Clinical significance of protocol biopsy at one month posttransplantation in deceased-donor renal transplantation

Prediction of very early subclinical rejection with machine learning in kidney transplantation

Protocol biopsy is a reliable method for assessing allografts status after kidney transplantation (KT). However, due to the risk of complications, it is necessary to establish indications and selectively perform protocol biopsies by classifying the high-risk group for early subclinical rejection (SCR). Therefore, the purpose of this study is to analyze the incidence and risk factors of early SCR (within 2 weeks) and develop a prediction model using machine learning. Patients who underwent KT at Samsung Medical Center from January 2005 to December 2020 were investigated. The incidence of SCR was investigated and risk factors were analyzed. For the development of prediction model, machine learning methods (random forest, elastic net, extreme gradient boosting [XGB]) and logistic regression were used and the performance between the models was evaluated. The cohorts of 987 patients were reviewed and analyzed. The incidence of SCR was 14.6%. Borderline cellular rejection (BCR) was the most common type of rejection, accounting for 61.8% of cases. In the analysis of risk factors, recipient age (OR 0.98, p = 0.03), donor BMI (OR 1.07, p = 0.02), ABO incompatibility (OR 0.15, p < 0.001), HLA II mismatch (two [OR 6.44, p < 0.001]), and ATG induction (OR 0.41, p < 0.001) were associated with SCR in the multivariate analysis. The logistic regression prediction model (average AUC = 0.717) and the elastic net model (average AUC = 0.712) demonstrated good performance. HLA II mismatch and induction type were consistently identified as important variables in all models. The odds ratio analysis of the logistic prediction model revealed that HLA II mismatch (OR 6.77) was a risk factor for SCR, while ATG induction (OR 0.37) was a favorable factor. Early SCR was associated with HLA II mismatches and induction agent and prediction model using machine learning demonstrates the potential to predict SCR.

Protocol Biopsies on de novo Renal-Transplants at 3 Months after Surgery: Impact on 5-Year Transplant Survival

Background: In many centers, a protocol kidney biopsy (PKB) is performed at 3 months post-transplantation (M3), without a demonstrated benefit on death-censored graft survival (DCGS). In this study, we compared DCGS between kidney transplant recipients undergoing a PKB or without such biopsy while accounting for the obvious indication bias. Methods: In this retrospective, single-center study conducted between 2007 and 2013, we compared DCGS with respect to the availability and features of a PKB. We built a propensity score (PS) to account for PKB indication likelihood and adjusted the DCGS analysis on PKB availability and the PS. Results: A total of 615 patients were included: 333 had a PKB, 282 did not. In bivariate Kaplan–Meier survival analysis, adjusting for the availability of a PKB and for the PS, a PKB was associated with a better 5-year DCGS independently of the PS (p < 0.001). Among the PKB+ patients, 87 recipients (26%) had IF/TA > 0. Patients with an IF/TA score of 3 had the worst survival. A total of 144 patients (44%) showed cv lesions. Patients with cv2 and cv3 lesions had the worst 5-year DCGS. Conclusions: A M3 PKB was associated with improved graft survival independently of potential confounders. These results could be explained by the early treatment of subclinical immunological events. It could be due to better management of the immunosuppressive regimen.

Clinical Significance of Renal Allograft Protocol Biopsies: A Single Tertiary Center Experience in Malaysia

Background

The role of protocol renal allograft biopsy in kidney transplantation is controversial due to the concern with procedural-related complications; however, its role is slowly evolving. Recent evidence suggests that protocol biopsy is useful in detecting subclinical renal pathology. Early recognition and treatment of renal pathologies can improve long-term outcomes of renal allografts.

Methodology

A total of 362 renal allograft protocol biopsies were performed in adult recipients of kidney transplantation between 2012 and 2017. After excluding those with poor quality or those performed with a baseline serum creatinine level >200 umol/L, we analyzed 334 (92.3%) biopsies. Histology reports were reviewed and categorized into histoimmunological and nonimmunological changes. The immunological changes were subcategorized into the following: (1) no acute rejection (NR), (2) borderline changes (BC), and (3) subclinical rejection (SCR). Nonimmunological changes were subcategorized into the following: (1) chronicity including interstitial fibrosis/tubular atrophy (IFTA), chronic T-cell-mediated rejection (TCMR), unspecified chronic lesions, and arterionephrosclerosis, (2) de novo glomerulopathy/recurrence of primary disease (RP), and (3) other clinically unsuspected lesions (acute pyelonephritis, calcineurin inhibitors toxicity, postinfective glomerulonephritis, and BK virus nephropathy). Risk factors associated with SCR were assessed.

Results

For the histoimmunological changes, 161 (48.2%) showed NR, 145 (43.4%) were BC, and 28 (8.4%) were SCR. These clinical events were more pronounced for the first 5 years; our data showed BC accounted for 59 (36.4%), 64 (54.2%), and 22 (40.7%) biopsies within <1 year, 1-5 years, and > 5 years, respectively (p = 0.011). Meanwhile, the incidence for SCR was 6 (3.7%) biopsies in <1 year, 18 (15.3%) in 1-5 years, and 4 (7.4%) in >5 years after transplantation (p=0.003). For the nonimmunological changes, chronicity, de novo glomerulopathy/RP, and other clinically unsuspected lesions were seen in 40 (12%), 10 (3%), and 12 (3.6%) biopsies, respectively. Living-related donor recipients were associated with decreased SCR (p=0.007).

Conclusions

Despite having a stable renal function, our transplant recipients had a significant number of subclinical rejection on renal allograft biopsies.

The regulatory/cytotoxic infiltrating T cells in early renal surveillance biopsies predicts acute rejection and survival

BACKGROUND

To analyze the immune phenotype of T-lymphocyte infiltrations in surveillance renal biopsies with stable renal function early post-transplantation (median time 40 days, range from 18 to 85 days).

METHODS

One hundred and twenty-five surveillance biopsies with interstitial T-lymphocyte infiltration between non-atrophic tubules in the cortex (14 with subclinical rejection, 32 with borderline change and 79 with only interstitial T-lymphocyte infiltration but no obvious pathological abnormalities according to Banff criteria) were enrolled. All cases were classified into two groups: regulatory phenotype (RP) group, which was dominated by FOXP3-positive T lymphocytes in surveillance biopsies, and cytotoxic phenotype (CP) group, which was dominated by Granzyme B-positive T lymphocytes.

RESULTS

The RP group includes 83.2% (104/125) cases, none of which developed acute rejection during nearly 5 years of follow-up. The CP group includes 16.8% (21/125) cases, all of which developed biopsy-proven acute rejection or clinical diagnostic acute rejection within 1 year after biopsy. Glomerular filtration rate and cumulative graft survival time were superior in the RP group than in the CP group (P<0.001).

CONCLUSION

Analyzing the immunophenotype of graft-infiltrating T cells in renal surveillance biopsies during early post-transplantation could predict acute rejection and survival.

Treatment of subclinical injuries detected by protocol biopsy improves the long-term kidney allograft function: a single center prospective randomized clinical trial

BACKGROUND

The long-term benefit of early treatment of subclinical disorders detected in kidney allografts by protocol biopsy is controversial. We collected 145 protocol biopsies from 113 recipients for comparison with 51 control patients in a single-center, prospective, randomized trial.

METHODS

Ultrasound-guided biopsies were performed in recipients with stable renal function. Samples were taken at 3 (n=66) and/or 12 months (n=79) after transplantation. The biopsies were evaluated according to the Banff scheme, and patients were treated based on the diagnosis. Changes in glomerular filtration rate (GFR) were compared with 51 patients who were randomized as a control group.

RESULTS

The findings on 38 samples (29%) were considered to be normal. Based on the pathology findings, such as subclinical acute rejection (n=23), calcineurin inhibitor toxicity (n=28), chronic rejection (n=6), and other specific pathologies (n=23), including polyoma virus nephropathy (n=2), induced treatment among 82 recipients (57%). Significantly better graft function was observed at 3-year follow-up among the biopsy group, compared with controls: GFR = 46.0 ± 13.8 vs 35 ± 15 mL/min (P=.002). The 5-year graft survival was significantly higher in the biopsy (81%) than in the control (55.6%) group (P=.0012).

CONCLUSION

Early detection and treatment of subclinical pathologies improved graft function and long-term survival. Protocol biopsies were a valuable tool for posttransplantation management.

CXCL10 and CXCL13 Expression were highly up-regulated in peripheral blood mononuclear cells in acute rejection and poor response to anti-rejection therapy

BACKGROUND

Acute rejection is still one of the main complications which enhances the cost and the risk to renal graft failure. Chemokines, interacting with respective receptors, can recruit leukocytes into grafts and mediate allograft rejection. In this study, we aimed to analyze gene expression of chemokines including CCL5/RANTES, CXCL10/IP-10, CXCL13/BCA-1, and receptors of CCR5, CXCR3, CXCR5 in peripheral blood mononuclear cells (PBMCs) during acute renal allograft rejection

METHODS

Gene expression of all these chemokines and receptors in PBMCs were analyzed by real-time PCR from 14 stable recipients, 32 biopsy-proven acute rejection (AR), and 5 acute tubular necrosis (ATN).

RESULTS

Gene expression of CCL5, CXCL10, CXCL13, and CCR5 were up-regulated both in AR and ATN group compared to stable recipients (fold change>2, P<0.05). Serum creatinine recovered to baseline level after anti-rejection therapy was defined as AR-sensitive and creatinine maintained above 200 μmol/L as AR-resistant. Expression of CXCL10 and CXCL13 were 5.98-, 2.94-, and 20.5, 10.8-fold change in AR-resistant and AR-sensitive compared to stable recipients, respectively. The expression of CXCL10 and CXCL13 was a twofold change in AR-resistant compared to AR-sensitive recipients (P<0.05). Five out of ten AR-resistant recipients lost graft function in the follow-up.

CONCLUSION

CXCL10 and CXCL13 expression were highly up-regulated in PBMCs in acute renal allograft rejection, especially in poor response to anti-rejection therapy and detrimental prognosis.

Feasibility of diagnosing renal allograft dysfunction by oligonucleotide array: Gene expression profile correlates with histopathology

BACKGROUND

Effective non-invasive monitoring method to tell histopathology is a big challenge in renal transplantation.

METHODS

We used 70-mer long oligonucleotide array with 449 immune related genes to determine gene expression profiles of peripheral blood mononuclear cells (PBMCs) under different immune status including stable renal function (TX), acute tubular necrosis (ATN), biopsy conformed acute rejection (AR), clinical rejection with pathology of borderline changes (BL), clinical rejection without biopsy proven/presumed rejection (PR) and renal dysfunction without rejection (NR).

RESULTS

Distinct molecular expression signatures in each group were found to correlate with histopathology. And we concluded that B cell chemokine CXCL13 and mast cell may play a role in renal allograft rejection through significant difference analysis and functional pathway analysis.

CONCLUSIONS

It provides a potential non-invasive method for monitoring renal allograft function and immune status of renal transplant recipients.

Kidney transplantation from hepatitis B surface antigen positive donors into hepatitis B surface antibody positive recipients: a prospective nonrandomized controlled study from a single center

The number of patients on renal transplant waiting list is increasing rapidly in many countries, exacerbating the shortage of organs. We conducted a study to evaluate the safety and efficacy of deceased-donor kidney transplantation from hepatitis B surface antigen (HBsAg)-positive (+) donors into hepatitis B surface antibody (anti-HBs)-positive (+) recipients. Sixty-five patients received grafts from HBsAg(+) donors, and 308 subjects received grafts from HBsAg-negative(-) donors. Posttransplantation, recipients with HBsAg(-) grafts or HBsAg(+) grafts received 400 U of hepatitis B immunoglobulin once and twice, respectively. The seven recipients who received grafts from hepatitis B virus (HBV) DNA(+) donors were treated with hepatitis B immunoglobulin 400 U weekly for 3 months and lamivudine 100 mg daily for 6 months. All patients were monitored for liver function and hepatitis B viral status. The follow-up period was 38.7 +/- 15.4 months. Although two recipients developed de novo HBV infection, neither patient developed severe liver dysfunction nor died. The incidence of liver injury (39/65 vs. 207/308, chi-square test, p > 0.05) and survival (log-rank test, p > 0.05) did not differ between the groups. We conclude that anti-HBs(+) recipients receiving HBsAg(+) grafts did as well as those receiving HBsAg(-) grafts.

Mycophenolate mofetil: ten years' experience of a renal transplant unit

Mycophenolate mofetil (MMF) use in renal transplantation has allowed a significant decrease in early acute rejection rates. We retrospectively evaluated the incidence of acute rejection episodes, renal function at the first year posttransplant, patient and graft survivals, cytomegalovirus (CMV) infection rate, influence of the degree of sensitization, and number of MHC antigen mismatches on graft survival in two groups of patients receiving either MMF or azathioprine. Group 1 included 149 patients receiving cyclosporine, MMF, and prednisolone; group 2 included 191 patients receiving cyclosporine, azathioprine, and prednisolone. The two groups did not differ in terms of age, sex, degree of sensitization (expressed as percentage of antibodies reactive to panel), MHC mismatch number, cold ischemia time, donor age, or anti-thymocyte globulin induction. In group 1 (MMF) there was a significant decrease in early acute rejection rate (19% vs 57%, P < .0001), longer graft survival at 10 years (92% vs 75%, P = .006), and higher rate of CMV infection (22% vs 12%, P = .004). Renal function at the first year posttransplant and patient survival during follow-up did not differ between the groups. The degree of sensitization influenced graft survival in group 2. The number of MHC mismatches did not influence graft survival in either group. With MMF, there was a significant reduction in early acute rejection rate, a significant increase in graft survival at 10-year follow-up, and diminished impact of the degree of sensitization on graft survival.

Diagnosis of renal allograft subclinical rejection by urine protein fingerprint analysis

AIMS

This study aimed to find new biomarkers and establish urine protein fingerprint model for diagnosis of renal allograft subclinical rejection (SCR).

METHODS

A total of 73 urine samples were analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) combined with bioinformatics tools.

RESULTS

Firstly, 22 urine samples from recipients of stable graft function proved by protocol biopsies and 27 from subclinical rejection gruop were analyzed by SELDI-TOF-MS and Zhejiang University Cancer Institute-ProteinChip Data Analysis System (ZUCI-PDAS). The diagnostic pattern comprised of 4 biomarkers could differentiate SCR group from stable group with sensitivity of 81.5% and specificity of 81.8%. The remaining 14 samples from stable group and 10 samples from SCR were analyzed on the second day as an independent test set. The independent tests yielded a specificity of 71.4% and sensitivity of 90%.

CONCLUSIONS

Urine protein fingerprint analysis by SELDI-TOF-MS combined with bioinformatics can help to discover new biomarkers and provide a non-invasive tool to diagnosis of SCR.