Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network
Antimicrobial resistance (AMR) surveillance of mycoplasmas of veterinary importance has been held back for years due to lack of harmonized methods for antimicrobial susceptibility testing (AST) and interpretative criteria, resulting in a crucial shortage of data. To address AMR in ruminant mycoplasm...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-06-01
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| Series: | Frontiers in Veterinary Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fvets.2021.667175/full |
| _version_ | 1819100655607873536 |
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| author | Maryne Jaÿ Maryne Jaÿ François Poumarat François Poumarat Adélie Colin Adélie Colin Agnès Tricot Agnès Tricot Florence Tardy Florence Tardy |
| author_facet | Maryne Jaÿ Maryne Jaÿ François Poumarat François Poumarat Adélie Colin Adélie Colin Agnès Tricot Agnès Tricot Florence Tardy Florence Tardy |
| author_sort | Maryne Jaÿ |
| collection | DOAJ |
| description | Antimicrobial resistance (AMR) surveillance of mycoplasmas of veterinary importance has been held back for years due to lack of harmonized methods for antimicrobial susceptibility testing (AST) and interpretative criteria, resulting in a crucial shortage of data. To address AMR in ruminant mycoplasmas, we mobilized a long-established clinical surveillance network called “Vigimyc.” Here we describe our surveillance strategy and detail the results obtained during a 2-year monitoring period. We also assess how far our system complies with current guidelines on AMR surveillance and how it could serve to build epidemiological cut-off values (ECOFFs), as a first attainable criterion to help harmonize monitoring efforts and move forward to clinical breakpoints. Clinical surveillance through Vigimyc enables continuous collection, identification and preservation of Mycoplasma spp. isolates along with metadata. The most frequent pathogens, i.e., M. bovis and species belonging to M. mycoides group, show stable clinicoepidemiological trends and were included for annual AST. In the absence of interpretative criteria for ruminant mycoplasmas, we compared yearly minimum inhibitory concentration (MIC) results against reference datasets. We also ran a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis on the overall service provided by our AMR surveillance strategy. Results of the 2018–2019 surveillance campaign were consistent with the reference datasets, with M. bovis isolates showing high MIC values for all antimicrobial classes except fluoroquinolones, and species of the Mycoides group showing predominantly low MIC values. A few new AMR patterns were detected, such as M. bovis with lower spectinomycin MICs. Our reference dataset partially complied with European Committee on Antimicrobial Susceptibility Testing (EUCAST) requirements, and we were able to propose tentative epidemiological cut-off values (TECOFFs) for M. bovis with tilmicosin and spectinomycin and for M. mycoides group with tilmicosin and lincomycin. These TECOFFs were consistent with other published data and the clinical breakpoints of Pasteurellaceae, which are often used as surrogates for mycoplasmas. SWOT analysis highlighted the benefit of pairing clinical and antimicrobial resistance surveillance despite the AST method-related gaps that remain. The international community should now direct efforts toward AST method harmonization and clinical interpretation. |
| first_indexed | 2024-12-22T01:06:14Z |
| format | Article |
| id | doaj.art-2e2a723110cd40d5a6e7b4818fd72cfe |
| institution | Directory Open Access Journal |
| issn | 2297-1769 |
| language | English |
| last_indexed | 2024-12-22T01:06:14Z |
| publishDate | 2021-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Veterinary Science |
| spelling | doaj.art-2e2a723110cd40d5a6e7b4818fd72cfe2022-12-21T18:44:04ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692021-06-01810.3389/fvets.2021.667175667175Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance NetworkMaryne Jaÿ0Maryne Jaÿ1François Poumarat2François Poumarat3Adélie Colin4Adélie Colin5Agnès Tricot6Agnès Tricot7Florence Tardy8Florence Tardy9UMR Mycoplasmoses animales, Anses, Université de Lyon, Lyon, FranceUMR Mycoplasmoses animales, VetAgro Sup, Université de Lyon, Marcy-l'Étoile, FranceUMR Mycoplasmoses animales, Anses, Université de Lyon, Lyon, FranceUMR Mycoplasmoses animales, VetAgro Sup, Université de Lyon, Marcy-l'Étoile, FranceUMR Mycoplasmoses animales, Anses, Université de Lyon, Lyon, FranceUMR Mycoplasmoses animales, VetAgro Sup, Université de Lyon, Marcy-l'Étoile, FranceUMR Mycoplasmoses animales, Anses, Université de Lyon, Lyon, FranceUMR Mycoplasmoses animales, VetAgro Sup, Université de Lyon, Marcy-l'Étoile, FranceUMR Mycoplasmoses animales, Anses, Université de Lyon, Lyon, FranceUMR Mycoplasmoses animales, VetAgro Sup, Université de Lyon, Marcy-l'Étoile, FranceAntimicrobial resistance (AMR) surveillance of mycoplasmas of veterinary importance has been held back for years due to lack of harmonized methods for antimicrobial susceptibility testing (AST) and interpretative criteria, resulting in a crucial shortage of data. To address AMR in ruminant mycoplasmas, we mobilized a long-established clinical surveillance network called “Vigimyc.” Here we describe our surveillance strategy and detail the results obtained during a 2-year monitoring period. We also assess how far our system complies with current guidelines on AMR surveillance and how it could serve to build epidemiological cut-off values (ECOFFs), as a first attainable criterion to help harmonize monitoring efforts and move forward to clinical breakpoints. Clinical surveillance through Vigimyc enables continuous collection, identification and preservation of Mycoplasma spp. isolates along with metadata. The most frequent pathogens, i.e., M. bovis and species belonging to M. mycoides group, show stable clinicoepidemiological trends and were included for annual AST. In the absence of interpretative criteria for ruminant mycoplasmas, we compared yearly minimum inhibitory concentration (MIC) results against reference datasets. We also ran a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis on the overall service provided by our AMR surveillance strategy. Results of the 2018–2019 surveillance campaign were consistent with the reference datasets, with M. bovis isolates showing high MIC values for all antimicrobial classes except fluoroquinolones, and species of the Mycoides group showing predominantly low MIC values. A few new AMR patterns were detected, such as M. bovis with lower spectinomycin MICs. Our reference dataset partially complied with European Committee on Antimicrobial Susceptibility Testing (EUCAST) requirements, and we were able to propose tentative epidemiological cut-off values (TECOFFs) for M. bovis with tilmicosin and spectinomycin and for M. mycoides group with tilmicosin and lincomycin. These TECOFFs were consistent with other published data and the clinical breakpoints of Pasteurellaceae, which are often used as surrogates for mycoplasmas. SWOT analysis highlighted the benefit of pairing clinical and antimicrobial resistance surveillance despite the AST method-related gaps that remain. The international community should now direct efforts toward AST method harmonization and clinical interpretation.https://www.frontiersin.org/articles/10.3389/fvets.2021.667175/fullantimicrobial resistancesurveillancemycoplasmaruminantmethod standardization |
| spellingShingle | Maryne Jaÿ Maryne Jaÿ François Poumarat François Poumarat Adélie Colin Adélie Colin Agnès Tricot Agnès Tricot Florence Tardy Florence Tardy Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network Frontiers in Veterinary Science antimicrobial resistance surveillance mycoplasma ruminant method standardization |
| title | Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network |
| title_full | Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network |
| title_fullStr | Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network |
| title_full_unstemmed | Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network |
| title_short | Addressing the Antimicrobial Resistance of Ruminant Mycoplasmas Using a Clinical Surveillance Network |
| title_sort | addressing the antimicrobial resistance of ruminant mycoplasmas using a clinical surveillance network |
| topic | antimicrobial resistance surveillance mycoplasma ruminant method standardization |
| url | https://www.frontiersin.org/articles/10.3389/fvets.2021.667175/full |
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