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THE EVOLUTION OF PRRS CONTROL EFFORTS
AND NEW MODELS OF VACCINE ASSESSMENT
Mike Roof, PhD
Executive Director Bio R&D
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 2
THE GOOD, THE BAD, AND THE UGLY….
Wrong/Unsuccessful PRRS Control
• Industry wasted a lot of time and $$
trying to solve PRRS problems with
vaccines and antibiotics without
correcting pig management and bio
security. “Solution in a bottle”
• Rambo vaccine programs
• Many “PRRS”problems were caused by
Secondary agents
• SEW,MEW,3 Site, AIAO alone were not
a PRRS solution
• Did not use proper Dx and surveillance
tools
• Live viral exposure
Correct/Successful PRRS Control
• Proper Dx and surveillance
• Have a clear and defined target
• Target PRRS control as a POPULATION
• Control programs must be at the whole
herd level and must include the growing
pig
• Proper gilt isolation / acclimation
• Where, when, and how to most
effectively use vaccines
• PRRS vaccine alone is not the solution
and MUST be used with stringent
biosecurity and management
Content Provided by Dr Dale Polson
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 3
THREE DECADES OF PRRS CONTROL
EFFORTS
(DECADE 1)
Decade 1 – Virus characterization
• Viral genetics and diversity
• Differences between virus
(phenotype)
• Mixed infections
• Host response to PRRS
• Focus was on the individual virus
and individual pig response
1994 Swenson PRRS inboar semen
1995 Yoon PRRS antigenic diversity androle inDx
1995 Yoon PRRS humoral response
1995 Christopher-HenningsPersistence of PRRS inserum andsemen
1996 Mengeling Comparisonbetweenstrains onreproductive failure
1996 Mengeling Aleolar macrophages for PRRS detection
1997 Will PRRS route of excretion
1997 Lager Durationof homologous immunity ingilts
1997 Addreyev Genetic variationbasedonORF 5 sequence
1999 Yoon Effect of dose androute onPRRS
1999 Mengeling Dx implicationof a mixedPRRS infection
1999 Mengeling Protective immunity ingilts withNADC 8
1999 Wesley Use of RFLP to differentiate PRRS isolates
1999 Mengeling Diagnostic implications of multiple isolate PRRS exposure
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 4
THREE DECADES OF PRRS CONTROL
(DECADE 2)
Decade 2 – Aerosols, Fomites,
Transmission
• Viral stability both genetically as well as
in the environment
• Fomites
• Mechanical transmission
• Initial methods for area surveillance
• Forms of PRRS control
• Disinfection
• Filters
• More defined PRRS virus
characterization
• Homo/hetero protection
• Duration of…..
• Age, route, dose
2001 Cho Influence of isolate on pathogenicity (aerosol)
2001 Yoon Genetic and antigenic stability of PRRS
2002 Otake Mosquitoes
2002 Batista Duration of persistance and shedding
2002 Dee Mechanical transmission
2002 Chang Evolution of PRRS during sequential passage in pigs
2003 Otake Biological vectors for PRRS
2003 Otake Housefly and PRRS survival
2003 Lager Strain predominance following multi-strain exposure
2003 Mengeling Safety and efficacy of PRRS strains
2004 Dee Intervention strategies to prevent mechanical spread
2004 Johnson Pathology and humoral response is dose dependent in acute
2005 Dee Disinectants for transport vehicles
2005 Dee Thermo-assisted drying for vehicles
2005 Schurrer PRRS in house fly
2006 Cho Impact of animal age, bacteria, and isolate on shedding
2006 Dee Alternate air-filtration system
2006 Dee Filtration to reduce viral transmission
2006 Fang PRRS infectious clone
2007 Cano Vaccination on homologous viral infection
2007 Cano Vaccination on heterologous viral infection
2007 Hermann Effect of Temp and humidity on PRRS
2008 Prickett Oral fluids
2009 Pitkin Regional models for aerosol spread
2009 Pitkin Fomites and person
2009 Pitkin House fly and PRRS
2009 Dee Alternate strategies to Merv 16 filters
2009 Hermann Dose response estimates of airborne PRRS
2009 Klinge PRRS replication is pig age dependent
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 5
THREE DECADES OF PRRS CONTROL
(DECADE 3)
Decade 3 – The Regional/Pop.
Approach
• Regional Control programs
• Disease Bio-Portal
• Oral fluid detection and Dx for
groups of pigs
• Regional Diversity of PRRS
• Group assessment (not pig)
• PRRS shedding/Control of shedding
of groups of pigs
• Focus on regions, Group dynamics,
and population methods
2010 Dee Regional models andfiltrationefficacy
2010 Prickett Oral basedfluiddiagnostics
2010 Ellingson PRRSvaccine chimera as a vaccine
2011 Dee UV light to inactivate PRRS
2011 Holtkamp Classificationof PRRSstatus swine herds
2012 Dee Longtermeffect of airfiltrationonnew PRRSinfect
2012 Linhares Effect of PRRSMLV onsheddingof wt virus
2012 Ramirez Efficient surveillance of pigs populations ugins oral fluid
2013 Olsen Probability of PRRSdetectionvia penbasedoral fluids
2014 Brito Genetic diversity of PRRScollectedinairfromdiff regions
2014 Alonso Epidemiological study of airfiltrationinlarge herds
2017 Rotolo Samplingmethods forgrouphousedanimals
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 6
AREA COORDINATED DISEASE CONTROL:
TOOLS, METHODS & COLLABORATIONS
TARGETING PRRS
“1,000 foot view…”
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 7
AREA COORDINATED DISEASE CONTROL:
TOOLS, METHODS & COLLABORATIONS
TARGETING PRRS
“100,000 foot view…”
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 8
AREA COORDINATED DISEASE CONTROL:
TOOLS, METHODS & COLLABORATIONS
TARGETING PRRS
“1,000 mile view…”
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 9
VACCINE LICENSURE REQUIREMENTS
USDA – Memorandum 800.202
Memorandum addresses basic
principles for conducting efficacy
studies for biological products
• Statistically significant (USDA method)
• Prevent CLINICAL disease or reduce
clinical severity
• Do not accept serology
• Reduction in the magnitude of shedding
are typically not sufficient to support
efficacy.
• Lab based studies carry most weight
EMEA - Europe
EU memorandum for conducting
efficacy studies
• Statistically significant
• Prevent clinical disease or reduce
clinical severity
• Will accept shedding or reduced
magnitude of shedding due to a vaccine
effect for some pathogens.
• Will accept production data (ADG)
• Heavy weight on field efficacy supported
by lab studies
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 10
VACCINE ASSESSMENT – CLINICAL FOCUS!!
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 11
ROLE OF VACCINE FOR PRRS CONTROL
Direct benefit – proven reduced clinical disease following wild type exposure in
heterologous challenge studies
• Pig model – % lung lesions
• Sow Model – reproductive performance
With a POPULATION and REGIONAL focus we need to consider different models
to evaluate vaccines to supplement the clinical picture
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 12
MODEL #1 – PRRS “SHIELD” MODEL (I.E.
ROGER MAIN MODEL)
What is the effect of challenge dose in vaccinated pigs?
1. What challenge dose of virulent PRRSV is required to cause infection and
consequences of infection in a vaccinated animal?
• viremia, fever, reduced ADWG
• How does vaccination impact the host PRRS status to various dose exposures?
2. Is there a challenge dose where vaccination prevents consequences of
infection?
• Does vaccine “blunt” or “shield” a pig from PRRS infection at any level?
• Aerosols, fomites, and transmission with lower levels of PRRS exposure (vs pig to pig)
• Applications to regional control programs
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 13
STUDY DESIGN
Randomized, blinded vaccination-challenge study
Pigs used for the study were 3 weeks of age and PRRSV naïve; confirmed
PCR negative for PRRSV
Statistics
• Results summarized via descriptive statistics by day, challenge dose and group
• For number days pyrexic and ADWG post-challenge
• P-value < 0.05 was used to indicate statistical significance
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 14
STUDY DESIGN
Group
No. Inglevac
PRRS® MLV
Vaccinated
Pigs
(2ml IM)
No. Non-
vaccinated
Challenge
Control
Pigs
PRRSV
SDSU-73
Challenge
Dosage
(Log10TCID50/
ml)
(2ml IN)
Study
Termination
Day 0 Day 0 Day 28 Day 70
1 10 10 4 logs
2 10 10 3 logs
3 10 10 2 logs
4 10 10 1 log
5 10 - None
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 15
STUDY DESIGN
Parameter Day
Viremia PCR (+/-) 0, 7,14, 21, 28, 31, 33, 35, 38, 42, and
weekly thereafter until day 70
Temperature
(Pyrexia defined as a rectal temp >
40.0°C)
Day 27
Daily for 14 days until Day 42
ADWG 0, 28, 70
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 16
RESULTS – INTERPRETATION AND
CONSIDERATIONS
• Viremia is measured by PCR which was the most conservative evaluation and
measure of vaccination impact.
• At high CT values that are PCR positive, we expect many of these
samples would be virus isolation negative or very low levels of virus
• Current PCR results did not differentiate between Ingelvac and SDSU 73
and so data needs assessed by GROUP comparison of Ingelvac only vs
Vacc/Exposed.
• Future opportunities that are being considered
• Complete virus isolation
• Assess via differential PCR
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 17
RESULTS – VIREMIA 4LOG CHALLENGE
0%
20%
40%
60%
80%
100%
120%
28 31 33 35 38 42 49 56 63 70
%PCRPositive
Days
Ingelvac
PRRS® MLV
(challenge)
Challenge
Control (non-
vaccinated)
Ingelvac
PRRS® MLV
(no challenge)
Figure 1. Percentage of viremic pigs per treatment group challenged with 4 logs
Reduction in post-
challenge viremia
in vaccinates
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 18
RESULTS – VIREMIA 2LOG CHALLENGE
0%
20%
40%
60%
80%
100%
120%
28 31 33 35 38 42 49 56 63 70
%PCRPositive
Days
Ingelvac PRRS®
MLV (challenge)
Challenge
Control (non-
vaccinated)
Ingelvac PRRS®
MLV (no
challenge)
Figure 2. Percentage of viremic pigs per treatment group challenged with 2 logsVaccinates
similar to non-
challenged pigs
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 19
RESULTS – VIREMIA FOLLOWING 2 LOG VIRUS
CHALLENGE
Average CT Values per Group Challenged w/ 2 Logs of Virus
20
RESULTS – PYREXIA/FEVER (40 C)
Mean Number Days Pyrexic Post-Challenge
Treatment Group
4 log
challenge
3 log
challenge
2 log
challenge
1 log
challenge
No
challenge
Ingelvac PRRS®
MLV
4.41 4.21 1.01 1.41 1.8
Challenge Control
(non-vaccinated)
11.2 8.8 10.0 6.0 -
Vaccinated groups had significant decrease
in fever days and maintained lower
average temperature at all challenge doses
Measurable negative impact in
non-vaccinated challenged groups
at all challenge doses
Vaccinates
not different
than non-
challenge
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 21
ROLE OF VACCINE - QUESTIONS
Is there a challenge dose where vaccination prevents consequences of
infection?
 At a challenge of 2 logs or less, the consequences of challenge in
vaccinated pigs were similar to non-challenged pigs
 At all challenge doses, Ingelvac® PRRS MLV mitigated the consequences of
infection as compared to challenge controls using the SDSU 73 wt virus
ADWG Viremia Temperature
↑ ↓ ↓
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 22
USING THIS MODEL – CAN WE MOVE VACCINE
EFFICACY FROM 2 LOGS OF RESISTANCE TO
SOMETHING HIGHER ( 3 LOGS!?)
Group Treatment #Pigs Vaccination
(Inglevac)
Challenge* Necropsy
1 PBS Control 36 None Day 56 Day 126
2 Ingelvac
PRRS
36 Day 0 Day 56 Day 126
3 Ingelvac
PRRS
36 Day 0, 28 Day 56 Day 126
4 Ingelvac
PRRS +
Immunostimulant
36 Day 0 Day 56 Day 126
• Challenge with 3 logs/dose of PRRS SDSU 73 wt virus (1 ml IN/1ml IM)
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 23
PCR ASSESSMENT OF THE POST-
VACCINATION EXPOSURE ( CT VALUES
REPORTED)
0.00
2.50
5.00
7.50
10.00
12.50
15.00
17.50
20.00
22.50
25.00
27.50
30.00
32.50
35.00
D56 D57 D59 D61 D63 D70 D77 D84
Control
PRRS 1ds
PRRS 2ds
PRRS + Imm
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 24
LOW DOSE WT EXPOSURE/VACCINE
BLUNTING EFFECT
Conclusions:
• In contrast to a model focused on clinical disease (6 logs wt chall), the 3 log model
(SDSU73) provided consistent result.
• Model may benefit from later exposure (day 56) so most animals are PCR Neg at
the time of wt exposure (reduced complexity)
• In the current test system, neither 2 dose of vaccine nor an immunostimulant
changed the post-challenge exposure PCR compared to a single dose of Ingelvac
PRRS vaccine.
• A single dose of Ingelvac PRRS remains the benchmark for efficacy and provided a
significant reduction on post-challenge viremia reduction.
• Model can/will be used to evaluate further treatments relative to their ability to
increase the “shielding” effect of vaccine when used in regional control programs.
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 25
MODEL #2 – BIO FILTER MODEL
Background:
• Zimmerman/Bio-assay – The real truth lies in the pig!
• Mengeling and the PRRS cocktail
• There currently is no definitive in vitro tool to define a “protected herd”
• Methods and tools have evolved – Bio Portal and NGS
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 26
BIO FILTER – THE HYPOTHESIS
• Hypothesis – Using the immune pig as the test system, we can expose small groups of
animals to a defined pools of PRRS isolates, and then use the pig to biologically filter
the isolates most likely to evade the current immune status.
• Implications:
• Better regional decisions/risk management
• Information is relevant to herd and region based on field based pigs and regional
PRRS isolates
• A tool that could be used by our larger integrated systems for on going herd
monitoring
• Use of new tools such Next Gen Sequencing
• If the tool is predictive of isolates that lead to a break, can we model herd
treatments to reduce the impact or stop the break?
• Does vaccine selection impact the result of the Bio-filter and PRRS response?
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 27
NGS PRRSV MIXED INFECTION STUDY DESIGN
• Experimentally mixed PRRSV at
approximately equal inputs at varied
ratios
• NextGen sequencing performed on
mixed samples to determine level of
sensitivity to detect mixed infection.
• Dilutions performed in both media and
PRRSV free media to approximate both
field and laboratory conditions.
• Samples also submitted to diagnostic
labs for detection; including a 1:1 mix not
analyzed by NextGen
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 28
NGS: EXAMPLE OF GRAPHICAL ALIGNMENT OF
MIXED INFECTION
• Example: 10 to 1 mixture in serum
• Snap-shot look at positions 10,132 – 10,181 (ORF1B) with percentages of sequences corresponding to
MLV and Field strain by sequence
• Across entire genome using data from 789 positions reveal a mixed infection of:
• MLV = 78.21%
• Field strain = 20.31%
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 29
SUMMARY OF RESULTS
Conclusions:
• Theoretical maximum limit of detection of mixed infection as low as 0.5%.
• Estimated level of high confidence detection of recombination as low as 1%
• Additional benefits of using NGS include:
• Generation of full genome sequence
• Detection of both presence and position of recombination
• Identical samples submitted to 2 independent diagnostic labs failed to detect mixed infection (all returned as
“MLV”) for all dilutions shown above
• Submission of 1:1 experimentally mixed sample was returned as “Mixed infection” from both labs
Sample Diluent % MLV %Field
MLV:Field 10:1 Media 78.69 20.66
MLV:Field 10:1 Serum 78.21 20.31
MLV:Field 100:1 Media 95.45 3.93
MLV:Field 100:1 Serum 95.09 4.41
MLV: Field 1,000:1 Media 99.06 0.86
MLV:Field 1,000:1 Serum 99.18 0.67
MLV:Field 10,000:1 Media 99.09 0.84
MLV:Field 10,000:1 Serum 99.03 0.89
Base line N/A 99.19 0.39
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 30
BIO-FILTER – STUDY DESIGN TO TEST THE
CONCEPT
Testing
• Focus is NOT on clinical disease
• Focus on relative viral load over time and compare between treatments (PCR)
• Next Gen Sequencing to characterize the viral pool in vivo
• Are there differences in the viral pool dynamic based on previous immune treatment
Results – Stay Tuned…In Progress
Group Treatment (Day 0) Challenge ( D=28) End of Study
1 Ingelvac PRRS ATP 3 isolate pool Day 42
2 Ingelvac PRRS 3 isolate pool Day 42
3 Experimental PRRS
Vaccine (MLV)
3 isolate pool Day 42
4 Neg Controls (PBS) 3 isolate pool Day 42
Presentation title, date, author 31
HOW DOES THIS HELP!?
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 32
TAKE HOME MESSAGES
Relevance in the field
For pigs or populations of pigs at risk of challenge/infection vaccine derived immunity
matters!
• Direct benefit – Reduced clinical impact in vaccinated pigs following wt exposure
• Indirect benefit
• Reduced viral load in pig and viral shedding (including aerosol)
• “Shielding” of low level exposure to further reduce risk
• Focus on reduced viral levels may be important in area control programs
• New models may improve risk management and new approach's for incremental gain
• in vitro results vs Bio assay
• Does knowing the isolate of highest risk allow better decisions?
• Can changes in vaccine use/immune status impact the results of a regional PRRS pool exposure?
The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 33
INGELVAC® PRRS
Mitigate Consequences +
Generate Uniform Immunity +
Reduce Circulating Virus =
Improved Health & Performance
Thank you!!!!
SPECIAL THANKS TO THE FOLLOWING CONTRIBUTORS TO THIS PRESENTATION
DALE POLSON • GREG HAIWICK • ABBY PATTERSON • JOE VICTORIA • WES JOHNSON
34

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Dr. Mike Roof - Current status - "State of the Union" - PRRS vaccine research

  • 1. THE EVOLUTION OF PRRS CONTROL EFFORTS AND NEW MODELS OF VACCINE ASSESSMENT Mike Roof, PhD Executive Director Bio R&D
  • 2. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 2 THE GOOD, THE BAD, AND THE UGLY…. Wrong/Unsuccessful PRRS Control • Industry wasted a lot of time and $$ trying to solve PRRS problems with vaccines and antibiotics without correcting pig management and bio security. “Solution in a bottle” • Rambo vaccine programs • Many “PRRS”problems were caused by Secondary agents • SEW,MEW,3 Site, AIAO alone were not a PRRS solution • Did not use proper Dx and surveillance tools • Live viral exposure Correct/Successful PRRS Control • Proper Dx and surveillance • Have a clear and defined target • Target PRRS control as a POPULATION • Control programs must be at the whole herd level and must include the growing pig • Proper gilt isolation / acclimation • Where, when, and how to most effectively use vaccines • PRRS vaccine alone is not the solution and MUST be used with stringent biosecurity and management Content Provided by Dr Dale Polson
  • 3. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 3 THREE DECADES OF PRRS CONTROL EFFORTS (DECADE 1) Decade 1 – Virus characterization • Viral genetics and diversity • Differences between virus (phenotype) • Mixed infections • Host response to PRRS • Focus was on the individual virus and individual pig response 1994 Swenson PRRS inboar semen 1995 Yoon PRRS antigenic diversity androle inDx 1995 Yoon PRRS humoral response 1995 Christopher-HenningsPersistence of PRRS inserum andsemen 1996 Mengeling Comparisonbetweenstrains onreproductive failure 1996 Mengeling Aleolar macrophages for PRRS detection 1997 Will PRRS route of excretion 1997 Lager Durationof homologous immunity ingilts 1997 Addreyev Genetic variationbasedonORF 5 sequence 1999 Yoon Effect of dose androute onPRRS 1999 Mengeling Dx implicationof a mixedPRRS infection 1999 Mengeling Protective immunity ingilts withNADC 8 1999 Wesley Use of RFLP to differentiate PRRS isolates 1999 Mengeling Diagnostic implications of multiple isolate PRRS exposure
  • 4. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 4 THREE DECADES OF PRRS CONTROL (DECADE 2) Decade 2 – Aerosols, Fomites, Transmission • Viral stability both genetically as well as in the environment • Fomites • Mechanical transmission • Initial methods for area surveillance • Forms of PRRS control • Disinfection • Filters • More defined PRRS virus characterization • Homo/hetero protection • Duration of….. • Age, route, dose 2001 Cho Influence of isolate on pathogenicity (aerosol) 2001 Yoon Genetic and antigenic stability of PRRS 2002 Otake Mosquitoes 2002 Batista Duration of persistance and shedding 2002 Dee Mechanical transmission 2002 Chang Evolution of PRRS during sequential passage in pigs 2003 Otake Biological vectors for PRRS 2003 Otake Housefly and PRRS survival 2003 Lager Strain predominance following multi-strain exposure 2003 Mengeling Safety and efficacy of PRRS strains 2004 Dee Intervention strategies to prevent mechanical spread 2004 Johnson Pathology and humoral response is dose dependent in acute 2005 Dee Disinectants for transport vehicles 2005 Dee Thermo-assisted drying for vehicles 2005 Schurrer PRRS in house fly 2006 Cho Impact of animal age, bacteria, and isolate on shedding 2006 Dee Alternate air-filtration system 2006 Dee Filtration to reduce viral transmission 2006 Fang PRRS infectious clone 2007 Cano Vaccination on homologous viral infection 2007 Cano Vaccination on heterologous viral infection 2007 Hermann Effect of Temp and humidity on PRRS 2008 Prickett Oral fluids 2009 Pitkin Regional models for aerosol spread 2009 Pitkin Fomites and person 2009 Pitkin House fly and PRRS 2009 Dee Alternate strategies to Merv 16 filters 2009 Hermann Dose response estimates of airborne PRRS 2009 Klinge PRRS replication is pig age dependent
  • 5. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 5 THREE DECADES OF PRRS CONTROL (DECADE 3) Decade 3 – The Regional/Pop. Approach • Regional Control programs • Disease Bio-Portal • Oral fluid detection and Dx for groups of pigs • Regional Diversity of PRRS • Group assessment (not pig) • PRRS shedding/Control of shedding of groups of pigs • Focus on regions, Group dynamics, and population methods 2010 Dee Regional models andfiltrationefficacy 2010 Prickett Oral basedfluiddiagnostics 2010 Ellingson PRRSvaccine chimera as a vaccine 2011 Dee UV light to inactivate PRRS 2011 Holtkamp Classificationof PRRSstatus swine herds 2012 Dee Longtermeffect of airfiltrationonnew PRRSinfect 2012 Linhares Effect of PRRSMLV onsheddingof wt virus 2012 Ramirez Efficient surveillance of pigs populations ugins oral fluid 2013 Olsen Probability of PRRSdetectionvia penbasedoral fluids 2014 Brito Genetic diversity of PRRScollectedinairfromdiff regions 2014 Alonso Epidemiological study of airfiltrationinlarge herds 2017 Rotolo Samplingmethods forgrouphousedanimals
  • 6. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 6 AREA COORDINATED DISEASE CONTROL: TOOLS, METHODS & COLLABORATIONS TARGETING PRRS “1,000 foot view…”
  • 7. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 7 AREA COORDINATED DISEASE CONTROL: TOOLS, METHODS & COLLABORATIONS TARGETING PRRS “100,000 foot view…”
  • 8. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 8 AREA COORDINATED DISEASE CONTROL: TOOLS, METHODS & COLLABORATIONS TARGETING PRRS “1,000 mile view…”
  • 9. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 9 VACCINE LICENSURE REQUIREMENTS USDA – Memorandum 800.202 Memorandum addresses basic principles for conducting efficacy studies for biological products • Statistically significant (USDA method) • Prevent CLINICAL disease or reduce clinical severity • Do not accept serology • Reduction in the magnitude of shedding are typically not sufficient to support efficacy. • Lab based studies carry most weight EMEA - Europe EU memorandum for conducting efficacy studies • Statistically significant • Prevent clinical disease or reduce clinical severity • Will accept shedding or reduced magnitude of shedding due to a vaccine effect for some pathogens. • Will accept production data (ADG) • Heavy weight on field efficacy supported by lab studies
  • 10. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 10 VACCINE ASSESSMENT – CLINICAL FOCUS!!
  • 11. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 11 ROLE OF VACCINE FOR PRRS CONTROL Direct benefit – proven reduced clinical disease following wild type exposure in heterologous challenge studies • Pig model – % lung lesions • Sow Model – reproductive performance With a POPULATION and REGIONAL focus we need to consider different models to evaluate vaccines to supplement the clinical picture
  • 12. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 12 MODEL #1 – PRRS “SHIELD” MODEL (I.E. ROGER MAIN MODEL) What is the effect of challenge dose in vaccinated pigs? 1. What challenge dose of virulent PRRSV is required to cause infection and consequences of infection in a vaccinated animal? • viremia, fever, reduced ADWG • How does vaccination impact the host PRRS status to various dose exposures? 2. Is there a challenge dose where vaccination prevents consequences of infection? • Does vaccine “blunt” or “shield” a pig from PRRS infection at any level? • Aerosols, fomites, and transmission with lower levels of PRRS exposure (vs pig to pig) • Applications to regional control programs
  • 13. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 13 STUDY DESIGN Randomized, blinded vaccination-challenge study Pigs used for the study were 3 weeks of age and PRRSV naïve; confirmed PCR negative for PRRSV Statistics • Results summarized via descriptive statistics by day, challenge dose and group • For number days pyrexic and ADWG post-challenge • P-value < 0.05 was used to indicate statistical significance
  • 14. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 14 STUDY DESIGN Group No. Inglevac PRRS® MLV Vaccinated Pigs (2ml IM) No. Non- vaccinated Challenge Control Pigs PRRSV SDSU-73 Challenge Dosage (Log10TCID50/ ml) (2ml IN) Study Termination Day 0 Day 0 Day 28 Day 70 1 10 10 4 logs 2 10 10 3 logs 3 10 10 2 logs 4 10 10 1 log 5 10 - None
  • 15. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 15 STUDY DESIGN Parameter Day Viremia PCR (+/-) 0, 7,14, 21, 28, 31, 33, 35, 38, 42, and weekly thereafter until day 70 Temperature (Pyrexia defined as a rectal temp > 40.0°C) Day 27 Daily for 14 days until Day 42 ADWG 0, 28, 70
  • 16. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 16 RESULTS – INTERPRETATION AND CONSIDERATIONS • Viremia is measured by PCR which was the most conservative evaluation and measure of vaccination impact. • At high CT values that are PCR positive, we expect many of these samples would be virus isolation negative or very low levels of virus • Current PCR results did not differentiate between Ingelvac and SDSU 73 and so data needs assessed by GROUP comparison of Ingelvac only vs Vacc/Exposed. • Future opportunities that are being considered • Complete virus isolation • Assess via differential PCR
  • 17. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 17 RESULTS – VIREMIA 4LOG CHALLENGE 0% 20% 40% 60% 80% 100% 120% 28 31 33 35 38 42 49 56 63 70 %PCRPositive Days Ingelvac PRRS® MLV (challenge) Challenge Control (non- vaccinated) Ingelvac PRRS® MLV (no challenge) Figure 1. Percentage of viremic pigs per treatment group challenged with 4 logs Reduction in post- challenge viremia in vaccinates
  • 18. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 18 RESULTS – VIREMIA 2LOG CHALLENGE 0% 20% 40% 60% 80% 100% 120% 28 31 33 35 38 42 49 56 63 70 %PCRPositive Days Ingelvac PRRS® MLV (challenge) Challenge Control (non- vaccinated) Ingelvac PRRS® MLV (no challenge) Figure 2. Percentage of viremic pigs per treatment group challenged with 2 logsVaccinates similar to non- challenged pigs
  • 19. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 19 RESULTS – VIREMIA FOLLOWING 2 LOG VIRUS CHALLENGE Average CT Values per Group Challenged w/ 2 Logs of Virus
  • 20. 20 RESULTS – PYREXIA/FEVER (40 C) Mean Number Days Pyrexic Post-Challenge Treatment Group 4 log challenge 3 log challenge 2 log challenge 1 log challenge No challenge Ingelvac PRRS® MLV 4.41 4.21 1.01 1.41 1.8 Challenge Control (non-vaccinated) 11.2 8.8 10.0 6.0 - Vaccinated groups had significant decrease in fever days and maintained lower average temperature at all challenge doses Measurable negative impact in non-vaccinated challenged groups at all challenge doses Vaccinates not different than non- challenge
  • 21. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 21 ROLE OF VACCINE - QUESTIONS Is there a challenge dose where vaccination prevents consequences of infection?  At a challenge of 2 logs or less, the consequences of challenge in vaccinated pigs were similar to non-challenged pigs  At all challenge doses, Ingelvac® PRRS MLV mitigated the consequences of infection as compared to challenge controls using the SDSU 73 wt virus ADWG Viremia Temperature ↑ ↓ ↓
  • 22. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 22 USING THIS MODEL – CAN WE MOVE VACCINE EFFICACY FROM 2 LOGS OF RESISTANCE TO SOMETHING HIGHER ( 3 LOGS!?) Group Treatment #Pigs Vaccination (Inglevac) Challenge* Necropsy 1 PBS Control 36 None Day 56 Day 126 2 Ingelvac PRRS 36 Day 0 Day 56 Day 126 3 Ingelvac PRRS 36 Day 0, 28 Day 56 Day 126 4 Ingelvac PRRS + Immunostimulant 36 Day 0 Day 56 Day 126 • Challenge with 3 logs/dose of PRRS SDSU 73 wt virus (1 ml IN/1ml IM)
  • 23. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 23 PCR ASSESSMENT OF THE POST- VACCINATION EXPOSURE ( CT VALUES REPORTED) 0.00 2.50 5.00 7.50 10.00 12.50 15.00 17.50 20.00 22.50 25.00 27.50 30.00 32.50 35.00 D56 D57 D59 D61 D63 D70 D77 D84 Control PRRS 1ds PRRS 2ds PRRS + Imm
  • 24. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 24 LOW DOSE WT EXPOSURE/VACCINE BLUNTING EFFECT Conclusions: • In contrast to a model focused on clinical disease (6 logs wt chall), the 3 log model (SDSU73) provided consistent result. • Model may benefit from later exposure (day 56) so most animals are PCR Neg at the time of wt exposure (reduced complexity) • In the current test system, neither 2 dose of vaccine nor an immunostimulant changed the post-challenge exposure PCR compared to a single dose of Ingelvac PRRS vaccine. • A single dose of Ingelvac PRRS remains the benchmark for efficacy and provided a significant reduction on post-challenge viremia reduction. • Model can/will be used to evaluate further treatments relative to their ability to increase the “shielding” effect of vaccine when used in regional control programs.
  • 25. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 25 MODEL #2 – BIO FILTER MODEL Background: • Zimmerman/Bio-assay – The real truth lies in the pig! • Mengeling and the PRRS cocktail • There currently is no definitive in vitro tool to define a “protected herd” • Methods and tools have evolved – Bio Portal and NGS
  • 26. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 26 BIO FILTER – THE HYPOTHESIS • Hypothesis – Using the immune pig as the test system, we can expose small groups of animals to a defined pools of PRRS isolates, and then use the pig to biologically filter the isolates most likely to evade the current immune status. • Implications: • Better regional decisions/risk management • Information is relevant to herd and region based on field based pigs and regional PRRS isolates • A tool that could be used by our larger integrated systems for on going herd monitoring • Use of new tools such Next Gen Sequencing • If the tool is predictive of isolates that lead to a break, can we model herd treatments to reduce the impact or stop the break? • Does vaccine selection impact the result of the Bio-filter and PRRS response?
  • 27. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 27 NGS PRRSV MIXED INFECTION STUDY DESIGN • Experimentally mixed PRRSV at approximately equal inputs at varied ratios • NextGen sequencing performed on mixed samples to determine level of sensitivity to detect mixed infection. • Dilutions performed in both media and PRRSV free media to approximate both field and laboratory conditions. • Samples also submitted to diagnostic labs for detection; including a 1:1 mix not analyzed by NextGen
  • 28. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 28 NGS: EXAMPLE OF GRAPHICAL ALIGNMENT OF MIXED INFECTION • Example: 10 to 1 mixture in serum • Snap-shot look at positions 10,132 – 10,181 (ORF1B) with percentages of sequences corresponding to MLV and Field strain by sequence • Across entire genome using data from 789 positions reveal a mixed infection of: • MLV = 78.21% • Field strain = 20.31%
  • 29. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 29 SUMMARY OF RESULTS Conclusions: • Theoretical maximum limit of detection of mixed infection as low as 0.5%. • Estimated level of high confidence detection of recombination as low as 1% • Additional benefits of using NGS include: • Generation of full genome sequence • Detection of both presence and position of recombination • Identical samples submitted to 2 independent diagnostic labs failed to detect mixed infection (all returned as “MLV”) for all dilutions shown above • Submission of 1:1 experimentally mixed sample was returned as “Mixed infection” from both labs Sample Diluent % MLV %Field MLV:Field 10:1 Media 78.69 20.66 MLV:Field 10:1 Serum 78.21 20.31 MLV:Field 100:1 Media 95.45 3.93 MLV:Field 100:1 Serum 95.09 4.41 MLV: Field 1,000:1 Media 99.06 0.86 MLV:Field 1,000:1 Serum 99.18 0.67 MLV:Field 10,000:1 Media 99.09 0.84 MLV:Field 10,000:1 Serum 99.03 0.89 Base line N/A 99.19 0.39
  • 30. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 30 BIO-FILTER – STUDY DESIGN TO TEST THE CONCEPT Testing • Focus is NOT on clinical disease • Focus on relative viral load over time and compare between treatments (PCR) • Next Gen Sequencing to characterize the viral pool in vivo • Are there differences in the viral pool dynamic based on previous immune treatment Results – Stay Tuned…In Progress Group Treatment (Day 0) Challenge ( D=28) End of Study 1 Ingelvac PRRS ATP 3 isolate pool Day 42 2 Ingelvac PRRS 3 isolate pool Day 42 3 Experimental PRRS Vaccine (MLV) 3 isolate pool Day 42 4 Neg Controls (PBS) 3 isolate pool Day 42
  • 31. Presentation title, date, author 31 HOW DOES THIS HELP!?
  • 32. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 32 TAKE HOME MESSAGES Relevance in the field For pigs or populations of pigs at risk of challenge/infection vaccine derived immunity matters! • Direct benefit – Reduced clinical impact in vaccinated pigs following wt exposure • Indirect benefit • Reduced viral load in pig and viral shedding (including aerosol) • “Shielding” of low level exposure to further reduce risk • Focus on reduced viral levels may be important in area control programs • New models may improve risk management and new approach's for incremental gain • in vitro results vs Bio assay • Does knowing the isolate of highest risk allow better decisions? • Can changes in vaccine use/immune status impact the results of a regional PRRS pool exposure?
  • 33. The Evolution of PRRS Control Efforts and New Models of Vaccine Assessment , Mike Roof 33 INGELVAC® PRRS Mitigate Consequences + Generate Uniform Immunity + Reduce Circulating Virus = Improved Health & Performance Thank you!!!! SPECIAL THANKS TO THE FOLLOWING CONTRIBUTORS TO THIS PRESENTATION DALE POLSON • GREG HAIWICK • ABBY PATTERSON • JOE VICTORIA • WES JOHNSON
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