Introduction

Immunosuppression therapy after liver transplantation (LT) usually consists of calcineurin inhibitors (CNI) combined with mycophenolic acid (MPA) and/or steroids [1]. CNI can induce long-term side effects such as renal dysfunction, malignancy, and cardiovascular diseases [2]. Neurological side effects occur as transient dysfunction [3, 4] as well as cognitive impairment and brain atrophy in the long-term [5]. Possible pathophysiological mechanisms are CNI-induced atherosclerosis and microangiopathy causing structural brain alterations [2], CNI-induced mitochondrial dysfunction causing alterations of brain energy metabolism, and alterations of the cerebral immune system that may result in neurodegeneration [6, 7].

The present study used PET with the third-generation ligand (S)-N,N-diethyl-9-(2-18F-fluoroethyl)-5-methoxy-2,3,4,9-tetrahydro-1H-carbazole-4-carboxamide (18F-GE-180) [8, 9] for the translocator protein (TSPO) to test the hypothesis that long-term immunosuppression with CNI in liver-transplanted patients is associated with reduced TSPO availability in the brain, indicating CNI-associated suppression of microglial activity, which in turn is associated with cognitive impairment.

Microglia cells are the primary immune cells of the central nervous system [10]. On activation, microglia cells upregulate TSPO expression [11]. Microglia cells play important roles not only in the survey of the brain parenchyma for danger-associated patterns and the neuroimmune system’s response to these patterns, but also in physiological conditions related to cognition such as shaping neural circuit activity [12]. Association between cognitive impairment and reduced TSPO expression has been reported in Alzheimer’s disease [13], early-stage schizophrenia [14], alcohol dependence [15], and Hepatitis C–associated encephalopathy [16].

Materials and methods

Study subjects

This study is a sub-study of a collaborative research project on the impact of long-term CNI therapy on brain function in patients after liver transplantation funded by the German Federal Ministry of Education and Research (reference number: 01EO1302). In the first part of the overall study, patients (n = 85) and healthy controls (n = 33) underwent neuropsychological testing and magnetic resonance imaging (MRI) [17], as well as analysis of brain- and T-cell-derived cytokines in blood plasma [18]. Details of the recruitment and eligibility criteria have been described previously and are given in the online supplementary (see subsection “Recruitment and eligibility criteria”) [17]. Additional exclusion criteria for the PET sub-study were pregnancy and contraindication for an arterial cannula in the radial artery.

A subsample of 22 patients and three controls agreed to take part in the PET sub-study. Six additional healthy subjects were recruited specifically for the PET sub-study. Demographics are given in Table 1.

Table 1 Demographic and clinical characteristics for patient groups and controls

Nine of the 22 liver-transplanted patients were on low-dose CNI therapy (stable tacrolimus trough plasma levels below 5 μg/L or stable cyclosporine A (CsA) trough levels below 50 μg/L) and ten patients on standard-dose CNI therapy (stable tacrolimus trough levels above 5 μg/L or stable CsA trough levels above 50 μg/L). Only three CNI-free patients had agreed to participate in the PET sub-study. The remaining CNI-free patients included in the main study did not fulfil the eligibility criteria (n = 9, most often due to deterioration of their medical condition) or declined participation in the PET sub-study (n = 8).

The CNI-free patients had been treated for 3.7 (±3.8) years with CNI after LT and were CNI free for 10.0 (± 2.0) years at the time of the study. The main reason for the reduction or termination of CNI had been CNI-induced kidney toxicity. The immunosuppressive therapy regimen of the patients and the etiology of liver disease are given in the Online Supplementary (Table S1). All patients had normal liver function. Kidney function measured as glomerular filtration rate was mildly decreased in all patient groups (CNI free 66.3 ± 9.7 mL/min, CNI low dose 85.7 ± 26.9 mL/min, CNI standard dose 88.2 ± 28.2 mL/min, p = 0.454).

CNI trough level at the time of PET was determined in each patient. Additionally, total CNI dosage (ingested dose over time) for each patient was calculated with last observations carried forward between each measuring point between LT and the study examination date (details in [17]).

TSPO genotyping

For TSPO polymorphism genotyping, genomic DNA was extracted from whole blood and exon 4 of TSPO gene as well as exon/intron junctions were PCR amplified and sequenced using specific primers (Department of Psychiatry and Psychotherapy, University of Regensburg, Germany, Prof. Wetzel). Sequencing data were analyzed using SnapGene software (GSL Biotech; available at snapgene.com). Subjects were categorized as low (LAB), mixed (MAB), or high (HAB) affinity binders depending on whether none, one, or two copies of the high affinity binding site were present [19,20,21,22].

Magnetic resonance imaging

High-resolution T1-weighted magnetization prepared rapid acquisition gradient echo MRI of the brain for stereotactical normalization of the PET images was acquired from all subjects at 3T (Verio, Siemens, Erlangen, Germany; voxel size 1.0 × 1.0 × 1.0 mm3, echo time 2.93 ms, repetition time 1900 ms, inversion time 900 ms, flip angle 9.0°) [19].

Synthesis of 18F-GE-180 and PET/CT imaging

18F-GE-180 was produced in a GMP-conform synthesis using a single-use disposable cassette (FASTlab PET GE-180 cassette, GE Healthcare, UK) on an automated synthesis module (FASTlab™, GE Healthcare, UK) and the corresponding S-enantiomeric pure mesylate precursor (3.5 mg, GMP grade) [23]. 18F-fluoride was obtained from a 11-MeV cyclotron (Eclipse HP, Siemens, Knoxville, USA) using the 18O(p,n)18F nuclear reaction on enriched (97–98%) 18O-water or obtained from external sources [19].

PET imaging was performed with a Biograph mCT-128 (Siemens, Erlangen, Germany). A low-dose computerized tomography (CT) scan (100 kV, 30 mAs) was acquired for attenuation correction of the PET data. Thereafter, a list mode emission scan of 90-min duration was started simultaneously with intravenous injection of 178 ± 7 MBq (range 157–195) 18F-GE-180 over 10s into an antecubital vein. Administered dose of 18F-GE-180 was 2.14 ± 0.35 MBq/kg bodyweight (range 1.62–3.11 MBq/kg). Specific dose did not differ between TSPO genotypes (2.13 ± 0.13 MBq/kg, 2.05 ± 0.38 MBq/kg, and 2.19 ± 0.38 MBq/kg in LAB, MAB, and HAB, respectively, analysis of variance (ANOVA) p = 0.616). In order to measure the input function for tracer kinetic modeling, arterial blood was drawn from the radial artery. Automatic blood sampling was done during the first 15 min of the PET scan (Veenstra PBS-101, Veenstra Instruments, The Netherlands), followed by manual blood sampling until the end of the PET acquisition. Reconstruction and preprocessing of the PET data have been described previously [19].

Quantitative analysis of TSPO expression

The total distribution volume (VT) of 18F-GE-180 was used as the primary quantitative measure of regional TSPO expression in the brain. VT is the sum of the specific distribution volume (VS) for specific binding of 18F-GE-180 to TSPO plus the non-displaceable distribution volume (VND) comprising free (unbound) and unspecifically bound (not to TSPO) 18F-GE-180 in tissue (VT = VS + VND). VS is proportional to the density of TSPO available for binding of 18F-GE-180. VND is background signal of no primary interest. For 18F-GE-180, VS is assumed to be larger than VND in HAB and MAB subjects [22], making VT a useful marker of TSPO availability.

Tissue time activity curves were obtained for the following volumes-of-interest (VOI) using standard VOI masks [19]: frontal, parietal, lateral temporal, occipital, cingulate, and mesial temporal cortex, cerebellum, insula, precuneus, striatum, thalamus, and white matter (superior longitudinal fasciculus). Tissue time activity curves were corrected for blood in brain tissue assuming a fixed fractional blood volume of 5% [24].

VT was determined separately for each VOI using the time activity curve and the invasive graphical Logan method with metabolite-corrected arterial input function [19]. Mean whole brain VT was estimated by the volume-weighted average of all regional VT.

Parametric VT images were obtained for each subject by applying the invasive graphical Logan method on a voxel-by-voxel base.

Neurological and neuropsychological assessment

All participants underwent a neurological examination and completed the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The latter assesses attention, visuospatial/constructional ability, language skill, and immediate and delayed memory. An age-corrected index score was calculated for each of these domains. The total age-corrected scale (RBANS Total Scale) was obtained by summing all index scores [25]. Higher test values suggest better cognitive function.

The study has been approved by the ethics committee of Hannover Medical School (reference no. 6525) and the Federal Office for Radiation Protection (reference no.: Z5 – 22463/2 – 2015-030). All subjects provided written informed consent.

Statistical analyses

The effect of the TSPO genotype on VT was tested in the control subjects using ANOVA with VT as dependent variable and TSPO genotype (HAB versus MAB) and VOI as fixed factors.

The impact of CNI therapy (independent of the dose) on VT was first tested by comparing the group of low-dose and standard-dose patients combined with the controls using ANOVA with VT as dependent variable and group and TSPO genotype as fixed factors. The ANOVA was performed (i) separately for each VOI, (ii) for whole brain VT, and (iii) with VOI (n = 12) as additional fixed factor.

The impact of the CNI dose on VT was tested by ANOVA comparing VT between patients under low-dose CNI, patients under standard-dose CNI, and controls. TSPO genotype and ROI were taken into account as additional fixed factors.

To evaluate the impact of the CNI plasma level on VT, the CNI trough level at the time of PET was transformed to z-scores, separately for tacrolimus and CsA. The impact of the CNI trough level on VT was tested by ANOVA with VT as dependent variable, TSPO genotype and VOI as fixed factors, and the CNI trough level z-score as covariate including all patients under CNI therapy.

An analogous analysis was performed with the total CNI dosage transformed to z-scores.

A potential association between cognition and TSPO availability was first tested by linear regression of each of the RBANS scores as dependent variable and mean whole brain VT or regional VT in one of the 12 different VOIs as predictors. The regression analyses were restricted to the ten HAB subjects amongst the patients with CNI therapy, because including the TSPO genotype as additional predictor variable in the regression model would have caused multicollinearity issues that limit the interpretation of the regression coefficients of the individual predictor variables.

In order to increase the sample size for testing of potential associations between cognition and TSPO availability by combining HAB and MAB patients with CNI therapy (n = 17) in a single analysis, the polymorphism plot was used to estimate the non-displaceable distribution volume (VND) of 18F-GE-180 (for further details, see Online Supplementary subsection “Polymorphism plot of 18F-GE-180 for the preparation of testing for an association between cognition data and TSPO expression”) [22, 26]. The specific distribution volume (VS) was then computed as VS = VT–VND. The specific distribution volume of the MAB subjects was multiplied by the factor 2 to account for the additional copy of the high affinity binding site in the HAB patients. A potential association between cognition and TSPO expression was tested by linear regression of the RBANS scores as dependent variable and mean whole brain VS or regional VS in one of the VOIs as predictors.

A two-sided p-value <0.05 was considered significant. SPSS Version 25.0 was used for statistical analysis.

Results

Characteristics of study subjects

Patients and controls did not significantly differ regarding age, sex, and education (Table 1). RBANS performance was better in controls than in patients, but the difference did not reach statistical significance (ANOVA with 4 subgroups p = 0.752, Table 1). The patients performed worse than controls especially regarding immediate memory (p = 0.077). Detailed data are given in Table 2.

Table 2 Results of the RBANS

TSPO genotyping in the nine controls revealed one LAB (11%), three MAB (33%), and five HAB (56%). The patient group (n = 22) showed a similar distribution: three LAB (14%), eight MAB (36%), and eleven HAB (50%) (chi-square p = 0.958, Table 1).

TSPO genotype effect on VT in the control subjects

The 5 HAB controls were on average 11.7 years older than the 3 MAB controls (62.2 ± 9.5 versus 50.5 ± 2.3 years, p = 0.049).

Mean estimated VT over all VOIs was significantly higher in HAB (0.148, 95%-CI: 0.144–0.151) compared to MAB controls (0.083, 0.079–0.088; p < 0.0005) (Fig. 1). The TSPO genotype effect on VT did not differ between VOIs (genotype*VOI interaction: p = 0.502), although VT differed significantly between VOIs (p < 0.0005). VT was largest in the mesiotemporal lobe and smallest in the striatum (Fig. 1).

Fig. 1
figure 1

Mean and standard deviation of VT in the control group separated for brain region and TSPO genotype (LAB, MAB, HAB). HAB, high affinity binder n = 5; LAB, low affinity binder n = 1; MAB, mixed affinity binder n = 3; SLF, superior longitudinal fasciculus; TSPO, translocator protein; VT, distribution volume

Impact of CNI therapy on VT independent of dose

ANOVA of age with group (CNI therapy versus controls) and TSPO genotype (HAB versus MAB subjects) as fixed factors did not reveal a significant age difference between patients and controls (p = 0.671) nor between HAB and MAB subjects (p = 0.057).

ANOVA of VT with group (CNI therapy versus controls) and TSPO genotype as fixed factors, performed separately for each VOI and for the whole brain, confirmed higher VT in HAB compared to MAB subjects (p ≤ 0.018 in 11 VOIs and in whole brain, p = 0.068 in the remaining (parietal) VOI). VT was lower in patients under CNI therapy in 11 of the 12 VOIs and in whole brain, but the level of statistical significance was not reached in any of them (p ≥ 0.073).

ANOVA of VT with group (CNI therapy versus controls), TSPO genotype, and VOI as fixed factors also confirmed higher VT in HAB compared to MAB subjects: estimated mean VT = 0.134 (95%-CI: 0.128–0.140) versus 0.080 (0.073–0.088) (p < 0.0005). The TSPO genotype explained 30.3% of the between-subjects variance of VT2 = 0.303). The VOI dependence of VT was also confirmed (p = 0.002, η2 = 0.106). The reduction of VT in patients under CNI therapy compared to controls now reached statistical significance (p = 0.001, η2 = 0.040): estimated mean VT = 0.099 (95%-CI 0.093–0.104) versus 0.115 (0.107–0.124). The reduction of VT in patients under CNI therapy was more pronounced in HAB subjects than in MAB subjects (genotype*group interaction p = 0.029, η2 = 0.019) (Fig. 2). When ANOVA of VT with group (patients with CNI therapy versus controls) and VOI as fixed factors was performed separately for HAB and MAB subjects, the group effect (lower VT in patients with CNI therapy) was highly significant in the HAB subjects (p < 0.0005), but it failed to reach statistical significance in the MAB subjects (p = 0.106).

Fig. 2
figure 2

Mean of VT in different brain regions from controls and patients separated according to TSPO genotype (MAB, HAB)/ HAB, high affinity binder; MAB, mixed affinity binder; SLF, superior longitudinal fasciculus; TSPO, translocator protein; VT, total distribution volume

Age did not show a significant effect on VT when it was included as a covariate in the ANOVA of VT with group (CNI therapy versus controls), TSPO genotype, and VOI as fixed factors (p = 0.674). All other effects were confirmed (TSPO genotype p < 0.0005, group p = 0.002, VOI p = 0.002, genotype*group interaction p = 0.026).

Impact of CNI dose regimen on VT

ANOVA of VT with group (low dose versus standard-dose CNI versus controls), TSPO genotype, and VOI as fixed factors showed a significant group effect (p < 0.0005). Post hoc testing using Scheffe’s test showed VT to be significantly lower in patients under low-dose CNI therapy compared to controls (p < 0.0005): estimated mean VT = 0.095 (0.086–0.103) versus 0.115 (0.108–0.123). In patients under standard-dose CNI therapy, estimated mean VT was 0.118 (0.110–0.125), similar to controls. Figure 3 shows VT for each brain region separated according to TSPO genotype and CNI therapy.

Fig. 3
figure 3

Mean VT in 12 brain regions from MAB and HAB subjects separated according to controls, patients on low-dose CNI and standard-dose CNI. CNI, calcineurininhibitors; HAB, high affinity binder; MAB, mixed affinity binder; SLF, superior longitudinal fasciculus; VT, total distribution volume

ANCOVA with VT as dependent variable, TSPO genotype (HAB versus MAB) and VOI as fixed factors, and the CNI trough level z-score as covariate including all patients under CNI therapy, independent of the specific CNI, revealed a significant effect of the CNI trough level (p < 0.0005) that explained 11.0% of the between-subjects variance of VT2 = 0.110). The model coefficient of the CNI trough level z-score was positive (B = 0.018, 95%-CI 0.010–0.025) indicating lower VT at lower CNI trough level.

The total CNI dose explained less VT variance (3.1%) compared to CNI trough level.

Figure 4 displays a representative transversal slice of the individual voxel-based VT maps for all study participants separated according to group and TSPO genotype. The figure illustrates the TSPO genotype effect on VT (HAB > MAB > LAB) as well as a reduction of VT in the patients compared to controls that is mainly driven by HAB patients under low-dose CNI therapy.

Fig. 4
figure 4

Representative transversal slices of the individual voxel-based VT maps for all study participants separated according to subgroup and TSPO genotype. The figure illustrates the TSPO genotype effect on VT (HAB > MAB > LAB) in general and in particular, e.g., a reduction of VT in the patients compared to controls that is mainly driven by HAB patients under low-dose CNI therapy. CNI, calcineurininhibitors; HAB, high affinity binder; L, left; LAB, low affinity binder; MAB, mixed affinity binder; VT, total distribution volume; R, right

Association of cognition with TSPO availability

None of the 78 (= 6*13) linear regression analyses of the five RBANS index scores or the RBANS total scale with one of the 13 VT or Vs values (whole brain and 12 regional VOIs) as predictor in the 10 or 17 HAB patients with low- or standard-dose CNI therapy achieved statistical significance.

Discussion

The main finding of this study was the reduced cerebral TSPO availability in liver-transplanted patients under CNI therapy, the standard immunosuppressive therapy after liver transplantation [1]. This finding supports the primary hypothesis of the study that CNI therapy causes chronic suppression of microglial activity in liver-transplanted patients. Thus, CNI not only play a role as suppressors of peripheral cell-mediated immune reactions, but they are also involved in the regulation of the cerebral immune system.

So far this hypothesis was mainly based on experimental research. Tacrolimus and, to lesser extent, CsA inhibit microglia activation in cultured cells [27]. Tacrolimus reduced LPS-induced activation of mitogen-activated protein kinase (MAPK) and NFκB signaling pathways, crucial steps in microglia activation. This led to an inhibition of morphological transformation, motility, and release of mediators like IL-1β, Cox-2, and iNOS in inflammatory microglia [27]. Tacrolimus also attenuated microgliosis in a mouse model of Alzheimer’s disease [28].

Interestingly, the reduction of TSPO availability under CNI therapy was mainly driven by the patients under low-dose therapy, whereas the patients under standard dose showed similar TSPO availability as controls. This finding was not unexpected, as it is consistent with the results of a previous sub-study of our collaborative research demonstrating more prominent reduction of cognitive performance in liver-transplanted patients who initially had shown nephrotoxic side effects of standard-dose CNI therapy and therefore were on low-dose CNI therapy compared to liver-transplanted patients who had not shown relevant CNI nephrotoxicity and therefore remained on standard-dose CNI therapy (Figure 4 in [17]). Liver-transplanted patients on low-dose CNI therapy also showed more microvascular pathology (white matter hyperintensities in MRI) in the occipital lobe than liver-transplanted patients with standard-dose CNI therapy (Figure 5 in [17]), although the difference did not reach statistical significance. Of note, at the time point of the PET study, both patient groups with CNI therapy showed similar glomerular filtration rates. In addition, only 2 of 9 (22%) of the low-dose and 1 of 10 (10%) of the standard-dose CNI therapy group showed chronic kidney disease grade III. Our hypothesis suggests that nephrotoxic CNI side effects might be an indicator of generally increased susceptibility against unwanted CNI effects including side effects on the cerebral immune system. The results of the present study provide further evidence in favor of this hypothesis.

Current CNI trough levels explained more variability of TSPO availability than the CNI total dose. This finding might favor an acute (possibly reversible) effect of the CNI therapy on microglial activity rather than a cumulative long-term effect.

This study demonstrated 18F-GE-180 VT to be considerably higher in HAB subjects compared to MAB subjects (Fig. 1), similar to other 2nd and 3rd generation TSPO ligands for PET [29]. This is an important finding, because previous studies with 18F-GE-180 PET reported inconsistent results. Feeney and co-workers found no significant effect of the TSPO gene polymorphism on any regional VT in a study with dynamic 18F-GE-180 PET in 10 healthy subjects (5 MAB and 5 HAB) [24], neither did Unterrainer and co-workers, performing static 18F-GE-180 PET in 19 patients with multiple sclerosis (3 LAB, 5 MAB, 11 HAB) [30]. In contrast, Fan and co-workers, using dynamic 18F-GE-180 PET in 10 healthy subjects (6 HAB, 4 MAB), found regional VT to be higher in HAB than in MAB subjects [20]. A study in patients with multiple sclerosis (3 HAB, 3 MAB) found whole brain VT to be about 70% larger in HAB compared to MAB subjects [22]. The present study adds further evidence of a strong effect of the TSPO genotype on 18F-GE-180 binding. As a consequence, TSPO genotype was taken into account in all analyses. We recommend that future studies with 18F-GE-180 PET also account for TSPO genotype.

Reduction of the total distribution volume (VT) of 18F-GE-180 under CNI therapy was mainly driven by HAB subjects. Given that specific binding of 18F-GE-180 to TSPO accounts for a larger proportion of VT in HAB subjects than in MAB subjects, this finding suggests that CNI therapy mainly affects specific binding (via suppression of microglial activation) whereas non-displaceable background signal is not affected by CNI therapy. This supports the use of 18F-GE-180 PET to detect CNI-induced alterations of microglia status. Furthermore, higher effect size of CNI-induced VT alterations in HAB subjects compared to MAB subjects provides higher power of 18F-GE-180 PET to detect and monitor CNI-induced microglial alterations. Future studies with 18F-GE-180 PET might restrict enrolment to HAB subjects in order to reduce the sample size required to provide the statistical power to detect a given effect size.

The spatial distribution pattern of 18F-GE-180 VT in the HAB control subjects (see Online Supplementary Figure S2) was in reasonable agreement with the distribution of microglia in the healthy brain shown in preclinical immunocytochemical studies [31]: 18F-GE-180 VT was higher in gray than in white matter, and it was particularly high in the mesial temporal cortex and in the thalamus. Differences between the spatial distribution pattern of 18F-GE-180 VT and the microglia density measured by immunocytochemical methods to some extent might be explained by the fact that TSPO expression in the brain is not restricted to microglia. TSPO is expressed in ependymal and vascular endothelial cells, but also in most other cells including neurons, although at lower levels [32]. As a consequence, TSPO not associated to microglia contributes to specific binding of 18F-GE-180. Partial volume effects caused by limited spatial resolution of PET also contribute to the differences between the spatial distribution pattern of 18F-GE-180 VT and the microglia density measured by immunocytochemical methods. Finally, variability of 18F-GE-180 VT between brain regions is expected to underestimate variability of microglia density, because only the specific distribution volume VS of 18F-GE-180 is assumed to be proportional to TSPO density. The non-displaceable distribution volume VND dilutes spatial variability of the specific contribution in VT (VT = VS + VND).

The following limitations of this study should be noted. First, the sample size was rather small given that different CNI dose regimes and different TSPO genotypes were included. This resulted in low statistical power to detect reduced cognitive performance in liver-transplanted patients on CNI therapy described in previous studies as well as its possible association with reduced global/regional TSPO availability in the brain. Furthermore, the group of CNI-free patients included only three subjects, one of each TSPO genotype (Table 1), which precluded statistical comparison of the CNI-free patients with the other subgroups.

Second, the total distribution volume VT of 18F-GE-180 was in general very low throughout the whole brain. In the HAB controls, regional VT ranged between 0.12 and 0.18 mL/cm3 (Fig. 1). This is in line with previous 18F-GE-180 studies in healthy human subjects [20, 22, 24, 33] and most likely is due to a low permeability-surface-area-product of brain capillaries for 18F-GE-180 as suggested by the small rate constant K1 for unidirectional transport of 18F-GE-180 from arterial blood to tissue even at normal cerebral blood flow [20, 24]. For a systematic comparison of 13 different TSPO tracers including [11C](R)-PK11195 and 18F-GE-180, we refer the reader to the excellent review by Cumming and co-workers [29]. However, Sridharan and co-workers recently confirmed specific binding of 18F-GE-180 in the human brain by a blocking study in multiple sclerosis patients [22]. These authors found that in HAB subjects about 57% of VT represent specific binding of 18F-GE-180 to the TSPO [22]. This high specific-to-non-displaceable binding ratio makes 18F-GE-180 a useful tracer for the detection and quantitative characterization of altered TSPO availability in the human brain, particularly in HAB subjects, despite its low extraction from arterial blood across the intact blood-brain barrier.

Third, 18F-GE-180 VT maps generated by voxel-based tracer kinetic modeling demonstrated considerable between-subjects variability also within subgroups separated according to TSPO genotype and clinical group (Fig. 4). In particular, three of the ten HAB patients under low- or standard-dose CNI therapy (patients 4, 6, 22) presented with higher VT compared to the other seven patients with CNI therapy (Fig. 4). A possible explanation of this finding is a gender effect on VT, as these three patients were all females, compared to only one of the remaining seven HAB patients (patient 9). A recent study reported about 25% higher whole gray matter VT of the TSPO ligand [11C]PBR28 in healthy HAB females compared to healthy HAB males [34]. However, amongst the five HAB controls included in the present study, the two females (controls 2, 7) did not differ from the three males with respect to VT (Fig. 4). Thus, the present study does not provide clear evidence of a gender effect on 18F-GE-180 VT. Nevertheless, a gender effect cannot be ruled out and, therefore, might have contributed to the reduction of VT in the liver-transplanted patients on CNI therapy (HAB female to HAB male ratio was 5:2 in the low-dose CNI patients compared to 3:2 in the control subjects, Table 1). Future studies should balance subsamples with respect to gender.

Finally, it cannot be ruled out that slightly reduced RBANS performance was pre-existing in the patients included in the present cross-sectional study (prior to liver transplantation and CNI therapy). The RBANS is sensitive to cognitive changes caused by medical treatments, but it also depends on premorbid intellectual functioning [35].

In conclusion, the findings of this study provide evidence of chronic suppression of microglial activity in liver-transplanted patients under CNI therapy with reduced dose due to high sensitivity to CNI toxicity as indicated by nephrotoxicity at the standard dose. This finding might have considerable impact on the management of liver-transplanted patients, given that microglia plays important roles in the survey of the brain parenchyma for danger-associated patterns and the neuroimmune system’s response to these patterns as well as in physiological conditions whose disturbance might result in psychiatric and neurological symptoms.