Salvadori M, Tsalouchos A. Biomarkers in renal transplantation: An updated review. World J Transplant 2017; 7(3): 161-178 [PMID: 28698834 DOI: 10.5500/wjt.v7.i3.161]
Corresponding Author of This Article
Maurizio Salvadori, MD, Renal Unit, Department of Transplantation, Careggi University Hospital, viale Pieraccini 18, 50139 Florence, Italy. maurizio.salvadori1@gmail.com
Research Domain of This Article
Transplantation
Article-Type of This Article
Review
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Table 5 Seventeen genes involved in the study kidney solid organ response test
Symbol
Gene name
Cytoband
Genes derived from the NIH SNSO1 study
DUSP1
Dual-specificity phosphatase 1
5q35.1
NAMPT
Nicotinamide phosphoribosyltransferase
7q22.3
PSEN1
Presenilin 1
14q24.2
MAPK9
Mitogen-activated protein kinase 9
5q35.3
NKTR
Natural killer cell triggering receptor
3p22.1
CFLAR
CASP8 and FADD like apoptosis regulator gene
2q33.1
IFNGR1
Ligand binding chain of the gamma interferon receptor gene
6q23.3
ITGAX
Integrin alphaXchain protein encoding gene
16p11.2
RNF130
Ring finger motif encoding gene
5q35.3
RYBP
RING1 and YY1 binding protein encoding gene
3p13
Genes added to improve the accuracy of kSORT
CEACAM4
Carcinoembryonic antigen related cell adhesion molecule 4
19q13.2
EPOR
Erythropoietin receptor encoding gene
19p13.2
GZMK
Granzyme K encoding gene
5q11.2
RARA
Retinoic acid receptor encoding gene
17q21.2
RHEB
Ras homolog enriched in brain encoding gene
7q36.1
RXRA
Retinoic X receptor alpha encoding gene
9q34.2
SLC25A37
Solute carrier family 25 number 37 encoding gene
8p21.2
Table 6 Performance of kidney solid organ response test in the acute rejection in renal transplantation AART143, AART124, and AART100 cohorts
kSORT predictions
AART143 (training set)
AART124 (validation set)
AART100 (cross-validation set)
AR
No AR
AR
No AR
AR
No AR
Real results
3
AR
39
8
21
2
36
43
No AR
9
87
1
100
3
Sensitivity (95%CI)
82.98% (69.19%-92.35%)
91.30% (71.96%-98.38%)
92.31% (79.13%-98.38%)
Specificity (95%CI)
90.63% (82.95%-95.62%)
99.01% (94.61%-99.97%)
93.48% (82.1%-96.63%)
PPV (95%CI)
81.25% (68.06%-89.81%)
95.46% (78.20%-99.19%)
93.21% (79.68%-97.35%)
NPV (95%CI)
91.58% (84.25%-95.67%)
98.04% (93.13%-99.46%)
93.48% (82.45%-97.76%)
AUC (95%CI)
0.94 (0.91-0.98)
0.95 (0.88-1.00)
0.92 (0.86-0.98)
Table 7 Eleven genes overexpressed in the common rejection module[103]
Symbol
Gene name
Cytoband
BASP1
Brain abundant membrane attached signal protein 1
5p15.1
CD6
CD6 molecule
11q12.2
CXCL10
C-X-C Motif chemokine ligand 10
4q21.1
CXCL9
C-X-C Motif chemokine ligand 9
4q21.1
INPP5D
Inositol polyphosphate-5-phosphatase D
2q37.1
ISG20
Interferon stimulated exonuclease gene 20
15q26.1
LCK
LCK protooncogene, SRC family tyrosine kinase
1p35.2
NKG7
Natural killer cell granule protein 7
19q13.41
PSMB9
Proteasome subunit beta 9
6p21.32
RUNX3
Runt related transcription factor 3
1p36.11
TAP1
Transporter 1, ATP binding cassette subfamily B member
6p21.32
Table 8 Analysis of pooled urine proteins collected from patients with acute rejection, BK virus nephropathy, and chronic allograft nephropathy when compared to STA urine with the criteria of > 1.5 fold change of each transplant injury phenotype (acute rejection, BK virus nephropathy, and chronic allograft nephropathy), compared to STA pooled urine and with a P-value of ≤ 0.05[131]
Wingless-type MMTV integration site family member 9A
1q42
0.212
0.0332
ASB15
Ankirin repeat and SOCS box-containing 15
7q31.31
-263
0.0079
RXRA
Retinoid X receptor alpha
9q34.3
-0.3
0.0023
Table 11 International research consortia in rejection/tolerance
Acronym
Description
Year
ITN
Immune tolerance network
Since 2002
IOC
Indices of tolerance
2003-2007
RISET
Reprogramming the immune system for establishment of tolerance
2005-2010
GAMBIT Study
Genetic analysis and monitoring of biomarkers of immunological tolerance
2010
The One Study
A unified approach to evaluating cellular immunotherapy in solid organ transplantation
2011
Bio-DRIM
Personalized minimization or immunosuppression after solid organ transplantation by biomarker driven stratification of patients to improve the long-term outcome and health-economic data of transplantation
2012
BIOMARGIN
Biomarkers of renal graft injuries in kidney allograft recipients
2013
Table 12 Immune/inflammatory molecules among the 357 gene signatures of tolerance
Categories
Diseases or functions annotation
Molecules
No. of molecules
Cell-to-cell signaling and interaction, cellular function and maintenance, hematological system development and function, inflammatory response
Phagocytosis of leukocyte cell lines
FGR, MRC1, TLR4
3
Cell-to-cell signaling and interaction, hematological system development and function, immune cell trafficking, inflammatory response, tissue development
Binding of neutrophils
FGR, LSP1, TLR4
3
Antimicrobial response, inflammatory response
Antibacterial response
CARD9, FGR, LYST, NLRC4, TLR4
5
Cell-to-cell signaling and interaction, hematological system development and function, inflammatory response