Evidence map›Paper›PMID 41462247›Full record

ArticleBMC veterinary research2025

Advancing standardization of diagnostics and antimicrobial susceptibility testing for pathogenic mycoplasmas of livestock origin: insights from the MyMIC network.

Maryne Jaÿ, Sara M Klose, Marco Bottinelli, Tiina Autio, Claire A M Becker, Jade Bokma, Cécile Boland, Filip Boyen, Salvatore Catania, Katarzyna Dudek and 16 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Maryne Jaÿ *Université de Lyon, UMR Mycoplasmoses Animales, ANSES, VetAgro Sup, Lyon, France.
Sara M Klose *Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC, 3010, Australia.
Marco Bottinelli *Mycoplasma unit, WOAH reference laboratory for Avian Mycoplasmosis, Istituto Zooprofilattico Sperimentale delle Venezie, via Bovolino 1c, Buttapietra (VR), 37060, Italy.
Tiina AutioAnimal Health Diagnostic Unit, Laboratory and Research Division, Finnish Food Authority, Kuopio, 70210, Finland.
Claire A M BeckerUniversité de Lyon, UMR Mycoplasmoses Animales, ANSES, VetAgro Sup, Lyon, France.
Jade BokmaFaculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, B- 9820, Belgium.
Cécile BolandSciensano, Veterinary Bacteriology, Ixelles, Belgium.
Filip BoyenFaculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, B- 9820, Belgium.
Salvatore CataniaMycoplasma unit, WOAH reference laboratory for Avian Mycoplasmosis, Istituto Zooprofilattico Sperimentale delle Venezie, via Bovolino 1c, Buttapietra (VR), 37060, Italy.
Katarzyna DudekDepartment of Bacteriology and Bacterial Animal Diseases, National Veterinary Research Institute, Pulawy, Poland.
Emma HurriDepartment of Animal Health and Antimicrobial Strategies, Swedish Veterinary Agency (SVA), Uppsala, SE-751 89, Sweden.
Anneke FeberweeRoyal GD, Deventer, The Netherlands.
Miklós GyuraneczHUN-REN Veterinary Medical Research Institute, Budapest, Hungary.
Inna LysnyanskyMycoplasma Unit, Kimron Veterinary Institute, Beit Dagan, 50250, Israel.
Lucía Manso-SilvánCIRAD UMR ASTRE, INRAE, Université de Montpellier, Montpellier, F- 34398, France.
Franca Möller Palau-RibesClinic for Birds, Reptiles, Amphibians and Fish, Justus-Liebig University Gießen , Gießen, Germany.
Ana S RamirezVeterinary Faculty, Unidad de Epidemiología y Medicina Preventiva, IUSA, Universidad de Las Palmas de Gran Canaria, Arucas - Las Palmas, Spain.
Anne RidleyDepartment of Bacteriology, Animal and Plant Health Agency, Addlestone, Surrey, KT15 3NB, United Kingdom.
Joachim SpergserUniversity of Veterinary Medicine Vienna (Vetmeduni), Vienna, 1210, Austria.
Paola K VazAsia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC, 3010, Australia.
Nadeeka WawegamaAsia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC, 3010, Australia.
Jeanine WiegelRoyal GD, Deventer, The Netherlands.
Annet E HeuvelinkRoyal GD, Deventer, The Netherlands.
Gudrun OvereschInstitute of Veterinary Bacteriology, University of Bern, Bern, Switzerland.
Anne V Gautier-BouchardonLaboratoire de Ploufragan-Plouzané-Niort, Unité Mycoplasmologie, Bactériologie et Antibiorésistance, ANSES, Ploufragan, France.
Florence TardyLaboratoire de Ploufragan-Plouzané-Niort, Unité Mycoplasmologie, Bactériologie et Antibiorésistance, ANSES, Ploufragan, France. florence.tardy@anses.fr.ORCID http://orcid.org/0000-0003-3968-4801

Funding

Agence Nationale de la Recherche ANR-22-AMRG-0001
6 · The paper itself

Abstract

backgroundMycoplasma infections pose a significant economic burden and represent a serious health and welfare concern for the livestock sector. Their control often requires repeated antimicrobial treatments. Antimicrobial susceptibility testing (AST) procedures for veterinary mycoplasmas lack standardization. Furthermore, clinical breakpoints (CBPs) are not available to interpret AST data (i.e., Minimum Inhibitory Concentration, MIC values) and categorize isolates as susceptible, resistant, or intermediate to the different antimicrobials used in livestock, nor epidemiological cut-offs (ECOFFs), which are a prerequisite to define CBPs. In 2023, the MyMIC network - a consortium of 22 laboratories specializing in veterinary mycoplasmas- was established to support efforts in standardizing diagnostics and AST, including clinical interpretation. Its initial goals were to (i) review routine diagnostic practices in frontline laboratories and examine veterinarians' prescribing habits and (ii) assess practices for culture, identification and AST used in expert laboratories and how these practices may affect MIC results as collected for five major livestock pathogens (M. bovis, M. gallisepticum, M. synoviae, M. hyopneumoniae and M. hyorhinis).

resultsA first survey targeting veterinarians from the avian, porcine, and ruminant livestock sectors provided 468 complete responses from 39 countries worldwide, giving an account of current trends in the treatment and first-line diagnosis of veterinary mycoplasmoses. Macrolides, tetracyclines, pleuromutilins, florfenicol and fluoroquinolones were the most frequently administered antimicrobials, with usage varying by livestock sector. Veterinarians reported requesting diagnostic in 40-75% of clinical cases, but only one-third requested AST regularly. A separate survey within the consortium highlighted significant variability in the media and methods used by specialized laboratories, particularly for MIC determination, which relied mostly on in-house broth dilution techniques. This methodological diversity limited our ability to aggregate collected MIC data for establishing ECOFFs.

conclusionsSeveral concerns regarding best practices for antimicrobial treatments of mycoplasma infections may be linked to the lack of AST in frontline laboratories. Based on information collected in expert laboratories, we identified multiple sources contributing to inconsistent MIC results. The next step will be to establish consensus gold-standard AST methods tailored to specific mycoplasma-antimicrobial combinations to generate reliable MIC data for defining ECOFFs. Subsequently, the development of ready-to-use commercial MIC plates for use in frontline laboratory will support veterinarians in selecting appropriate treatments.

Indexed as

Anti-Bacterial AgentsMycoplasmaMycoplasma InfectionsAnimalsLivestockMicrobial Sensitivity TestsSwineAnti-Bacterial AgentsAntimicrobial susceptibility testing (AST)DiagnosisLivestockMinimum inhibitory concentration (MIC)MycoplasmaVeterinary practices

Identifiers

PMID41462247
PMCPMC12751987

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.