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Pediatric	
  Vasculitis Initiative	
  
March	
  2017
CORD	
  Vancouver
David	
  Cabral,	
  	
  Pediatric	
  Rheumatologist	
  PI
Co-­‐investigators: Susanne	
  Benseler;	
  Dirk	
  Foell;	
  Jinko	
  Graham:
Bob	
  Hancock;	
  Raashid	
  Luqmani;	
  Colin	
  Ross	
  
A	
  CIHR	
  Emerging	
  Team	
  Grant	
  in	
  Rare	
  Disease	
  (2012)
-­‐ a	
  bad	
  
disease!
CHRONIC
Multifactorial	
  /	
  polygenic	
  	
  	
  	
  	
  
Autoimmune	
  /	
  Inflammatory
Several	
  diseases	
  	
  
Severe,	
  treatable,	
  relapsing
Ø Toxic++ treatments
Very	
  rare	
  in	
  childhood
CHRONIC  VASCULITIS
Single organ vasculitis
PACNS
Cutaneous Vascultiis
Multifactorial	
  /	
  polygenic	
  	
  	
  	
  	
  
Autoimmune	
  /	
  Inflammatory
Several	
  diseases	
  	
  
Severe,	
  treatable,	
  relapsing
Ø Toxic++ treatments
Very	
  rare	
  in	
  childhood
CHRONIC  VASCULITIS
AAV:  ANCA associated vasculitis
GPA:  Granulomatosis with polyangitis
MPA:  Microscopic polyangiitis
PACN:  Primary angiitis of the central nervous system
Single organ vasculitis
PACNS
Cutaneous Vascultiis
Is	
  Childhood	
  Vasculitis	
  the	
  same	
  as	
  in	
  Adults?
Ø What	
  is	
  the	
  outcome	
  for	
  kids?
Which	
  type	
  of	
  vasculitis is	
  it?
Ø Does	
  it	
  matter?
Do	
  we	
  always	
  need	
  the	
  most	
  toxic	
  	
  	
  	
  	
  	
  	
  
treatment?
When	
  do	
  we	
  stop	
  /restart	
  medicines?
from	
  Doctors	
  
&	
  families
0
50
100
150
200
250
300
350
400
450
500 Prior	
  to	
  2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
Feb	
  2012:	
  
PedVas	
  Grant	
  
awarded	
  
Feb	
  2013:	
  
First	
  
biosamples
DATA
48 sites,10 countries
Patients
485  systemic  
vasculitis
(263  CNS  vasculitis)  
BIOLOGICAL  
SAMPLES  
`        21 sites,  7 countries
Patients
165  kids
(RNA,  DNA,  serum,  
plasma,  urine)
277  adults  
DNA (17  with  RNA)
PedVas  cumulative  data  &  samples
2006
Archive
Launch
VF
Challenges
Difficulties	
  in	
  cIinical	
  data	
  versus	
  biosamples!
• ethics	
  approval	
  2-­‐12	
  months
- blood	
  collection	
  &	
  cross	
  border	
  shipping
• contract	
  negotiations	
  1-­‐13	
  months
- between	
  universities	
  because	
  of	
  funding	
  provided
• workload	
  (&	
  costs)	
  
- for	
  training,	
  blood	
  versus	
  saliva-­‐sampling	
  &	
  shipping
• Some	
  countries	
  sites	
  prohibit	
  release	
  of	
  biosamples
Average	
  Study	
  start-­‐up	
  taking	
  up	
  to	
  12	
  months per	
  site	
  
(ethics	
  approval,	
  contract	
  negotiation,	
  laboratory	
  set-­‐up,	
  	
  training)
Comparing	
  presenting	
  clinical	
  features	
  of	
  48	
  children	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
with	
  MPA against	
  183	
  having	
  GPA
• Evaluating	
  new	
  adult	
  GPA	
  classification	
  in	
  children
• Gene	
  expression	
  &	
  targeted	
  SNP	
  to	
  distinguish	
  GPA	
  /	
  MPA
Early	
  Outcomes	
  in	
  Children	
  with	
  GPA/MPA	
  
• Predicting	
  early	
  outcome	
  and	
  damage	
  esp.	
  kidney	
  failure
Inflammatory	
  signatures	
  /biomarkers
PROJECTS
…PROJECTS
Clinician	
  Needs	
  Assessment	
  Survey:	
  Towards	
  developing	
  
consensus	
  treatment	
  plans	
  for	
  GPA/MPA	
  
• Developing	
  web-­‐based	
  online	
  teaching	
  modules	
  for	
  physicians
• Establishing	
  consensus	
  treatments	
  for	
  GPA/MPA	
  
• Comparing	
  old	
  and	
  new	
  treatments	
  within	
  our	
  registry
COLLABORATIONS
CARRA
CANCVASC
DCAVAS
Supports	
  existing	
  vasculitis registries	
  to	
  collect	
  &	
  	
  
analyse clinical	
  data,	
  biological	
  samples	
  &	
  KT.
• Initial	
  focus	
  GPA, MPA,	
  &	
  PACNS	
  
PedVas
Inflammatory	
  signatures	
  /biomarkers
Nonprogressive,
Angiography-­‐positive	
  
CNS	
  vasculitis
N=180
Progressive,
Angiography-­positive  
CNS  vasculitis  
N=37
Small  vessel  
Angiography-­negative    
CNS  vasculitis  
N=94
Secondary  
CNS  vasculitis
N=59
AB  mediated  
IBrainD
N=69
• Clinical  
phenotypes  
• Treatment
• Outcome  
in  397  children  
with  CNS  
vasculitis
Search	
  for	
  CNS	
  vasculitis biomarkers
Von  Willebrand  Factor  Antigen
Gene  expression  profiles  in  brain  tissue
BrainWorks website
Information  sharing  -­ Knowledge  translation
http://www.sickkids.ca/Research/Brainworks/Welcome/Welcome.html
…or  google  childhood  CNS  vasculitis  
BrainWor
ks
0
50
100
150
200
250
300
350
400
450
500 Prior	
  to	
  2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
Feb	
  2012:	
  
PedVas	
  Grant	
  
awarded	
  
Feb	
  2013:	
  
First	
  
biosamples
PedVas  cumulative  data  &  samples
2006
Archive
launch
Challenges	
  
Clinical	
  vs clinical	
  data	
  collection
National	
  policies	
  prohibitive
workload	
  (&	
  costs)	
  
• Training	
  bio-­‐sampling,	
  shipping
ethics	
  approval	
  
• biosamples,	
  cross	
  border	
  
shipping
• 2-­‐12months
contract	
  negotiations	
  
• Because	
  of	
  funding	
  
• 1-­‐13	
  months
Av	
  startup	
  12	
  months
Current	
  Status
Site	
  recruitment	
  
– 48	
  sites	
  from	
  10	
  countries	
  contributing	
  clinical	
  data
– 21	
  sites	
  from	
  7	
  countries	
  with	
  ethics	
  for	
  biosampling
Clinical	
  data	
  
– 485	
  systemic	
  vasculitis	
  patients
– 263	
  primary	
  CNS	
  vasculitis	
  patients
Biological	
  samples	
  
– 165 pediatric	
  patients	
  contributed	
  (RNA,	
  DNA,	
  serum,	
  
plasma,	
  urine)
– 277	
  adults	
  with	
  vasculitis	
  contributed	
  DNA samples	
  (17	
  
with	
  RNA)
Comparing	
  presenting	
  clinical	
  features	
  of	
  48	
  children	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
with	
  MPA against	
  183	
  having	
  GPA
• Evaluating	
  new	
  adult	
  GPA	
  classification	
  in	
  children
• Gene	
  expression	
  &	
  targeted	
  SNP	
  to	
  distinguish	
  GPA	
  /	
  MPA
Early	
  Outcomes	
  in	
  Children	
  with	
  GPA/MPA	
  
• Predicting	
  early	
  outcome	
  and	
  damage	
  
• Renal	
  Trajectories	
  and	
  Outcomes
• Evaluating	
  disease	
  activity	
  biomarkers	
  (CRP,	
  
platelets,S100A12,	
  Anti-­‐LAMP2	
  antibodies)	
  
• Gene	
  expression	
  identifying	
  persisting	
  inflammatory	
  
signatures	
  in	
  patients	
  in	
  clinical	
  remission
Preliminary Data: Biological
Measures of Disease Activity
S100A12    measured  healthy  people  and  
children  with  vasculitis
Serum  S100A12  levels  are  highest  at  the  
time  of  diagnosis  when  vasculitis  is  most  
active.  (More  sensitive  than  ESR  &  CRP)
Levels  decline  after  treatment,  but  rarely  
reaches  levels  measured  in  serum  from  
healthy  individuals
Preliminary  data  suggest  that  vasculitis  remains  active  after  
treatment  and  when  clinical  measures  might  suggest  otherwise.  
Preliminary Data: Biological
Measures of Disease Activity
Blood  cells  from  healthy  people  and  
children  with  vasculitis  are  analyzed  
for  similar  patterns  of  gene  expression;;  
samples  that  are  most  similar  are  
closest  together  on  the  plot
Preliminary  data  reveals  abundance  of  
active  inflammatory  genes  in  blood  
cells  from  children  with  vasculitis.
Many  of  these  genes  remain  
expressed  12  months  post  diagnosis  
when  there  are  few  overt  symptoms  of  
disease.
PROJECTS
Clinical
• Comparing	
  presenting	
  clinical	
  features	
  of	
  48	
  children	
  with	
  
MPA	
  against	
  183	
  having	
  GPA
• Early	
  Outcomes	
  in	
  Children	
  with	
  MPA/GPA	
  
• Clinician	
  Needs	
  Assessment	
  Survey:	
  Towards	
  developing	
  
consensus	
  treatment	
  plans	
  for	
  MPA/GPA
• Incorporation	
  of	
  established	
  treatment	
  protocols	
  to	
  
Brainworks CNS	
  vasculitis website
• Distinct	
  Phenotype	
  Clusters	
  in	
  Childhood	
  Inflammatory	
  Brain	
  
Diseases:	
  Implications	
  for	
  Diagnostic	
  Evaluation
In	
  Progress
Clinical
• Evaluating	
  new	
  adult	
  GPA	
  classification	
  in	
  pediatric cohort
• Predicting	
  early	
  outcome	
  and	
  damage	
  for	
  ANCA	
  Vasculitis
• Renal	
  Trajectories	
  and	
  Outcomes	
  in	
  Pediatric ANCA	
  Vasculitis
• Developing	
  web-­‐based	
  online	
  teaching	
  modules	
  for	
  physicians
• Health-­‐related	
  quality	
  of	
  life	
  in	
  children	
  with	
  primary	
  CNS	
  vasculitis
Biological
• Gene	
  expression	
  & targeted	
  SNP	
  to	
  distinguish	
  GPA /	
  MPA
• Assessing	
  S100A12	
  with	
  other	
  routine	
  inflammatory	
  biomarkers	
  to	
  
improve	
  disease	
  activity	
  assessment
• Anti-­‐LAMP2	
  antibody	
  -­‐associated	
  disease	
  activity	
  in	
  pediatric vasculitis
• Gene	
  expression	
  identifying	
  persisting	
  inflammatory	
  signatures	
  in	
  
patients	
  in	
  clinical	
  remission
• Genotype-­‐phenotype	
  relationship	
  in	
  PAN	
  patients	
  with	
  ADA2	
  deficiency
• In	
  vitro	
  modeling	
  of	
  vascular	
  endothelial	
  homeostasis	
  and	
  activation

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RDD Conf Day 2: Pediatric Vasculitis Initiative, David Cabral, British Columbia Children’s Hospital

  • 1. Pediatric  Vasculitis Initiative   March  2017 CORD  Vancouver David  Cabral,    Pediatric  Rheumatologist  PI Co-­‐investigators: Susanne  Benseler;  Dirk  Foell;  Jinko  Graham: Bob  Hancock;  Raashid  Luqmani;  Colin  Ross   A  CIHR  Emerging  Team  Grant  in  Rare  Disease  (2012)
  • 2. -­‐ a  bad   disease! CHRONIC
  • 3. Multifactorial  /  polygenic           Autoimmune  /  Inflammatory Several  diseases     Severe,  treatable,  relapsing Ø Toxic++ treatments Very  rare  in  childhood CHRONIC  VASCULITIS Single organ vasculitis PACNS Cutaneous Vascultiis
  • 4. Multifactorial  /  polygenic           Autoimmune  /  Inflammatory Several  diseases     Severe,  treatable,  relapsing Ø Toxic++ treatments Very  rare  in  childhood CHRONIC  VASCULITIS AAV:  ANCA associated vasculitis GPA:  Granulomatosis with polyangitis MPA:  Microscopic polyangiitis PACN:  Primary angiitis of the central nervous system Single organ vasculitis PACNS Cutaneous Vascultiis
  • 5. Is  Childhood  Vasculitis  the  same  as  in  Adults? Ø What  is  the  outcome  for  kids? Which  type  of  vasculitis is  it? Ø Does  it  matter? Do  we  always  need  the  most  toxic               treatment? When  do  we  stop  /restart  medicines? from  Doctors   &  families
  • 6. 0 50 100 150 200 250 300 350 400 450 500 Prior  to  2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Feb  2012:   PedVas  Grant   awarded   Feb  2013:   First   biosamples DATA 48 sites,10 countries Patients 485  systemic   vasculitis (263  CNS  vasculitis)   BIOLOGICAL   SAMPLES   `        21 sites,  7 countries Patients 165  kids (RNA,  DNA,  serum,   plasma,  urine) 277  adults   DNA (17  with  RNA) PedVas  cumulative  data  &  samples 2006 Archive Launch VF
  • 7. Challenges Difficulties  in  cIinical  data  versus  biosamples! • ethics  approval  2-­‐12  months - blood  collection  &  cross  border  shipping • contract  negotiations  1-­‐13  months - between  universities  because  of  funding  provided • workload  (&  costs)   - for  training,  blood  versus  saliva-­‐sampling  &  shipping • Some  countries  sites  prohibit  release  of  biosamples Average  Study  start-­‐up  taking  up  to  12  months per  site   (ethics  approval,  contract  negotiation,  laboratory  set-­‐up,    training)
  • 8. Comparing  presenting  clinical  features  of  48  children                       with  MPA against  183  having  GPA • Evaluating  new  adult  GPA  classification  in  children • Gene  expression  &  targeted  SNP  to  distinguish  GPA  /  MPA Early  Outcomes  in  Children  with  GPA/MPA   • Predicting  early  outcome  and  damage  esp.  kidney  failure Inflammatory  signatures  /biomarkers PROJECTS
  • 9. …PROJECTS Clinician  Needs  Assessment  Survey:  Towards  developing   consensus  treatment  plans  for  GPA/MPA   • Developing  web-­‐based  online  teaching  modules  for  physicians • Establishing  consensus  treatments  for  GPA/MPA   • Comparing  old  and  new  treatments  within  our  registry COLLABORATIONS CARRA CANCVASC DCAVAS
  • 10. Supports  existing  vasculitis registries  to  collect  &     analyse clinical  data,  biological  samples  &  KT. • Initial  focus  GPA, MPA,  &  PACNS   PedVas
  • 11.
  • 12.
  • 14. Nonprogressive, Angiography-­‐positive   CNS  vasculitis N=180 Progressive, Angiography-­positive   CNS  vasculitis   N=37 Small  vessel   Angiography-­negative     CNS  vasculitis   N=94 Secondary   CNS  vasculitis N=59 AB  mediated   IBrainD N=69 • Clinical   phenotypes   • Treatment • Outcome   in  397  children   with  CNS   vasculitis
  • 15. Search  for  CNS  vasculitis biomarkers Von  Willebrand  Factor  Antigen Gene  expression  profiles  in  brain  tissue
  • 16. BrainWorks website Information  sharing  -­ Knowledge  translation
  • 17.
  • 19.
  • 20. 0 50 100 150 200 250 300 350 400 450 500 Prior  to  2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Feb  2012:   PedVas  Grant   awarded   Feb  2013:   First   biosamples PedVas  cumulative  data  &  samples 2006 Archive launch Challenges   Clinical  vs clinical  data  collection National  policies  prohibitive workload  (&  costs)   • Training  bio-­‐sampling,  shipping ethics  approval   • biosamples,  cross  border   shipping • 2-­‐12months contract  negotiations   • Because  of  funding   • 1-­‐13  months Av  startup  12  months
  • 21. Current  Status Site  recruitment   – 48  sites  from  10  countries  contributing  clinical  data – 21  sites  from  7  countries  with  ethics  for  biosampling Clinical  data   – 485  systemic  vasculitis  patients – 263  primary  CNS  vasculitis  patients Biological  samples   – 165 pediatric  patients  contributed  (RNA,  DNA,  serum,   plasma,  urine) – 277  adults  with  vasculitis  contributed  DNA samples  (17   with  RNA)
  • 22. Comparing  presenting  clinical  features  of  48  children                       with  MPA against  183  having  GPA • Evaluating  new  adult  GPA  classification  in  children • Gene  expression  &  targeted  SNP  to  distinguish  GPA  /  MPA Early  Outcomes  in  Children  with  GPA/MPA   • Predicting  early  outcome  and  damage   • Renal  Trajectories  and  Outcomes • Evaluating  disease  activity  biomarkers  (CRP,   platelets,S100A12,  Anti-­‐LAMP2  antibodies)   • Gene  expression  identifying  persisting  inflammatory   signatures  in  patients  in  clinical  remission
  • 23. Preliminary Data: Biological Measures of Disease Activity S100A12    measured  healthy  people  and   children  with  vasculitis Serum  S100A12  levels  are  highest  at  the   time  of  diagnosis  when  vasculitis  is  most   active.  (More  sensitive  than  ESR  &  CRP) Levels  decline  after  treatment,  but  rarely   reaches  levels  measured  in  serum  from   healthy  individuals Preliminary  data  suggest  that  vasculitis  remains  active  after   treatment  and  when  clinical  measures  might  suggest  otherwise.  
  • 24. Preliminary Data: Biological Measures of Disease Activity Blood  cells  from  healthy  people  and   children  with  vasculitis  are  analyzed   for  similar  patterns  of  gene  expression;;   samples  that  are  most  similar  are   closest  together  on  the  plot Preliminary  data  reveals  abundance  of   active  inflammatory  genes  in  blood   cells  from  children  with  vasculitis. Many  of  these  genes  remain   expressed  12  months  post  diagnosis   when  there  are  few  overt  symptoms  of   disease.
  • 25. PROJECTS Clinical • Comparing  presenting  clinical  features  of  48  children  with   MPA  against  183  having  GPA • Early  Outcomes  in  Children  with  MPA/GPA   • Clinician  Needs  Assessment  Survey:  Towards  developing   consensus  treatment  plans  for  MPA/GPA • Incorporation  of  established  treatment  protocols  to   Brainworks CNS  vasculitis website • Distinct  Phenotype  Clusters  in  Childhood  Inflammatory  Brain   Diseases:  Implications  for  Diagnostic  Evaluation
  • 26. In  Progress Clinical • Evaluating  new  adult  GPA  classification  in  pediatric cohort • Predicting  early  outcome  and  damage  for  ANCA  Vasculitis • Renal  Trajectories  and  Outcomes  in  Pediatric ANCA  Vasculitis • Developing  web-­‐based  online  teaching  modules  for  physicians • Health-­‐related  quality  of  life  in  children  with  primary  CNS  vasculitis Biological • Gene  expression  & targeted  SNP  to  distinguish  GPA /  MPA • Assessing  S100A12  with  other  routine  inflammatory  biomarkers  to   improve  disease  activity  assessment • Anti-­‐LAMP2  antibody  -­‐associated  disease  activity  in  pediatric vasculitis • Gene  expression  identifying  persisting  inflammatory  signatures  in   patients  in  clinical  remission • Genotype-­‐phenotype  relationship  in  PAN  patients  with  ADA2  deficiency • In  vitro  modeling  of  vascular  endothelial  homeostasis  and  activation