Related Experiment Video
Updated: Aug 30, 2025

Training Dogs for Awake, Unrestrained Functional Magnetic Resonance Imaging
Published on: October 13, 2019
The nose is not enough: Multi-site sampling is best for MRSP detection in dogs and households
Sian-Marie Frosini1, Ross Bond1, Ruth H King1
1Department of Clinical Sciences and Services, Royal Veterinary College, Hatfield, Hertfordshire, UK.
Background:
Following recovery from meticillin-resistant Staphylococcus pseudintermedius (MRSP) infection of any type, dogs may continue to carry MRSP asymptomatically on skin and mucosae, contributing to the spread of this multidrug-resistant, veterinary hospital-associated pathogen with zoonotic potential to others and into the environment.
Objectives:
This study determined which canine anatomic and household environmental sites are most sensitive for sampling to identify carriage and contamination.
Methods And Materials:
Fifty-one dogs and 22 households, MRSP-positive on at least one tested site, were sampled on 132 and 40 occasions over time, respectively. Dogs were swabbed at six sites (mouth, nose, conjunctiva, skin, prepuce/vulva, perianal area); household environments were sampled using contact plates (mannitol salt agar [MSA] and MSA + 6 mg/L oxacillin [MS+]) on five sites. MRSP was isolated after enrichment, grown on MSA/MS+ and was confirmed by PCR. Generalized estimating equations were used for calculation of sensitivity (95% confidence interval) for each site/combination.
Results:
Each anatomical and environmental site yielded MRSP at least once. MRSP was isolated from only a single site in 27.3% of dogs, with the buccal mucosa showing the highest sensitivity (63.8%). Multi-site sampling of a minimum of four canine anatomical or four environmental sites, respectively, was needed to achieve >95% sensitivity.
Conclusions And Clinical Relevance:
The canine buccal mucosa should be included in MRSP sampling protocols, ideally in addition to at least three other anatomical sites. Likewise, environment sampling should be of multiple household sites in cases where it is used as a part of clinical case management.
Insights
Canine buccal mucosa is the most sensitive site for detecting methicillin-resistant Staphylococcus pseudintermedius (MRSP) carriage. Multi-site sampling of dogs and households is crucial for accurate MRSP detection and control.
Area of Science:
- Veterinary Microbiology
- Infectious Diseases
- One Health
Background:
- Meticillin-resistant Staphylococcus pseudintermedius (MRSP) is a multidrug-resistant pathogen with zoonotic potential.
- Asymptomatic carriage of MRSP in dogs post-infection can lead to environmental and inter-species transmission.
- Understanding MRSP shedding sites is critical for effective control in veterinary settings.
Purpose of the Study:
- To identify the most sensitive canine anatomical and household environmental sites for MRSP detection.
- To guide sampling strategies for identifying MRSP carriage and contamination.
- To inform clinical case management and infection control protocols.
Main Methods:
- Swab sampling of six anatomical sites in 51 dogs and five environmental sites in 22 households.
- MRSP isolation and confirmation using selective media (MSA/MS+) and PCR.
- Statistical analysis using generalized estimating equations to determine sampling site sensitivity.
Main Results:
- MRSP was detected at all sampled anatomical and environmental sites.
- Canine buccal mucosa demonstrated the highest sensitivity (63.8%) for MRSP detection.
- Sampling at a minimum of four anatomical or environmental sites achieved >95% sensitivity for MRSP detection.
Conclusions:
- Inclusion of canine buccal mucosa in MRSP sampling protocols is recommended.
- Multi-site sampling of at least four anatomical or environmental locations is necessary for comprehensive MRSP detection.
- Targeted environmental sampling of multiple household sites aids in clinical case management of MRSP.
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...

