Literature DB >> 30668796

Torque Teno Virus for Risk Stratification of Acute Biopsy-Proven Alloreactivity in Kidney Transplant Recipients.

Robert Strassl1, Konstantin Doberer1, Susanne Rasoul-Rockenschaub2, Harald Herkner3, Irene Görzer4, Johannes Philipp Kläger5, Ralf Schmidt4, Helmuth Haslacher6, Martin Schiemann1, Farsad A Eskandary1, Željko Kikić1, Roman Reindl-Schwaighofer1, Elisabeth Puchhammer-Stöckl4, Georg A Böhmig1, Gregor Bond1.   

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.
© The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America.

Entities:  

Keywords:  immunologic monitoring; kidney transplantation; rejection; torque teno virus

Year:  2019        PMID: 30668796      PMCID: PMC6534191          DOI: 10.1093/infdis/jiz039

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


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.

Baseline Characteristics of the Study Cohort and Stratified According to Kidney Allograft Biopsy Results

CharacteristicStudy 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 sex50 (44)16 (49)34 (43).678
Donor characteristics
 Living donor22 (20)5 (15)17 (21).604
 Donation after circulatory death13 (12)4 (12)9 (11)> .99
 Donor age, y, median (IQR)58 (50–69)55 (45–68)59 (51–71).097
 Donor female68 (60)21 (64)47 (59).629
Transplant characteristics
 Retransplantation23 (20)13 (39)10 (13).002
 ABO-incompatible transplantation5 (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 antibody22 (20)12 (36)10 (13).005
 CDCXM conversiona4 (4)3 (9)1 (1).074
 Cold ischemia time, h, median (IQR)14 (8–18)16 (11–19)14 (7–18).199
 Delayed graft functionb48 (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.

Clinical Characteristics at the Time of Torque Teno Virus Assessment for the Study Cohort and Stratified According to Kidney Allograft Biopsy Results

CharacteristicStudy 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)a36 (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
 Microhematuriab36 (36)8 (29)28 (39).334
Immunosuppression
 Triple immunosuppression105 (93)29 (88)76 (95).232
 Corticosteroid112 (99)33 (100)79 (99).519
 Prednisolone, mg, median (IQR)7.5 (5–10)7.5 (5–10)5 (5–5).420
 Mycophenolic acid96 (85)27 (82)69 (86).570
 Mycophenolic acid above medianc50 (54)13 (48)37 (57).442
 Tacrolimus99 (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
 Belatacept5 (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.

Baseline Characteristics of the Study Cohort and Stratified According to Kidney Allograft Biopsy Results 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. Clinical Characteristics at the Time of Torque Teno Virus Assessment for the Study Cohort and Stratified According to Kidney Allograft Biopsy Results 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.

Torque Teno Virus Level Stratified According to Baseline Characteristics of the Study Cohort

CharacteristicTTV, Copies/mL, Median (IQR)
Variable PositiveVariable Negative P Value
Recipient characteristics
 Recipient age >55 ya9.3 × 108 (3.2 × 107–3.7 × 109)2.8 × 107 (1.8 × 106–3.0 × 108)< .01
 Recipient female1.0 × 108 (1.7 × 106–3.8 × 109)5.4 × 107 (8.5 × 106–1.7 × 109).835
Donor characteristics
 Living donor1.2 × 108 (4.8 × 106–4.0 × 109)5.8 × 107 (7.0 × 106–2.0 × 109).928
 Donation after circulatory death1.5 × 108 (9.3 × 106–3.1 × 109)5.9 × 107 (6.9 × 106–2.2 × 109).815
 Donor age >58 ya5.0 × 108 (1.5 × 107–4.1 × 109)3.2 × 107 (2.8 × 106–1.2 × 109).030
 Donor female5.6 × 107 (7.0 × 106–3.0 × 109)8.5 × 107 (4.5 × 106–2.2 × 109).633
Transplant characteristics
 Retransplantation3.1 × 107 (5.8 × 105–2.8 × 109)1.3 × 108 (8.3 × 106–2.8 × 109).090
 ABO-incompatible transplantation4.9 × 109 (1.7 × 109–1.5 × 1010)5.6 × 107 (6.1 × 106–2.0 × 109).036
 HLA-A/B/DR mismatch >3a7.1 × 107 (1.2 × 107–2.1 × 109)6.1 × 107 (4.8 × 106–3.0 × 109).969
 Donor-specific antibody4.9 × 109 (1.6 × 109–1.4 × 1010)5.8 × 107 (6.1 × 105–2.0 × 109).438
 CDCXM conversionb4.2 × 107 (8.1 × 106–1.3 × 109)8.5 × 107 (6.9 × 106–2.6 × 109).482
 Cold ischemia time >14 ha5.6 × 107 (7.2 × 106–2.3 × 109)1.2 × 108 (6.3 × 106–2.8 × 109).877
 Delayed graft functionc1.4 × 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.

Torque Teno Virus (TTV) Levels Stratified According to Clinical Characteristics of the Study Cohort at the Time of TTV Assessment

TTV, Copies/mL, Median (IQR)
CharacteristicVariable PositiveVariable Negative P Value
Laboratory parameter
 eGFRa,b >37 mL/min/1.73 m23.3 × 108 (1.0 × 107–2.2 × 109)2.5 × 108 (3.2 × 107–3.9 × 109).124
 Urinary protein:creatinine ratiob >1989.8 × 107 (3.1 × 107–5.1 × 109)4.5 × 108 (2.2 × 107–5.1 × 109).484
 Microhematuriac8.5 × 107 (4.0 × 107–3.8 × 109)3.5 × 108 (3.1 × 107–3.4 × 109).595
Immunosuppression
 Triple immunosuppression6.1 × 107 (3.2 × 107–3.7 × 109)4.1 × 108, d.945
 Prednisolone >5 mgb6.1 × 107 (3.1 × 107–1.7 × 109)2.7 × 109 (1.2 × 108–7.1 × 109).758
 Mycophenolic acid1.2 × 108 (3.2 × 107–3.7 × 109)1.3 × 107, d.046
 Mycophenolic acid above medianb,e1.3 × 108 (3.2 × 107–3.0 × 109)4.5 × 108 (2.0 × 107–3.9 × 109).969
 Tacrolimus1.5 × 108 (3.2 × 107–3.7 × 109)1.6 × 107, d.022
 Tacrolimus trough level >7 ng/mLb1.1 × 109 (4.8 × 107–3.9 × 109)1.3 × 108 (6.4 × 106–2.5 × 109).712
 Belatacept1.9 × 106, d9.9 × 107 (3.2 × 107–3.7 × 109).030
Virology
 BKV PCR positive3.1 × 109 (5.1 × 107–1.5 × 1010)8.5 × 107 (3.1 × 107–1.7 × 109).029
 CMV PCR positive1.3 × 108 (1.7 × 107–2.7 × 109)8.6 × 108 (3.2 × 107–3.9 × 109).677
 TTV detection time >127 d after transplantationb2.5 × 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.

Torque Teno Virus Level Stratified According to Baseline Characteristics of the Study Cohort 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. Torque Teno Virus (TTV) Levels Stratified According to Clinical Characteristics of the Study Cohort at the Time of TTV Assessment 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. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
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Authors:  Amandine Pradier; Stavroula Masouridi-Levrat; Carine Bosshard; Carole Dantin; Diem-Lan Vu; Marie-Céline Zanella; Elsa Boely; Caroline Tapparel; Laurent Kaiser; Yves Chalandon; Federico Simonetta; Eddy Roosnek
Journal:  Front Immunol       Date:  2020-05-27       Impact factor: 7.561

8.  Torque teno viral load reflects immunosuppression in paediatric kidney-transplanted patients-a pilot study.

Authors:  Phoebe Uhl; Andreas Heilos; Gregor Bond; Elias Meyer; Michael Böhm; Elisabeth Puchhammer-Stöckl; Klaus Arbeiter; Thomas Müller-Sacherer; Dagmar Csaicsich; Christoph Aufricht; Krisztina Rusai
Journal:  Pediatr Nephrol       Date:  2020-06-10       Impact factor: 3.714

Review 9.  Novel ways to monitor immunosuppression in pediatric kidney transplant recipients-underlying concepts and emerging data.

Authors:  Thurid Ahlenstiel-Grunow; Lars Pape
Journal:  Mol Cell Pediatr       Date:  2021-07-26
  9 in total

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