Quantitative detection of BK virus in kidney transplant recipients: a prospective validation study

Abstract Introduction: BK virus (BKV) infection in renal transplant patients may cause kidney allograft dysfunction and graft loss. Accurate determination of BKV viral load is critical to prevent BKV-associated nephropathy (BKVAN) but the cut-off that best predicts BKVAN remains controversial. Objective: To evaluate the performance of a commercial and an in-house qPCR test for quantitative detection of BK virus in kidney transplant recipients. Methods: This was a prospective study with kidney transplant recipients from two large university hospitals in Brazil. Patients were screened for BKV infection every 3 months in the first year post-transplant with a commercial and an in-house real time polymerase chain reaction (qPCR) test. BKVAN was confirmed based on histopathology. The area under the curve for plasma qPCR was determined from receiver operating characteristic analysis. Results: A total of 200 patients were enrolled. Fifty-eight percent were male, 19.5% had diabetes mellitus, and 82% had the kidney transplanted from a deceased donor. BKV viremia was detected in 32.5% and BKVAN was diagnosed in 8 patients (4%). BKVAN was associated with viremia of 4.1 log copies/mL, using a commercial kit. The cut-off for the in-house assay was 6.1 log copies/mL. The linearity between the commercial kit and the in-house assay was R2=0.83. Conclusion: Our study shows that marked variability occurs in BKV viral load when different qPCR methodologies are used. The in-house qPCR assay proved clinically useful, a cheaper option in comparison to commercial qPCR kits. There is an urgent need to make BKV standards available to the international community.

Introdução: A infecção pelo vírus BK (BKV) em pacientes de transplante renal pode levar a disfunção do aloenxerto renal e perda do enxerto. A determinação precisa da carga viral do BKV é fundamental para prevenir a nefropatia associada ao BKV (BKVAN), mas o ponto de corte de melhor valor preditivo para BKVAN ainda é foco de debates. Objetivo: Avaliar o desempenho de um teste de qPCR comercial e outro desenvolvido internamente para detecção quantitativa de vírus BK em receptores de transplante renal. Métodos: O presente estudo prospectivo incluiu receptores de transplante renal de dois grandes hospitais universitários no Brasil. Os pacientes foram testados para infecção por BKV a cada três meses no primeiro ano pós-transplante com um teste comercial de reação em cadeia de polimerase quantitativa em tempo real (qPCR) e outro desenvolvido internamente. A presença de BKVAN foi confirmada com base na histopatologia. A área sob a curva para o qPCR plasmático foi determinada a partir da análise da característica de operação do receptor. Resultados: Um total de 200 pacientes foram incluídos. Cinquenta e oito por cento eram do sexo masculino, 19 Patients were screened for BKV infection every 3 months in the first year post--transplant with a commercial and an in-house real time polymerase chain reaction (qPCR) test. BKVAN was confirmed based on histopathology. The area under the curve for plasma qPCR was determined from receiver operating characteristic analysis. Results: A total of 200 patients were enrolled. Fifty-eight percent were male, 19.5% had diabetes mellitus, and 82% had the kidney transplanted from a deceased donor. BKV viremia was detected in 32.5% and BKVAN was diagnosed in 8 patients (4%). BKVAN was associated with viremia of 4.1 log copies/ mL, using a commercial kit. The cut-off for the in-house assay was 6.1 log copies/ mL. The linearity between the commercial kit and the in-house assay was R 2 = 0.83. Conclusion: Our study shows that marked variability occurs in BKV viral load when different qPCR methodologies are used. The in-house qPCR assay proved clinically useful, a cheaper option in comparison to commercial qPCR kits. There is an urgent need to make BKV standards available to the international community.

IntRoductIon
BK virus (BKV) is an important infection agent in renal transplant recipients, which has the potential to cause severe graft dysfunction and eventually graft loss . 1 The prevalence of BKV-associated nephropathy (BKVAN) in renal transplant patients ranges between 1-10% in the first year after transplantation, and graft loss may occur in up to 80% of these individuals. [2][3][4] BKV is usually acquired early in life via aerosols mostly resulting in asymptomatic infection. It is estimated that 80-90% of the adult population present antibodies against BKV. 3,7,8 Since no effective antiviral therapy is available to treat BKV infection, the best strategy relies on BKVAN prevention. This may be achieved by frequent monitoring of BKV DNA load in urine and/or plasma samples, followed by a reduction of immunosuppressive therapy whenever significant viral replication is detected. 9 International societies have recommended 4 log of BKV DNA in the plasma as the cut-off value that best predicts BKVAN. However, commercial tests based on quantitative real time polymerase chain reaction (qPCR) may be expensive for routine use in clinical practice and limited data is available on the performance of in-house qPCR BKV tests. Therefore, it is critical for institutions to conduct clinical validation studies to certify that their methods are useful to accurately guide clinical decisions. [10][11][12][13][14][15][16][17] The purpose of this study was to establish a clinically significant cut-off value for BKV viremia to predict BKVAN in a cohort of renal transplant recipients. We also report the performance of an in-house qPCR for quantification of BKV viral load and the performance of this test in comparison to a commercially available qPCR kit.

mAteRIAl And methods
saMples Between April 2012 and May 2013, 200 patients that received a kidney transplant in two large Brazilian university hospitals (Santa Casa de Misericórdia de Porto Alegre and Hospital de Clínicas de Porto Alegre) were enrolled in a prospective study. Plasma samples were obtained at months 3, 6, and 9 following kidney transplantation for the determination of BKV viral load. DNA was extracted from 140 µL of plasma using the QIAamp RNA Mini Kit (QIAGEN, USA). In all reactions, β-globin was added as an internal positive control. dna aMplIfIcatIon wIth a coMMercIal qpcr KIt BKV DNA amplification was performed by qP-CR using a commercial kit (BKV Q-PCR Alert Ampliprobe, ELITechGroup Nanogen, Buttigliera Alta, Italy) in a 7500 thermal cycler qPCR System (Applied Biosystems), as previously described. 18 dna aMplIfIcatIon wIth an In-house BKv qpcr test We designed a qPCR assay based on TaqMan chemistry in a highly conserved region of the BKV genome targeting the VP1 gene (Gene ID: 1489515, . Primers and probes for the human acidic ribosomal protein (HuPO) were purchased from Applied Biosystems (ABI) (primers 5'-GACAATGGCAGCATCTACAAC-3' and 5'-GTTGCCAGTGTCTGTCTGC-3'; probe FAM-ATTGCGGACACCCTCC-NFQ) and were used as an internal control. Briefly, the in-house qPCR assay consisted of 1 µL 20X TaqMan assay, 10 µL of 2X TaqMan® Gene Expression Master Mix, 4 µL of DNA and 5 µL of RNase-free water. PCR amplification was performed on an ABI 7500 Thermocycler as follows: 95°C for 10 min, and 40 cycles of 95°C for 15 sec and 60°C for 1 min. In order to accurately build a calibration curve, we designed a synthetic DNA sequence of 351 bp based on the BK polyomavirus GenBank strain JQ713822.1 sequence. The synthetic DNA was eluted, quantified, and serially diluted for the calibration curves that were built as a panel of nine vials with concentrations ranging from 12.9 to 12.9 × 109 copies/mL. The detection limit of the assay was determined as 12.9 genomic copies/mL.

clInIcal data
Patients' records were reviewed to obtain clinical data and demographic information. Variables of interest included underlying kidney diseases, HLA mismatches, renal biopsy results, and changes in immunosuppressive regimens. Renal biopsies were performed by clinical indication. The glomerular filtration rate (GFR) was estimated using the CKP-EPI equation. 19 The study was approved by the Institutional Review Board (protocol numbers 3531/11, 12-154 and 915/12), and followed the guidelines and regulatory standards for research involving human subjects of the Brazilian National Health Council (Resolution CNS/196).

statIstIcal analysIs
Descriptive statistics were used to summarize the data. The chi-square and Fisher exact tests were used for the evaluation of categorical variables. Data normality was checked by Kolmogorov-Smirnov test. Normally distributed scalar variables were analyzed using ANOVA or Student t-test as appropriate. Nonnormally distributed scalar variables were analyzed as non-parametric using the Mann-Whitney test. The performance of qPCR tests was evaluated by receiver operating characteristic (ROC) curves, using kidney biopsy as the gold standard to diagnose BKVAN. Linear plots were built to test the linearity between the commercial and the in-house BKV qPCR tests. For all comparisons, statistical significance was determined at a p value of < 0.05. Predictors of BKVAN development were determined in a Cox regression model. All variables with clinical relevance and p values of ≤ 0.05 at univariate analysis were included in the Cox regression model. Statistical analyses were performed using SPSS 20.0. Table 1 summarizes the main characteristics of the patients enrolled in the study. Kidney transplant patients who developed BKV infection along the study period were similar in several aspects to those who did not. Panel reactive antibodies (PRA) differed between groups. BKV-positive group had lower percentages of patients with PRA < 10% and between 10-49%. Distribution of HLA mismatches did not differ between groups. Ninety-nine patients underwent a renal biopsy and eight (4.0%) developed BKVAN. Graft loss occurred in seven patients (3.5%) but BKVAN was considered the cause for graft loss in only one patient (14.3%; overall incidence 0.5%). Seven patients died during the study (3.5%).

Results
perforMance of the coMMercIal and the In-house qpcr test BKV viremia was detected in 32.5% (66/200) of patients using the commercial qPCR kit. BKV viremia was detected in months 3, 6 and 9 following transplantation in 16.5% (n = 33), 19.4% (n = 34), and 12.3% (n = 18) of patients, respectively. Plasma BKV viral load was higher in BKVAN when compared to non-BKVAN patients (p < 0.05). Table 2 shows the cut-off values of qPCR for the prediction of BKVAN, both for the commercial qPCR test and the in-house PCR test. There was a linear relationship between qPCR tests (R 2 =0.8389) (Figure 1). Table 3 shows the results of the multivariate analysis for risk factors for BKVAN using the commercial qPCR kit. BKV viremia was independently associated with BKVAN (p = 0.018), with the best cut-off value determined at 3.85 log (7169 copies/mL).

dIscussIon
This study defined clinically significant cut-off values for qPCR for the prediction of BKVAN, using two molecular tests: a commercially-available qP-CR kit and an in-house qPCR test. At nine months post-transplantation, 32.5% of patients were found to have BKV viremia, but only 8 (4%) developed BKVAN. Previous studies performed in Brazil showed higher frequencies of BKVAN in kidney transplant recipient, 20,21 which may be related to differences in screening strategy (e.g., urinary decoy cells to trigger additional urine/plasma sampling for qPCR), in addition to regular biopsies, and ischemia times. The most relevant implication of BKV infection in renal transplant recipients relies on its ability to lead to graft fibrosis, which can be followed by renal dysfunction and eventually lead to graft loss. 13 Therefore, in order to correctly interpret BKV viral loads, institutions should validate their own methodologies to determine the optimum cut-off values instead of using the recommended 'universal' cut-off of 4 log copies/      17,22,23 In this study we demonstrated that BKV viremia can predict the occurrence of BKVAN, and that different cut-offs need to be applied to different qPCR assays (≥3.8 log and ≥6.1 log copies/mL respectively for the commercial and in-house kits). Also, our study demonstrated the relationship between PRA and BKV infection considering patients with PRA <50% of class I and II, although PRA ≥50 presented no association with BKV (Table 1). These data contrast with previous studies, which considered that PRA ≥10% was not associated with BKV infection. 24 In our cohort 11.6% of patients had DSA, however 69% of these patients did not evolved to BKV infection (P ≤ 0.001). Our in-house qPCR test has several strengths: (i) it was based on a highly conserved region of the BKV genome targeting the viral structural protein VP1 gene that is highly conserved midst BKV strains; 25 and (ii) the quantitative process was based on the use of a synthetic DNA sequence as a calibration curve, therefore not requiring the use of commercially available quantified BKV DNA controls. Results obtained with the in-house qPCR test showed linearity with the commercial kit (ELITechGroup Nanogen, Italy), although cut-off values differed by ~2 log copies/ mL. Probably the main advantage of the in-house qPCR relies on its reduced cost, in comparison to the commercial test. For instance, the costs related to run a single sample is USD 35 and USD 121, respectively for the in-house qPCR test and the commercial kit. If three samples were included in a run, reducing the expenses with positive controls, costs per sample would be USD 20 (in-house qPCR) and USD 55 (commercial test).
Some limitations of this study must be recognized. The number of patients with BKVAN was limited even though the frequency of BKVAN in this study parallels with what is found in the literature. 2,3 Also, we only measured BKV viral loads at months 3, 6 and 9 after transplantation and perhaps a longer followup could demonstrate a higher incidence of BKVAN, even though the peak incidence of BKVAN occurs within the time frame of our observation. 26,27 In conclusion, in this prospective multicenter study we validated clinically two qPCR assays for BKV quantification, a commercially available kit and an in-house test. Based on the results, clinicians may better manage patients infected with BKV, modifying immunosuppressive therapies in a timely manner. The low frequency of BKVAN observed in our study (4%) is probably related to proper disease awareness, as well as BKV DNA monitoring.