HLA /GpGYGMGxG G>...P=0.4011 P=0.1554 0 5000 10000 15000 20000 25000 Sum of DSA MFI levels in...
Transcript of HLA /GpGYGMGxG G>...P=0.4011 P=0.1554 0 5000 10000 15000 20000 25000 Sum of DSA MFI levels in...
![Page 1: HLA /GpGYGMGxG G>...P=0.4011 P=0.1554 0 5000 10000 15000 20000 25000 Sum of DSA MFI levels in Bx-proven ABMR and non-ABMR (n=47) Bx–proven ABMR(-) Bx–proven ABMR(+) MFI 4087 (median)](https://reader036.fdocuments.net/reader036/viewer/2022081622/613c17f04c23507cb6352953/html5/thumbnails/1.jpg)
HLA
18 1 2020/2/21
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30
HLA
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(LUMINEX HOME PAGE)
Micro beads
1
Micro beads
2
Micro beads
100
Micro beads
3
Recombinant HLA molecule (Single antigen beads)
Serum (HLA Ab)
PE-labeled anti-human IgG Ab IF-beads (Luminex)
(AFFYMETRIX HOME PAGE)
HLA
ABMR
Minimization !
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Acute ABMR
HLA DSA-negative ABMR Reversible
Chronic ABMR
Irreversible
Tx
HLA Ab Production
No production Recipient Graft
Chronic Active ABMR
Therapeutic Intervention
Graft Loss
Stable Function
DSA (-)
dysfunction
Strategy to control DSA-induced (chronic) ABMR
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Transplantation 2018, 102: 557-568.
Plasmapheresis
IVIG
Rituximab
Bortezomib Complement Inhibitor
Standard-of-care for acute ABMR
Transpl Int 2019, 32: 775-788.
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Transpl Int 2019, 32: 775-788.
Tx
HLA Ab Production
No production Recipient Graft
Chronic Active ABMR
Therapeutic Intervention
Graft Loss
Stable Function
DSA (-)
dysfunction
Too late after graft dysfunction
Strategy to control DSA-induced (chronic) ABMR
Preemptive Medicine
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Months after graft biopsy
Chronic ABMR (-) N=25
Chronic ABMR (+) N=18
Treatment (Steroid pulse, DFPP, Rituximab)
Yamamoto T, et al. Transplantation 2016; 100: 2194-202, 4-year follow-up
Graft survival in patients with de novo DSA Biopsy
Tx
HLA Ab Production
No production Recipient Graft
Chronic Active ABMR
Preemptive Medicine
Therapeutic Intervention
Graft Loss
Stable Function
DSA (-)
dysfunction
Prophylactic Medicine
No injury
Accommodation
Stable
Strategy to control DSA-induced (chronic) ABMR
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Subclinical chronic ABMRCr
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(High volume center)
HLA-DNA (A, B, DRB1)
(DRB3,4,5) (+ DQB1) (+ DQA1, C, DPB1, DPA1)
NGS
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FCXM, ICFA, FlowPRA, LABScreen SAB
FCXM, FlowPRA
Neg --- > HLA typing (NGS) Pos --- > HLA typing (NGS)
+ LABScreenSAB
(2016-2017) FlowPRA --- > LABScreen SAB (2018-) LABScreen PRA --- > LABScreen SAB
(LABScreen PRA) --- 10,000
(LABScreen SAB) --- 50,000
HLA (Excel)
e-mail DISCUSSION
(PDF: , e-mail (Excel: )
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vs
1 ---
--- ---
HLA --- ---
---
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--- double check Technical issue
--- discussion
--- >
--- >
30 33330000
ID
HLA R/D)
MFI
SAB
HLA (4 (100 + supplement)
DR DQ
DSA
Y 2Y 3Y Y 2Y 3Y
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0
1000
2000
3000
4000
5000
6000
7000
8000
DRB1
*01:
01
DRB1
*01:
03
DRB1
*03:
02
DRB1
*04:
02
DRB1
*04:
05
DRB1
*04:
03
DRB1
*09:
01
DRB1
*10:
01
DRB1
*11:
04
DRB1
*12:
02
DRB1
*13:
03
DRB1
*14:
02
DRB1
*15:
01
DRB1
*15:
03
DRB1
*16:
02
DRB3
*02:
02
DRB4
*01:
01
DRB5
*01:
01
DQB1
*02:
01DQ
A1*0
2:01
DQB1
*02:
01DQ
A1*0
4:01
DQB1
*02:
02DQ
A1*0
2:01
DQB1
*04:
01DQ
A1*0
3:03
DQB1
*04:
02DQ
A1*0
4:01
DQB1
*05:
02DQ
A1*0
1:02
DQB1
*06:
02DQ
A1*0
1:02
DQB1
*06:
03DQ
A1*0
1:03
DQB1
*06:
09DQ
A1*0
1:02
DQB1
*03:
01DQ
A1*0
2:01
DQB1
*03:
01DQ
A1*0
5:05
DQB1
*03:
02DQ
A1*0
2:01
DQB1
*03:
02DQ
A1*0
3:02
DQB1
*03:
03DQ
A1*0
3:01
DPB1
*01:
01DP
A1*0
1:03
DPB1
*02:
01DP
A1*0
1:03
DPB1
*03:
01DP
A1*0
1:03
DPB1
*03:
01DP
A1*0
2:01
DPB1
*04:
02DP
A1*0
1:03
DPB1
*06:
01DP
A1*0
2:01
DPB1
*09:
01DP
A1*0
2:01
DPB1
*11:
01DP
A1*0
2:02
DPB1
*28:
01DP
A1*0
1:03
DPB1
*13:
01DP
A1*0
2:02
DPB1
*14:
01DP
A1*0
2:01
DPB1
*17:
01DP
A1*0
2:01
DPB1
*18:
01DP
A1*0
1:05
DPB1
*19:
01DP
A1*0
1:03
DPB1
*23:
01DP
A1*0
1:03
DPB1
*28:
01DP
A1*0
4:01
2016/1/29
2016/10/12
2017/4/12
HLA (LABScreen SAB)
(LD-101, 2016/4/12
NDSA
De novo DSA
Y
2Y
DSA DQB1*03:01 MFI (24209) 2018 8 MFI (1801)
2019
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DSA DQB1*03:03 MFI (2331) 2018 MFI (10055)
2019
34 34
DSA DQB1*01:01 MFI (1927) 2018 8 MFI (149)
2019
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35 33333333355555
DSA DQB1*01:01 MFI (1927)
AUTO MFI (2463)
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DSA ABMR
40
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Biopsy has been conducted in patients with Class I, DR or DQ DSA (n=47)
MFI levels of DSA
Bx proven ABMR (n=18) Bx proven non ABMR (n=29)
DSA MFI levels in Bx-proven ABMR and non-ABMR (n=47)
Class I DSA ABMR(-) (+) ABMR(-) (+)
ABMR(-) (+) DQ DSA DR DSA
0
MFI
5000
10000
15000
20000
25000
1378 (median)
(n=5)
1849 (median)
(n=9)
7153 (median)
(n=17)
1820 (median)
(n=3)
3640 (median)
(n=5)
15599 (median)
(n=14)
Class I ------------ 6 Class I + DR ----- 1 Class I + DQ ----- 1 DR ----------------- 9 DQ ---------------- 26 DR + DQ --------- 4
(at the time of biopsy)
P=0.4689 P=0.4011
P=0.1554
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0
5000
10000
15000
20000
25000
Sum of DSA MFI levels in Bx-proven ABMR and non-ABMR (n=47)
Bx–proven ABMR(-) Bx–proven ABMR(+)
MFI 4087
(median) (n=29)
12169 (median)
(n=18)
Class I ------------ 6 Class I + DR ----- 1 Class I + DQ ----- 1 DR ----------------- 9 DQ ---------------- 26 DR + DQ --------- 4
(at the time of biopsy) P=0.0185
Biopsy proven ABMR and de novo DSA (sum of MFI levels)
P=0.008925
(n=47)
(Sum of DSA MFI levels at the time
of biopsy) (15.8%)
(53.6%)
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HLA De novo DSA
Sum of MFI < 5000
-- > Graft Biopsy
Renal dysfunction (-)
-- > 3-6
ABMR (+) -- > Treatment ABMR (-) -- > F/U
Blood concentration Non-adherence check
vs
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HLA DQA1 ? C, DPB1/DPA1 ?
Complement, IgG subclass
Non HLA Ab
Pathogenicity of DSA ABMR
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Wehmeier C, et al. Transpl Int
Solid phase assays
Virtual crossmatching, Calculated PRA (cPRA)
Organ allocation system
Kidney –paired donation
Center-specific immunological risk stratification
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Limitations
Quantification
Interference of serum components
MFI DSA (public epitopes, IgM, IgA)
--- > HLA negative control
--- > HLA Interference of medicinal drugs (HLA IVIG
Denatured HLA molecules Problematic beads
Wehmeier C, et al. Transpl Int
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Critical issues for data interpretation
R/D HLA typing
Public epitope, private epitope Current SAB panels cover 98.5% of eplets
Sensitization history
CREG (cross reactive groups) --- > EPITOPE (HLA Matchmaker)
Ethnicity-adapted SAB panels
Pathogenicity factors epitope specificity of DSA, magnitude and durability of memory response, density of antigen expression in graft, regulation of effector functions ---
Wehmeier C, et al. Transpl Int
Complement binding, IgG subclass
C1q, C3d --- > pros and cons IgG1, IgG3 vs IgG2, IgG4 --- > pros and cons
Wehmeier C, et al. Transpl Int
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Screening for HLA antibodies
Pre-Tx waiting list
Post-Tx
--- Immunological risk
Controversy CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooonnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnntrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrroooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooovvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvveeeeeeeeeeeerrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrsssssssssssssssssssssssssssssssssssssssssssssssssyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy
Memory immune response (preformed DSA)
Primary immune response (de novo DSA)
Wehmeier C, et al. Transpl Int
Wehmeier C, et al. Transpl Int
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EPITOPE (B cell, T cell) DSA risk stratification --- > (individualized IS)
Graft Accommodation
Non HLA antibody
Early diagnosis DSA Tfh, Bmem, High Throughput Sequence
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B cell epitope --- BCR (HLA antibody)
EPITOPE
Eplet mismatch number
determined by HLA matchmaker (website)
Difference between donor and recipient HLA
Tambur AR, Claas FHJ. AJT 2015, 15: 1148-54.
TRIPLET: 3 linearly consecutive amino acid residues
EPLET: Linearly discontinuous spatially close amino acid residues
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61
1. Antigen has many potentially immunogenic epitopes (triplets/eplets) but some of these are shared with the patients own HLA molecules
HLAMatchmaker algorithm predicts the immunogenicity of an HLA alloantigen.
2. Patient will not make antibodies to epitopes present on the own HLA antigens and therefore:
3. Polymorphism of an HLA mismatch should be considered in the context of the HLA type of the potential antibody producer.
Principles of HLAMatchmaker:
Duquesnoy, Human Immunol. 2002
Dr Frans Claas
http://www.epitopes.net/downloads.html
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Wiebe C, et al. J Am Soc Nephrol. 2017; 28: 3353-3362
Wiebe C, et al. J Am Soc Nephrol. 2017; 28: 3353-3362
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B cell epitope --- BCR (HLA antibody)
T cell epitope --- TCR
EPITOPE
Eplet mismatch Number
determined by HLA matchmaker (website)
Difference between donor and recipient HLA
Donor
CD8 T CD4 T
Class II
TCR*
B
Tc
Donor Class I
BCR
Graft (Donor)
Dendritic Cell
Donor HLA Class I or II
z
Donor Dendritic Cell
Graft (Donor)
Indirect Recognition
Pathway
Donor Class I
TCR** TCR*
Direct Recognition Pathway
TCR**
TCR***
Class II
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https://www.pirche.com/pirche/#/
Predicted indirectly recognizable HLA epitopes (PIRCHE)
Predicted indirectly recognizable HLA epitopes (PIRCHE)
Lachmann N, et al. AJT 2017; 17: 3076-3086
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Lachmann N, et al. AJT 2017; 17: 3076-3086
114/691 (16.5%) Class I ------------14 Class I + DR ----- 1 Class I + DQ ----- 2 DR -----------------19 DQ ---------------- 69 DR + DQ --------- 9
Class I-associated -----17 DR-associated----------29 DQ-associated ---------80
de novo DSA
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De novo DSA (DR, DQ) and Eplet MM
P<0.0001
(n=691)
(3.4%)
(20.2%)
De novo DSA (DR, DQ) and PIRCHE score
P<0.0001
(n=691)
(8.2%)
(19.8%)
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Non HLA
Transpl Int 2020, 33: 5-17.
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Tfh
Early Diagnosis
La Muraglia GM II, et al. Am J Transplant 2020; 20: 75-87
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Macedo C, et al. Kidney Int Rep 2019; 4: 455-469
van Besouw NM, et al. HLA 2019; 94: 407-414.
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Bmem
Transpl Int 2020, 33: 30-40
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Am J Transplant 2019; 19: 368-380.
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Liquid biopsy ----
Biomarker for ABMR (2018-2019)
mRNA, miRNA (PBMC, plasma) Development and validation of a peripheral blood mRNA assay for the assessment of antibody-mediated kidney allograft rejection: A multicentre, prospective study. Van Loon E, Gazut S, Yazdani S, et al. EBioMedicine. 2019 Aug;46:463-472.
(BIOMARGIN) study (www.biomargin.eu) 8-gene assay (CXCL10, FCGR1A, FCGR1B, GBP1, GBP4, IL15, KLRC1, TIMP1) in blood samples (PBMC mRNA)
Development of a multivariable gene-expression signature targeting T-cell-mediated rejection in peripheral blood of kidney transplant recipients validated in cross-sectional and longitudinal samples. Christakoudi S, Runglall M, Mobillo P, et al. EBioMedicine. 2019 Mar;41:571-583
(KALIBRE) study 22-genes in PBMC mRNA for TCMR (IFNG, IP-10, ITGA4, MARCH8, RORc, SEMA7A, WDR40A) Peripheral blood transcriptome analysis and development of classification model for diagnosing antibody-mediated rejection vs accommodation in ABO-incompatible kidney transplant. Jeon HJ, Lee JG, Kim K, Jang JY, Han SW, Choi J, Ryu JH, Koo TY, Jeong JC, Lee JW, Ishida H, Park JB, Lee SH, Ahn C, Yang J. Am J Transplant. 2019 Aug 1.
PBMC mRNA COX7A2L, CD69, CD14, CFD, and FOXJ3 ABO-i
The regulation of interferon type I pathway-related genes RSAD2 and ETV7 specifically indicates antibody-mediated rejection after kidney transplantation. Matz M, Heinrich F, Zhang Q, Lorkowski C, Seelow E, Wu K, Lachmann N, Addo RK, Durek P, Mashreghi MF, Budde K. Clin Transplant. 2018 Dec;32(12):e13429.
PBMC mRNA, IFN type I and II signature gene, .ETV7, RSAD2 MicroRNA regulation in blood cells of renal transplanted patients with interstitial fibrosis/tubular atrophy and antibody-mediated rejection. Matz M, Heinrich F, Lorkowski C, Wu K, Klotsche J, Zhang Q, Lachmann N, Durek P, Budde K, Mashreghi MF. PLoS One. 2018 Aug 13;13(8):e0201925.
PBMC miRNA miR-145-5p as IFTA specific marker miR-223-3p, miR-424-3p and miR-145-5p in TCMR and ABMR
Cell-free microRNA-148a is associated with renal allograft dysfunction: Implication for biomarker discovery. Nariman-Saleh-Fam Z, Bastami M, Ardalan M, et al. J Cell Biochem 2019; 120: 5737-5746. Plasma cell-free miRNA-148a correlated with renal function and histological grades
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Biomarker for ABMR (2018-2019)
OMICS (urine)
Urinary proteomics to diagnose chronic active antibody-mediated rejection in pediatric kidney transplantation - a pilot study. Kanzelmeyer NK, Zürbig P, Mischak H, Metzger J, Fichtner A, Ruszai KH, Seemann T, Hansen M, Wygoda S, Krupka K, Tönshoff B, Melk A, Pape L. Transpl Int. 2019 Jan;32(1):28-37
Urine proteomics identify 79 significant biomarkers CKD273
Non-invasive staging of chronic kidney allograft damage using urine metabolomic profiling. Landsberg A, Sharma A, Gibson IW, Rush D, Wishart DS, Blydt-Hansen TD. Pediatr Transplant. 2018 Aug;22(5):e13226.
Urine metabolomics profiling IFTA GS (not ABMR)
Biomarker for ABMR (2018-2019)
Cell free DNA (Blood)
Diagnostic application of kidney allograft-derived absolute cell-free DNA levels during transplant dysfunction. Whitlam JB, Ling L, Skene A, Kanellis J, Ierino FL, Slater HR, Bruno DL, Power DA. Am J Transplant. 2019 Apr;19(4):1037-1049
graft-derived cell-free DNA for ABMR.
Donor-derived Cell-free DNA Identifies Antibody-mediated Rejection in Donor Specific Antibody Positive Kidney Transplant Recipients. Jordan SC, Bunnapradist S, Bromberg JS, Langone AJ, Hiller D, Yee JP, Sninsky JJ, Woodward RN, Matas AJ. Transplant Direct. 2018 Aug 20;4(9):e379.
Combined use of dd-cfDNA and DSA for ABMR
Donor-specific Cell-free DNA as a Biomarker in Solid Organ Transplantation. A Systematic Review. Knight SR, Thorne A, Lo Faro ML. Transplantation. 2019 Feb;103(2):273-283
Discriminatory power of dd-cfDNA was greatest for higher grades of T cell-mediated and antibody-mediated acute rejection, with high negative predictive values.
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non-adherence