Review
Copyright ©The Author(s) 2016.
World J Transplant. Mar 24, 2016; 6(1): 28-41
Published online Mar 24, 2016. doi: 10.5500/wjt.v6.i1.28
Table 1 Proteomic studies on renal allograft rejection
Ref.B/UTraining setnValidation setnProteomic methodPerformanceIdentified moleculesRemarks
Akkina et al[35]UC (bx)13NoneiTRAQ-NRNoneStudy included healthy individuals. Study concentrates on longitudinal stability of peptides in rejecting and non-rejecting patients
BL1MALDI-
IIa1MS/MS
aABMR1
Clarke et al[36]UC (st)15NoneSELDI-Accuracy 91% Sensitivity 83% Specificity 100% (2-marker classifier)None
AR15TOF-MS
Freue et al[37]BC (bx)21NoneiTRAQ-AUC 0.86 Sensitivity 80% specificity 90% (4-marker classifier)Up-regulated: TTN, LBP, PI16, CFD, MBL2, SERPINA10, B2M Down-regulated: KNG1, AFM, SERPINA5, LCAT, SHBGELISA was performed on 4 of the identified markers (coagulation factor IX, SHBG, CFD, LCAT) in blood
Ia7MALDI-
Ib1MS/MS
IIa3
Günther et al[38]BC (st)13C (st)7iTRAQ-AUC 0.7621 peptidesDifferent statistical approaches to integrate proteomics and transcriptomic results are presented
AR13AR7MALDI-Sensitivity 57%
MS/MSspecificity 86%
Jahnukainen et al[39]UC (st)29NoneSELDI-Sensitivity 81% Specificity 84% (100-marker classifier)None21 of the 28 rejection samples showed also signs of chronic rejection Article concentrates on differentiation of AR and BKV-NP
Ia-IIb28TOF-MS
BKV21
Ling et al[40]UC (bx)10C (bx)10LC-MALDI-AUC 0.96 (40-marker classifier)COL1A2, COL3A1, UMOD, MMP-7, SERPING1, TIMP1Study included healthy individuals and patients with native kidney disease (nephrotic syndrome). Results of proteomic analysis are related to mRNA expression profiling of corresponding biopsies
AR10AR10TOF-MS
BKV10BKV4LC-MS/MS
Loftheim et al[41]UC (st)6None2D LC-NRUp-regulated: IGFBP7, VASN, EGF, LGALS3BPStudy collected sequential urines from the beginning after Tx. Analysed samples for rejection patterns were taken 7-11 d before biopsy
BL1MS/MS
Ia4
IIa1
Mao et al[42]UC (bx)22C (bx)14SELDI-Sensitivity 90% Specificity 71% (4-marker classifier)NoneAll TCMR cases were subclinical rejections with grades ≥ Ia
TCMR27TCMR10TOF-MS
Metzger et al[43]UC (bx)23C (bx)36CE-MSAUC 0.91 Sensitivity 93% Specificity 78% (14-marker classifier)3 fragments of COL1A1, 1 fragment of COL3A1Rejections in the training set were all subclinical. The validation set contained 10 clinical and 18 subclinical rejection cases. Confounder like ATI in biopsies, urinary tract infection and CMV infection were considered
Ia13Ia23LC-MS/MS
Ib3Ib5
O’Riordan et al[44]UC (st)22NoneSELDI-AUC 0.91 Sensitivity 91% Specificity 77% (2-marker classifier)Up-regulated: SERPINA3 Downregulated: DEFB1Study included healthy individuals
AR23TOF-MS
O’Riordan et al[45]UC (st)22NoneSELDI-AUC 0.91 Sensitivity 91% Specificity 77% (2-marker classifier)Up-regulated: SERPINA3 Downregulated: DEFB1
BL3TOF MS
Ia6LC-MS/MS
Ib4
IIa7
IIb3
Pisitkun et al[46]UC (bx)2NoneLC-MS/MSNRNumerous molecules
Ia4
Ib1
IIa2
ATI7
Quintana et al[47]UC (st)8a/cABMR8MALDI-IFTA vs cABMR AUC 1.0 Sensitivity 100% Specificity 100% (6-marker classifier)NoneStudy included healthy individuals
a/cABMR10IFTA6TOF-MS
IFTA8
Quintana et al[48]UC (st)5C (st)9LC-MS/MSC vs IFTA/ABMR: AUC 0.82 IFTA vs ABMR 100% correct IFTA, 90% correct ABMR (2-markers)Down-regulated: UMOD Differentiation between controls and IFTA/ABMR: KNG1Study included healthy individuals Two unidentified peptides could differentiate between IFTA and ABMR, based on quantitative differences of the peptides (higher in ABMR)
a/cABMR10a/cABMR11
IFTA8IFTA8
Reichelt et al[49]UC (bx)10NoneSELDI-SAX2 protein chip: Sensitivity 90% Specificity 80% CM10 protein chip: Sensitivity 92% Specificity 85% (2-marker classifier)None
Ia7TOF-MS
Ib3
IIa1
IIb2
Schaub et al[13]UC (bx)22NoneSELDI-Sensitivity 94% Specificity 82% (3-marker classifier)Cleaved B2M Cleaved B2MStudy included healthy individuals. The clinical confounder CMV viremia was assessed. Longitudinal evaluation of urine proteome patterns differentiated between patients with stable course and rejection
Ia7TOF-MS
Ib8
IIa3
ATI5
GL5
Schaub et al[15]UC (bx)22NoneSELDI-NRStudy included healthy individuals. Study concentrated on cleavage mechanisms for b2-microglobulin
Ia7TOF-MS,
Ib8LC-MALDI-
IIa3MS
ATI5
GL5
Sigdel et al[14]UC (bx)10NoneLC-MALDI-NRList of 73 candidates, incl. fragments of collagens, UMOD, B2M, PTGDSStudy included healthy individuals
AR10MS/MS
Sigdel et al[50]UC (bx)10NoneLC-MS/MSAUC 0.84-0.97 for 3 single molecules (by ELISA)Upregulated: SERPINF1 Down-regulated: UMOD, CD44Study included healthy individuals and patients with native kidney disease (proteinuria)
AR10
Sigdel et al[51]UC (bx)30NoneiTRAQ-AUC 0.8 for 3 single molecules (by ELISA)HLA-DRB1, KRT14, HIST1H4B, FGG, ACTB, FGB, FGA, KRT7, DPP4, cleaved B2MIn ELISA studies, FGG could also segregate AR from BKV-nephropathy Validation set for detection of FGG, HLA DRB1, FGB by ELISA included 44 stable transplant patients and 44 patients with rejection
Ia-IIb30LC-MS/MS
aABMR2
IFTA30
BKV18
Sigdel et al[52]UC (bx)20NoneiTRAQ-NREnriched in exosomal fraction in AR: A2M, APOA2, APOM, CD5L, CLCA1, FGA, FGB, IGHM, DEFA5, PROS1, KIAA0753 Exclusively in the exosomal fraction in AR: CLCA1, PROS1, KIAA0753Study concentrated on differences between the whole proteome in urine (non-fractionated) and the exosomal fraction
≥ Ia20LC-MS/MS
Stubendorff et al[53]UC (st)16C (st)16SELDI-Sensitivity 94% Specificity 44% (4-marker classifier) Sensitivity 80% Specificity 81% for 2 molecules (by ELISA)Up-regulated: A1MG, HPResults on longitudinally collected samples suggest that alpha-1-microglobulin and haptoglobin indicate upcoming AR early
AR16AR16TOF MS
Sui et al[54]BC (bx)12NoneMALDI-Recognition capability for AR 90%NoneStudy included healthy individuals. Sample clean-up was performed with magnetic beads
AR12TOF-MS
CR12
Wang et al[55]BC (bx)19C (bx)10SELDI-C vs subclinical ≥ Ia Sensitivity 100% Specificity 90% (3-marker classifier) C vs TCMR Sensitivity 90% Specificity 90% (7-marker classifier) AR vs subclinical Sensitivity 100% Specificity 100% (4-marker classifier)None≥ Ia refers to subclinical rejections only. All (non-graded) TCMR cases were clinical rejections
≥ Ia14≥ Ia10TOF-MS
TCMR28
ATI10
Wittke et al[56]UC (bx)29C (bx)10CE-MS,Sensitivity 67% Specificity 80% (17-marker classifier)COL4A5Transplant patients with urinary tract infection were included, with biopsy-confirmed absence of rejection. Of the rejection cases, 13 were subclinical and 6 clinical
Ia11Ia6LC-MS/MS
Ib6Ib3
IIa1
IIb1UTI7
UTI10
Wu et al[57]BC (st)8NoneiTRAQ-NRNumerous molecules belonging to different pathways: e.g., inflammatory response, complement, defence response, protein maturation and processing, humoral immune response
Ib12D LC-
IIa2MS/MS
IIb1
III1
Yang et al[58]UC (bx)36C (bx)14SELDI-C vs TCMR/ABMR Sensitivity 100% Specificity 78% (3-marker classifier) ABMR vs TCMR Sensitivity 80% Specificity 95% (5-marker classifier)None
TCMR30TCMR10TOF-MS
aABMR25aABMR10
ATI10
Zhang et al[59]UC (bx)41NoneMALDI-Different classifier combinations: Sensitivity 73%-88% Specificity 53%-62%Up-regulated: B2M, SERPINA1. Down-regulated: PSAPStudy included healthy individuals and patients with native kidney disease (nephrotic syndrome). Saposin B was high in transplant patients with stable course over 280 d and low in patients with subsequent graft failure
CR/(AR)90TOF-MS
MALDI-
MS/MS
Ziegler et al[60]BC48NoneSELDI-Sensitivity 100% Specificity 94% for 2 molecules (by ELISA)Out of 22 candidates decreased: APOA1, SERPINA3Two patients with TCMR had also signs of additional ABMR. The 2 markers for rejection were not informative in samples collected a few days before the rejection
Ia10TOF-MS
Ib7MALDI-
MS/MS
Table 2 Ongoing proteomic studies on rejection in renal transplant patients
Study identifier and titleAimInstitution/PISingle/multi-centrePatientsStudy startEstimated primary completionStatus of the study
NCT01515605Analysis of GATA3, GATA4, GAPDH, TRPC3, TRPC6, granzyme B, perforin, FOXP3, ISG15, Mx1, MMP-3, MMP-9 in blood cells, proteomic analysis of urine, tissue analysis in a longitudinal fashion. Correlation of these parameters to the outcomeOdense University Hospital, DenmarkNR1000January 2011March 2014Unknown
Molecular biological and molecular genetic monitoring of therapy after kidney transplantation
NCT01315067Phase III in-place validation of a pre-defined, published urinary peptide panel for acute TCMR against the current standard allograft biopsy[43]Hannover Medical School, GermanyMulti600October 2011December 2015Active, not recruiting
Non-invasive diagnosis of acute rejection in renal transplant patients using mass spectrometry of urine samples - a multicentre diagnostic phase III trial[62]
NCT01531257Validation of a set of candidate molecules by urine proteomics, gene expression analysis of blood cells and graft biopsies in a longitudinal fashion with respect to AR and IFTANorthwestern University, Chicago, Illinois, United StatesSingle250April 2010April 2016Recruiting
Proteogenomic monitoring and assessment of kidney transplant recipients
NCT01289717Discovery and validation of candidate molecules by urine proteomics, gene expression analysis of blood cells and allograft biopsies in a longitudinal fashion with respect to AR and IFTANational Institute of Allergy and Infectious Diseases; Northwestern University, Chicago, Illinois, United StatesMulti307March 2011June 2016Active, not recruiting
Discovery and validation of proteogenomic biomarker panels in a prospective serial blood and urine monitoring study of kidney transplant recipients - transplant proteogenomics
NCT02463253Analysis of proteogenomic and proteomic biomarkers in relation to the biopsy diagnosis of acute rejection in a longitudinal fashionUniversity of California, Sacramento, California, United StatesSingle50April 2015December 2016Recruiting
Correlation of molecular biomarkers with biopsy findings and outcomes in renal transplant recipients