Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics
Background Livestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agreement on the transmission dynamics that occur. Objectives To identify how genome sequencing approaches can be used to quantify the dynamics of AMR transmission at the human–livestock interface, and where current knowledge can be improved to better understand the impact of transmission on the spread of AMR. Sources Key articles investigating various aspects of AMR transmission at the human–livestock interface are discussed, with a focus on Escherichia coli. Content We recapitulate the current understanding of the transmission of AMR between humans and livestock based on current genomic and epidemiological approaches. We discuss how the use of well-designed, high-resolution genome sequencing studies can improve our understanding of the human–livestock interface. Implications A better understanding of the human–livestock interface will aid in the development of evidence-based and effective One Health interventions that can ultimately reduce the burden of AMR in humans.
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Format: | Journal Article biblioteca |
Language: | English |
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Elsevier
2020-12
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Subjects: | antimicrobial resistance, livestock, health, humans, genomics, |
Online Access: | https://hdl.handle.net/10568/110142 https://doi.org/10.1016/j.cmi.2020.09.019 |
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dig-cgspace-10568-1101422023-12-08T19:36:04Z Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics Wee, B.A. Muloi, D.M. Bunnik, B.A.D. van antimicrobial resistance livestock health humans genomics Background Livestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agreement on the transmission dynamics that occur. Objectives To identify how genome sequencing approaches can be used to quantify the dynamics of AMR transmission at the human–livestock interface, and where current knowledge can be improved to better understand the impact of transmission on the spread of AMR. Sources Key articles investigating various aspects of AMR transmission at the human–livestock interface are discussed, with a focus on Escherichia coli. Content We recapitulate the current understanding of the transmission of AMR between humans and livestock based on current genomic and epidemiological approaches. We discuss how the use of well-designed, high-resolution genome sequencing studies can improve our understanding of the human–livestock interface. Implications A better understanding of the human–livestock interface will aid in the development of evidence-based and effective One Health interventions that can ultimately reduce the burden of AMR in humans. 2020-12 2020-11-12T13:53:39Z 2020-11-12T13:53:39Z Journal Article Wee, B.A., Muloi, D.M. and Bunnik, B.A.D. van. 2020. Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics. Clinical Microbiology and Infection 26(12): 1612–1616. 1198-743X https://hdl.handle.net/10568/110142 https://doi.org/10.1016/j.cmi.2020.09.019 en CC-BY-4.0 Open Access p. 1612-1616 Elsevier Clinical Microbiology and Infection |
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antimicrobial resistance livestock health humans genomics antimicrobial resistance livestock health humans genomics |
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antimicrobial resistance livestock health humans genomics antimicrobial resistance livestock health humans genomics Wee, B.A. Muloi, D.M. Bunnik, B.A.D. van Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
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Background Livestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agreement on the transmission dynamics that occur. Objectives To identify how genome sequencing approaches can be used to quantify the dynamics of AMR transmission at the human–livestock interface, and where current knowledge can be improved to better understand the impact of transmission on the spread of AMR. Sources Key articles investigating various aspects of AMR transmission at the human–livestock interface are discussed, with a focus on Escherichia coli. Content We recapitulate the current understanding of the transmission of AMR between humans and livestock based on current genomic and epidemiological approaches. We discuss how the use of well-designed, high-resolution genome sequencing studies can improve our understanding of the human–livestock interface. Implications A better understanding of the human–livestock interface will aid in the development of evidence-based and effective One Health interventions that can ultimately reduce the burden of AMR in humans. |
format |
Journal Article |
topic_facet |
antimicrobial resistance livestock health humans genomics |
author |
Wee, B.A. Muloi, D.M. Bunnik, B.A.D. van |
author_facet |
Wee, B.A. Muloi, D.M. Bunnik, B.A.D. van |
author_sort |
Wee, B.A. |
title |
Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_short |
Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_full |
Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_fullStr |
Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_full_unstemmed |
Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_sort |
quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
publisher |
Elsevier |
publishDate |
2020-12 |
url |
https://hdl.handle.net/10568/110142 https://doi.org/10.1016/j.cmi.2020.09.019 |
work_keys_str_mv |
AT weeba quantifyingthetransmissionofantimicrobialresistanceatthehumanandlivestockinterfacewithgenomics AT muloidm quantifyingthetransmissionofantimicrobialresistanceatthehumanandlivestockinterfacewithgenomics AT bunnikbadvan quantifyingthetransmissionofantimicrobialresistanceatthehumanandlivestockinterfacewithgenomics |
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1787232029826351104 |