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Comparative study of Exhaust Air Dust (EAD ® ) testing and traditional bedding sentinels for health monitoring in IVC rack systems Dr. S. Durand*, Dr. M. Brielmeier **, Dr. A. Gobbi***, Dr. K. Henderson**** *Veterinary and Professional Services, Charles River, Lyon, France **Research Unit Comparative Medicine, Neuherberg, Germany ***Cogentech , Milano, Italy ****RADS, Charles River, Wilmington, USA 1 INTRODUCTION 2 MATERIAL AND METHODS 3 RESULTS 4 CONCLUSION Alternative health monitoring such as Exhaust Air Dust (EAD®) PCR testing is a new method designed to improve the detection of pathogens. EAD® can be easily collected with in-line capture media available in different IVC rack systems. Three independent research groups (Max Planck Institute-Frankfurt; Helmholtz Zentrum- Munich, Cogentech Research Center- Milano) performed a health monitoring comparison study. They compared the accuracy of environmental health monitoring by using an in line EAD® filter in IVC racks (N=26) to the traditional bedding sentinel methodology. Each facility cleaned between 2-5 air handling units (AHU, Tecniplast) with different types of rack clusters (between 1 to 4 single or double racks linked to the AHU). In total, the study included 9 AHU’s with 26 IVC racks. Each sample type was pre-processed and DNA/RNA was extracted using a total nucleic acid isolation kit. Sample nucleic acid was screened by individual single-plex PCR assays on a real time open array PCR platform. Semi quantification was performed to define copy number per reaction. Test specimens at 1, 2 and 3 months included base line swabs, prefilter swabs (N=7) and in-line EAD® filters (Interceptor, N=15) for environmental samples. At 3 months, soiled bedding sentinels (N=26) were sent to laboratories for traditional testing including bacteriology, serology, parasitology and PCR (Fig. 1). Post cleaning, baseline PCR tests were all negative except for one sample which was found positive for Pasteurella pneumotropica at very low copy number (1-10 copies)(data not shown). Figure 3: Average copy number/µl of nucleic acid Figure 2: Percentage of detected agents EAD® testing is an effective method for health monitoring: it improves the detection of pathogens as compared to soiled bedding sentinels in IVC racks EAD® testing can help reduce the number of sentinel animals needed per experiment: It’s a positive way to apply the 3R’s in an animal facility. Figure 1: Sample collection Base line after cleaning = plenum swabs (N=15) Interceptor @ 1 month Interceptor @ 2 months Interceptor @ 3 months N(15) Pre filters swabs @ 3 months N= 7 Soiled bedding sentinel animals @ 3 months N= 26 PCR testing for 55 mouse agents Bacteriology + serology + parasitology + PCR The data showed a significant increase in detection rate with the filter media. Overall, the average percentage of detected agents using the media filter was 7 time higher as compared to the sentinels (Table 1). Table 1: Percentage of detected agents Most of the agents were detected after 1 month of exposure (Fig. 2). Agents such as S. aureus, P. aeruginosa showed a delayed detection at 2 or 3 months (Fig.2). Helicobater spp showed the highest copy number where as S. aureus showed the lowest copy number (Fig.3). Opportunistic agents such as S. aureus shedded at a very low rate in immunocomptent mice. Acknowledgements : A. Yarali, Dr. Mombaerts from Max Planck Institute, Frankfurt Dr Miller from Helmholtz Zentrum, Munich DMV G. Milite from Techniplast C. Perkins, the molecular diagnostic team, M. Sender, M. Galasso from CRL Agents Soiled bedding sentinels Interceptor (N=15) Prefilter swabs (N=7) Virus MNV 42,3% 46,7% 42,86% bacteria Pasteurella pneumotropica-Jawetz 3,8% 53,3% 85,71% Pasteruella pneumotropica-Heyl 0,0% 60,0% 57,1% Helicobacter genus 23,1% 100,0% 100,0% Helicobacter hepaticus 7,7% 60,0% 85,7% Helicobacter ganmani 0,0% 80,0% 100,0% Helicobater mastomyrinus 0,0% 46,7% 57,1% Helicobater typhlonius 0,0% 73,3% 100,0% Pseudomonas aeruginosa 7,7% 0,0% 42,9% Staphylococcus aureus 0,0% 20,0% 28,6% parasites Myocoptes musculinus 0,0% 6,7% 14,29% Entamoeba 3,8% 40,0% 28,57% Average 7,4% 48,9% 61,9% swab 0% 20% 40% 60% 80% 100% Interceptor 1 month Interceptor 2 months Interceptor 3 months prefilter swabs 3 months 1.0 10.0 100.0 1000.0 10000.0 Interceptor 1 month Interceptor 2 month Interceptor 3 month prefilter swabs 3 months

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Comparative study of Exhaust Air Dust (EAD®) testing and traditional bedding sentinels for health monitoring in IVC rack systemsDr. S. Durand*, Dr. M. Brielmeier **, Dr. A. Gobbi***, Dr. K. Henderson*****Veterinary and Professional Services, Charles River, Lyon, France**Research Unit Comparative Medicine, Neuherberg, Germany***Cogentech , Milano, Italy****RADS, Charles River, Wilmington, USA

1 INTRODUCTION

2 MATERIAL AND METHODS

3 RESULTS

4 CONCLUSION

Alternative health monitoring such as Exhaust Air Dust (EAD®) PCR testingis a new method designed to improve the detection of pathogens. EAD®can be easily collected with in-line capture media available in different IVCrack systems.Three independent research groups (Max Planck Institute-Frankfurt;Helmholtz Zentrum- Munich, Cogentech Research Center- Milano)performed a health monitoring comparison study.They compared the accuracy of environmental health monitoring by usingan in line EAD® filter in IVC racks (N=26) to the traditional bedding sentinelmethodology.

Each facility cleaned between 2-5 air handling units (AHU, Tecniplast) with different types of rack clusters (between 1 to 4 single or double rackslinked to the AHU). In total, the study included 9 AHU’s with 26 IVC racks. Each sample type was pre-processed and DNA/RNA was extractedusing a total nucleic acid isolation kit. Sample nucleic acid was screened by individual single-plex PCR assays on a real time open array PCRplatform. Semi quantification was performed to define copy number per reaction. Test specimens at 1, 2 and 3 months included base line swabs,prefilter swabs (N=7) and in-line EAD® filters (Interceptor, N=15) for environmental samples. At 3 months, soiled bedding sentinels (N=26) weresent to laboratories for traditional testing including bacteriology, serology, parasitology and PCR (Fig. 1).

Post cleaning, baseline PCR tests were all negative except for one sample which was foundpositive for Pasteurella pneumotropica at very low copy number (1-10 copies)(data notshown).

Figure 3: Average copy number/µl of nucleic acid

Figure 2: Percentage of detected agents

EAD® testing is an effective method for health monitoring: it improves the detection ofpathogens as compared to soiled bedding sentinels in IVC racks

EAD® testing can help reduce the number of sentinel animals needed per experiment:It’s a positive way to apply the 3R’s in an animal facility.

Figure 1: Sample collection

Base line after cleaning = plenum swabs (N=15)

Interceptor @ 1 monthInterceptor @ 2 monthsInterceptor @ 3 monthsN(15)

Pre filters swabs @ 3 monthsN= 7

Soiled bedding sentinel animals @ 3 monthsN= 26

PCR testing for 55 mouse agents

Bacteriology+ serology +parasitology+ PCR

The data showed a significantincrease in detection rate with thefilter media. Overall, the averagepercentage of detected agents usingthe media filter was 7 time higher ascompared to the sentinels (Table 1).

Table 1: Percentage of detected agents

Most of the agents were detectedafter 1 month of exposure (Fig. 2).Agents such as S. aureus, P.aeruginosa showed a delayeddetection at 2 or 3 months (Fig.2).

Helicobater spp showed the highestcopy number where as S. aureusshowed the lowest copy number(Fig.3). Opportunistic agents suchas S. aureus shedded at a very lowrate in immunocomptent mice.

Acknowledgements : A. Yarali, Dr. Mombaerts from Max Planck Institute, Frankfurt Dr Miller from Helmholtz Zentrum, MunichDMV G. Milite from TechniplastC. Perkins, the molecular diagnostic team, M. Sender, M. Galasso from CRL

Agents

Soiledbeddingsentinels

Interceptor(N=15)

Prefilterswabs (N=7)

Virus MNV 42,3% 46,7% 42,86%bacteriaPasteurella pneumotropica-Jawetz 3,8% 53,3% 85,71%Pasteruella pneumotropica-Heyl 0,0% 60,0% 57,1%Helicobacter genus 23,1% 100,0% 100,0%Helicobacter hepaticus 7,7% 60,0% 85,7%Helicobacter ganmani 0,0% 80,0% 100,0%Helicobater mastomyrinus 0,0% 46,7% 57,1%Helicobater typhlonius 0,0% 73,3% 100,0%Pseudomonas aeruginosa 7,7% 0,0% 42,9%Staphylococcus aureus 0,0% 20,0% 28,6%parasitesMyocoptes musculinus 0,0% 6,7% 14,29%Entamoeba 3,8% 40,0% 28,57%

Average 7,4% 48,9% 61,9%

swab

0%

20%

40%

60%

80%

100%

Interceptor 1month

Interceptor 2months

Interceptor 3months

prefilter swabs3 months

1.0

10.0

100.0

1000.0

10000.0 Interceptor 1month

Interceptor 2month

Interceptor 3month

prefilter swabs3 months