| Literature DB >> 24465637 |
Szilvia Vincze1, Ivonne Stamm2, Peter A Kopp2, Julia Hermes3, Cornelia Adlhoch3, Torsten Semmler1, Lothar H Wieler1, Antina Lübke-Becker1, Birgit Walther1.
Abstract
Staphylococcus (<span class="Species">S.) aureus is an important cause of wound infections in companion animals, and infections with methicillin-resistant S. aureus (MRSA) are of particular concern due to limited treatment options and their zoonotic potential. However, comparable epidemiological data on MRSA infections in dogs, cats and horses is scarce, also limiting the knowledge about possible links to MRSA isolates from human populations. To gain more knowledge about the occurrence and genotypic variation of MRSA among wound swabs of companion animal origin in Germany we performed a survey (2010-2012) including 5,229 samples from 1,170 veterinary practices. S. aureus was identified in 201 (5.8%) canine, 140 (12.2%) feline and 138 (22.8%) equine swabs from a total of 3,479 canine, 1,146 feline and 604 equine wounds, respectively. High MRSA rates were identified with 62.7%, 46.4% and 41.3% in S. aureus of canine, feline and equine origin, respectively. Further genotyping including spa typing and multilocus sequence typing (MLST) revealed a comparable distribution of spa types among canine and feline MRSA with CC22 (47.6%; 49.2%) and CC5 (30.2%; 29.2%) as predominant lineages followed by CC398 (13.5%; 7.7%) and CC8 (4.0%; 9.2%). In contrast, the majority of equine MRSA belonged to CC398 (87.7%). Our data highlight the importance of S. aureus and MRSA as a cause of wound infections, particularly in cats and horses in Germany. While "human-associated" MRSA lineages were most common in dogs and cats, a remarkable number of CC398-MRSA was detected in horses, indicating a replacement of CC8-MRSA as the predominant lineage within horses in Germany. These data enforce further longitudinal epidemiological approaches to examine the diversity and temporal relatedness of MRSA populations in humans and animals to assess probable sources of MRSA infections. This would enable a sound risk assessment and establishment of intervention strategies to limit the additional spread of MRSA.Entities:
Mesh:
Year: 2014 PMID: 24465637 PMCID: PMC3896405 DOI: 10.1371/journal.pone.0085656
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Sample origin.
Figure 1 shows the Germany-wide origin of the 5,229 wound swabs from dogs, cats and horses. Areas are shaped in color with regard to the sample frequency. Black dots represent the sample origin with regard to the postal code. The dot size displays the submission frequency of each veterinary practice/clinic.
S. aureus proportion in wound samples from companion animals.
| total | % | dog | % | cat | % | horse | % | |
|
| 5,229 | 100 | 3,479 | 66.5 | 1,146 | 21.9 | 604 | 11.6 |
|
| 479 | 100 | 201 | 5.8 | 140 | 12.2 | 138 | 22.8 |
| MSSA | 231 | 48.2 | 75 | 2.2 | 75 | 6.5 | 81 | 13.4 |
| MRSA | 248 | 51.8 | 126 | 3.6 | 65 | 5.7 | 57 | 9.4 |
Spa type frequency and predicted clonal complexes based on spa typing and MLST for representative MRSA from wound infections of canine, feline and equine origin in Germany.
| MRSA | ||||
| CC |
| dog (n = 121) | cat (n = 62) | horse (57) |
|
| t127 | 0 | 0 | 1 |
|
| t002 | 1 | 1 | 0 |
| t003 | 31 | 17 | 1 | |
| t045 | 4 | 1 | 0 | |
| t1007 | 1 | 0 | 0 | |
| t264 | 1 | 0 | 0 | |
|
| t008 | 2 | 6 | 0 |
| t009 | 1 | 0 | 4 | |
| t024 | 1 | 0 | 0 | |
| t12131 | 0 | 0 | 1 | |
| t036 | 1 | 0 | 0 | |
|
| t1430 | 1 | 0 | 0 |
|
| t016 | 0 | 1 | 0 |
| t020 | 0 | 4 | 0 | |
| t022 | 11 | 6 | 0 | |
| t032 | 43 | 17 | 0 | |
| t3846 | 0 | 1 | 0 | |
| t294 | 1 | 0 | 0 | |
| t557 | 1 | 0 | 0 | |
| t613 | 0 | 1 | 0 | |
| t1292 | 1 | 0 | 0 | |
| t747 | 2 | 0 | 0 | |
| t7982 | 0 | 2 | 0 | |
| t910 | 1 | 0 | 0 | |
|
| t278 | 0 | 1 | 0 |
|
| t011 | 10 | 5 | 24 |
| t034 | 2 | 0 | 0 | |
| t108 | 1 | 0 | 0 | |
| t6867 | 4 | 0 | 24 | |
| t10643 | 0 | 0 | 2 | |
Figure 2Overview of lineage-diversity among MRSA from dogs, cats and horses.
Phenotypic resistance for 241 MRSA grouped according to their clonal complexes.
| CC | CC22 | CC5 | CC398 | CC8 | CC1 | CC9 | ST599 |
| total number | n = 92 | n = 58 | n = 72 | n = 16 | n = 1 | n = 1 | n = 1 |
| GEN | 3 (3.3%) | 2 (3.4%) | 57 (79.2%) | 7 (43.8%) | 0 | 0 | 0 |
| KAN | 3 (3.3%) | 35 (60.3%) | 58 (80.6%) | 14 (87.5%) | 1 | 0 | 0 |
| ENR | 90 (97.8%) | 57 (98.2%) | 28 (38.9%) | 14 (87.5%) | 0 | 1 | 0 |
| MAR | 90 (97.8%) | 57 (98.2%) | 30 (41.7%) | 14 (87.5%) | 0 | 1 | 0 |
| ERY | 32 (34.8%) | 57 (98.2%) | 7 (9.7%) | 3 (18.8%) | 1 | 1 | 0 |
| CLI | 34 (37.0%) | 57 (98.2%) | 8 (11.1%) | 2 (12.5%) | 1 | 1 | 0 |
| TET | 7 (7.6%) | 1 (1.7%) | 68 (94.4%) | 7 (43.8%) | 1 | 1 | 0 |
| NIT | 0 | 0 | 0 | 2 (12.5%) | 0 | 0 | 0 |
| CHL | 1 (1.1%) | 0 | 0 | 0 | 0 | 0 | 0 |
| SXT | 1 (1.1%) | 1 (1.7%) | 25 (34.7%) | 6 (37.5%) | 0 | 1 | 0 |
Number (n) and percentage (%) of resistant strains according to VITEK®2 system (bioMérieux, Germany).
Abbreviations: GEN: gentamicin, KAN: kanamycin, ENR: enrofloxacin, MAR: marbofloxacin, ERY: erythromycin, CLI: clindamycin, TET: tetracycline, NIT: nitrofurantoin, CHL: chloramphenicol and SXT: trimethoprim- sulfamethoxazole.