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De novo DSA and ABMR: Prevalence, Risk Factors and Natural Course FDA Workshop, Session 1 28 September 2015 Peter Nickerson, MD, FRCPC, FCAHS Flynn Family Chair in Renal Transplantation Professor of Internal Medicine and Immunology

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  • De novo DSA and ABMR: Prevalence, Risk Factors and Natural Course FDA Workshop, Session 1 28 September 2015 Peter Nickerson, MD, FRCPC, FCAHS Flynn Family Chair in Renal Transplantation Professor of Internal Medicine and Immunology

  • Astellas consultant and core investigator providing central laboratory support for the FKC-014 Canadian clinical trial

    AND

    My presentation does not include discussion of off-label

    or investigational use of drugs

    Peter Nickerson, University of Manitoba, Winnipeg, Canada

    Relevant Financial Relationship Disclosure Statement

  • De novo DSA Kidney Allograft Survival Consecutive Adult and Pediatric Kidney Transplants (n=508, 1999 to 2012)

    11% Other GN+IFTA (n=20) 4% TCMR+IFTA (n=10) 2% IFTA (n= 8) 1.6% BK Nephro (n= 2) Other (n= 6) Not Bx (n=10)

    76% Stable

    9% Subclinical DSA

    4% Clinical DSA

    Years Post-Transplant Wiebe et al., AJT (2015) ePub

    Death with Function 9% (n=46)

    1% (n= 5)

  • Ref. 1st Tx

    Defn to Rule out Pre-Tx DSA

    de novo DSA Induction (Depletional) Race

    1st Mo 1st Yr >1st Yr Thymo Campath Cauc AA Hisp Asian

    Cooper n.a. FCXM 15.6% 27.0% 0% yr 2 66% 0% 69% 7% 17% n.a.

    DeVos 93% >2000 MFI 8.0% 20.0% 5.0%/yr 61% 0% 42% 27% 24% n.a.

    Heilman 91% >1000 MFI 8.2% 17.6% n.a. 26% 61% n.a. 5% n.a. n.a.

    Everly 100% >1000 MFI 3.0% 11.0% 2.3%/yr 13% 0% n.a. 64% n.a. n.a.

    Wiebe 95% >300 MFI 0.0% 2.0% 2.0%/yr 9% 0% 69% 2% 0% 11%

    Evolution of de novo DSA Wiebe et al., AJT (2015) ePub DeVos et al., Transplantation (2014) 97:534

    Years post-transplant

    de novo DSA 2% per year

    de novo DSA 5% per year(1-4)

    de novo DSA 20% 1st year

  • STUDY Dominant

    de novo DSA HLA

    Mismatch Race Young Age of Recip

    Donor Type

    Imuran vs. MMF

    CsA vs. Tac TCMR

    I II I+II DR MM DQ MM Worthington et al. X

    Hourmant et al. X X X X X

    Piazza et al. X X

    Lachmann et al. X X

    Scornik et al. X

    Lachmann et al. X

    Hidalgo et al. X

    Yabu et al. X

    Fotheringham et al. X

    Cooper et al. X HLA Mismatch X

    Liefeldt et al. X HLA Mismatch X

    Willicombe et al. X X X

    Ginevri et al. X X

    De Kort et al. X

    Everly et al. X X none X DD

    Wiebe et al. X X X X X

    De Vos et al. X HLA Mismatch AA DD

    Correlates of de novo DSA

    Wiebe et al., Current Opinion Organ Transplant (2013) 18:470

  • Polymorphic amino acid

    Tissue Antigens (2011) 77:525

    Functional Epitope (3 radius Eplet)

    Structural Epitope (15 radius Epitope)

  • 1 DR MM

    1 DQ MM

    # of Epitope MM

    CONTEXT ( Donor Recipient combination) Single HLA Antigen MM Range of Epitope MM

    Wiebe et al., AJT (2013) 13:3114-3122

  • p

  • Early clinical TCMR (

  • Gibson et al., AJT (2008) 8:819

    PTC 2

    Patients with de novo DSA have early (0-6 month) TCMR with more intense PTC inflammation

    TCMR PTC score

    de novo DSA

    No DSA

    2.0

    1.0 p

  • Non-Adherence is a major risk factor for de novo DSA

    Adherent

    19% at 12 years

    Non-Adherent

    72% at 12 years

    p

  • Multivariate Model of de novo DSA Risk Factors

    Wiebe et al., AJT (2013) 13:3114-3122

  • At onset of de novo DSA 76% have ABMR(Banff 2013)

    Wiebe et al., AJT (2015) ePub

    Banff Grade 0 1 2 3

    TCMR(Banff 2007) common (91% with ABMR) 32% Borderline 29% Grade 1

    Transplant glomerulopathy uncommon

    IFTA common

    At DSA onset 18% have no TCMR or ABMR

  • Time to Graft Loss from de novo DSA Onset Consecutive Adult and Pediatric Kidney Transplants (n=508, 1999 to 2012)

    Mean time to graft failure from 1st detection of de novo DSA

    ~ 3.3 to 8.3 years

    Wiebe et al., AJT (2015) ePub

  • De Novo DSA and Graft Dysfunction Estimated eGFR Rate of Decline (ml/min/1.73m2/year)

    Pre dnDSA Post dnDSA

    Rowe et al. J. Genontology (1976)

    Healthy Men (n=293)

    Age eGFR decline (Years) (ml/min/1.73m2/year) 17-84 -0.90 3.08 ________________________________________________________________

    25-34 -1.09 3.13 35-44 -0.11 2.88 45-54 -0.73 2.92

    Stable

    Wiebe et al., AJT (2015) ePub

    For each 1.0 ml/min/1.73m2 decrease in eGFR at 3 years post-subclinical dnDSA onset, the risk of graft loss increased (HR 1.06 [1.03-1.09], p

  • Clinical Predictors for Graft Loss at DSA onset Consecutive Adult and Pediatric Kidney Transplants (n=508, 1999 to 2012)

    DGF

    MNA

    DSA Titer

    Wiebe et al., AJT (2015) ePub

  • Univariate Multivariate

    76% ABMR(Banff 2013) at biopsy for de novo DSA

    Biopsy Predictors for Graft Loss at DSA onset Consecutive Adult and Pediatric Kidney Transplants (n=508, 1999 to 2012)

    Tubulitis

    CG

    Wiebe et al., AJT (2015) ePub

  • Independent Predictors of Banff Chronic Scores

    Banff cg score increases 1 grade per 3 years of post de novo DSA follow-up (R2 = 0.36, p=0.0018)

    Wiebe et al., AJT (2015) ePub

  • Working Model of Kidney Allograft Loss

    Under Immunosupression Non-adherence Physician guided

    HLA MM

    DGF

    TCMR Clinical Subclinical

    ABMR Clinical Subclinical

    dnDSA CG

    IFTA

    Graft Loss

    Class II Epitope MM

    (Immunodominant)

    IRI

    CNI Toxicity Brain Death

    eGFR

    Stable Graft

    Subclinical DSA (mixed rejection)

    Clinical DSA (mixed rejection)

    Time Post-Transplant

    Proteinuria: Rate of 0.004 0.09 0.21 0.48 (p=0.003) (g/day/year)

    Wiebe et al., AJT (2015) ePub

  • Acknowledgements

    Transplant Manitoba Adult & Pediatric Kidney Programs

    David Rush Chris Wiebe

    Julie Ho Martin Karpinski

    Leroy Storsley Patricia Birk

    Aviva Goldberg

    Transplant Immunology Laboratory (DSM)

    Denise Pochinco

    Manitoba Centre for Proteomics & Systems Biology

    John Wilkins

    Department of Pathology Ian Gibson

    Department of Immunology Kent HayGlass

    Universitt Basel Stefan Schaub

    Patricia Hirt-Minkowski Gideon Hnger

    CTOT Consortia Peter Heeger

    Don Hricik Robert Fairchild Richard Formica Emilio Poggio Nancy Bridges

    David Ilke

    DeKAF Consortia Arthur Matas Robert Gaston

    Sita Gourishankar Joseph Grande

    Lawrence Hunsicker Bert Kasiske

    Michael Cecka Roslyn Mannon Fernando Cosio

    Slide Number 1Slide Number 2Slide Number 3Evolution of de novo DSA Correlates of de novo DSASlide Number 6Slide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Working Model of Kidney Allograft LossSlide Number 20