Influence of tacrolimus metabolism rate on BKV infection after kidney transplantation.

Immunosuppression is the major risk factor for BK virus nephropathy (BKVN) after renal transplantation (RTx). As the individual tacrolimus (Tac) metabolism rate correlates with Tac side effects, we hypothesized that Tac metabolism might also influence the BKV infection risk. In this case-control study RTx patients with BK viremia within 4 years after RTx (BKV group) were compared with a BKV negative control group. The Tac metabolism rate expressed as the blood concentration normalized by the daily dose (C/D ratio) was applied to assess the Tac metabolism rate. BK viremia was detected in 86 patients after a median time of 6 (0-36) months after RTx. BKV positive patients showed lower Tac C/D ratios at 1, 3 and 6 months after RTx and were classified as fast Tac metabolizers. 8 of 86 patients with BK viremia had histologically proven BKN and a higher median maximum viral load than BKV patients without BKN (441,000 vs. 18,572 copies/mL). We conclude from our data that fast Tac metabolism (C/D ratio <1.05) is associated with BK viremia after RTx. Calculation of the Tac C/D ratio early after RTx, may assist transplant clinicians to identify patients at risk and to choose the optimal immunosuppressive regimen.

While rates of acute rejection (AR) have declined during the last decades due to more effective immunosuppressive regimens1, BK virus (BKV) infection has become an emerging problem after renal transplantation (RTx)2. BK viremia occurs in 10–15% 345 with an increasing incidence of BKV-associated nephropathy (BKN) in more than 6% of patients by 5 years after transplantation2. Graft loss due to BKN has been reported in 10–80% of cases67. If BKV infection is associated with higher rates of acute rejection is still a matter of debate368.

Several risk factors for BKV infection including patient’s characteristics, quality of the allograft and archetype strain of the virus have been discussed69. Especially, modifiable risk factors of BKN such as intensity or type of immunosuppression are of interest to transplant physicians2410. Immunosuppressive regimens including tacrolimus (Tac) have been shown to be associated with higher rates of BKV infections211. The individual Tac metabolism rate can be estimated by blood concentration (C) normalized by the dose (D) and has been shown to be related to side effects of the drug. We recently showed that fast Tac metabolizers (low C/D ratio) had a reduced renal function 24 months after RTx and 36 months after LTx, respectively1213. This finding might be explained by higher Tac peak levels early after drug intake leading to a higher drug exposure (area under the curve) for these patients. The aim of this study was to analyze whether fast Tac metabolism is also a risk factor for BKV infection.

Patients and Methods

Study enrollment and detection of BKV and BKN

In this case-control study, 707 patients that underwent RTx from January 2005 until December 2011 were screened for BK viremia. Screening was performed monthly during the first 6 months after RTx, every second month during months 6–12, and on indication. Peripheral EDTA-blood was collected from each patient to assess BKV DNA by nested polymerase chain reaction (GeneProof BK Virus (BKV) PCR Kit, GeneProof a.s., Brno, Czech Republic). Any positive BKV PCR was considered as BKV infection. Patients with a viral load of ≥7,000 copies/mL3 or a relevant rise in creatinine (≥0.3 mg/dL) were subjected to kidney biopsy to distinguish BKN from other causes of graft failure. Biopsies were evaluated by one pathologist and BKN was diagnosed if interstitial nephritis and positive staining for SV40 antigen were present.

Of 95 patients who developed BKV infection after RTx, 9 patients deceased during the four year follow-up period and were excluded from the analysis. 86 BKV negative patients that underwent RTx during the same time period were randomly chosen as controls.

Immunosuppression consisted of a calcineurin inhibitor (CNI) like Tac twice daily (Prograf), Tac extended release formulation (Advagraf) or cyclosporine A (Sandimmun) respectively, MMF (CellCept) and prednisolone (Soludecortin H). Induction therapy with basiliximab (Simulect) was administered at day 0 and 4 after RTx.

Recipient and donor data were taken from the patient’s files. Transplant specific characteristics as HLA MM (human leukocyte antigen mismatches), panel reactive antibodies (PRA), attendance in the European Senior Program (ESP), blood type, living donor transplantations, number of prior RTx, cold and warm ischemia times, cytomegalovirus (CMV) status before transplantation, CMV infections (considered relevant >1.000 copies/mL) were documented.

Prior to analysis, data of all patients were anonymized and de-identified. The local ethics committee (Ethik Kommission der Ärtzekammer Westfalen-Lippe und der Medizinischen Fakultät der Westfälischen Wilhelms-Universität, No. 2014-381-f-N) approved the study. Methods in this study were carried out in accordance with the current transplantation guidelines and the Declarations of Istanbul and Helsinki. Written informed consent was given by all participants at the time of transplantation for recording their clinical data.

Tacrolimus metabolism rate

Tac metabolism rates were calculated at month 1, 3 and 6 after RTx by dividing the Tac blood trough concentration (C) by the corresponding daily Tac dose (D) as previously published12:

As defined previously, patients with a Tac C/D ratio <1.05 ng/mL*1/mg were characterized as fast metabolizers12. Patients with a C/D ratio of 1.05–1.54 ng/mL*1/mg or a C/D ratio ≥1.55 ng/mL*1/mg were defined as intermediate metabolizers and slow metabolizers, respectively. For reason of simplification, intermediate and slow metabolizers were summarized as slower metabolizers in this study.

Clinical chemistry

Whole blood was analyzed for creatinine (enzymatic assay; Creatinine-Pap, Roche Diagnostics, Mannheim, Germany) and renal function was determined by eGFR calculation using the 4-variabel modification of diet in renal disease (MDRD) study at time of first BKV DNA detection and 12 months thereafter.

Statistical analyses

Statistical analyses were performed using IBM SPSS® Statistics 22 for Windows (IBM Corporation, Somers, NY, USA) and SAS software, version 9.4 of the SAS System for Windows (SAS Institute, Cary, NC, USA). Inferential statistics were intended to be exploratory, not confirmatory. P-values represent a metric measure of evidence against the respective null hypothesis and were used only to generate new hypotheses. Therefore, neither global nor local significance levels were determined, and no adjustment for multiplicity was applied. P-values ≤ 0.05 were considered as statistically noticeable.

Standard univariate statistical analyses were applied. Categorical variables are shown as absolute and relative frequencies. Fisher’s exact tests were used to quantify the evidence between categorical variables. Normal-distributed continuous variables are shown as mean ± standard deviation and not normal-distributed continuous variables as median [minimum – maximum]. Groups were compared using Student’s t-test for normally distributed data, Mann–Whitney U tests for non-normal data and Fisher’s exact tests for categorical variables. Multivariable logistic regression analysis was conducted for selected variables as age at RTx (years), CMV risk status and log-transformed Tac C/D ratio (1 month after RTx) to estimate the influence on the development of BKV infection within 4 years after RTx and to adjust for confounders. Results are presented as odds ratios (OR) and corresponding 95% confidence intervals (95% CI). Time until switch from initial Tac immunosuppression and corresponding event probabilities were estimated using Kaplan-Meier method.

Results

Study population

BKV DNA was detected in 95 RTx recipients. Due to the death of 9 BKV positive patients during the four year follow-up, 86 patients were included as cases in this study (BKV group) and compared to 86 BKV negative control patients. Although mean age was 3 years higher in the BKV group, univariate analysis did not show a noticeable difference (53.4 ± 13.2 vs. 50.4 ± 14.6 years; P = 0.172; Table 1). The logistic regression analysis also did not show an influence of patient’s age on BKV risk in this study (P = 0.067, Table 2). There was no difference in patients’ gender between both groups (P = 0.873).

Table 1

Patient’s characteristics.

	Control (n = 86)	BKV (n = 86)	P value
Age (years)	50.4 ± 14.6	53.4 ± 13.2	0.172a
Gender (male/female)	57 (66.3%)/29 (33.7%)	55 (64.0%)/31 (36.0%)	0.873b
Height (m)	1.72 ± 0.10	1.74 ± 0.09	0.248a
Weight (kg)	75.8 ± 13.8	74.7 ± 13.0	0.607a
BMI (kg/m2)	25.6 ± 4.4	24.6 ± 3.4	0.125a
Number of transplantation			0.949b
one	67 (77.9%)	69 (80.2%)
two	15 (17.4%)	15 (17.4%)
three	3	2
four	1	−
Living donor transplantation	19 (22.1%)	11 (12.8%)	0.159b
ESP	17 (19.8%)	23 (26.7%)	0.367b
ABOi	1	1	−
CIT (h)	9.2 ± 5.1	10.0 ± 5.4	0.315a
donor data
donor age (years)	54.1 ± 13.0	53.8 ± 16.5	0.882a
donor gender (male/female)	38 (44.2%)/48 (55.8%)	39 (45.3%)/47 (54.7%)	1.0b
PRA (>20%)	5 (5.8%)	3 (3.5%)	0.720b
HLA MM			0.862b
no HLA MM	2	1
1–3 HLA MM	36 (41.9%)	38 (51.4%)
4–6 HLA MM	48 (55.8%)	46 (48.9%)
CMV risk status			0.001b
CMV high risk	8 (9.3%)	26 (30.2%)
CMV intermediate risk	73 (84.9%)	52 (60.5%)
CMV low risk	5 (5.8%)	8 (9.3%)
CMV infection	14 (16.3%)	14 (16.3%)	1.0b
CMV disease	10 (11.6%)	10 (11.6%)	1.0b
CMV before BKV infection	−	7/14 (50.0%)	−

Variables are reported as absolute and relative frequencies or mean ± standard deviation.

at test for independent groups.

bFisher’s exact test; Abbreviations: BMI, body mass index; ESP, European Senior Program; ABOi, ABO incompatible transplantation; CIT, cold ischemia time; PRA, panel reactive antibodies; HLA MM, human leucocyte antigen mismatch; CMV, cytomegalovirus; RTx, renal transplantation.

Table 2

Risk factors for BKV infection (multivariable analysis).

	Odds Ratio	95% Wald Confidence Limits (Wald test)		P value
Age (x vs. x-1 years)	1.03	0.99	1.05	0.067
log Tac C/D ratio 1 month (x vs. x-1 units)	0.37	0.20	0.71	0.003
CMV risk				0.002
high vs. low risk	2.43	0.48	12.43	0.285
intermediate vs. low risk	0.40	0.10	1.64	0.205
high vs. intermediate risk	6.03	2.17	16.78	0.001

Results of the logistic regression of potential risk factors for BKV infection within 4 years after RTx. Tac C/D ratio 1 month after RTx was log-transformed (natural logarithmic) to achieve equal intervals between C/D ratio units. Due to missing covariate values, 145 patients (71 BKV/74 controls) were entered in the analysis. Abbreviation: CMV, cytomegalovirus.

In the BKV group more patients had a CMV high risk status (D+/R-) than in the control group (30.2% vs. 9.3%, P = 0.001, Fisher’s exact test, Table 1) and multivariable logistic regression analysis confirmed CMV high risk status to be a risk factor for BKV infection compared to a CMV intermediate risk status (P = 0.001, OR 6.03, 95% CI 2.17, 16.78, Table 2). Numbers of CMV infections and CMV diseases were similar in both groups (16.3% vs. 16.3% and 11.6% vs. 11.6% respectively). Half of CMV infections in the BKV group (7/14) had occurred before BKV detection (Table 1).

Drug doses and blood levels

Table 3 shows patient’s drug doses and blood levels. Tac twice daily was initially administered in 75 of 86 (87.2%) patients in the BKV group and in 79 of 86 (91.9%) patients in the control group. Daily Tac doses were not different in both groups at 1, 3, and 6 months (P = 0.064; P = 0.135; P = 0.082, respectively) while Tac mean trough levels were about 1 ng/mL higher in the control group compared to the BKV group at 1, 3 and 6 months (P = 0.017; P = 0.149; P = 0.012, respectively). In the BKV group, the Tac C/D ratio was noticeably lower for all time points examined (P = 0.002; P = 0.017; P = 0.001, respectively). Figure 1 shows the distribution of the C/D ratio and the log-transformed values 1 month after RTx in both groups. Accordingly, multivariable logistic regression identified a low Tac C/D ratio (fast Tac metabolism) 1 month after RTx to be associated with BKV infection. Per unit increase of the log-transformed Tac C/D ratio, the odds decrease by OR 0.37 (95% CI 0.20, 0.71). Furthermore, the BKV group encountered noticeably more fast Tac metabolizers (C/D ratio <1.05 ng/mL*1/mg) at month 1 (Table 3; P = 0.002). Since prednisolone is known to influence Tac metabolism14, prednisolone doses were collected 1, 3 and 6 months after RTx. Median prednisolone doses were similar in both groups at all time points, although due to a greater range, a noticeable higher prednisolone dose was found 3 months after RTx in the BKV group (P = 0.018; Table 3).

Table 3

Drug doses and blood levels.

	Control	BKV	P value
Tac mean trough level (ng/ml)
after 1 month (n = 75/71)	11.1 ± 3.8	9.9 ± 3.6	0.017a
after 3 months (n = 70/67)	9.6 ± 3.0	8.7 ± 2.6	0.149a
after 6 months (n = 67/62)	8.3 ± 2.7	7.2 ± 2.1	0.012a
at BKV pos (n = 66)	−	8.9 ± 3.4	−
Tac mean daily dose (mg)
after 1 month (n = 74/71)	9.0 (3–22)	11.0 (2–20)	0.064b
after 3 months (n = 69/67)	6 (1.5–22)	7 (2–20)	0.135b
after 6 months (n = 66/62)	4.5 (0.5–21)	5 (2–20)	0.082b
at BKV pos (n = 42)	−	7 (2–16)	−
Tac C/D ratio
after 1 month (n = 74/71)	1.15 (0.28–5.05)	0.85 (0.30–8.75)	0.002b
after 3 months (n = 67/67)	1.58 (0.35–9.93)	1.16 (0.31–5.35)	0.017b
after 6 months (n = 66/62)	1.76 (0.43–7.20)	1.30 (0.44–4.20)	0.001b
at BKV pos (n = 37)	−	1.34 (0.33–3.95)	−
log Tac C/D ratio
after 1 month (n = 74/71)	0.14 (−1.27–1.62)	−0.17 (−1.20–2.17)	0.002b
after 3 months (n = 69/67)	0.45 (−1.04–2.30)	0.15 (−1.18–1.68)	0.017b
after 6 months (n = 66/62)	0.56 (−0.85–1.97)	0.26 (−0.83–1.44)	0.001b
at BKV pos (n = 37)		0.29 (−1.11–1.37)	−
Tac metabolism groups
after 1 month slow metab. (n = 69)	45 (61%)	24 (34%)	0.002c
fast metab. (n = 76)	29 (39%)	47 (66%)
after 3 months slow metab. (n = 90)	51 (74%)	39 (58%)	0.070c
fast metab. (n = 46)	18 (26%)	28 (42%)
after 6 months slow metab. (n = 93)	53 (80%)	40 (65%)	0.050c
fast metab. (n = 35)	13 (20%)	22 (35%)
prednisolone daily dose (mg)
after 1 month (n = 82/85)	20 (5–30)	20 (7.5–30)	0.089b
after 3 months (n = 81/85)	10 (5–20)	10 (5–50)	0.018b
after 6 months (n = 82/85)	5 (2.5–20)	5 (2.5–40)	0.058b
at BKV pos (n = 50)	−	10 (2.5–50)	−

For Tac dose and trough level calculation, only Tac twice daily was included. Results are reported as absolute and relative frequencies, mean ± standard deviation or median (minimum-maximum).

Abbreviations: BKV, BK virus; Tac, tacrolimus; C/D ratio, concentration/dose ratio; IS, immunosuppression.

at test for independent groups.

bMann Whitney U test.

cFisher’s exact test; fast metabolism was defined as Tac C/D ratio <1.05, slow mebabolism was defined as Tac C/D ratio ≥1.05.

Figure 1

Boxplots of the Tac C/D ratio 1 month after renal transplantation (RTx).

(A) The BKV group shows a noticeably lower C/D ratio compared to the control (0.85 (0.30–8.75) vs. 1.15 (0.28–5.05) ng/mL*1/mg; P = 0.002. (B) The Tac C/D ratio 1 month after RTx was log-transformed (natural logarithmic) to achieve equal intervals between C/D ratio units (−0.17 (−1.20–2.17) BVK group vs. 0.14 (−1.27–1.62) control group; P = 0.002). Symbol X marks the mean.

BK viremia and BKN

BKV infection was detected after a median time of 6 (0–36 months; Table 4). The median initial BK viral load was 5,540 (91–8,600,000) copies/mL and maximum viral load was 25,446 (91–196,000,000) copies/mL. Patients experiencing BKN showed higher initial and maximum viral loads (Table 4). MMF was stopped in nearly half of the patients (44/86) after BKV detection and was reduced in all other patients. Patients with BKN were predominantly fast metabolizers with a median Tac C/D ratio of 0.78 ng/mL*1/mg.

Table 4

Data on BKV and BKN.

BKV group (n = 86)
BK viremia >7.000	46 (53.5%)
time from RTx until BKV pos (months)	6 (0–36)
initial BK viral load of BKV patients without BKN	4,334 (91–2,700,000)
maximum BK viral load of BKV patients without BKN	18,572 (91–3,100,000)
initial BK viral load of all BKV patients	5,540 (91–8,600,000)
maximum BK viral load of all BKV patients	25,446 (91–196,000,000)
patients on Tac prolonged release (Advagraf)	7
patients on MMF at BKV	44
MMF dose at initial BKV infection	1000 (500-2000)
Data of BKV patients with BKN (n = 8)
Tac mean trough level (ng/ml) at time of BKN (n = 7)	7.8 ± 2.6
Tac mean daily dose (mg) at time of BKN (n = 7)	9.0 (3.0–15.0)
Tac C/D ratio (ng/mL*1/mg) at time of BKN (n = 7)	0.78 (0.33–2.47)
log Tac C/D ratio (log(ng/mL*1/mg)) at time of BKN (n = 7)	−0.24 (−1.12–0.90)
prednisolone mean daily dose (mg) at time of BKN (n = 6)	10 (5–20)
initial BK viral load (n = 7)	37,627 (850–8,600,000)
maximum BK viral load (n = 7)	441,700 (41,144–196,000,000)

Results are reported as absolute and relative frequencies, mean ± standard deviation or median (minimum-maximum). Abbreviations: BKV, BK virus; BKN, BK virus-associated nephropathy; viral load stated in copies/mL; Tac, tacrolimus; MMF, mycopheonolate mofetil.

Renal function

Renal function (eGFR) at the time of initial BKV DNA detection and 12 months thereafter did not differ between the two groups (36.9 ± 13.1 vs. 36.3 ± 13.4 mL/min/1.73 m2). Patients with BKN, however, showed a slightly reduced eGFR 12 months after initial BKV detection when compared to controls (34.1 ± 15.4 vs. 31.8 ± 15.5 mL/min/1.73 m2).

Adverse events

Table 5 shows adverse events that occurred during the observational period. Rates of transplant loss were equal in both groups. Immunosuppression was switched from Tac twice daily to other regimens more often in the BKV group. The main cause for Tac withdrawal was BKV infection (Fig. 2).

Table 5

Adverse events and switch of immunosuppression.

	Control (n = 86)	BKV (n = 86)
Loss of function	4	4
Acute rejection	1	3
HUS recurrence	1	−
BKN and acute rejection	−	1
Chronic transplantat nephropathy	2	−
Switch from Tac to other IS	22/79	37/75
Everolimus	7	13
Tacrolimus extended release (Advagraf)	3	1
Cyclosporin A	6	20
Sirolimus	6	2
Tac termination without replacement	−	1
Cause of switch from Tac
BKV infection	−	20
Malignoma	4	1
Alopecia	−	−
Tac blood level fluctuations	1	1
Bacterial infection	2	−
CMV infection	−	1
CNI nephrotoxicity	6	6
Diabetes mellitus	6	5
Incompliance	1	−
Neurotoxicity	1	3
HUS	1	−

Frequencies of adverse events and switch from Tac during the 4 year follow-up. Abbreviations: BKV, BK virus; Tac, tacrolimus twice daily; IS, immunosuppression; HUS, hemolytic uremic syndrome; BKN, BKV-associated nephropathy.

Figure 2

Kaplan-Meier plot of time until switch from Tac.

Percentage of patients without switch from Tac are shown on the y-axis. All patients reached a 4 year follow-up and patients without switch were censored at four years. In the control group, 27.8% (22/79) of patients were switched from Tac to another immunosuppressive drug compared to 49% (37/75) in the BKV group. The main cause of switch from Tac during the first year after renal transplantation was BKV infection (Table 5). Abbreviations: KM Est, Kaplan-Meier estimator; RTx, renal transplantation.

Discussion

In the present case-control study 86 patients who developed BKV infection within four years after RTx were compared to 86 BKV negative controls. BKV infection was associated with a fast Tac metabolism at 1 month after RTx. Furthermore, CMV high risk constellation (D+/R−) was identified as a risk factor for BKV infection.

BKV infection has become an important issue after RTx and several attempts to identify risk factors predisposing for posttransplant BKV infection have been made during the last years. Various parameters like immunosuppression, recipient characteristics, graft quality and virus specific features have been discussed to have an influence on the development of BKV infection.

The role of immunosuppression for the development of BK viremia is still not clear and data is limited. Dadhania et al. suggested steroid maintenance to be an independent risk factor for BKV replication10. Montero et al. summarized data of one randomized controlled trial and 13 cohort studies on pancreas and pancreas plus kidney transplant patients and concluded that steroid-sparing and withdrawal strategies reduced the risk of BKV infection15. In our cohort, both groups showed similar prednisolone doses 1 month after RTx. However, at 3 months after RTx, prednisolone doses were higher in the BKV group suggesting that higher prednisolone doses might be associated with an increased risk of BKV infection. This is in line with data by Hirsch et al. who reported that BK viremia 6 months after transplantation was independently associated with higher steroid exposure in the first three posttransplant months11.

Increased BKV infections in patients receiving a Tac-based immunosuppressive therapy were ascribed to the stronger immunosuppressive potency of Tac compared to other immunosuppressive drugs such as mammalian target of rapamycin inhibitor (mTORi) or cyclosporine A, or different BKV-promoting or –inhibiting features in the mode of action of the respective drug11. E.g. Tac was shown to directly stimulate BKV replication via FKBP-12 binding16. However, in our study, Tac mean daily doses did not differ between the groups and Tac mean trough levels were about 1 ng/mL higher in the control group compared to the BKV group.

Therefore, we hypothesized that a fast Tac metabolism rate (C/D ratio) might be a risk factor for BKV infection. Recently, we showed that a fast Tac metabolism with a C/D ratio <1.05 ng/mL*1/mg was associated with a decreased renal function 24 months after RTx12. Study data suggested that a low C/D ratio is an independent risk factor for development of CNI nephrotoxicity or BKN. However, number of patients with BKN in that study was low. Therefore, we addressed this question in a larger cohort.

In the BKV group, most patients were identified as fast Tac metabolizers with a median Tac C/D ratio of 0.85 ng/mL*1/mg at 1 month after RTx. Logistic regression estimates verified that the C/D ratio 1 month after RTx is associated with BKV infection. Patients with histologically proven BKN were also identified to be fast Tac metabolizers with a median C/D ratio of 0.78 ng/mL*1/mg. Fast metabolizers might be exposed to over immunosuppression, toxicity or stimulation of BKV replication due to elevated Tac peak levels early after drug intake. In line with these observations, Barraclough et al. showed that median dose-adjusted exposure to tacrolimus was significantly higher in individuals carrying the NR1I2 8055T variant allele which encodes for a nuclear receptor that is involved in the detoxification and clearance of drugs, e.g. Tac, by acceleration of CYP3A metabolism. Patients carrying this allele are fast metabolizers with significantly higher odds of BK viremia17.

Patients in the BKV group were on average 3 years older compared to the control group and advanced age has been found to be a risk factor for BKV infection in former studies2111819. This is of note because younger age is associated with faster Tac metabolism20. Other risk factors for BKV infection like male gender219, Caucasian race221 and diabetes mellitus21 which have been reported could not be confirmed in our study.

A BK viral load >185,000 copies/mL at time of diagnosis was recently shown to be predictive for BKN22. In our study, patients with BKN had an initial median BK viral load of 37,627 copies/mL and a median maximum viral load of 441,700 copies/mL. BKV copies in BKN patients were markedly higher compared to the BKV patients without BKN (median initial viral load 4,334 and maximum viral load 18,572 copies/mL) suggesting that BKN is preceded by high-level BK viremia.

We herein found CMV status to be a risk factor for BKV infection. However, only 16.3% of patients in the BKV group experienced CMV infection. Of these, 50% of patients had CMV infection before BK viremia. Especially, the number of CMV high risk patients (D+/R−) was considerably higher in the BKV group. There are contradictory data on the association between CMV and BKV infection. Schachtner et al. reported CMV reactivation to be a risk factor for BKV replication23. In contrast, Elfadawy et al. suggested an indirect protective effect of CMV viremia against subsequent BK viremia24. In their prospective study CMV viremia was associated with a decreased incidence of BKV reactivation after kidney and kidney-pancreas transplantation, a finding which might be explained by the reduction of immunosuppression.

Due to rapid reduction of immunosuppressive therapy in BKV positive patients, renal function was not noticeably affected in the BKV group and in patients with histologically proven BKN after a 12 months follow-up. These data are in line with a prospective study by Schaub et al.25, in which renal function of patients with BK viremia, presumptive or definitive BKN was analyzed. Only patients with definitive BKN showed a temporary rise in creatinine after a median follow-up of 4 months after RTx and in all of them renal function completely recovered after 34 months25. However, in an OPTN analysis of national registry data, BKV treatment report was associated with a higher risk of subsequent graft loss2.

This study has a few limitations. Data were collected retrospectively and our study population exclusively includes patients of Western European descent. Thus, due to distinct genetic characteristics data might not be representative for other ethnical groups. Except for 3 protocol biopsies in 3 ABOi RTx recipients, renal biopsies were only performed on indication. Therefore, some cases of BKN might have been missed. This study was designed as a case-control study and patients with BKV infection during the first four years after renal transplantation were only included if data and follow-up were complete. Controls were randomly selected from patients that underwent RTx during the same time period and had a follow-up of at least four years. A possible selection bias could not be ruled out and prospective, multicentre studies are needed to confirm our results.

We herein showed that fast Tac metabolism is associated with BK viremia. Calculation of the Tac C/D ratio one month after RTx could assist to identify patients at higher risk for BK viremia early after RTx. Our findings may assist transplant clinicians in the decision process to individually tailor immunosuppression, especially if risk factors for BKV infection are present.

Additional Information

How to cite this article: Thölking, G. et al. Influence of tacrolimus metabolism rate on BKV infection after kidney transplantation. Sci. Rep. 6, 32273; doi: 10.1038/srep32273 (2016).