Evidence map›Paper›PMID 42791583›Full record

ArticleActa veterinaria Scandinavica2026

Antibiotic susceptibility of mastitis pathogens in Finnish dairy cows in 2022-2023: concerning changes in the penicillin susceptibility of Streptococcus uberis.

Suvi Nykäsenoja, Thomas Grönthal, Päivi Rajala-Schultz, Tiina Autio

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Article in Acta veterinaria Scandinavica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Suvi Nykäsenoja *Microbiology Unit, Laboratory and Research Division, Finnish Food Authority, Mustialankatu 3, FI-00790, Helsinki, Finland. suvi.nykasenoja@ruokavirasto.fi.ORCID http://orcid.org/0000-0002-4254-6613
Thomas Grönthal *Animal Health Diagnostic Unit, Laboratory and Research Division, Finnish Food Authority, Mustialankatu 3, FI-00790, Helsinki, Finland.
Päivi Rajala-SchultzDepartment of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Paroninkuja 20, FI-04920, Saarentaus, Finland.
Tiina AutioAnimal Health Diagnostic Unit, Laboratory and Research Division, Finnish Food Authority, Neulaniementie 4, FI-70210, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntramammary infections are the most common reason for antibiotic use in dairy cattle. A multiplex PCR has become the mainstay in determining the causative mastitis pathogens in Finland. However, this method does not allow the monitoring of antibiotic resistance among mastitis pathogens. The aim of this study was to assess antibiotic susceptibility among common bacterial pathogens isolated from mastitis milk specimens in Finland. Specimens were collected on dairy farms from cows suffering from mastitis and analysed with the PathoProof™ Mastitis Complete-16 PCR assay. Specimens with moderate or large amounts of Staphylococcus aureus, Streptococcus agalactiae, Streptococcus uberis, Streptococcus dysgalactiae, Escherichia coli, Klebsiella sp. and non-aureus staphylococci (NAS) were cultured and susceptibility testing was performed with the broth microdilution method. Susceptibility results were categorised as wild type (WT) and non-wild type (NWT) according to epidemiological cut-off values. Resistance to penicillin among S. aureus and NAS was assessed based on phenotypic beta-lactamase production. Only one bacterial isolate was included per species and farm.

resultsIn total, 502 bacterial isolates from 220 farms were tested for susceptibility. The most common bacterial species isolated was S. aureus (n = 126), followed by NAS (n = 124), S. uberis (n = 79), S. dysgalactiae (n = 74) and E. coli (n = 70). The proportions of NWT isolates were generally low, with the notable outlier being S. uberis, for which 42% (95% CI: 31.5-52.8) of the isolates was classified as NWT to penicillin. Furthermore, 38% (95% CI: 29.9-46.7) of the NAS isolates produced beta-lactamase. Only 4% (95% CI: 1.7-9.0) of the S. aureus isolates produced beta-lactamase, and no methicillin resistance was detected. All E. coli were classified as WT to fluoroquinolones, and no extended-spectrum beta-lactamase (ESBL)-producing isolates were discovered.

conclusionsAntibiotic susceptibility among bacteria in clinical mastitis is favourable. However, the proportion of Streptococcus uberis isolates classified as NWT to penicillin has increased over the past ten years, and continued surveillance is warranted.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialMastitis, BovinePenicillin ResistancePenicillinsStreptococcal InfectionsStreptococcusAnimalsCattleFemaleFinlandMicrobial Sensitivity TestsAnti-Bacterial AgentsPenicillinsAntibiotic resistanceAntibiotic susceptibilityMastitisStreptococcus uberis

Identifiers

PMID42791583
PMCPMC13613593

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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.