Abstract
Background
Drug-induced immunosuppression in kidney transplant recipients is crucial to prevent allograft rejection, but increases risk for infectious disease. Immunologic monitoring to tailor immunosuppressive drugs might prevent alloreactivity and adverse effects simultaneously. The apathogenic torque teno virus (TTV) reflects the immunocompetence of its host and might act as a potential candidate for a holistic monitoring.
Methods
We screened all 1010 consecutive patients from the prospective Vienna Kidney Transplant Cohort Study for availability of allograft biopsies and adequately stored sera for TTV quantification by polymerase chain reaction.
Results
Patients with acute biopsy-proven alloreactivity according to the Banff classification (n = 33) showed lower levels of TTV in the peripheral blood compared to patients without rejection (n = 80) at a median of 43 days before the biopsy. The risk for alloreactivity decreased by 10% per log level of TTV copies/mL (risk ratio, .90 [95% confidence interval, .84–.97]; P = .005). TTV levels >1 × 106 copies/mL exclude rejection with a sensitivity of 94%. Multivariable generalized linear modeling suggests an independent association between TTV level and alloreactivity.
Conclusions
TTV is a prospective biomarker for risk stratification of acute biopsy-proven alloreactivity in kidney transplant recipients and might be a potential tool to tailor immunosuppressive drug therapy.
Keywords: immunologic monitoring, kidney transplantation, torque teno virus, rejection
Torque teno virus level in peripheral blood is associated with the immunocompetence of its host. Low levels of torque teno virus after kidney transplantation might mirror insufficient immunosuppression and thus indicate deleterious alloreactivity in patients with acute graft dysfunction.
Immunosuppressive drugs are crucial to prevent allograft rejection after kidney transplantation, but increase risk for infectious disease. Immunologic monitoring relies mainly on the quantification of calcineurin inhibitor drug trough level in the peripheral blood, which correlates more closely with the risk of drug-related toxicity than the immunosuppressive efficacy [1]. Peripheral blood levels of the ubiquitous and apathogenic torque teno virus (TTV) mirror overall strength of the immune system [2] and thus represent a promising new strategy for guidance of immunosuppression to reduce alloreactivity and adverse effects at the same time. We hypothesize that a low level of TTV reflects an insufficient level of immunosuppression and thus precedes alloreactive episodes. The present study was designed to evaluate TTV as a prognostic biomarker for acute biopsy-proven alloreactivity after kidney transplantation.
MATERIALS AND METHODS
Patient Selection
We screened all 1010 consecutive renal allograft recipients from the prospective Vienna Kidney Transplant Cohort Study at the Medical University Vienna, Austria, who were transplanted between 1 January 2012 and 31 December 2017. Inclusion criteria for the current analysis were indication biopsy performed between months 4 and 12 posttransplantation, and adequately stored blood samples for retrospective TTV quantification taken between month 4 posttransplantation and the date of the transplant biopsy. If multiple biopsies per patient were available, we included the latest biopsy. For sensitivity analysis, the first biopsy was included. If >1 blood sample per biopsy was available, the sample taken at the earliest time point posttransplantation was selected. The study was approved by the institutional review board (approval number EK1785/2016).
Quantification of Torque Teno Virus
TTV DNA was quantitated by TaqMan real-time polymerase chain reaction (PCR), as described previously [3, 4].
Transplant Biopsies and Clinical Management
Histomorphology was evaluated on paraffin-embedded sections. The primary outcome, acute biopsy-proven alloreactivity, included antibody-mediated rejection (ABMR), T-cell–mediated rejection (TCMR), and borderline changes suspicious for acute TCMR. Histopathological lesions were classified following the 2009 and 2013 updates of the Banff classification [5, 6]. Clinical management including initial immunosuppression, microbial prophylaxis, and rejection treatment are described in the Supplementary Data.
Statistical Analysis
Detailed statistical analyses are described in the Supplementary Data. The Mann–Whitney U test was used for comparing continuous data, and group comparisons were made using the χ2 test. A generalized linear model was used to estimate the association between alloreactivity and log-TTV levels. Deviation from linearity was assessed using the likelihood ratio test. Excel 2010 (Microsoft), IBM SPSS Statistics 24.0 (SPSS Inc), and Stata 15 (StataCorp) software packages were applied for data analysis.
RESULTS
Patient Characteristics
A total of 113 adult kidney allograft recipients, transplanted between 1 January 2012 and 31 December 2017 at the Vienna transplant unit, were enrolled in the present analysis. Baseline characteristics are displayed in Table 1. Laboratory parameters and immunosuppression at the time of TTV assessment (median of 127 days posttransplantation [interquartile range {IQR}, 105–174 days]) are shown in Table 2. Baseline characteristics of the study cohort were similar compared to the total population of all 1010 screened patients, transplanted consecutively during the same period at our center (Supplementary Table 4).
Table 1.
Characteristic | Study Cohort (n = 113) |
Biopsy-Proven Alloreactivity (n = 33) |
No Rejection (n = 80) |
P Value |
---|---|---|---|---|
Recipient characteristics | ||||
Age, y, median (IQR) | 55 (43–66) | 50 (36–65) | 58 (44–66) | .119 |
Female sex | 50 (44) | 16 (49) | 34 (43) | .678 |
Donor characteristics | ||||
Living donor | 22 (20) | 5 (15) | 17 (21) | .604 |
Donation after circulatory death | 13 (12) | 4 (12) | 9 (11) | > .99 |
Donor age, y, median (IQR) | 58 (50–69) | 55 (45–68) | 59 (51–71) | .097 |
Donor female | 68 (60) | 21 (64) | 47 (59) | .629 |
Transplant characteristics | ||||
Retransplantation | 23 (20) | 13 (39) | 10 (13) | .002 |
ABO-incompatible transplantation | 5 (4) | 0 (0) | 5 (6) | .319 |
HLA-A/B/DR mismatch, median (IQR) | 3 (2–4) | 3 (2–4) | 3 (2–5) | .409 |
Donor-specific antibody | 22 (20) | 12 (36) | 10 (13) | .005 |
CDCXM conversiona | 4 (4) | 3 (9) | 1 (1) | .074 |
Cold ischemia time, h, median (IQR) | 14 (8–18) | 16 (11–19) | 14 (7–18) | .199 |
Delayed graft functionb | 48 (43) | 16 (49) | 32 (40) | .407 |
Data are presented as No. (%) unless otherwise indicated. Mann–Whitney U test was used for comparing continuous data and group comparisons were made using the χ2 test. Exact tests were used where applicable.
Abbreviations: CDCXM, complement-dependent cytotoxicity crossmatch; HLA, human leukocyte antigen; IQR, interquartile range.
aWe allowed for peritransplant CDCXM conversion following a local protocol.
bDelayed graft function was defined by the necessity of >1 renal replacement therapy posttransplantation.
Table 2.
Characteristic | Study Cohort (n = 113) |
Biopsy-Proven Alloreactivity (n = 33) |
No Acute Rejection (n = 80) |
P Value |
---|---|---|---|---|
Laboratory parameter | ||||
eGFR, mL/min/1.73 m2, median (IQR)a | 36 (29–48) | 39 (33–50) | 36 (28–48) | .620 |
Urinary protein:creatinine ratio, median (IQR) | 199 (129–483) | 193 (126–580) | 207 (131–446) | .627 |
Microhematuriab | 36 (36) | 8 (29) | 28 (39) | .334 |
Immunosuppression | ||||
Triple immunosuppression | 105 (93) | 29 (88) | 76 (95) | .232 |
Corticosteroid | 112 (99) | 33 (100) | 79 (99) | .519 |
Prednisolone, mg, median (IQR) | 7.5 (5–10) | 7.5 (5–10) | 5 (5–5) | .420 |
Mycophenolic acid | 96 (85) | 27 (82) | 69 (86) | .570 |
Mycophenolic acid above medianc | 50 (54) | 13 (48) | 37 (57) | .442 |
Tacrolimus | 99 (88) | 26 (84) | 73 (95) | .116 |
Tacrolimus trough level, ng/mL, median (IQR) | 6.9 (5.4–9) | 6.7 (4.8–10) | 6.9 (5.5–9) | .558 |
Belatacept | 5 (4) | 2 (6) | 3 (4) | .628 |
Assessment of primary outcome parameters | ||||
Biopsy, days after transplantation, median (IQR) | 186 (155–258) | 186 (157–264) | 186 (154–259) | .622 |
TTV, days after transplantation, median (IQR) | 127 (105–174) | 121 (107–174) | 140 (103–174) | .877 |
TTV assessment to biopsy, d, median (IQR) | 43 (22–96) | 43 (22–97) | 48 (15–89) | .786 |
Data are presented as No. (%) unless otherwise indicated. The Mann–Whitney U test was used for comparing continuous data and group comparisons were made using the χ2 test. Exact tests were used where applicable.
Abbreviations: eGFR, estimated glomerular filtration rate; IQR, interquartile range; TTV, teno torque virus.
aeGFR was calculated using the Modification of Diet in Renal Disease equation [7]. Data were available from 100 patients.
bMicrohematuria was assessed by dipstick analysis or light microscopy.
cFive hundred forty milligrams for enteric-coated mycophenolic acid and 1500 mg for non-enteric-coated mycophenolic acid. Data were available from 92 of 96 patients.
Kidney Allograft Biopsies
For each of the 113 patients, we included 1 indication kidney allograft biopsy, performed between months 4 and 12 posttransplantation (median, 186 days [IQR, 155–258 days]). Thirty-three (29%) biopsy samples showed significant features of acute alloreactivity (14 ABMR and 19 TCMR or borderline changes suspicious for acute TCMR). All 14 cases with ABMR were active ABMR, 3 were C4d-positive ABMR, and 2 showed mixed rejection, 1 with type I TCMR and 1 with borderline changes. Isolated TCMR and borderline changes were detected in 19 patients, with 1 type I, 3 type II TCMR lesions, and 15 borderline changes suspicious for acute TCMR. The most frequent pathologies described in biopsies without rejection were interstitial fibrosis/tubular atrophy or chronic vascular lesions (n = 46 [58%]; Supplementary Table 2).
Analyzing patient baseline characteristics in the context of biopsy results, transplant recipients with alloreactivity had more frequently preformed donor-specific antibodies (DSA) and were more often recipients of a retransplant (Table 1). Analyzing laboratory parameters and type and amount of immunosuppression at the time of TTV assessment, we did not detect any differences between patients with subsequent biopsy-proven alloreactivity and patients without rejection (Table 2).
Torque Teno Virus Quantification
TTV was retrospectively quantified in the peripheral blood of all 113 patients. Median time between transplantation and blood sampling was 127 days (IQR, 105–174 days) and median TTV level was 6.1 × 107 copies/mL (IQR, 7 × 106–2.3 × 109 copies/mL). Patient baseline characters in the context of TTV levels are displayed in Table 3. Older patients, recipients of an older donor organ, and patients transplanted across a major ABO barrier had higher levels of TTV. Clinical parameters at the time of blood sampling for TTV analysis are shown in Table 4. Patients receiving mycophenolic acid– and tacrolimus-based immunosuppression had higher levels of TTV compared to patients without mycophenolic acid and without tacrolimus, respectively. TTV levels were associated with BK polyomavirus PCR positivity in the peripheral blood (Table 4).
Table 3.
Characteristic | TTV, Copies/mL, Median (IQR) | ||
---|---|---|---|
Variable Positive | Variable Negative | P Value | |
Recipient characteristics | |||
Recipient age >55 ya | 9.3 × 108 (3.2 × 107–3.7 × 109) | 2.8 × 107 (1.8 × 106–3.0 × 108) | < .01 |
Recipient female | 1.0 × 108 (1.7 × 106–3.8 × 109) | 5.4 × 107 (8.5 × 106–1.7 × 109) | .835 |
Donor characteristics | |||
Living donor | 1.2 × 108 (4.8 × 106–4.0 × 109) | 5.8 × 107 (7.0 × 106–2.0 × 109) | .928 |
Donation after circulatory death | 1.5 × 108 (9.3 × 106–3.1 × 109) | 5.9 × 107 (6.9 × 106–2.2 × 109) | .815 |
Donor age >58 ya | 5.0 × 108 (1.5 × 107–4.1 × 109) | 3.2 × 107 (2.8 × 106–1.2 × 109) | .030 |
Donor female | 5.6 × 107 (7.0 × 106–3.0 × 109) | 8.5 × 107 (4.5 × 106–2.2 × 109) | .633 |
Transplant characteristics | |||
Retransplantation | 3.1 × 107 (5.8 × 105–2.8 × 109) | 1.3 × 108 (8.3 × 106–2.8 × 109) | .090 |
ABO-incompatible transplantation | 4.9 × 109 (1.7 × 109–1.5 × 1010) | 5.6 × 107 (6.1 × 106–2.0 × 109) | .036 |
HLA-A/B/DR mismatch >3a | 7.1 × 107 (1.2 × 107–2.1 × 109) | 6.1 × 107 (4.8 × 106–3.0 × 109) | .969 |
Donor-specific antibody | 4.9 × 109 (1.6 × 109–1.4 × 1010) | 5.8 × 107 (6.1 × 105–2.0 × 109) | .438 |
CDCXM conversionb | 4.2 × 107 (8.1 × 106–1.3 × 109) | 8.5 × 107 (6.9 × 106–2.6 × 109) | .482 |
Cold ischemia time >14 ha | 5.6 × 107 (7.2 × 106–2.3 × 109) | 1.2 × 108 (6.3 × 106–2.8 × 109) | .877 |
Delayed graft functionc | 1.4 × 108 (1.2 × 107–2.8 × 109) | 5.7 × 107 (5.8 × 106–2.2 × 109) | .504 |
The Mann–Whitney U test was used for comparing continuous data and group comparisons were made using the χ2 test. Exact tests were used where applicable.
Abbreviations: CDCXM, complement-dependent cytotoxicity crossmatch; HLA, human leukocyte antigen; IQR, interquartile range; TTV torque teno virus.
aCutoff defined by median.
bWe allowed for peritransplant CDCXM conversion following a local protocol.
cDelayed graft function was defined by the necessity of >1 renal replacement therapy posttransplantation.
Table 4.
TTV, Copies/mL, Median (IQR) | |||
---|---|---|---|
Characteristic | Variable Positive | Variable Negative | P Value |
Laboratory parameter | |||
eGFRa,b >37 mL/min/1.73 m2 | 3.3 × 108 (1.0 × 107–2.2 × 109) | 2.5 × 108 (3.2 × 107–3.9 × 109) | .124 |
Urinary protein:creatinine ratiob >198 | 9.8 × 107 (3.1 × 107–5.1 × 109) | 4.5 × 108 (2.2 × 107–5.1 × 109) | .484 |
Microhematuriac | 8.5 × 107 (4.0 × 107–3.8 × 109) | 3.5 × 108 (3.1 × 107–3.4 × 109) | .595 |
Immunosuppression | |||
Triple immunosuppression | 6.1 × 107 (3.2 × 107–3.7 × 109) | 4.1 × 108, d | .945 |
Prednisolone >5 mgb | 6.1 × 107 (3.1 × 107–1.7 × 109) | 2.7 × 109 (1.2 × 108–7.1 × 109) | .758 |
Mycophenolic acid | 1.2 × 108 (3.2 × 107–3.7 × 109) | 1.3 × 107, d | .046 |
Mycophenolic acid above medianb,e | 1.3 × 108 (3.2 × 107–3.0 × 109) | 4.5 × 108 (2.0 × 107–3.9 × 109) | .969 |
Tacrolimus | 1.5 × 108 (3.2 × 107–3.7 × 109) | 1.6 × 107, d | .022 |
Tacrolimus trough level >7 ng/mLb | 1.1 × 109 (4.8 × 107–3.9 × 109) | 1.3 × 108 (6.4 × 106–2.5 × 109) | .712 |
Belatacept | 1.9 × 106, d | 9.9 × 107 (3.2 × 107–3.7 × 109) | .030 |
Virology | |||
BKV PCR positive | 3.1 × 109 (5.1 × 107–1.5 × 1010) | 8.5 × 107 (3.1 × 107–1.7 × 109) | .029 |
CMV PCR positive | 1.3 × 108 (1.7 × 107–2.7 × 109) | 8.6 × 108 (3.2 × 107–3.9 × 109) | .677 |
TTV detection time >127 d after transplantationb | 2.5 × 108 (3.2 × 107–4.9 × 109) | 5.3 × 108 (3.1 × 107–3.7 × 109) | .770 |
The Mann–Whitney U test was used for comparing continuous data. Exact tests were used where applicable.
Abbreviations: BKV, BK polyomavirus; CMV, cytomegalovirus; eGFR, estimated glomerular filtration rate; IQR, interquartile range; PCR, polymerase chain reaction; TTV, torque teno virus.
aeGFR was calculated using the Modification of Diet in Renal Disease equation [7].
bCutoff defined by median.
cMicrohematuria was assessed by dipstick analysis or light microscopy.
dInterquartile range not applicable due to low number of events per group.
eFive hundred forty milligrams for enteric-coated mycophenolic acid and 1500 mg for non-enteric-coated mycophenolic acid.
TTV Quantification in the Context of Biopsy-Proven Alloreactivity
To define the value of TTV for risk stratification of biopsy-proven alloreactivity following kidney transplantation, TTV levels were analyzed in the context of subsequent biopsy findings. Median time between TTV quantification and allograft biopsies was 43 days (IQR, 22–96 days), with no difference according to rejection status (Table 2). There was no difference in timing of TTV assessment with regard to transplantation between patients with and without alloreactivity (Table 2). Patients with subsequent biopsy-proven alloreactivity (n = 33) had lower levels of TTV with a median of 3.1 × 107 copies/mL (IQR, 4.9 × 105–2.3 × 108 copies/mL) compared to patients without rejection (n = 80; 2.3 × 108 copies/mL [IQR, 1.4 × 107–3.6 × 109 copies/mL]) (P = .004; Supplementary Figure 1).
The risk for kidney transplant alloreactivity decreased by 10% per log level of TTV (risk ratio, .90 [95% confidence interval {CI}, .84–.97]; P = .005). A linear dose-response effect between TTV level and biopsy-proven alloreactivity was observed. A sensitivity analysis using results of the earliest biopsy in patients with >1 biopsy (n = 23) showed similar results (risk ratio, .90 [95% CI, .84–.96]; P = .002). Applying the receiver operating curve, an area under the curve of .67 (IQR, .56–.78; P = .005) was calculated to exclude rejection by TTV level (Supplementary Figure 2). A TTV level >1 × 106 copies/mL corresponded to a sensitivity of 94% and a specificity of 27% with 74% correct classification and a positive predictive value of 76% and a negative predictive value of 64%.
The subgroup of patients with borderline changes suspicious for TCMR (n = 15) had lower TTV levels compared to patients without rejection (1.2 × 107 copies/mL [IQR, 2.8 × 105–1.5 × 108 copies/mL]; P = .001; Supplementary Figure 1). Likewise, a trend toward lower TTV levels in patients with ABMR (n = 14) was noted compared to patients without rejection (1.2 × 107 copies/mL [IQR, 3.6 × 105–1.3 × 109 copies/mL]; P = .154; Supplementary Figure 1).
To test whether TTV was independently associated with alloreactivity, we applied a generalized linear model (Supplementary Table 3). Recipient sex, recipient age at transplantation, history of prior transplantation, preformed DSA, ABO-incompatible transplantation, donor age, time between kidney transplantation and TTV assessment, estimated glomerular filtration rate (calculated by the Modification of Diet in Renal Disease formula [7]), tacrolimus trough level, and mycophenolic acid, tacrolimus, and belatacept-based immunosuppression at the time of TTV assessment were not confounding or interacting with the association of TTV levels and biopsy-proven alloreactivity applying univariate models. The final multivariate model including recipient sex, recipient age at transplantation age, preformed DSA, and history of prior transplantation confirmed a robust and independent association of TTV level and alloreactivity after kidney transplantation (Supplementary Table 3).
DISCUSSION
In the present study, we were able to demonstrate a linear and independent association of TTV levels in the peripheral blood of kidney transplant recipients and subsequent biopsy-proven alloreactivity. Patients with alloreactivity showed lower levels of TTV prior to the event compared to patients without rejection. In addition, we provided a clinically useful TTV level cutoff for risk stratification of allograft biopsy results. Most interestingly, TTV quantification could detect patients at risk for alloreactivity >1 month before the histologic diagnosis. Taken together, our data suggest low levels of TTV to reflect a state of insufficient immunosuppression after kidney transplantation leading to an increased risk of alloreactivity. Thus, TTV quantification might be a promising candidate to tailor immunosuppressive drugs after kidney transplantation and to reduce episodes of graft loss due to rejection.
Graft rejection due to insufficient immunosuppression represents the main cause of organ dysfunction following kidney transplantation. Currently, surveillance of immunosuppression is guided mainly via calcineurin inhibitor trough levels, although such measurements might not sufficiently mirror immune function [1]. “Functional” biomarkers, reflecting immunosuppression, have been studied, but until now, none has paved its way into clinical practice [8]. The ideal candidate for guidance of immunosuppression would detect both graft rejection and infectious disease. A test of leukocyte function, the T-SPOT.PRT assay (Oxford Immunotec), was prognostic for infectious events, but not for graft rejection in kidney, liver, and lung transplant recipients [9]. Tailoring of immunosuppression after liver transplantation via functional assay of CD4+ lymphocytes, ImmuKnow (Cylex), in a randomized controlled setting, resulted in fewer infectious events, but had no influence on graft rejection [10].
In this respect, quantification of the ubiquitous and apathogenic TTV might be a promising strategy, as TTV levels have been associated with the global immunocompetence of its host [2]. Peripheral blood levels of TTV might mirror the overall strength of innate and specific immunity including cellular and humoral components of the immune system [11, 12]. Indeed, earlier work of our group analyzing kidney transplant recipients described an association of TTV level with both ABMR and infectious disease [4, 13]. However, this is the first report to demonstrate a prognostic value of TTV in the context of clinically significant biopsy-proven kidney graft alloreactivity. Jaksch and colleagues described lower TTV levels in the sera of lung transplant recipients subsequently developing rejections compared to stable patients in a retrospective study and recently confirmed their findings in a prospective setting [14]. TTV levels >1 × 107 TTV copies/mL were associated with a low risk of subsequent graft rejection. Fernández-Ruiz and colleagues described an association between TTV levels, quantified before transplantation, and subsequent kidney allograft rejection in a prospective setting [15]. However, no analysis on the impact of posttransplant TTV levels was available. Both our present study and the report by Jaksch and colleagues described a high sensitivity and a low specificity of TTV to detect rejection. Therefore, TTV measurement is not sufficient for an accurate diagnosis of graft rejection after solid organ transplantation, but rather defines patients at low risk for rejection. Interventional studies are needed to test whether adaption of immunosuppressive drugs to reach a TTV level >1 × 106 TTV copies/mL will reduce the occurrence of graft rejection after kidney transplantation.
It has been shown that TTV does not reach stable levels until month 3 after solid organ transplantation [13]. Analyses of TTV levels before stabilization do not allow for definition of clinically useful cutoff values. Therefore, we included patients only after month 3, and our findings cannot be translated into the early phase after transplantation. In addition, we restricted TTV measurements to the first year after transplantation. TTV levels experience a slow and constant decline from month 4 to year 3 after transplantation [4]. Therefore, our findings cannot be extrapolated beyond month 12 after transplantation. TTV levels were lower in patients experiencing biopsy-proven alloreactivity of any type, including ABMR, TCMR, and borderline changes suspicious for TCMR, compared to patients without rejection. Comparably low TTV levels were detected in subgroups of patients with borderline changes and patients with ABMR. Of note, differences in TTV levels in patients with ABMR compared to patients without rejection did not reach the predefined level of significance. In this context, it is important to note that earlier studies demonstrated an association between TTV levels and late ABMR in a large cohort of kidney transplant recipients [4]. One might speculate that we missed a true association between TTV levels and ABMR due to limited sample size. Future analyses have to focus on early ABMR as the primary outcome to confirm the hypothesis postulated by our subgroup analysis.
The major strength of the present study is its careful design to minimize selection, observer, and information bias and confounding, even though we are aware of the retrospective and observational nature of the analysis. All available biopsies of an unselected cohort of consecutive transplanted and prospectively followed recipients were included, and baseline variables of the study cohort did not differ substantially compared to the total cohort of patients transplanted at our center during the time selected for screening. Generalized linear modeling excluded possible confounders, and sensitivity analysis demonstrated internal validity. The noninterventional design represents the major limitation of our study. The present data suggest low TTV levels to reflect insufficient immunosuppression and thus indirectly risk for graft rejection, but a causal relationship remains to be proven. A prospective protocol of TTV-guided personalization of immunosuppression is needed to determine whether TTV quantification has any advantage over current monitoring strategies. Second, our analysis was limited to a single European center and a time frame between months 4 and 12 after transplantation. Finally, the C statistic for risk stratification of rejection is limited due to the noninclusion of patients without allograft biopsy and stable graft function, respectively, and the limited sample size.
Taken together, our study provides evidence for the value of TTV quantification for risk stratification of biopsy-proven alloreactivity after kidney transplantation >1 month before clinical diagnosis was made. Moreover, we propose a TTV level cutoff for a prospective protocol to tailor immunosuppressive drugs. Interventional studies will have to prove the superiority of TTV-guided immunosuppression compared to standard of care.
Supplementary Data
Supplementary materials are available at The Journal of Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
Supplementary Material
Notes
Presented in part: German Transplant Congress, Berlin, Germany, 9 November 2018; and Nephro-pharmacological Congress, Vienna, Austria, 1 December 2018.
Acknowledgments. The authors thank Frederik Maria Haupenthal and Florentina Dermuth for excellent support in clinical data management.
Financial support. This work was funded by the Medical Scientific Fund of the Major of the City of Vienna (grant number 17058 to M. S.); the Austrian Science Fund (grant number KLI 604-B31 to G. B.); and the Anniversary Fund of the Österreichische Nationalbank (grant number 17197 to G. B.).
Potential conflicts of interest. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
References
- 1. Andrews LM, Li Y, De Winter BCM, et al. . Pharmacokinetic considerations related to therapeutic drug monitoring of tacrolimus in kidney transplant patients. Expert Opin Drug Metab Toxicol 2017; 13:1225–36. [DOI] [PubMed] [Google Scholar]
- 2. Focosi D, Antonelli G, Pistello M, Maggi F. Torquetenovirus: the human virome from bench to bedside. Clin Microbiol Infect 2016; 22:589–93. [DOI] [PubMed] [Google Scholar]
- 3. Maggi F, Pifferi M, Fornai C, et al. . TT virus in the nasal secretions of children with acute respiratory diseases: relations to viremia and disease severity. J Virol 2003; 77:2418–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Schiemann M, Puchhammer-Stockl E, Eskandary F, et al. . Torque teno virus load-inverse association with antibody-mediated rejection after kidney transplantation. Transplantation 2017; 101:360–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Sis B, Mengel M, Haas M, et al. . Banff ‘09 meeting report: antibody mediated graft deterioration and implementation of Banff working groups. Am J Transplant 2010; 10:464–71. [DOI] [PubMed] [Google Scholar]
- 6. Haas M, Sis B, Racusen LC, et al. . Banff 2013 meeting report: inclusion of c4d-negative antibody-mediated rejection and antibody-associated arterial lesions. Am J Transplant 2014; 14:272–83. [DOI] [PubMed] [Google Scholar]
- 7. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999; 130:461–70. [DOI] [PubMed] [Google Scholar]
- 8. Anglicheau D, Naesens M, Essig M, Gwinner W, Marquet P. Establishing biomarkers in transplant medicine: a critical review of current approaches. Transplantation 2016; 100:2024–38. [DOI] [PubMed] [Google Scholar]
- 9. Mian M, Natori Y, Ferreira V, et al. . Evaluation of a novel global immunity assay to predict infection in organ transplant recipients. Clin Infect Dis 2018; 66:1392–7. [DOI] [PubMed] [Google Scholar]
- 10. Ravaioli M, Neri F, Lazzarotto T, et al. . Immunosuppression modifications based on an immune response assay: results of a randomized, controlled trial. Transplantation 2015; 99:1625–32. [DOI] [PubMed] [Google Scholar]
- 11. Chen T, Vaisanen E, Mattila PS, Hedman K, Soderlund-Venermo M. Antigenic diversity and seroprevalences of torque teno viruses in children and adults by ORF2-based immunoassays. J Gen Virol 2013; 94:409–17. [DOI] [PubMed] [Google Scholar]
- 12. Rocchi J, Ricci V, Albani M, et al. . Torquetenovirus DNA drives proinflammatory cytokines production and secretion by immune cells via Toll-like receptor 9. Virology 2009; 394:235–42. [DOI] [PubMed] [Google Scholar]
- 13. Strassl R, Schiemann M, Doberer K, et al. . Quantification of torque teno virus viremia as a prospective biomarker for infectious disease in kidney allograft recipients. J Infect Dis 2018; 218:1191–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Jaksch P, Michael K, Irene G, et al. . Torque teno virus as a novel biomarker targeting the efficacy of immunosuppression after lung transplantation. J Infect Dis 2018; 218:1922–28. [DOI] [PubMed] [Google Scholar]
- 15. Fernández-Ruiz M, Albert E, Gimenez E, et al. . Monitoring of alphatorquevirus DNA levels for the prediction of immunosuppression-related complications after kidney transplantation. Am J Transplant 2018. doi: 10.1111/ajt.15145. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.