RT Journal Article
T1 A tool to enhance antimicrobial stewardship using similarity networks to identify antimicrobial resistance patterns across farms
A1 Aguilar Vega, Cecilia
A1 Scoglio, Caterina
A1 Clavijo, María J.
A1 Robbins, Rebecca
A1 Karriker, Locke
A1 Liu, Xin
A1 Martínez López, Beatriz
AB Antimicrobial resistance (AMR) is one of the major challenges of the century and should be addressed with a One Health approach. This study aimed to develop a tool that can provide a better understanding of AMR patterns and improve management practices in swine production systems to reduce its spread between farms. We generated similarity networks based on the phenotypic AMR pattern for each farm with information on important bacterial pathogens for swine farming based on the Euclidean distance. We included seven pathogens: Actinobacillus suis, Bordetella bronchiseptica, Escherichia coli, Glaesserella parasuis, Pasteurella multocida, Salmonella spp., and Streptococcus suis; and up to seventeen antibiotics from ten classes. A threshold criterion was developed to reduce the density of the networks and generate communities based on their AMR profiles. A total of 479 farms were included in the study although not all bacteria information was available on each farm. We observed significant differences in the morphology, number of nodes and characteristics of pathogen networks, as well as in the number of communities and susceptibility profiles of the pathogens to different antimicrobial drugs. The methodology presented here could be a useful tool to improve health management, biosecurity measures and prioritize interventions to reduce AMR spread in swine farming.
SN 2045-2322
YR 2023
FD 2023-02-20
LK https://hdl.handle.net/20.500.14352/107577
UL https://hdl.handle.net/20.500.14352/107577
LA eng
NO Aguilar-Vega, C., Scoglio, C., Clavijo, M.J. et al. A tool to enhance antimicrobial stewardship using similarity networks to identify antimicrobial resistance patterns across farms. Sci Rep 13, 2931 (2023). https://doi.org/10.1038/s41598-023-29980-4
NO Author contributions C.A.V., C.S. and B.M.L. conceived the studies, C.A.V. developed and performed the analyses, C.A.V., C.S., B.M.L., X.L., M.J.C., R.R. and L.K. reviewed the methods and analyzed the results, C.A.V. and C.S. made the fgures,C.A.V. wrote the manuscript, which all authors reviewed, edited, and approved.Data availability: The datasets analyzed during the current study are not publicly available due to confdentiality reasons and restrictions on the availability of these data, but are available from the corresponding author on reasonablerequest and with permission of the data provider.Supplementary Information Te online version contains supplementary material available at https://doi.org/10.1038/s41598-023-29980-4.
NO NSF-BIGDATA
NO NSF-Convergence Accelerator Phase I/Phase II
NO USDA-NIFA
NO Ministerio de Ciencia, Innovación y Universidades
DS Docta Complutense
RD 9 abr 2025