chemical technology ,sub-inhibitory concentration ,food‐producing animals ,food-producing animals ,sub‐inhibitory concentration ,Contamination ,Antimicrobial ,food-producing animal ,Sulfathiazole ,Environmental science ,Animal Science and Zoology ,Parasitology ,Food Science ,medicine.drug - Abstract
The specific concentrations of sulfonamides in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data are available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were identified for three sulfonamides: sulfamethazine, sulfathiazole and sulfamerazine. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials. info:eu-repo/semantics/publishedVersion
- Published
- 2021
11. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 5: Lincosamides: lincomycin
- Author
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutsoumanis K., Allende A., Alvarez-Ordonez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., and Peixe L.
- Subjects
663/664 ,medicine.drug_class ,Veterinary (miscellaneous) ,Growth promotion ,Plant Science ,TP1-1185 ,Biology ,Microbiology ,Antibiotic resistance ,Non target ,growth promotion ,medicine ,TX341-641 ,Food science ,antimicrobial resistance ,yield increase ,Lincosamides ,Animal health ,Nutrition. Foods and food supply ,sub-inhibitory concentration ,Chemical technology ,Biol5012 ,food‐producing animals ,food-producing animals ,Contamination ,sub‐inhibitory concentration ,Antimicrobial ,Feed Antimicrobial Resistance Selection Concentration (FARSC) ,food-producing animal ,Lincomycin ,Scientific Opinion ,Animal Science and Zoology ,Parasitology ,lincomycin ,Food Science ,medicine.drug - Abstract
The specific concentrations of lincomycin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of lincomycin in feed that showed to have an effect on growth promotion/increased yield were reported. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for lincomycin. info:eu-repo/semantics/publishedVersion
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- 2021
12. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 2: Aminoglycosides/aminocyclitols: apramycin, paromomycin, neomycin and spectinomycin
- Author
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EFSA Panel on Biological Hazards (BIOHAZ), Allende, Ana, Koutsoumanis, Konstantinos, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Allende A., Koutsoumanis K., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., Peixe L., Indústries Alimentàries, and Funcionalitat i Seguretat Alimentària
- Subjects
Spectinomycin ,663/664 ,spectinomycin ,Veterinary (miscellaneous) ,Growth promotion ,Paromomycin ,TP1-1185 ,Plant Science ,Biology ,Apramycin ,Microbiology ,Antibiotic resistance ,growth promotion ,medicine ,TX341-641 ,Food science ,antimicrobial resistance ,Nutrition. Foods and food supply ,Chemical technology ,neomycin ,food-producing animals ,Neomycin ,Contamination ,Antimicrobial ,food-producing animal ,Animal Science and Zoology ,Parasitology ,paromomycin ,Food Science ,medicine.drug ,apramycin - Abstract
The specific concentrations of apramycin, paromomycin, neomycin and spectinomycin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield, were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC for these antimicrobials, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for apramycin and neomycin, whilst for paromomycin and spectinomycin, no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these four antimicrobials. info:eu-repo/semantics/publishedVersion
- Published
- 2021
13. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 3: Amprolium
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Koutsoumanis K., Allende A., Alvarez-Ordoñez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Andersson D.I., Bampidis V., Bengtsson-Palme J., Bouchard D., Ferran A., Kouba M., Lopez Puente S., Lopez-Alonso M., Nielsen S.S., Pechova A., Petkova M., Girault S., Broglia A., Guerra B., Innocenti M.L., Liebana E., Lopez-Galvez G., Manini P., Stella P., Peixe L., Indústries Alimentàries, and Funcionalitat i Seguretat Alimentària
- Subjects
663/664 ,Veterinary (miscellaneous) ,Growth promotion ,TP1-1185 ,Plant Science ,Biology ,Microbiology ,chemistry.chemical_compound ,Antibiotic resistance ,Non target ,Amprolium ,growth promotion ,TX341-641 ,Food science ,antimicrobial resistance ,yield increase ,Animal health ,Nutrition. Foods and food supply ,Chemical technology ,Biol5012 ,food‐producing animals ,food-producing animals ,Feed Antimicrobial Resistance Selection Concentration (FARSC), growth promotion ,Contamination ,Antimicrobial ,Feed Antimicrobial Resistance Selection Concentration (FARSC) ,food-producing animal ,Scientific Opinion ,subinhibitory concentration ,chemistry ,Animal Science and Zoology ,Parasitology ,Food Science ,amprolium - Abstract
The specific concentrations of amprolium in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC for amprolium, it was not possible to conclude the assessment. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of amprolium in feed that showed to have an effect on growth promotion/increased yield were reported. The lack of antibacterial activity at clinically relevant concentrations for amprolium suggests that further studies relating to bacterial resistance are not a priority. info:eu-repo/semantics/publishedVersion
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- 2021
14. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 7:Amphenicols: florfenicol and thiamphenicol
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
The specific concentrations of florfenicol and thiamphenicol in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield, were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for florfenicol was estimated. However, due to the lack of data, the calculation of the FARSC for thiamphenicol was not possible until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for florfenicol, whilst for thiamphenicol no suitable data for the assessment were available. Uncertainties and data gaps associated to the levels reported were addressed. For florfenicol, it was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC, whereas for thiamphenicol, the recommendation was to generate the data required to fill the gaps which prevented the FARSC calculation.
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- 2021
15. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 1: Methodology, general data gaps and uncertainties
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
The European Commission requested EFSA to assess, in collaboration with EMA, the specific concentrations of antimicrobials resulting from cross-contamination in non-target feed for food-producing animals below which there would not be an effect on the emergence of, and/or selection for, resistance in microbial agents relevant for human and animal health, as well as the levels of the antimicrobials which could have a growth promotion/increase yield effect. The assessment was performed for 24 antimicrobial active substances, as specified in the mandate. This scientific opinion describes the methodology used, and the main associated data gaps and uncertainties. To estimate the antimicrobial levels in the non-target feed that would not result in emergence of, and/or selection for, resistance, a model was developed. This ‘Feed Antimicrobial Resistance Selection Concentration’ (FARSC) model is based on the minimal selective concentration (MSC), or the predicted MSC (PMSC) if MSC for the most susceptible bacterial species is unavailable, the fraction of antimicrobial dose available for exposure to microorganisms in the large intestine or rumen (considering pharmacokinetic parameters), the daily faecal output or rumen volume and the daily feed intake. Currently, lack of data prevents the establishment of PMSC and/or FARSC for several antimicrobials and animal species. To address growth promotion, data from an extensive literature search were used. Specific assessments of the different substances grouped by antimicrobial classes are addressed in separate scientific opinions. General conclusions and recommendations were made.
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- 2021
16. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 8::Pleuromutilins: tiamulin and valnemulin
- Author
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Alvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson-Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López-Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López-Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
The specific concentrations of tiamulin and valnemulin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tiamulin, while for valnemulin no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these two antimicrobials.
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- 2021
17. DNA Diagnostics by Surface-Bound Melt-Curve Reactions
- Author
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Strömqvist Meuzelaar, Linda, Hopkins, Katie, Liebana, Ernesto, and Brookes, Anthony J.
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- 2007
- Full Text
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18. Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, Konstantinos, Allende, Ana, Álvarez-Ordóñez, Avelino, Bolton, Declan, Bover-Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Argüello, Héctor, Berendonk, Thomas, Cavaco, Lina Maria, Gaze, William, Schmitt, Heike, Topp, Ed, Guerra, Beatriz, Liébana, Ernesto, Stella, Pietro, Peixe, Luisa, Indústries Alimentàries, Funcionalitat i Seguretat Alimentària, Koutsoumanis K., Allende A., Alvarez-Ordonez A., Bolton D., Bover-Cid S., Chemaly M., Davies R., De Cesare A., Herman L., Hilbert F., Lindqvist R., Nauta M., Ru G., Simmons M., Skandamis P., Suffredini E., Arguello H., Berendonk T., Cavaco L.M., Gaze W., Schmitt H., Topp E., Guerra B., Liebana E., Stella P., and Peixe L.
- Subjects
663/664 ,040301 veterinary sciences ,Veterinary (miscellaneous) ,Biosecurity ,TP1-1185 ,Plant Science ,010501 environmental sciences ,Terrestrial animal ,medicine.disease_cause ,01 natural sciences ,Microbiology ,Anim2953 ,0403 veterinary science ,Food chain ,Antibiotic resistance ,medicine ,TX341-641 ,animal ,antimicrobial resistance ,0105 earth and related environmental sciences ,food‐producing environment ,biology ,Nutrition. Foods and food supply ,business.industry ,plants ,Chemical technology ,Campylobacter ,food ,04 agricultural and veterinary sciences ,biochemical phenomena, metabolism, and nutrition ,biology.organism_classification ,Manure ,antimicrobial‐resistant bacteria ,Biotechnology ,animals ,Scientific Opinion ,antimicrobial resistance gene ,One Health ,aquaculture ,veterinary (miscalleneous) ,Food processing ,Parasitology ,Animal Science and Zoology ,business ,antimicrobial-resistant bacteria ,environment ,food-producing environment ,antimicrobial resistance genes ,Food Science - Abstract
The role of food-producing environments in the emergence and spread of antimicrobial resistance (AMR) in EU plant-based food production, terrestrial animals (poultry, cattle and pigs) and aquaculture was assessed. Among the various sources and transmission routes identified, fertilisers of faecal origin, irrigation and surface water for plant-based food and water for aquaculture were considered of major importance. For terrestrial animal production, potential sources consist of feed, humans, water, air/dust, soil, wildlife, rodents, arthropods and equipment. Among those, evidence was found for introduction with feed and humans, for the other sources, the importance could not be assessed. Several ARB of highest priority for public health, such as carbapenem or extended-spectrum cephalosporin and/or fluoroquinolone-resistant Enterobacterales (including Salmonella enterica), fluoroquinolone-resistant Campylobacter spp., methicillin-resistant Staphylococcus aureus and glycopeptide-resistant Enterococcus faecium and E. faecalis were identified. Among highest priority ARGs blaCTX-M, blaVIM, blaNDM, blaOXA-48-like, blaOXA-23, mcr, armA, vanA, cfr and optrA were reported. These highest priority bacteria and genes were identified in different sources, at primary and post-harvest level, particularly faeces/manure, soil and water. For all sectors, reducing the occurrence of faecal microbial contamination of fertilisers, water, feed and the production environment and minimising persistence/recycling of ARB within animal production facilities is a priority. Proper implementation of good hygiene practices, biosecurity and food safety management systems is very important. Potential AMR-specific interventions are in the early stages of development. Many data gaps relating to sources and relevance of transmission routes, diversity of ARB and ARGs, effectiveness of mitigation measures were identified. Representative epidemiological and attribution studies on AMR and its effective control in food production environments at EU level, linked to One Health and environmental initiatives, are urgently required. info:eu-repo/semantics/publishedVersion
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- 2021
19. Multiple genetic typing of Salmonella Enteritidis phage-types 4, 6, 7, 8 and 13a isolates from animals and humans in the UK
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Liebana, Ernesto, Clouting, Carol, Garcia-Migura, Lourdes, Clifton-Hadley, Felicity A, Lindsay, Elizabeth, John Threlfall, E, and Davies, Rob H
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- 2004
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20. Comparison of the environmental survival characteristics of Salmonella Dublin and Salmonella Typhimurium
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Kirchner, Miranda J., Liebana, Ernesto, McLaren, Ian, Clifton-Hadley, Felicity A., Wales, Andrew D., and Davies, Robert H.
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- 2012
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21. Salmonella: A Practical Approach to the Organism and its Control in Foods . Practical Food Microbiology Series. By Chris Bell and Alec Kyriakides . Published by Blackwell Science, Oxford and Malden (Massachusetts); distributed by Iowa State University Press, Ames (Iowa) . $64.99 (paper). vi + 330 p; ill.; index. ISBN: 0–632–05519–7. 2002 .
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Liebana, Ernesto
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- 2003
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22. Mycobacterium tuberculosis subsp. caprae subsp. nov.: A taxonomic study of a new member of the Mycobacterium tuberculosis complex isolated from goats in Spain
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Aranaz, Alicia, primary, Liébana, Ernesto, additional, Gómez-Mampaso, Enrique, additional, Galán, Juan C., additional, Cousins, Debby, additional, Ortega, Arturo, additional, Blázquez, Jesús, additional, Baquero, Fernando, additional, Mateos, Ana, additional, Súarez, Guillermo, additional, and Domínguez, Lucas, additional
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- 1999
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23. Generation of CD8 + T-Cell Responses to Mycobacterium bovis and Mycobacterial Antigen in Experimental Bovine Tuberculosis
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Liébana, Ernesto, primary, Girvin, Robert M., additional, Welsh, Michael, additional, Neill, Sydney D., additional, and Pollock, John M., additional
- Published
- 1999
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24. Restriction fragment length polymorphism and spacer oligonucleotide typing: A comparative analysis of fingerprinting strategies for Mycobacterium bovis
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Aranaz, Alicia, primary, Liébana, Ernesto, additional, Mateos, Ana, additional, Domı́nguez, Lucas, additional, and Cousins, Debby, additional
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- 1998
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25. Evaluation of Four DNA Typing Techniques in Epidemiological Investigations of Bovine Tuberculosis
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Cousins, Debby, primary, Williams, Suzette, additional, Liébana, Ernesto, additional, Aranaz, Alicia, additional, Bunschoten, Annelies, additional, Van Embden, Jan, additional, and Ellis, Trevor, additional
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- 1998
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26. The insertion element IS6110 is a useful tool for DNA fingerprinting of Mycobacterium bovis isolates from cattle and goats in Spain
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Liébana, Ernesto, primary, Aranaz, Alicia, additional, Dominguez, Lucas, additional, Mateos, Ana, additional, González-Llamazares, Oscar, additional, Rodriguez-Ferri, Elias F., additional, Domingo, Mariano, additional, Vidal, Dolores, additional, and Cousins, Debby, additional
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- 1997
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27. Laboratory diagnosis of avian mycobacteriosis
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Aranaz, Alicia, primary, Liébana, Ernesto, additional, Mateos, Ana, additional, and Dominguez, Lucas, additional
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- 1997
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28. Mycobacterium caprae Infection in Livestock and Wildlife, Spain.
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Rodríguez, Sabrina, Bezos, Javier, Romero, Beatriz, de Juan, Lucía, Álvarez, Julio, Castellanos, Elena, Moya, Nuria, Lozano, Francisco, Javed, M. Tariq, Sáez-Llorente, José L., Liébana, Ernesto, Mateos, Ana, Domínguez, Lucas, and Aranaz, Alicia
- Subjects
MYCOBACTERIUM ,MYCOBACTERIA ,LIVESTOCK diseases ,INFECTION ,CATTLE diseases - Abstract
Mycobacterium caprae is a pathogen that can infect animals and humans. To better understand the epidemiology of M. caprae, we spoligotyped 791 animal isolates. Results suggest infection is widespread in Spain, affecting 6 domestic and wild animal species. The epidemiology is driven by infections in caprids, although the organism has emerged in cattle. [ABSTRACT FROM AUTHOR]
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- 2011
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29. Generation of CD8+T-Cell Responses toMycobacterium bovisand Mycobacterial Antigen in Experimental Bovine Tuberculosis
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Liébana, Ernesto, Girvin, Robert M., Welsh, Michael, Neill, Sydney D., and Pollock, John M.
- Abstract
ABSTRACTProtective immunity against tuberculosis is considered to be essentially cell mediated, and an important role for CD8+T lymphocytes has been suggested by several studies of murine and human infections. The present work, using an experimental model of infection with Mycobacterium bovisin cattle, showed that liveM. boviselicits the activation of CD8+T cells in vitro. However, a sonic extract prepared from M. bovis(MBSE) and protein purified derivative (PPDb) also induced a considerable degree of activation of the CD8+T cells. Analysis of proliferative responses of peripheral blood mononuclear cells, purified CD8+T cells, and CD8+T-cell clones to M. bovisand to soluble antigenic preparations (MBSE, PPDb) showed that the responses of all three types of cells were always superior for live mycobacteria but that strong responses were also obtained with complex soluble preparations. Furthermore, while cytotoxic capabilities were not investigated, the CD8+T cells were found to produce and release gamma interferon in response to antigen (live and soluble), which indicated one possible protective mechanism for these cells in bovine tuberculosis. Finally, it was demonstrated by metabolic inhibition with brefeldin A and cytochalasin D at the clonal level that an endogenous pathway of antigen processing is required for presentation to bovine CD8+cells and that presentation is also dependent on phagocytosis of the antigen.
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- 1999
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30. Technical specifications on harmonised monitoring of antimicrobial resistance in zoonotic and indicator bacteria from food‐producing animals and food.
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Aerts, Marc, Battisti, Antonio, Hendriksen, René, Kempf, Isabelle, Teale, Christopher, Tenhagen, Bernd‐Alois, Veldman, Kees, Wasyl, Dariusz, Guerra, Beatriz, Liébana, Ernesto, Thomas‐López, Daniel, and Belœil, Pierre‐Alexandre
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FOOD animals ,ENTEROCOCCUS faecium ,CAMPYLOBACTER coli ,BACTERIA ,CAMPYLOBACTER jejuni - Abstract
Proposals to update the harmonised monitoring and reporting of antimicrobial resistance (AMR) from a public health perspective in Salmonella, Campylobacter coli, Campylobacter jejuni, Escherichia coli, Enterococcus faecalis, Enterococcus faecium and methicillin‐resistant Staphylococcus aureus (MRSA) from food‐producing animals and derived meat in the EU are presented in this report, accounting for recent trends in AMR, data collection needs and new scientific developments. Phenotypic monitoring of AMR in bacterial isolates, using microdilution methods for testing susceptibility and interpreting resistance using epidemiological cut‐off values is reinforced, including further characterisation of those isolates of E. coli and Salmonella showing resistance to extended‐spectrum cephalosporins and carbapenems, as well as the specific monitoring of ESBL/AmpC/carbapenemase‐producing E. coli. Combinations of bacterial species, food‐producing animals and meat, as well as antimicrobial panels have been reviewed and adapted, where deemed necessary. Considering differing sample sizes, numerical simulations have been performed to evaluate the related statistical power available for assessing occurrence and temporal trends in resistance, with a predetermined accuracy, to support the choice of harmonised sample size. Randomised sampling procedures, based on a generic proportionate stratified sampling process, have been reviewed and reinforced. Proposals to improve the harmonisation of monitoring of prevalence, genetic diversity and AMR in MRSA are presented. It is suggested to complement routine monitoring with specific cross‐sectional surveys on MRSA in pigs and on AMR in bacteria from seafood and the environment. Whole genome sequencing (WGS) of isolates obtained from the specific monitoring of ESBL/AmpC/carbapenemase‐producing E. coli is strongly advocated to be implemented, on a voluntary basis, over the validity period of the next legislation, with possible mandatory implementation by the end of the period; the gene sequences encoding for ESBL/AmpC/carbapenemases being reported to EFSA. Harmonised protocols for WGS analysis/interpretation and external quality assurance programmes are planned to be provided by the EU‐Reference Laboratory on AMR. [ABSTRACT FROM AUTHOR]
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- 2019
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31. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 2: Aminoglycosides/aminocyclitols: apramycin, paromomycin, neomycin and spectinomycin
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Tecnologia de los Alimentos, Allende, Ana, Koutsoumanis, Konstantinos, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Allende, Ana, Koutsoumanis, Konstantinos, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
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[EN] The specific concentrations of apramycin, paromomycin, neomycin and spectinomycin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield, were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC for these antimicrobials, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for apramycin and neomycin, whilst for paromomycin and spectinomycin, no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these four antimicrobials
32. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 9: Polymyxins: colistin
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
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[EN] The specific concentrations of colistin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of colistin in feed that showed to have an effect on growth promotion/increased yield were reported. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials
33. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 3: Amprolium
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
[EN] The specific concentrations of amprolium in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC for amprolium, it was not possible to conclude the assessment. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of amprolium in feed that showed to have an effect on growth promotion/increased yield were reported. The lack of antibacterial activity at clinically relevant concentrations for amprolium suggests that further studies relating to bacterial resistance are not a priority.
34. Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Argüello Rodríguez, Héctor, Berendonk, Thomas, Cavaco, Lina Maria, Gaze, William, Schmitt, Heike, Topp, Ed, Guerra, Beatriz, Liébana, Ernesto, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Argüello Rodríguez, Héctor, Berendonk, Thomas, Cavaco, Lina Maria, Gaze, William, Schmitt, Heike, Topp, Ed, Guerra, Beatriz, Liébana, Ernesto, Stella, Pietro, and Peixe, Luisa
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[EN]The role of food-producing environments in the emergence and spread of antimicrobial resistance (AMR) in EU plant-based food production, terrestrial animals (poultry, cattle and pigs) and aquaculture was assessed. Among the various sources and transmission routes identified, fertilisers of faecal origin, irrigation and surface water for plant-based food and water for aquaculture were considered of major importance. For terrestrial animal production, potential sources consist of feed, humans, water, air/dust, soil, wildlife, rodents, arthropods and equipment. Among those, evidence was found for introduction with feed and humans, for the other sources, the importance could not be assessed. Several ARB of highest priority for public health, such as carbapenem or extended-spectrum cephalosporin and/or fluoroquinolone-resistant Enterobacterales (including Salmonella enterica), fluoroquinolone-resistant Campylobacter spp., methicillin-resistant Staphylococcus aureus and glycopeptide-resistant Enterococcus faecium and E. faecalis were identified. Among highest priority ARGs blaCTX-M, blaVIM, blaNDM, blaOXA-48-like, blaOXA-23, mcr, armA, vanA, cfr and optrA were reported. These highest priority bacteria and genes were identified in different sources, at primary and post-harvest level, particularly faeces/manure, soil and water. For all sectors, reducing the occurrence of faecal microbial contamination of fertilisers, water, feed and the production environment and minimising persistence/recycling of ARB within animal production facilities is a priority. Proper implementation of good hygiene practices, biosecurity and food safety management systems is very important. Potential AMR-specific interventions are in the early stages of development. Many data gaps relating to sources and relevance of transmission routes, diversity of ARB and ARGs, effectiveness of mitigation measures were identified. Representative epidemiological and attribution studies on AMR and its effective
35. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 11: Sulfonamides
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
[EN] The specific concentrations of sulfonamides in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data are available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were identified for three sulfonamides: sulfamethazine, sulfathiazole and sulfamerazine. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials.
36. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 5: Lincosamides: lincomycin
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
[EN] The specific concentrations of lincomycin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of lincomycin in feed that showed to have an effect on growth promotion/increased yield were reported. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for lincomycin
37. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 13: Diaminopyrimidines: trimethoprim
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
[EN] The specific concentrations of trimethoprim in non-target feed for food-producing animals below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for trimethoprim was estimated. Uncertainties and data gaps associated to the levels reported were addressed. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. No suitable data for the assessment were available. It was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC for trimethoprim
38. Statement on how to interpret the QPS qualification on ‘acquired antimicrobial resistance genes’
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, De Cesare, Alessandra, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Nonno, Romolo, Peixe, Luisa, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Cocconcelli, Pier Sandro, Suárez, Juan Evaristo, Noriega Fernández, Estefanía, Istace, Frédérique, Aguillera, Jaime, Brozzi, Rosella, Liébana, Ernesto, Guerra, Beatriz, Correia, Sandra, Herman, Lieve, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, De Cesare, Alessandra, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Nonno, Romolo, Peixe, Luisa, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Cocconcelli, Pier Sandro, Suárez, Juan Evaristo, Noriega Fernández, Estefanía, Istace, Frédérique, Aguillera, Jaime, Brozzi, Rosella, Liébana, Ernesto, Guerra, Beatriz, Correia, Sandra, and Herman, Lieve
- Abstract
[EN] The qualified presumption of safety (QPS) approach was developed to provide a regularly updated generic pre-evaluation of the safety of microorganisms intended for use in the food or feed chains. Safety concerns identified for a taxonomic unit (TU) are, where possible, confirmed at the species/strain or product level and reflected by ‘qualifications’ which should be assessed at strain and/or product level by EFSA's Scientific Panels. The generic qualification ‘the strains should not harbour any acquired antimicrobial resistance (AMR) genes to clinically relevant antimicrobials’ applies to all QPS bacterial TUs. The different EFSA risk assessment areas use the same approach to assess the qualification related to AMR genes. In this statement, the terms ‘intrinsic’ and ‘acquired’ AMR genes were defined for the purpose of EFSA's risk assessments, and they apply to bacteria used in the food and feed chains. A bioinformatic approach is proposed for demonstrating the ‘intrinsic’/’acquired’ nature of an AMR gene. All AMR genes that confer resistance towards ‘critically important’, ‘highly important’ and ‘important’ antimicrobials, as defined by the World Health Organisation (WHO), found as hits, need to be considered as hazards (for humans, animals and environment) and need further assessment. Genes identified as responsible for ‘intrinsic’ resistance could be considered as being of no concern in the frame of the EFSA risk assessment. ‘Acquired’ AMR genes resulting in a resistant phenotype should be considered as a concern. If the presence of the ‘acquired’ AMR gene is not leading to phenotypic resistance, further case-by-case assessment is necessary
39. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 12: Tetracyclines: tetracycline, chlortetracycline, oxytetracycline, and doxycycline
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Hilbert, Friederike, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
[EN] The specific concentrations of tetracycline, chlortetracycline, oxytetracycline and doxycycline in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for these four tetracyclines was estimated. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tetracycline, chlortetracycline, oxytetracycline, whilst for doxycycline no suitable data for the assessment were available. Uncertainties and data gaps associated with the levels reported were addressed. It was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC for these antimicrobials
40. Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 8: Pleuromutilins: tiamulin and valnemulin
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Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, Peixe, Luisa, Tecnologia de los Alimentos, Koutsoumanis, Konstantinos, Allende, Ana, Álvarez Ordóñez, Avelino, Bolton, Declan, Bover‐Cid, Sara, Chemaly, Marianne, Davies, Robert, De Cesare, Alessandra, Herman, Lieve, Lindqvist, Roland, Nauta, Maarten, Ru, Giuseppe, Simmons, Marion, Skandamis, Panagiotis, Suffredini, Elisabetta, Andersson, Dan I, Bampidis, Vasileios, Bengtsson‐Palme, Johan, Bouchard, Damien, Ferran, Aude, Kouba, Maryline, López Puente, Secundino, López Alonso, Marta, Nielsen, Søren Saxmose, Pechová, Alena, Petkova, Mariana, Girault, Sebastien, Broglia, Alessandro, Guerra, Beatriz, Innocenti, Matteo Lorenzo, Liébana, Ernesto, López Gálvez, Gloria, Manini, Paola, Stella, Pietro, and Peixe, Luisa
- Abstract
[EN] The specific concentrations of tiamulin and valnemulin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tiamulin, while for valnemulin no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these two antimicrobials.
41. Statement on how to interpret the QPS qualification on 'acquired antimicrobial resistance genes'.
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, De Cesare A, Hilbert F, Lindqvist R, Nauta M, Nonno R, Peixe L, Ru G, Simmons M, Skandamis P, Suffredini E, Cocconcelli PS, Suarez JE, Fernández EN, Istace F, Aguillera J, Brozzi R, Liébana E, Guerra B, Correia S, and Herman L
- Abstract
The qualified presumption of safety (QPS) approach was developed to provide a regularly updated generic pre-evaluation of the safety of microorganisms intended for use in the food or feed chains. Safety concerns identified for a taxonomic unit (TU) are, where possible, confirmed at the species/strain or product level and reflected by 'qualifications' which should be assessed at strain and/or product level by EFSA's Scientific Panels. The generic qualification 'the strains should not harbour any acquired antimicrobial resistance (AMR) genes to clinically relevant antimicrobials' applies to all QPS bacterial TUs. The different EFSA risk assessment areas use the same approach to assess the qualification related to AMR genes. In this statement, the terms 'intrinsic' and 'acquired' AMR genes were defined for the purpose of EFSA's risk assessments, and they apply to bacteria used in the food and feed chains. A bioinformatic approach is proposed for demonstrating the 'intrinsic'/'acquired' nature of an AMR gene. All AMR genes that confer resistance towards 'critically important', 'highly important' and 'important' antimicrobials, as defined by the World Health Organisation (WHO), found as hits, need to be considered as hazards (for humans, animals and environment) and need further assessment. Genes identified as responsible for 'intrinsic' resistance could be considered as being of no concern in the frame of the EFSA risk assessment. 'Acquired' AMR genes resulting in a resistant phenotype should be considered as a concern. If the presence of the 'acquired' AMR gene is not leading to phenotypic resistance, further case-by-case assessment is necessary., (© 2023 European Food Safety Authority. EFSA Journal published by Wiley‐VCH GmbH on behalf of European Food Safety Authority.)
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- 2023
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42. Transmission of antimicrobial resistance (AMR) during animal transport.
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Koutsoumanis K, Allende A, Álvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Argüello-Rodríguez H, Dohmen W, Magistrali CF, Padalino B, Tenhagen BA, Threlfall J, García-Fierro R, Guerra B, Liébana E, Stella P, and Peixe L
- Abstract
The transmission of antimicrobial resistance (AMR) between food-producing animals (poultry, cattle and pigs) during short journeys (< 8 h) and long journeys (> 8 h) directed to other farms or to the slaughterhouse lairage (directly or with intermediate stops at assembly centres or control posts, mainly transported by road) was assessed. Among the identified risk factors contributing to the probability of transmission of antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs), the ones considered more important are the resistance status (presence of ARB/ARGs) of the animals pre-transport, increased faecal shedding, hygiene of the areas and vehicles, exposure to other animals carrying and/or shedding ARB/ARGs (especially between animals of different AMR loads and/or ARB/ARG types), exposure to contaminated lairage areas and duration of transport. There are nevertheless no data whereby differences between journeys shorter or longer than 8 h can be assessed. Strategies that would reduce the probability of AMR transmission, for all animal categories include minimising the duration of transport, proper cleaning and disinfection, appropriate transport planning, organising the transport in relation to AMR criteria (transport logistics), improving animal health and welfare and/or biosecurity immediately prior to and during transport, ensuring the thermal comfort of the animals and animal segregation. Most of the aforementioned measures have similar validity if applied at lairage, assembly centres and control posts. Data gaps relating to the risk factors and the effectiveness of mitigation measures have been identified, with consequent research needs in both the short and longer term listed. Quantification of the impact of animal transportation compared to the contribution of other stages of the food-production chain, and the interplay of duration with all risk factors on the transmission of ARB/ARGs during transport and journey breaks, were identified as urgent research needs., (© 2022 Wiley‐VCH Verlag GmbH & Co. KgaA on behalf of the European Food Safety Authority.)
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- 2022
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43. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 1: Methodology, general data gaps and uncertainties .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The European Commission requested EFSA to assess, in collaboration with EMA, the specific concentrations of antimicrobials resulting from cross-contamination in non-target feed for food-producing animals below which there would not be an effect on the emergence of, and/or selection for, resistance in microbial agents relevant for human and animal health, as well as the levels of the antimicrobials which could have a growth promotion/increase yield effect. The assessment was performed for 24 antimicrobial active substances, as specified in the mandate. This scientific opinion describes the methodology used, and the main associated data gaps and uncertainties. To estimate the antimicrobial levels in the non-target feed that would not result in emergence of, and/or selection for, resistance, a model was developed. This 'Feed Antimicrobial Resistance Selection Concentration' (FARSC) model is based on the minimal selective concentration (MSC), or the predicted MSC (PMSC) if MSC for the most susceptible bacterial species is unavailable, the fraction of antimicrobial dose available for exposure to microorganisms in the large intestine or rumen (considering pharmacokinetic parameters), the daily faecal output or rumen volume and the daily feed intake. Currently, lack of data prevents the establishment of PMSC and/or FARSC for several antimicrobials and animal species. To address growth promotion, data from an extensive literature search were used. Specific assessments of the different substances grouped by antimicrobial classes are addressed in separate scientific opinions. General conclusions and recommendations were made., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
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- 2021
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44. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 9: Polymyxins: colistin .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of colistin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of colistin in feed that showed to have an effect on growth promotion/increased yield were reported. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
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- 2021
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45. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 6: Macrolides: tilmicosin, tylosin and tylvalosin .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of tilmicosin, tylosin and tylvalosin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield, were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tilmicosin and tylosin, whilst for tylvalosin no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these three antimicrobials., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
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- 2021
- Full Text
- View/download PDF
46. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 8: Pleuromutilins: tiamulin and valnemulin .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of tiamulin and valnemulin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tiamulin, while for valnemulin no suitable data for the assessment were available. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these two antimicrobials., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
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- 2021
- Full Text
- View/download PDF
47. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 5: Lincosamides: lincomycin .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of lincomycin in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels of lincomycin in feed that showed to have an effect on growth promotion/increased yield were reported. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for lincomycin., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
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- 2021
- Full Text
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48. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 12: Tetracyclines: tetracycline, chlortetracycline, oxytetracycline, and doxycycline .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of tetracycline, chlortetracycline, oxytetracycline and doxycycline in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for these four tetracyclines was estimated. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tetracycline, chlortetracycline, oxytetracycline, whilst for doxycycline no suitable data for the assessment were available. Uncertainties and data gaps associated with the levels reported were addressed. It was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC for these antimicrobials., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
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- 2021
- Full Text
- View/download PDF
49. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 7: Amphenicols: florfenicol and thiamphenicol .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of florfenicol and thiamphenicol in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield, were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for florfenicol was estimated. However, due to the lack of data, the calculation of the FARSC for thiamphenicol was not possible until further experimental data become available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for florfenicol, whilst for thiamphenicol no suitable data for the assessment were available. Uncertainties and data gaps associated to the levels reported were addressed. For florfenicol, it was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC, whereas for thiamphenicol, the recommendation was to generate the data required to fill the gaps which prevented the FARSC calculation., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
- Published
- 2021
- Full Text
- View/download PDF
50. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 11: Sulfonamides .
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Koutsoumanis K, Allende A, Alvarez-Ordóñez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson-Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López-Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López-Gálvez G, Manini P, Stella P, and Peixe L
- Abstract
The specific concentrations of sulfonamides in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties, are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. However, due to the lack of data on the parameters required to calculate the FARSC, it was not possible to conclude the assessment until further experimental data are available. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were identified for three sulfonamides: sulfamethazine, sulfathiazole and sulfamerazine. It was recommended to carry out studies to generate the data that are required to fill the gaps which prevented the calculation of the FARSC for these antimicrobials., (© 2021 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.)
- Published
- 2021
- Full Text
- View/download PDF
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