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Clinical Transplantation

High transforming growth factor-β and extracellular matrix mRNA response in renal allografts during early acute rejection is associated with absence of chronic rejection1

Eikmans, Michael2 4; Sijpkens, Yvo W.J.3; Baelde, Hans J.2; de Heer, Emile2; Paul, Leendert C.3; Bruijn, Jan A.2

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Abstract

In kidney transplantation, chronic rejection is the most important cause of late graft loss (1). Chronic rejection is histologically characterized by arterial intimal fibrosis, interstitial fibrosis, and changes in the glomeruli. Both antigen-dependent and antigen-independent factors have been suggested to play a role in its pathogenesis. The frequency and severity of previous acute rejection episodes are important antigen-dependent risk factors (2,3). However, the exact relation between acute and chronic rejection is not clear. An ongoing immune response and damage because of acute rejection episodes may account for deteriorating graft function and structure (4). Furthermore, antigen-independent factors such as high donor age and delayed graft function have been hypothesized to contribute to an inferior tissue repair response, which might eventually result in the development of chronic rejection (5).

The multifunctional cytokine transforming growth factor-β (TGF-β) is believed to play an important role in allograft rejection. The histologic lesions seen in chronic rejection are the result of excessive deposition of extracellular matrix (ECM) components, a process thought to be mediated to a large extent by the effects of TGF-β (6). This cytokine has the ability to directly stimulate the synthesis of various ECM components (7,8), and to indirectly decrease ECM degradation by diminishing synthesis of ECM-degrading matrix metalloproteinases and by augmenting production of tissue inhibitors of matrix metalloproteinases (9). In addition, TGF-β can have an immunoregulatory effect (10). Several in vitro cell studies and in vivo studies in experimental kidney transplantation have shown that TGF-β can act as an immunosuppressant in inflammatory processes, for example by deactivating macrophages and inhibiting the development and frequency of cytotoxic T cells (11–14).

Studies in humans and animal models have shown altered mRNA and protein levels of TGF-β and ECM molecules in kidneys with acute or chronic allograft rejection compared with those in control tissue (15–19). However, none of these studies have investigated whether there is a relationship between levels of mRNA for TGF-β and ECM molecules during the early transplantation phase and the occurrence of chronic rejection, and thus whether these mRNA levels might function as early markers for this process. Therefore, in this study we attempted to discriminate, on the basis of mRNA levels of TGF-β and ECM molecules measured early after transplantation, patients who develop chronic rejection from patients who retain a stable kidney function.

METHODS

Patients and Study Design

This study involved patients who received a cadaveric renal transplant at the Leiden University Medical Center between January 1986 and September 1995. From a study of 654 kidney transplants, described in a previous report (20), patients were selected who received a maintenance immunosuppressive regimen consisting of cyclosporine (Sandimmune; Sandoz, East Hanover, NJ) and prednisone and who had a graft survival of at least 6 months. To evaluate renal function beyond 6 months after transplantation, regression lines of the reciprocal serum creatinine concentrations were constructed, as described earlier (20). A significant decline in the slope of the regression line was considered indicative of a deteriorating graft function. An insignificant decline was considered to represent a stable graft function.

Patients were classified into two groups based on the late graft event. Patients in one group had a deteriorating graft function beyond 6 months after transplantation, and had lost their graft from a biopsy-proven chronic rejection (CR+ group). The biopsies showed specific obliterate vascular changes in arteries, and presence of interstitial fibrosis and tubular atrophy, according to the Banff 1997 classification (21). The biopsies showed no signs of recurrent of the primary disease. Patients in the other group clinically retained a stable graft function beyond 6 months of transplantation for at least 5 years (CR− group).

From the CR+ group and CR− group we selected patients who had experienced at least one interstitial or vascular acute rejection episode within the first 6 months after transplantation. Treatment of acute rejection consisted of methylprednisolone, antithymocyte globulin, and methylprednisolone for first, second, and third acute rejection episodes, respectively. Further details concerning treatment have been described in a previous report (22). Ten patients fulfilled the inclusion criteria for the CR+ group and had sufficient frozen tissue available, taken within the first 6 months after transplantation, for our mRNA study. From the CR− group, 18 patients were selected (approximately twice the size of the CR+ group) with a maximal follow-up time. For each patient, we analyzed one biopsy with acute rejection taken within the first 6 months of transplantation. All biopsies studied had been taken before the start of the acute rejection treatment.

As an additional control, native kidneys with normal function and histology, obtained at autopsy, were studied (n=8). Mean age was 45.9±17.7 years.

Histology

Graft histology in the biopsies studied were diagnostically evaluated using sections stained with periodic acid–Schiff and silver-methenamine. Interstitial acute rejection was diagnosed when a widespread interstitial infiltrate was present affecting the tubules (tubulitis). Vascular acute rejection was diagnosed when arteritis was present. Results were expressed according to the Banff 1997 classification (21).

In addition to evaluation of the Banff scores, we evaluated the available sections stained with periodic acid–Schiff, and hematoxylin-eosin, for the total amount of cellular infiltrate in the glomeruli, tubulointerstitium, and vessels together, hence regardless of its location in the tissue. The amount of infiltrating cells was scored on a scale from 1 to 4 (1, weak diffuse infiltrate; 2, some foci; 3, considerable number of foci; 4, extensive number of foci).

RNA Extraction

Cryostat sections were cut from each biopsy. The cortex was pinpointed on the basis of light-microscopic localization of glomeruli in the sections, as described in a previous report (23). The cortex was removed as accurately as possible from the frozen biopsies and collected in a reaction tube. For extraction of the RNA, 750 μl of Trizol (Gibco BRL; Life Technologies b.v., Breda, The Netherlands) was added. For complete RNA precipitation in the last step of the protocol, isopropyl alcohol supplemented with 5 μg of glycogen (Boehringer Mannheim, Mannheim, Germany) was used. The RNA pellet was dissolved in 26 μl of water. Thirteen microliters was mixed with 10 U of rRNase inhibitor (Promega, Madison, WI) and incubated for 10 min at 60°C. After cooling on ice, this solution was mixed with 7 μl of cDNA mix containing an end concentration 1 μM oligo dT(12–15) (Boehringer Mannheim), 0.5 mM dNTP, 1× reverse transcriptase buffer, and 4 U of Omniscript reverse transcriptase (Qiagen, Omniscript cDNA kit, Westbury b.v., Leusden, The Netherlands). Reverse transcription was performed for 60 min at 37°C.

Real-Time Polymerase Chain Reaction

mRNA levels of TGF-β1, collagen α1(I), collagen α1(IV), decorin, and the household gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH) in the biopsies were quantified by real-time polymerase chain reaction (PCR; Prism 7700 Sequence Detector System Perkin-Elmer, Foster City, CA), as described in detail elsewhere (24). The forward primer, reverse primer (Gibco BRL), and TaqMan probe (Perkin-Elmer Biosystems) for each molecule were, respectively: 5′-CCC AGC ATC TGC AAA GCT C-3′, 5′-GTC AAT GTA CAG CTG CCG CA-3′, and 5′-ACA CCA ACT ATT GCT TCA GCT CCA CGG A-3′ (TGF-β1); 5′-ACT CTT TTG TGA TGC ACA CCA-3′, 5′-AAG CTG TAA GCG TTT GCG TA-3′, and 5′-AAT GGC GCA CTT CTA AAC TCC TCC AGG CAG G-3′ (collagen α1(IV)); 5′-CCT CAA GGG CTC CAA CGA G-3′, 5′-TCA ATC ACT GTC TTG CCC CA-3′, and 5′-ATG GCT GCA CGA GTC ACA CCG GA-3′ (collagen α1(I)); 5′-ACA TCC GCA TTG CTG ATA CCA-3′, 5′-AGT CCT TTC AGG CTA GCT GCA TC-3′, and 5′-TCA CCA GCA TTC CTC AAG GTC TTC CTC C-3′ (decorin); 5′-TTC CAG GAG CGA GAT CCC T-3′, 5′-CAC CCA TGA CGA ACA TGG G-3′, and 5′-CCC AGC CTT CTC CAT GGT GGT GAA-3′ (GAPDH). Probe sequences for the transcripts were chosen over an exon-intron junction to prevent amplification of genomic DNA. The 5′ ends of the TGF-β and collagen probes were labeled by the reporter dye tetrachloro-6-carboxyfluorescein, and the 5′ ends of the decorin and GAPDH probes by 6-carboxyfluorescein. The 3′ ends of all probes were labeled by the quencher dye 6-carboxy-tetramethyl-rhodamine. The PCR reaction contained 100 nM (GAPDH) or 80 nM (other transcripts) of probe, 300 nM of both primers, and TaqMan Universal PCR Master Mix (Perkin-Elmer) including 300 μM dNTP, 2.5 mM MgCl2, 0.5 U of AmpErase UNG, and 1.25 U of AmpliTaq Gold DNA polymerase. Reactions were carried out in optical 96-well reaction plates covered with optical caps (Perkin-Elmer). Amplification cycles were performed at 95°C for 10 min, followed by 40 cycles at 95°C for 15 sec and at 60°C for 1 min. The point (designated as CT value) at which the fluorescence intensity exceeds the standard deviation of the baseline fluorescence is a measure for the amount of cDNA, and thus mRNA, in the sample. mRNA signals for the different molecules in each sample were standardized for the GAPDH mRNA signal. All measurements were performed in duplicate. Differences between duplicates never varied by more than one CT value. As a standard in each PCR run we used a 5-fold dilution range of 2 pg of plasmid containing the appropriate template.

Statistical Analysis

Independent-samples t tests and chi-square tests were used to evaluate differences in continuous and categorized variables, respectively, between the CR+ and CR− groups. Real-time PCR data are presented as the means of duplicate measurements, and differences between groups were tested with independent-samples t test. We used Pearson tests for evaluation of correlations between mRNA measurements of different transcripts. Analyses were performed with SPSS (version 9.0) software. For all tests, P <0.05 was considered statistically significant.

RESULTS

Clinical Characteristics

The time between transplantation and graft loss because of chronic rejection in the CR+ group (35.3±33.6 months) was significantly lower than the mean follow-up time in the CR− group (93.4±25.0 months, P <0.001). The biopsies used in our mRNA study for the CR+ and CR− groups had been taken 62.2±50.8 and 45.8±43.3 days after transplantation, respectively (not significant). For the CR+ group, five biopsies had been taken during the first acute rejection episode, three during the second, and two during the third. For the CR− group, these numbers were nine, eight, and one, respectively (not significant). Table 1 shows further characteristics of the CR+ and CR− groups. Only urine protein concentration at 6 months (P <0.02) and the total number of acute rejection episodes (P <0.02) significantly differed between the two groups.

T1-16
Table 1:
Clinical characteristics

Histology

In the CR+ group, 20, 10, 50, 10, and 10% of the biopsies were borderline, type 1A, type 1B, type 2A, and type 3 acute rejection, respectively. In the CR− group these percentages were 11, 22, 44, 6, and 17%, respectively. The distribution of the different types of acute rejection in the CR+ and CR− groups was not significantly different.

The average score of the total cellular infiltrate in biopsies of the CR+ group (2.7±0.9) was not significantly different from that in the CR− group (2.7±0.7;Table 2).

T2-16
Table 2:
Histology and mRNA levels

Measurements of mRNA Transcripts

The relative mRNA measurements for TGF-β, collagen IV, collagen I, and decorin in the CR+ and CR− groups have been summarized in Table 2. The table also shows the mean TGF-β to decorin mRNA ratios for the patients in each group. Figure 1 shows the relative mRNA measurements for TGF-β in the CR+, CR−, and control groups. The mean TGF-β mRNA levels in the CR+ and CR− groups were significantly higher (P <0.005 and P <0.03, respectively) than those in the nontransplant controls. The mean TGF-β mRNA level in the CR− group was 3.4 times higher than that in the CR+ group (P <0.04). We did not find a difference in TGF-β mRNA levels between patients with interstitial acute rejection and patients with vascular acute rejection (data not shown).

F1-16
Figure 1:
TGF-β1 mRNA levels in the CR+ group, in the CR− group, and in nontransplant controls. For the CR+ and the CR− groups, cortical TGF-β mRNA levels were measured by real-time PCR in biopsies during acute rejection episodes within the first 6 months after transplantation. The CR+ group (n=10) contains patients who showed progressive deterioration of graft function beyond 6 months, and developed chronic rejection. The CR− group (n=18) includes patients who retained stable graft function beyond 6 months for at least 5 years. The nontransplant control group consists of seven kidneys, obtained at autopsy, from patients with normal kidney function. mRNA levels are shown as relative levels to the mean mRNA level in the CR+ group, which has been set to 1. Data are expressed as means of duplicate measurements. *P <0.05, #P <0.005.

Together with a higher mean mRNA level for TGF-β in the CR− group compared with that in the CR+ group, there was a 4.2 times higher mean collagen IV mRNA level (P <0.05;Fig. 2A), a 5.1 times lower mean collagen I mRNA level (Fig. 2B), and a 3.2 times lower mean decorin mRNA level (P <0.05) in the CR− group (Fig. 3A). We did not find a difference in mRNA levels for these ECM components between patients with interstitial acute rejection and patients with vascular acute rejection (data not shown). The mean of the TGF-β to decorin mRNA ratios, calculated for each patient, did not significantly differ between the CR+ and CR− groups (Fig. 3B). The mean decorin mRNA level in the healthy, nontransplant controls was the highest (Fig. 3A). Consequently, in these controls the mean TGF-β to decorin mRNA ratio was the lowest (Fig. 3B).

F2-16
Figure 2:
(A) Collagen α1(IV) mRNA levels and (B) collagen α1(I) mRNA levels in the CR+ group, in the CR− group, and in nontransplant controls. Experimental setup was as outlined in the legend to Figure 1. *P <0.05.
F3-16
Figure 3:
(A) Decorin mRNA levels and (B) TGF-β to decorin mRNA ratios in the CR+ group, in the CR− group, and in nontransplant controls. Experimental setup was as outlined in the legend to Figure 1. *P <0.05.

In the CR+ and CR− groups together, there were significant correlations of TGF-β mRNA with collagen IV mRNA (r =0.82, P <0.001), with collagen I mRNA (r =0.57, P <0.005), and with decorin mRNA (r =0.80, P <0.001). The TGF-β to decorin mRNA ratio did not show significant correlation with any of the mRNA measurements.

Correlations of TGF-β mRNA With Histology

We did not find a correlation between the TGF-β mRNA level and the severity of the acute rejections, as determined by the Banff 1997 classification. In the CR+ and CR− groups together, TGF-β mRNA levels significantly and positively correlated with the total cellular infiltrate score in the biopsies (n=28;r =0.42, P <0.05). We also tested for correlations between TGF-β mRNA and the infiltrate score in biopsies taken from patients who experienced only one acute rejection episode (n=11) versus patients who experienced a second or third acute rejection episode (n=17). There was a significant correlation between TGF-β mRNA and the amount of total cellular infiltrate in patients with a first acute rejection episode (r =0.66, P <0.04), although this correlation was not significant in patients with a second or third acute rejection episode (r =0.31).

DISCUSSION

In kidney transplantation the pathogenesis of chronic rejection, the most common cause of late graft dysfunction, is poorly understood. A considerable number of studies have tried to clarify the mechanism responsible for progression toward chronic failure by analyzing expression levels of TGF-β and ECM components. However, it has not yet been shown whether TGF-β and ECM mRNA levels in the early posttransplantation period are associated with the occurrence of chronic rejection later. In this study we tried to establish whether there is an association between mRNA levels of TGF-β and several ECM molecules during acute rejection episodes within 6 months after transplantation and development of chronic rejection.

We found that the mean mRNA levels of TGF-β, collagen IV, and decorin were high during acute rejection in patients who showed a stable graft function beyond 6 months (CR− group), compared with those in patients of whom graft function deteriorated beyond 6 months and who eventually lost their graft from chronic rejection (CR+ group). It should be noted that when the three highest TGF-β mRNA expressers in the CR− group are left out of our analyses, the mean TGF-β mRNA levels in the CR+ and CR− groups do not significantly differ. This indicates the need for confirmation of our findings in a larger patient group, which will be the goal of a future study. Collagen I mRNA levels did not differ significantly between the CR+ and the CR− groups, probably owing to the large spread of values obtained within the CR− group. The mRNA ratios between TGF-β and decorin, a natural antagonist of TGF-β, did not differ significantly between the CR+ and the CR− groups either. This may indicate that despite the higher TGF-β mRNA levels in the CR− group, TGF-β is not able to exert its effects, because of possible counteraction by decorin. However, we found significant correlations of the levels of mRNA for TGF-β with the levels of mRNA for all ECM components tested during acute rejection, suggesting that the TGF-β message we measured is a reflection of the presence of active TGF-β capable of regulating ECM transcription. Still, as it is not possible to discriminate active from latent TGF-β with the aid of merely quantitative reverse transcriptase PCR, it would be informative to analyze expression levels for molecules such as thrombospondin that have been described as being involved in the activation of TGF-β (25).

We considered several explanations that might account for the differences in TGF-β and ECM mRNA levels between the CR+ group and the CR− group: (1) A difference in cyclosporine maintenance therapy between the groups. Cyclosporine has been described to affect TGF-β mRNA expression (26). However, there were no differences in cyclosporine dosages, cyclosporine trough levels at 6 weeks, at 3 months, and at 6 months between the patient groups. In addition, we did not find any correlation between cyclosporine levels and TGF-β and ECM mRNA levels (results not shown). (2) The possibility that the therapeutic use of angiotensin-converting enzyme inhibitors or angiotensin II receptor antagonists for treatment of hypertension suppresses mRNA levels for TGF-β and matrix components (27,28). During the first 6 months after transplantation, one patient from the CR+ group and three patients from the CR− group received such medication. No relation was found between the use of this medication and TGF-β mRNA levels in the biopsy. (3) A difference in severity or timing of the acute rejection episodes in the biopsies studied. Pleading against this possibility is the fact that the groups did not differ histopathologically or with respect to time between transplantation and the moment of biopsy.

The most important observation in this study is that relatively high mRNA levels of TGF-β and ECM components during acute rejection are associated with the absence of chronic rejection. In line with this observation are preliminary data of other authors, who described that a high TGF-β phenotype is associated with a decreased risk of a Banff chronic score of ≥2 in the 6-month biopsy (29). Studies in mice have shown that injection of plasmid DNA encoding for TGF-β1 into allogeneic cardiac grafts at the time of transplant surgery resulted in prolonged survival of the allografts (13,30,31). In vivo administration of recombinant TGF-β1 protein in rats prolonged the survival of cardiac allografts (14) and islet xenografts (32). Based on the findings from our study and observations reported by other authors, we hypothesize that TGF-β has beneficial effects during acute rejection. First, TGF-β could have antiinflammatory effects during the early phase of transplantation. It has been described, for example, that TGF-β is able to deactivate macrophages (11), inhibit cytotoxic T-lymphocyte development (12), impair adhesiveness of infiltrating cells to local tissue (33), and inhibit cytokine synthesis by infiltrating cells (34). Furthermore, in experiments in which in vivo administration of TGF-β resulted in prolongation of mouse cardiac allografts, TGF-β gene transfer was associated with a decrease in the frequency of donor-specific cytotoxic T cells and interleukin 2-secreting helper T cells in the grafts (13). These findings suggest the potential of TGF-β to counteract the effects of infiltrating cells in inflamed renal tissue. Second, TGF-β might play a major role in promoting tissue repair by modulating ECM homeostasis after damage inflicted by inflammatory reactions. Supporting this view, TGF-β has been shown to accelerate experimental wound healing in rats (35). It has also been suggested that development of chronic rejection may well be a result of impaired repair from renal injury (36).

If our hypothesis that TGF-β production during acute rejection lessens the severity of the episodes is true, one might expect that the rejection episodes in the patients with the highest TGF-β mRNA expression or the highest TGF-β to decorin mRNA ratio are the mildest. Indeed, the three patients with the highest TGF-β mRNA expression have episodes of relatively low severity, i.e., Banff type I. The two patients with the highest TGF-β to decorin ratio also had rejection episodes of Banff type I severity.

Our observations leave open the possibility that TGF-β plays a profibrogenic role during the process of chronic rejection itself, as has been suggested by others in studies of TGF-β gene polymorphism (37,38) and TGF-β expression during chronic renal allograft rejection (17,39). Given the pleiotropic character of TGF-β, its effect could well vary with time. In addition, patients in the CR+ group, who display a relatively low TGF-β mRNA expression during early acute rejection, might switch to a high TGF-β phenotype in later stages, leading to excessive accumulation of ECM components, and eventually to deteriorating graft structure and function. It is conceivable that the alteration of TGF-β mRNA levels detected in our study is an epiphenomenon that is not causally related to the occurrence or absence of chronic rejection, but is related to a direct and strong immune response involving an influx of inflammatory cells expressing high TGF-β mRNA levels. The significant and positive correlation we found in early biopsies between the amount of total cellular infiltrate and the TGF-β mRNA level might support this.

Our results suggest a possible role of TGF-β mRNA as a prognostic marker. More specifically, an increased TGF-β response in early biopsies is correlated with an absence of chronic rejection in the course of time, and might thus indicate a better prognosis. In contrast, a low TGF-β response does not discriminate between those who progress and those who do not progress, given the partial overlap between both study groups (Fig. 1). Clearly, the predictive value of TGF-β mRNA levels and the potential beneficial actions of TGF-β in early renal transplant biopsies must be further evaluated in future prospective studies.

In summary, we have shown that mean mRNA levels of TGF-β and ECM, but not histopathologic changes, in biopsies with acute rejection taken within the first 6 months after transplantation differ significantly between individuals who beyond 6 months show deteriorating kidney function and develop chronic rejection and individuals who beyond 6 months show stable kidney function. These mRNA levels are higher during the acute rejection phase in individuals with continuous graft acceptance than those in individuals who develop chronic rejection. Our findings might indicate a beneficial effect of TGF-β during acute rejection in that this cytokine plays an important role in immunosuppression and induction of tissue repair.

Acknowledgments.

The authors thank Paul Eijlers for help with the statistical analyses of the data, and Dr. J.W. de Fijter for critically reading the manuscript.

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