Evidence map›Paper›PMID 41432965›Full record

ArticleVeterinary research communications2025

Characterization of Staphylococci colonizing healthy equine skin: antibiotic resistance, virulence factors, and biofilm formation.

Viola Strompfová, Lucia Štempelová, Dobroslava Bujňáková, Lívia Karahutová, Dajana Gondoľová, Mária Nagyová, Leonard Siegfried

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Article in Veterinary research communications, 2025. 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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5 · Who and what money

Authors and funding

7 authors.

Viola StrompfováCentre of Biosciences of the Slovak Academy of Sciences, Institute of Animal Physiology, Šoltésovej 4-6, Košice, 040 01, Slovakia.
Lucia ŠtempelováCentre of Biosciences of the Slovak Academy of Sciences, Institute of Animal Physiology, Šoltésovej 4-6, Košice, 040 01, Slovakia. stempelova@saske.sk.ORCID http://orcid.org/0000-0002-5840-7482
Dobroslava BujňákováCentre of Biosciences of the Slovak Academy of Sciences, Institute of Animal Physiology, Šoltésovej 4-6, Košice, 040 01, Slovakia.
Lívia KarahutováCentre of Biosciences of the Slovak Academy of Sciences, Institute of Animal Physiology, Šoltésovej 4-6, Košice, 040 01, Slovakia.
Dajana GondoľováCentre of Biosciences of the Slovak Academy of Sciences, Institute of Animal Physiology, Šoltésovej 4-6, Košice, 040 01, Slovakia.
Mária NagyováFaculty of Medicine, Department of Medical and Clinical Microbiology, University of P. J. Šafárik in Košice, Trieda SNP 1, Košice, 040 11, Slovakia.
Leonard SiegfriedFaculty of Medicine, Department of Medical and Clinical Microbiology, University of P. J. Šafárik in Košice, Trieda SNP 1, Košice, 040 11, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to develop non-antibiotic therapies to treat dermatological diseases it is urgent to spread knowledge on composition and properties of skin bacteria in healthy animals. Since horses are popular companions of humans, it is necessary to know what risk skin bacteria pose to humans. Therefore the aim of this work was to analyse species composition of staphylococci isolated from skin swabs of 50 healthy horses using MALDI-TOF (Matrix-Assisted Laser Desorption/Ionization Time-of-Flight) spectrometry and to characterize their virulence properties. Swabs were collected from five body areas (neck, dorsal back, abdomen, pastern and muzzle). Among 19 different staphylococcal species identified, the most common species were Staphylococcus succinus, S. xylosus, S. vitulinus and S. warneri. The most frequent antimicrobial resistance in staphylococcal isolates was observed for penicillin G (48%). The blaZ gene was detected in 90% of penicillin resistant isolates while mecA and mecC genes were not observed. Only low level resistance was noted for erythromycin (12%), tetracycline (6%), linezolid (4%) and oxacillin (4%). No multidrug-resistant strain was found, the MAR (multiple antibiotic resistant) index in average was 0.048 ± 0.039. Biofilm production was observed in 90.1% of isolates whereas 62% of them showed strong production. Gelatinase, DNase, protease and lipase activity was found in 50.4%, 41.3%, 22.3% and 46.3% of isolates, respectively. The results of enzyme activities testing using API ZYM kits (BioMérieux) revealed common production of acid and alkaline phosphatase, esterase, esterase lipase and napthtol-AS-BI-phosphohydrolase. The caution when interacting with horses is important especially in the case of injury since their staphylococci showed many virulent characteristics however they were not multi-resistant.

Indexed as

BiofilmsDrug Resistance, BacterialSkinStaphylococcusVirulence FactorsAnimalsAnti-Bacterial AgentsHorsesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Bacterial AgentsVirulence FactorsHorseMicrobiotaSkinStaphylococciVirulence

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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.