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The frequently occurring T cell mediated rejection (TCMR) is a risk factor for allograft failure. Immunosuppressive therapy fails to reverse almost 40% of TCMRs occurring in human kidney allografts. A better understanding of the molecular mechanisms of TCMR and precision therapeutics may improve allograft longevity. We investigated adaptive immune landscape of TCMR by genome wide RNA sequencing of 34 prototypic kidney allograft biopsies from 34 adult recipients of human kidney allografts. Sixteen of the 34 biopsies were categorized as Banff TCMR and the remaining 18 as Banff Normal biopsies. Computational analysis identified higher intragraft abundance of the gene sets for key players of adaptive immune system in TCMR. TCMR allografts were characterized by, i) increased antigen processing and presentation and T cell receptor signaling, ii) increased memory T cells, Tregs, Th1, Th2 and Th17 subsets, iii) increased aerobic glycolysis of lymphocytes and reduced metabolic activity of graft parenchymal cells, iv) increased T cell inhibitory receptors and exhaustion markers, v) increased apoptosis and necroptosis, and vi) increased extracellular matrix remodeling, all in comparison to Normal biopsies. Our genome-wide transcriptomics provides an atlas of adaptive immune landscape of TCMR in human kidney allografts, help deduce molecular mechanisms and prioritization of therapeutic targets.

BK virus nephropathy (BKVN) is a frequent and serious post-transplant complication and undermines realization of the full benefits of kidney transplantation. We developed a Bak amplicon-based standard curve for absolute quantification of BKV VP1 mRNA copy number in the real time quantitative PCR (RT-qPCR) assay and investigated the performance characteristics of this novel assay.We determined analytical specificity, sensitivity, and precision of our 73 bp mouse Bak amplicon based standard curve for absolute quantification of BKV VP1 mRNA in RT-qPCR assays. The diagnostic accuracy of the Bak standard curve in the RT-qPCR assay for the noninvasive diagnosis of BKVN in human kidney allograft recipients was investigated by quantification of BKV VP1 mRNA copy number in 192 urine samples matched to 192 kidney allograft biopsies from 155 unique kidney allograft recipients. Intraclass correlation coefficients (ICC) were calculated for the threshold cycles (Ct) and BKV VP1 mRNA copy number observed in the RT-qPCR assay with the Bak standard curve or the BKV standard curve.Performance characteristics of the Bak amplicon-based RT-qPCR assay were exceptional with a slope of -3.291, Y-intercept of 38.60, Rsup2/supvalue of 1.00, efficiency of 101% and error of 0.014. Amplification was specific for the Bak amplicon. Intra assay standard deviation (SD) was 0.08 or less and inter assay SD was 0.11 or less for 31 cycles or less of amplification of the Bak amplicon. Receiver operating characteristic (ROC) curve analysis of BKV VP1 mRNA copy number in 192 biopsy matched urines yielded an area under the ROC of 0.982 (95% CI, 0.964 to 0.999, P lt; 0.0001) for discriminating patients with BKVN biopsies from patients without BKVN biopsies. The striking identity in the measurement of BKV VP1 mRNA copy numbers in the Bak amplicon-based RT-qPCR assay and in the BKV amplicon-based RT-qPCR assay was shown by an ICC of 1.00 when the Cts were compared, and an ICC of 0.99 when the logsub10/subBKV VP1 mRNA copy numbers were compared.Bak standard curve for absolute quantification of BKV VP1 mRNA copy number in the RT-qPCR assay demonstrated high efficiency, short and long-term precision and analytical specificity. BKVN was diagnosed with high accuracy. Our new findings, viewed in the light of our earlier demonstration that absolute quantification of a panel of mRNAs encoding immunoregulatory proteins is feasible with the Bak amplicon-based RT-qPCR assays, suggest that the Bak standard curve could serve as a universal calibrator for absolute quantification of transcripts in RT-qPCR assays and help reduce the workload, costs and eliminate contamination of genes of interest by repeated amplification of gene specific standard curves.

BackgroundKidney transplantation is a life-restorative therapy, but immune rejection undermines allograft survival. Urinary cell mRNA profiles offer a noninvasive means of diagnosing kidney allograft rejection, but urine processing protocols have logistical constraints. We aimed to determine whether the centrifugation-based method for urinary cell mRNA profiling could be replaced with a simpler filtration-based method without undermining quality.MethodsWe isolated RNA from urine collected from kidney allograft recipients using the Cornell centrifugation-based protocol (CCBP) or the Zymo filter-based protocol (ZFBP) and compared RNA purity and yield using a spectrophotometer or a fluorometer and measured absolute copy number of transcripts using customized real-time quantitative PCR assays. We investigated the performance characteristics of RNA isolated using ZFBP and stored either at - 80°C or at ambient temperature for 2 to 4 days and also when shipped to our Gene Expression Monitoring (GEM) Core at ambient temperature. We examined the feasibility of initial processing of urine samples by kidney allograft recipients trained by the GEM Core staff and the diagnostic utility for acute rejection, of urine processed using the ZFBP.ResultsRNA purity (P=0.0007, Wilcoxon matched paired signed-ranks test) and yield (P0.05) in the filtrates containing RNA stored either at -80°C or at ambient temperature for 2 to 4 days or shipped overnight at ambient temperature. RNA purity, yield, and absolute copy numbers of 18S rRNA and TGF-β1 mRNA were also not different (P>0.05) between home processed and laboratory processed urine filtrates. Urinary cell levels of mRNA for granzyme B (P=0.01) and perforin (P=0.0002) in the filtrates were diagnostic of acute rejection in human kidney allografts.ConclusionsUrinary cell mRNA profiling was simplified using the ZFBP without undermining RNA quality or diagnostic utility. Home processing by the kidney allograft recipients, the stability of RNA containing filtrates at ambient temperature, and the elimination of the need for centrifuges and freezers represent some of the advantages of ZFBP over the CCBP for urinary cell mRNA profiling.

We tested the hypothesis that single-cell RNA-sequencing (scRNA-seq) analysis of human kidney allograft biopsies will reveal distinct cell types and states and yield insights to decipher the complex heterogeneity of alloimmune injury. We selected 3 biopsies of kidney cortex from 3 individuals for scRNA-seq and processed them fresh using an identical protocol on the 10x Chromium platform; (i) HK: native kidney biopsy from a living donor, (ii) AK1: allograft kidney with transplant glomerulopathy, tubulointerstitial fibrosis, and worsening graft function, and (iii) AK2: allograft kidney after successful treatment of active antibody-mediated rejection. We did not study T-cell-mediated rejections. We generated 7217 high-quality single cell transcriptomes. Taking advantage of the recipient-donor sex mismatches revealed by X and Y chromosome autosomal gene expression, we determined that in AK1 with fibrosis, 42 months after transplantation, more than half of the kidney allograft fibroblasts were recipient-derived and therefore likely migratory and graft infiltrative, whereas in AK2 without fibrosis, 84 months after transplantation, most fibroblasts were donor-organ-derived. Furthermore, AK1 was enriched for tubular progenitor cells overexpressing profibrotic extracellular matrix genes. AK2, eight months after successful treatment of rejection, contained plasmablast cells with high expression of immunoglobulins, endothelial cell elaboration of T cell chemoattractant cytokines, and persistent presence of cytotoxic T cells. In addition to these key findings, our analysis revealed unique cell types and states in the kidney. Altogether, single-cell transcriptomics yielded novel mechanistic insights, which could pave the way for individualizing the care of transplant recipients.

We tested the hypothesis that single-cell RNA-sequencing (scRNA-seq) analysis of human kidney allograft biopsies will reveal distinct cell types and states and yield insights to decipher the complex heterogeneity of alloimmune injury. We selected 3 biopsies of kidney cortex from 3 individuals for scRNA-seq and processed them fresh using an identical protocol on the 10x Chromium platform; (i) HK: native kidney biopsy from a living donor, (ii) AK1: allograft kidney with transplant glomerulopathy, tubulointerstitial fibrosis, and worsening graft function, and (iii) AK2: allograft kidney after successful treatment of active antibody-mediated rejection. We did not study T-cell-mediated rejections. We generated 7217 high-quality single cell transcriptomes. Taking advantage of the recipient-donor sex mismatches revealed by X and Y chromosome autosomal gene expression, we determined that in AK1 with fibrosis, 42 months after transplantation, more than half of the kidney allograft fibroblasts were recipient-derived and therefore likely migratory and graft infiltrative, whereas in AK2 without fibrosis, 84 months after transplantation, most fibroblasts were donor-organ-derived. Furthermore, AK1 was enriched for tubular progenitor cells overexpressing profibrotic extracellular matrix genes. AK2, eight months after successful treatment of rejection, contained endothelial cells that expressed T-cell chemoattractant cytokines. In addition to these key findings, our analysis revealed unique cell types and states in the kidney. Altogether, single-cell transcriptomics yielded novel mechanistic insights, which could pave the way for individualizing the care of transplant recipients.

BACKGROUND: RNA sequencing (RNA-Seq) is a molecular tool to analyze global transcriptional changes, deduce pathogenic mechanisms, and discover biomarkers. We performed RNA-Seq to investigate gene expression and biological pathways in urinary cells and kidney allograft biopsies during an acute rejection episode and to determine whether urinary cell gene expression patterns are enriched for biopsy transcriptional profiles. METHODS: We performed RNA-Seq of 57 urine samples collected from 53 kidney allograft recipients (patients) with biopsies classified as acute T cell–mediated rejection (TCMR; n = 22), antibody-mediated rejection (AMR; n = 8), or normal/nonspecific changes (No Rejection; n = 27). We also performed RNA-Seq of 49 kidney allograft biopsies from 49 recipients with biopsies classified as TCMR (n = 12), AMR (n = 17), or No Rejection (n = 20). We analyzed RNA-Seq data for differential gene expression, biological pathways, and gene set enrichment across diagnoses and across biospecimens. RESULTS: We identified unique and shared gene signatures associated with biological pathways during an episode of TCMR or AMR compared with No Rejection. Gene Set Enrichment Analysis demonstrated enrichment for TCMR biopsy signature and AMR biopsy signature in TCMR urine and AMR urine, irrespective of whether the biopsy and urine were from the same or different patients. Cell type enrichment analysis revealed a diverse cellular landscape with an enrichment of immune cell types in urinary cells compared with biopsies. CONCLUSIONS: RNA-Seq of urinary cells and biopsies, in addition to identifying enriched gene signatures and pathways associated with TCMR or AMR, revealed genomic changes between TCMR and AMR, as well as between allograft biopsies and urinary cells.

In order to evaluate whether distinct cell types and states may be identified in human kidney allograft rejection compared to normal kidney, we sequenced 3 kidney biopsies using the 10x Chromium platform and generated 7,217 high-quality single-cell transcriptomes. Taking advantage of the recipient-donor sex mismatches in the allograft biopsies, we unexpectedly observed that in the biopsy with fibrosis, more than half of the kidney allograft fibroblasts were recipient-derived and therefore likely migratory and graft infiltrative, whereas in the biopsy without fibrosis, all the fibroblasts were donor-derived. Furthermore, tubular progenitor cells that overexpress profibrotic extracellular matrix genes potentially contributing to fibrosis, were enriched in the biopsy with fibrosis. In addition, our analysis revealed unique cell types and states in the kidney. Single-cell transcriptomics complemented histopathology and yielded promising mechanistic insights for individualizing the care of transplant recipients and revealed a new approach to study cell migratory contributions in allograft fibrosis.

Kidney transplantation is the treatment of choice for patients with end-stage kidney failure, but transplanted allograft could be affected by viral and bacterial infections and by immune rejection. The standard test for the diagnosis of acute pathologies in kidney transplants is kidney biopsy. However, noninvasive tests would be desirable. Various methods using different techniques have been developed by the transplantation community. But these methods require improvements. We present here a cost-effective method for kidney rejection diagnosis that estimates donor/recipient-specific DNA fraction in recipient urine by sequencing urinary cell DNA. We hypothesized that in the no-pathology stage, the largest tissue types present in recipient urine are donor kidney cells, and in case of rejection, a larger number of recipient immune cells would be observed. Extensive in-silico simulation was used to tune the sequencing parameters: number of variants and depth of coverage. Sequencing of DNA mixture from 2 healthy individuals showed the method is highly predictive (maximum error < 0.04). We then demonstrated the insignificant impact of familial relationship and ethnicity using an in-house and public database. Lastly, we performed deep DNA sequencing of urinary cell pellets from 32 biopsy-matched samples representing two pathology groups: acute rejection (AR, 11 samples) and acute tubular injury (ATI, 12 samples) and 9 samples with no pathology. We found a significant association between the donor/recipient-specific DNA fraction in the two pathology groups compared to no pathology (P = 0.0064 for AR and P = 0.026 for ATI). We conclude that deep DNA sequencing of urinary cells from kidney allograft recipients offers a noninvasive means of diagnosing acute pathologies in the human kidney allograft.

Background—BK virus nephropathy (BKVN) may cause renal allograft dysfunction and failure. The gold standard test is kidney biopsy, which is invasive and costly. A noninvasive, accurate biomarker for diagnosis of BKVN and prognostication of allograft function after BKVN infection may improve allograft survival.

Immune rejection of organ transplants is a life-threatening complication and is exemplified by alterations in the expression of protein-encoding genes. Because microRNAs (miRNAs) regulate the expression of genes implicated in adaptive immunity, we investigated whether acute rejection (AR) is associated with alterations in miRNA expression within allografts and whether expression profiles are diagnostic of AR and predict allograft function. Seven of 33 renal allograft biopsies (12 AR and 21 normal) were profiled using microfluidic cards containing 365 mature human miRNAs (training set), and a subset of differentially expressed miRNAs were quantified in the remaining 26 allograft biopsies (validation set). We found a strong association between intragraft expression of miRNAs and messenger RNAs (mRNAs), and that AR, and renal allograft function, could be predicted with a high level of precision using intragraft levels of miRNAs. Our investigation of miRNA expression in normal human peripheral blood mononuclear cells (PBMCs) showed that miRNAs (miR-142–5p, -155, and -223) overexpressed in AR biopsies are highly expressed in PBMCs, and that stimulation with the mitogen phytohaemagglutinin results in an increase in the abundance of miR-155 and a decrease in miR-223 and let-7c. Quantification of miRNAs in primary cultures of human renal epithelial cells (HRECs) showed that miR-30a-3p, -10b, and let-7c are highly expressed in HRECs, and that stimulation results in a decreased expression of miR-30a-3p. Our studies, in addition to suggesting a cellular basis for the altered intragraft expression of miRNAs, propose that miRNA expression patterns may serve as biomarkers of human renal allograft status.

Background Identification of risk factors for BK virus (BKV) replication may improve transplant outcome. We investigated the impact of immunosuppressive drugs on the prevalence of BKV replication in recipients of human renal allografts. Methods One hundred twenty renal allograft recipients were studied prospectively at 1, 3, and 6 months posttransplantation to identify risk factors for BKV replication. BKV replication was quantified by measurement of urinary cell BKV VP1 mRNA levels using BKV specific primers and TaqMan probe in a real-time quantitative polymerase chain reaction assay. Levels of urinary cell mRNA for granzyme B, CD103, and transforming growth factor-beta1 were measured to ascertain whether BKV replication is associated with an inflammatory signature. Results The prevalence of BKV replication increased over time and was highest at 6 months compared with 1 or 3 months posttransplantation (P 0.05). Conclusions Steroid maintenance therapy and induction with antithymocyte globulin are independent risk factors for BKV replication in renal allograft recipients treated with tacrolimus and mycophenolate mofetil.

Noninvasive tests to differentiate the basis for acute dysfunction of the kidney allograft are preferable to invasive allograft biopsies. We measured absolute levels of 26 prespecified mRNAs in urine samples collected from kidney graft recipients at the time of for-cause biopsy for acute allograft dysfunction and investigated whether differential diagnosis of acute graft dysfunction is feasible using urinary cell mRNA profiles. We profiled 52 urine samples from 52 patients with biopsy specimens indicating acute rejection (26 acute T cell-mediated rejection and 26 acute antibody-mediated rejection) and 32 urine samples from 32 patients with acute tubular injury without acute rejection. A stepwise quadratic discriminant analysis of mRNA measures identified a linear combination of mRNAs for CD3e, CD105, TLR4, CD14, complement factor B, and vimentin that distinguishes acute rejection from acute tubular injury; 10-fold cross-validation of the six-gene signature yielded an estimate of the area under the curve of 0.92 (95% confidence interval, 0.86 to 0.98). In a decision analysis, the six-gene signature yielded the highest net benefit across a range of reasonable threshold probabilities for biopsy. Next, among patients diagnosed with acute rejection, a similar statistical approach identified a linear combination of mRNAs for CD3e, CD105, CD14, CD46, and 18S rRNA that distinguishes T cell-mediated rejection from antibody-mediated rejection, with a cross-validated estimate of the area under the curve of 0.81 (95% confidence interval, 0.68 to 0.93). Incorporation of these urinary cell mRNA signatures in clinical decisions may reduce the number of biopsies in patients with acute dysfunction of the kidney allograft.

BACKGROUND BK virus-associated nephropathy (BKVN) is associated with an increased risk of graft failure. METHODS Levels of mRNAs encoding proteins implicated in inflammation and fibrosis were measured in urine collected at the time of biopsy diagnosis of BKVN in 29 kidney graft recipients and analyzed for prognosticating graft failure using logistic regression. RESULTS Ten of 29 BKVN patients had graft failure within 36 months of BKVN diagnosis and the remaining 19 patients did not. Serum creatinine level, BKVN biopsy stage, and urinary cell levels of mRNA for plasminogen activator inhibitor (PAI)-1, vimentin, tissue inhibitor of metalloproteinase-1, fibronectin, granzyme B, or perforin were associated with graft failure. A combination of PAI-1 mRNA level, BKVN biopsy stage, and creatinine level (P = 0.0015, by logistic regression) and a combination of PAI-1 mRNA and creatinine levels (P = 0.001) were the best-fitting models for prognosticating graft failure, and PAI-1 mRNA level was the only independent predictor (odds ratio, 2.8; 95% confidence interval [CI], 1.1-6.8; P = 0.03) by multivariable analysis. The area under the curve for the combination of PAI-1 mRNA, biopsy, and creatinine was 0.92 (95% CI, 0.80-1.0; P < 0.001) by receiver operating characteristic curve analysis, and the area under the curve was 0.92 (95% CI, 0.80-1.0; P < 0.001) for the combination of PAI-1 mRNA and creatinine. Graft outcome was correctly predicted in 27 of 29 BKVN patients by either model. CONCLUSION Urinary cell level of PAI-1 mRNA, measured at the time of BKVN diagnosis, is an independent prognosticator of graft failure and a prediction model of serum creatinine and PAI-1 mRNA is as accurate as the model that includes the biopsy result.

The outcome of renal transplantation after an episode of acute rejection is difficult to predict, even with an allograft biopsy.We studied urine specimens from 36 subjects with acute rejection, 18 subjects with chronic allograft nephropathy, and 29 subjects with normal biopsy results. Levels of messenger RNA (mRNA) for FOXP3, a specification and functional factor for regulatory T lymphocytes, and mRNA for CD25, CD3epsilon, perforin, and 18S ribosomal RNA (rRNA) were measured with a kinetic, quantitative polymerase-chain-reaction assay. We examined associations of mRNA levels with acute rejection, rejection reversal, and graft failure.The log-transformed mean (+/-SE) ratio of FOXP3 mRNA copies to 18S ribosomal RNA copies was higher in urine from the group with acute rejection (3.8+/-0.5) than in the group with chronic allograft nephropathy (1.3+/-0.7) or the group with normal biopsy results (1.6+/-0.4) (P0.001 by the Kruskal-Wallis test). FOXP3 mRNA levels were inversely correlated with serum creatinine levels measured at the time of biopsy in the acute-rejection group (Spearman's correlation coefficient = -0.38, P=0.02) but not in the group with chronic allograft nephropathy or the group with normal biopsy results. Analyses of receiver-operating-characteristic curves demonstrated that reversal of acute rejection can be predicted with 90 percent sensitivity and 73 percent specificity with use of the optimal identified cutoff for FOXP3 mRNA of 3.46 (P=0.001). FOXP3 mRNA levels identified subjects at risk for graft failure within six months after the incident episode of acute rejection (relative risk for the lowest third of FOXP3 mRNA levels, 6; P=0.02). None of the other mRNA levels were predictive of reversal of acute rejection or graft failure.Measurement of FOXP3 mRNA in urine may offer a noninvasive means of improving the prediction of outcome of acute rejection of renal transplants.