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J Am Soc Nephrol 13:1650-1656, 2002
© 2002 American Society of Nephrology

Identification of Highly Responsive Kidney Transplant Recipients Using Pretransplant Soluble CD30

Caner Süsal, Steffen Pelzl, Bernd Döhler and Gerhard Opelz the Collaborative Transplant Study

Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany.

Correspondence to Dr. Caner Süsal, Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Im Neuenheimer Feld 305, D–69120 Heidelberg, Germany. Phone: 49-6221-565545; Fax: 49-6221-564200; E-mail: caner_suesal{at}med.uni-heidelberg.de


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 
ABSTRACT. The identification of high immunologic responders is desirable for the selection of appropriate immunosuppressive regimens. With the collaboration of 29 transplant centers in 15 countries, we investigated whether the pretransplant serum content of soluble CD30 (sCD30), a marker for the activation state of Th2-type cytokine producing T cells, is a useful predictor of kidney graft outcome. Pretransplant sera of 3899 cadaver kidney recipients were tested for serum sCD30 concentration using a commercially available enzyme-linked immunosorbent assay kit. Subsequent kidney graft survival was analyzed. The 5-yr graft survival rate in 901 recipients with a high pretransplant serum sCD30 (>=100 U/ml) was 64 ± 2%, significantly lower than the 75 ± 1% rate in 2998 recipients with low sCD30 (<100 U/ml) (P < 0.0001). High sCD30 was associated primarily with graft loss and not with patient death. The sCD30 effect on graft survival was evident in first transplants as well as in retransplants, in presensitized patients with lymphocytotoxic antibodies as well as in nonsensitized patients, and in patients who received HLA well-matched kidneys as well as in patients who received poorly matched grafts. Recipients with a high pretransplant sCD30 needed significantly more rejection treatment after the first posttransplant year and continued to lose grafts at a higher rate during the 5-yr follow-up period, indicating that pretransplant sCD30 predicts not only the risk of acute rejection but also of chronic allograft nephropathy.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 
Pretransplant determination of a recipient’s risk of graft rejection is an important prerequisite for the application of recipient-tailored immunosuppression. Administration of potent immunosuppressive regimens has been shown to improve graft outcome in preimmunized recipients (1,2). In low risk recipients, one would like to avoid high-dose immunosuppression to reduce drug side effects, such as toxicity, infection, and development of cancer. Until now, panel reactive antibodies (PRA) are the only established indicator of increased immunologic responsiveness before transplantation. Highly reactive PRA predict an increased risk of early acute rejection (3,4). Tests that predict an increased risk of chronic allograft nephropathy are currently not available.

The CD30 molecule, a member of the tumor necrosis factor/nerve growth factor receptor superfamily, was originally identified as a cell surface antigen on Hodgkin and Reed Sternberg cells (5). CD30 is preferentially expressed on human CD4+ and CD8+ T cells that secrete Th2-type cytokines, whereas no or low CD30 expression is found on Th1-type cytokine-secreting T cells (6). A soluble form of CD30 (sCD30) is released into the bloodstream after activation of CD30+ T cells (7). In diseases in which Th2-type immune responses predominate, such as lupus erythematosus or atopic dermatitis, elevated serum sCD30 was found to be associated with increased disease activity (8,9). Elevated serum sCD30 in early stages of HIV-1 infection predicted a more rapid progression to AIDS (10). In multiple sclerosis, a disease in which Th1-type immune responses predominate, increased sCD30 serum levels were correlated with disease remission (11).

On the basis of preliminary evidence showing that kidney transplant recipients with a high pretransplant serum sCD30 content had an impaired graft outcome (12), we conducted the present large multicenter study involving nearly 3900 transplants and performed a comprehensive analysis of sCD30 against the background of other established risk factors for graft loss.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 
Pretransplant sera of 3899 cadaver kidney recipients were provided by 29 centers in 15 countries (see Appendix). Consecutivity was not a criterion, as the centers were asked to send sera on all transplanted patients on whom a sufficient volume of the last serum obtained before transplantation was available. The sera were shipped frozen to the study center in Heidelberg and tested for serum sCD30 content using a commercially available enzyme-linked immunosorbent assay (ELISA) kit (Bender MedSystems, Vienna, Austria). In addition, 50 adult healthy controls who had a similar age and gender distribution as adult kidney recipients were tested (mean age, 44 ± 2; male:female, 60:40%). For the transplant analysis, an sCD30 cut-off level of 100 U/ml was chosen on the basis of receiver operating characteristics and multivariate Cox regression analysis for the cut-off levels of 50, 75, 100, 125, and 150 U/ml. An intra-assay variance of <10% and an inter-assay variance of <20% was indicated by the manufacturer. No significant differences were observed in sCD30 values in sera of 10 chronic dialysis patients collected at four different time points (first value, 74 ± 21 U/ml; 3 mo, 85 ± 25 U/ml; 6 mo, 84 ± 24 U/ml; 9 mo, 84 ± 22 U/ml). Moreover, sera of five dialysis patients obtained before, during (2.5 h after begin), and immediately after dialysis during two subsequent dialysis cycles did not show significant changes in the sCD30 values. sCD30 values of dialyzed and nondialyzed end-stage renal disease patients did not differ significantly (adults, 73 ± 1 [n = 3631] versus 77 ± 7 [n = 40], P = 0.2792; young patients, 189 ± 8 [n = 210] versus 212 ± 34 [n = 6], P = 0.4285). To rule out an effect of variations in sera handling at different centers, the effect of repeated serum thawing or storage conditions was tested using the sera of six different patients with different sCD30 values. Five thawing cycles and storage at 4°C for 1 to 3 d did not affect serum sCD30 values (72 ± 16 versus 73 ± 17, and 72 ± 16 versus 72 ± 15, respectively).

The results were entered into the Collaborative Transplant Study database (13) and connected with previously registered information on the transplants in a blinded manner. Ninety-three percent of the patients studied received cyclosporine-based immunosuppression. The demographic characteristics of the recipients are summarized in Table 1. HLA typings and panel reactive lymphocytotoxic antibody determinations were performed at the tissue typing laboratories of participating centers. Patients with >=5% antibody reactivity against a randomly chosen lymphocyte test panel were categorized as sensitized. Information on recipient or donor HLA-A+B+DR typing was missing in 85 cases, on PRA in 240 cases, and on recipient age in 12 cases. Information on graft function and patient survival was documented at 3 and 6 mo and at 1, 2, 3, 4, and 5 yr. Actuarial survival rates were computed according to the Kaplan-Meier method (14) and are expressed as % ± SEM. Log-rank test, Mann-Whitney U test, Spearman rank-correlation, Fisher’s exact test, {chi}2, receiver operating characteristics, and multivariate Cox regression were used for statistical analyses.


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Table 1. Demographic characteristics of kidney graft recipients
 

    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 
When the recipients were separated into two groups according to their pretransplant serum sCD30 content, 2998 recipients with a low sCD30 of <100 U/ml had a 5-yr graft survival rate of 75 ± 1% compared with a 64 ± 2% rate in 901 recipients with a high sCD30 of >=100 U/ml (P < 0.0001) (Figure 1). An analysis of death-censored functional graft survival showed that sCD30 was associated primarily with graft failure (low sCD30, 83 ± 1% versus high sCD30, 73 ± 2%; P < 0.0001). The influence of pretransplant sCD30 on patient survival was only marginal (low sCD30, 88 ± 1% versus high sCD30, 85 ± 1%; P = 0.0389) (Figure 2).



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Figure 1. Association of soluble CD30 (sCD30) content in pretransplant serum with cadaver kidney graft survival. Recipients with low serum sCD30 had a significantly better graft survival rate than recipients with high sCD30 (P < 0.0001). Numbers of patients studied are indicated.

 


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Figure 2. Association of sCD30 content in pretransplant serum with (A) functional kidney graft survival. In this analysis, death with a functioning graft was not counted as graft failure (censored). (B) Patient survival. Functional graft survival was significantly influenced by pretransplant sCD30 (high versus low, P < 0.0001). Only a marginal effect of sCD30 was observed on patient survival (high versus low, P = 0.0389).

 
A total of 546 regraft recipients had a higher serum sCD30 content than 3353 first graft recipients (mean ± SEM, 93 ± 3 U/ml versus 77 ± 1 U/ml; P < 0.0001), and 695 presensitized (PRA >=5%) patients had a higher serum sCD30 content than 2964 nonsensitized (<5% PRA) patients (mean ± SEM, 84 ± 2 U/ml versus 77 ± 1 U/ml; P < 0.0001). As shown in Table 2, the sCD30 effect on graft survival was present in regraft recipients (low versus high sCD30, P = 0.0077) as well as in first graft recipients (P < 0.0001), in presensitized patients (P = 0.0003) as well as in nonsensitized patients (P < 0.0001), and in patients who received a well-matched kidney with 0 to 1 HLA-A+B+DR mismatches (P = 0.0006) as well as in patients who received a poorly matched kidney with four to six mismatches (P < 0.0001). The association of serum sCD30 content with serum PRA appeared to be marginal (first grafts, r = 0.085; retransplants, r = -0.017; <20 yr old, r = -0.165; >=20 yr old, r = 0.111), whereas, as shown in Figure 3, the effects of the two parameters on graft outcome were additive.


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Table 2. Pretransplant sCD30 serum content and kidney graft survival
 


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Figure 3. Combined effect of serum sCD30 content and lymphocytotoxic panel reactivity (PRA) on kidney graft survival. sCD30-positive and PRA-positive recipients (sCD30+/PRA+) had a significantly impaired graft outcome, compared with sCD30-negative and PRA-negative (sCD30-/PRA-), sCD30-negative and PRA-positive (sCD30-/PRA+), or sCD30-positive and PRA-negative recipients (sCD30+/PRA-) (P < 0.0001, P = 0.0003, and P = 0.0048, respectively).

 
A total of 3671 adult (>=20 yr old) kidney graft recipients had a significantly higher serum sCD30 content before transplantation than 50 age- and gender-matched adult healthy controls (73 ± 1 U/ml versus 22 ± 1 U/ml; P < 0.0001). An exceptionally high serum sCD30 content was observed in 216 recipients younger than 20 yr (190 ± 8 U/ml [P < 0.0001] compared with adult recipients). Among these young recipients, 75% had a high sCD30 of >100 compared with only 20% of adult recipients (P < 0.0001). Due to the relatively small number of pediatric patients in the series, the graft survival difference between recipients with low or high sCD30 did not reach statistical significance in patients younger than 20 yr (P = 0.0906); however, the numerical difference between the graft survival rates, and thus the clinical impact, was similar in young and adult recipients (Table 2).

Semilogarithmic data conversion showed that, after the first posttransplant year, patients with a high pretransplant serum sCD30 continued to lose grafts at an increased constant rate during the 5-yr follow-up period. The death-censored half-life times for patients with high or low sCD30 were 20.5 yr and 29.4 yr, respectively (Figure 4). That the increased long-term failure rate in patients with high pretransplant sCD30 was in all likelihood attributable to more rejections was further supported by an analysis of the need for rejection treatment. When patients with functioning grafts at the end of the second posttransplant year were examined, those with a high pretransplant serum sCD30 had been treated for rejection during the preceding year significantly more often than patients with a low sCD30 (low, 5% versus high, 10%; P = 0.0003) (Figure 5A). Similarly, patients with functioning grafts at the end of the third year showed a trend toward more rejection treatments during the preceding year if they had a high pretransplant sCD30 (low, 3% versus high, 5%; P = 0.0538) (Figure 5B). Among patients who did not receive rejection treatment during the first year, recipients with a high sCD30 were treated significantly more often for rejection during the second year and had a lower 5-yr graft survival rate than recipients with a low sCD30 (rejection treatments: high, 8% versus low, 4% [P = 0.0012]; 5-yr graft outcome: high, 83 ± 2% versus low, 88 ± 1% [P = 0.0398]). A similar tendency was observed in patients who received rejection treatment during the first year but did not lose their grafts; however, the difference between patients with a high or low sCD30 did not reach statistical significance (rejection treatments during the second year: high, 12% versus low, 9% [P = 0.3463]; 5-yr graft outcome: high, 76 ± 4% versus low, 82 ± 2% [P = 0.1120]).



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Figure 4. Graft half-life for period after the first posttransplant year on the basis of 5-year follow-up. Death-censored analysis. The shorter half-life time in recipients with high sCD30 suggests a continuous effect of sCD30 on long-term graft outcome.

 


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Figure 5. Incidence of rejection treatment during the preceding year in patients with functioning grafts at the end of the second (A) or third (B) posttransplant year. Y, with rejection treatment; N, no rejection treatment. Recipients with a high pretransplant serum sCD30 were treated for rejection more often than patients with a low sCD30 (second year, P = 0.0003; third year, P = 0.0538).

 
Among 1283 patients who were treated with prophylactic antilymphocyte antibodies (ATG, ALG, or OKT3), recipients with a high pretransplant sCD30 had a 5-yr graft survival of 60 ± 3%, significantly worse than the 74 ± 2% rate in recipients with a low sCD30 (P < 0.0001), indicating that antilymphocyte antibodies did not improve graft outcome in patients with a high sCD30. Although the number of mycophenolate mofetil–treated patients with a sufficient follow-up was small, the sCD30 effect appeared less pronounced in these patients than in patients who received azathioprine (3-yr graft outcome, mycophenolate mofetil: low, 81 ± 3% [n = 160] versus high, 80 ± 5% [n = 74], P = 0.702; azathioprine: low, 82 ± 1% [n = 2007] versus high, 72 ± 2% [n = 588], P < 0.0001). Due to the small number of patients available for analysis with a high sCD30 (n = 16), the influence of tacrolimus on the sCD30 effect could not be analyzed.

To ascertain the validity of our observations and in the light of the observation that young patients tended to have higher sCD30 values, a multivariate Cox regression analysis was performed. Recipient and donor age and gender, year of transplantation, transplant number, number of HLA-A+B+DR mismatches, original disease, type of immunosuppression, panel-reactive lymphocytotoxic antibodies, number of transfusions, geographic origin, and cold ischemia time in hours were considered as co-variables. Compared with patients with a low sCD30, patients with an increased sCD30 showed a significantly increased risk ratio for graft loss (relative risk, 1.53; 95% confidence interval [CI], 1.31 to 1.79; P < 0.0001). For comparison, the risk ratio for graft loss was 1.27 (95% CI, 1.07 to 1.51) in presensitized patients (PRA of >=5%) as compared with nonsensitized patients (PRA <5%) (P = 0.0069), 1.01 (95% CI, 1.01 to 1.02) for each 1 yr change in donor age (<0.0001), and 1.35 in retransplant recipients as compared with recipients of first grafts (95% CI, 1.17 to 1.56; P = 0.0001).


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 
In current clinical practice, PRA is the only established immunologic parameter that provides clinically useful information concerning the responder status of a cadaver kidney recipient. For recipients without PRA, a categorization into high or low immunologic risk is not possible. In this large series of nearly 3900 kidney transplants performed at 29 centers, we were able to demonstrate that pretransplant determination of the Th2-type activation marker sCD30 is a powerful indicator for estimating the risk of graft rejection not only in presensitized but also in nonsensitized recipients. Patients possessing both PRA and high sCD30 in their pretransplant serum had a particularly poor graft outcome. From the data shown in Table 2, it is evident that, from a clinical viewpoint, sCD30 is at least as relevant as PRA. Serum sCD30 determinations are easy to perform and, although there are differences in the sensitivity of different commercially available ELISA kits, the results obtained with the same kit are highly reproducible with a between-run variation coefficient of 4 to 15% (15). Unfortunately, we did not have histopathologic information on posttransplant humoral rejections to investigate whether patients with a high sCD30 are more prone to antibody-mediated or cellular-type rejection. The half-life time estimates depicted in Figure 4 as well as the higher rates of rejection treatment shown in Figure 5 suggest that sCD30 is not only an indicator of early acute rejection but also of chronic allograft nephropathy.

Whereas the Th1-type cytokines interleukin-2 (IL-2) and interferon-{gamma} (INF-{gamma}) are capable of activating macrophages as well as CD4+ and CD8+ T cells, the Th2-type cytokines IL-4 and IL-10 are capable of inhibiting Th1-type immune responses (8). It was therefore hypothesized that a Th2-type immune response may be graft protective by blocking the graft damaging Th1-type anti-donor response (16). Our data show evidence to the contrary, namely poor graft survival in patients with high levels of sCD30, a product of Th2-type cytokine producing lymphocytes.

Presensitized patients are preferentially transplanted with HLA well-matched kidneys and receive stronger posttransplant immunosuppression, including prophylactic treatment with antilymphocyte antibodies (1,2,4). Whether recipients with high sCD30 would profit from receiving especially potent immunosuppression could not be answered conclusively. However, our data show that even among patients who were treated with prophylactic antilymphocyte antibodies (ATG or OKT3), those with a high pretransplant sCD30 fared significantly worse than those with a low sCD30. Thus, to improve graft outcome in patients with a high sCD30, other strategies seem to be necessary, possibly immunosuppressive regimens that specifically inhibit CD30+ T cells. Treatment with mycophenolate mofetil instead of azathioprine appears promising; however, the number of patients with sufficient follow-up was too small for a conclusive statement.

Although patients with end-stage renal disease show severe alterations of the immune system, including defective antigen presentation and constantly present Th1-type cytokine-mediated chronic inflammation (17), it remains unknown why dialysis patients generally have increased sCD30 in their serum. The majority of chronic dialysis patients are incapable of generating an intact immune response against specific stimuli. Interestingly, the small fraction of patients who are capable of producing high amounts of the Th2-type cytokine IL-10 compensate this immune defect (17), suggesting that IL-10 promotes the generation of specific immune responses by inhibiting the unspecific proinflammatory Th1 response. In line with these findings, Gerli et al. (18) observed in rheumatoid arthritis patients with increased serum sCD30 that synovial CD30+ T cells secreted high amounts of IL-4 and IL-10. In contrast to patients with low serum sCD30, these patients responded well to so-called second-line anti-rheumatic therapy, suggesting that increased serum sCD30 reflects the presence of IL-10–producing CD30+ T cells that are able to downmodulate the inflammation caused by Th1-type immune responses (19). It is therefore reasonable to speculate that, among patients with end-stage renal disease, only those with high sCD30 may be capable of producing IL-10, which inhibits the unspecific chronic inflammatory Th1-type immune response and thereby allows generation of an effective alloimmune response against the graft. This contention is supported by our previous finding that patients with a high pretransplant IL-10–dominated Th2-type immune response had a poor kidney graft outcome (20).

In line with recent observations (12,15), we found strikingly higher serum sCD30 levels in young kidney graft recipients than in adult recipients in the present study, which might serve as a possible explanation for the generally observed increased rate of acute graft rejection in young patients. The increased serum sCD30 levels in presensitized patients and regraft recipients indicate that elevated sCD30 is associated with increased alloreactivity. In line with these findings is the work of Martinez et al. (21), who identified CD30+ T cells as the major {gamma}-interferon and IL-5 cytokine-producing human T lymphocyte subset generated in response to stimulation with alloantigens. Despite the close relationship of sCD30 with Th2-type immune responses, it is conceivable that CD30+ T cell activation represents a novel graft rejection pathway in which both Th1- and Th2-type cytokines are involved. More studies are needed to clarify the role, origin, and characteristics of sCD30 and CD30+ T cells in alloimmune responses. An intriguing unresolved question is whether elevated sCD30 results from a genetic tendency toward high CD30+ T cell activation or whether sCD30 production is triggered by immunologic events that the patient experienced in the past.

In conclusion, this study demonstrates that the pretransplant serum sCD30 content is a clinically useful parameter for the identification of high responders in kidney transplantation. Pretransplant sCD30 testing may contribute further to the selection of appropriate immunosuppressive regimens in high-risk recipients for the prevention of acute graft rejection and chronic allograft nephropathy.


    Appendix
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 
Sera for this multicenter study were provided by transplantation centers in the following cities: Barcelona, Spain (Dr. Jaume Martorell, n = 49); Berlin, Germany (Dr. Constanze Schönemann, n = 336); Budapest, Hungary (Dr. Agnes Padanyi, n = 111); Cardiff, United Kingdom (Dr. Timothy J. Rees, n = 173); Dallas, Texas (Dr. Peter Stastny, n = 3); Essen, Germany (Dr. Uwe Vögeler, n = 94); Freiburg, Germany (Dr. Helmut Lang, n = 8); Geneva, Switzerland (Dr. Michel Jeannet, n = 86); Glasgow, United Kingdom (Dr. Alex M. Farrell, n = 343); Heidelberg, Germany (Dr. Manfred Wiesel, n = 589); Helsinki, Finland (Dr. Saija Koskimies, n = 486); Lexington, Kentucky (Dr. John S. Thompson, n = 82); Lausanne, Switzerland (Dr. Vincent Aubert, n = 57); Leicester, United Kingdom (Dr. Terry Horsburgh, n = 95); Liege, Belgium (Dr. Claire Bouillenne, n = 68); Ljubljana, Slovenia (Dr. Mateja Bohinjec, n = 47); Mannheim, Germany (Dr. Peter Schnülle, n = 46); Marburg, Germany (Dr. Harald Lange, n = 54); Munich, Germany (Dr. Siegfried Scholz, n = 13); New York, New York (Dr. Marilena Fotino, n = 35); Phoenix, Arizona (Dr. Theona M. Vyvial, n = 93); Prague, Czech Republic (Dr. Eva Ivaskova, n = 128); Quebec, Canada (Dr. Reynald Roy, n = 353); Reims, France (Dr. Jacques H. Cohen, n = 172); Rijeka, Croatia (Dr. Ksenija Vujaklija-Stipanovic, n = 45); Rio de Janeiro, Brazil (Dr. Maria E. Goncalves De Freitas, n = 77); Strasbourg, France (Dr. Marie-Marthe Tongio, n = 78); Sydney, Australia (Dr. Trevor Doran, n = 129); Zagreb, Croatia (Dr. Adrija Kastelan, n = 49).


    Acknowledgments
 
We wish to thank Martina Stolp, Nicole Schach, and Christine Matheis for excellent technical assistance, Andrea Ruhenstroth and Gunter Laux for assistance with the computer analysis, and staff members at the participating laboratories and clinical units for supplying us with sera and clinical follow-up data. This study was supported in part by a grant of Forschungsschwerpunkt Transplantation Heidelberg.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 Appendix
 References
 

  1. Vela C, Cristol JP, Chong G, Okamba A, Lorho R, Mion C, Mourad G: Antilymphocyte globulins versus OKT3 as prophylactic treatment in highly sensitized renal transplant recipients. Transpl Int 7 [Suppl 1]: S259–S262, 1994
  2. Opelz G: Efficacy of rejection prophylaxis with OKT3 in renal transplantation. Collaborative Transplant Study. Transplantation 60: 1220–1224, 1995[Medline]
  3. Shenton BK: The detection and relevance of pretransplant antibodies. Transpl Immunol 2: 135–137, 1994[CrossRef][Medline]
  4. Opelz G, Wujciak T: Cadaveric kidneys should be allocated according to the HLA match. Transplant Proc 27: 93–99, 1995[Medline]
  5. Durkop H, Latza U, Hummel M, Eitelbach F, Seed B, Stein H: Molecular cloning and expression of a new member of the nerve growth factor receptor family that is characteristic for Hodgkin’s disease. Cell 68: 421–427, 1992[CrossRef][Medline]
  6. Del Prete G, De Carli M, Almerigogna F, Daniel CK, D’Elios MM, Zancuoghi G, Vinante F, Pizzolo G, Romagnani S: Preferential expression of CD30 by human CD4+ T cells producing Th2-type cytokines. FASEB J 9: 81–86, 1995[Abstract]
  7. Romagnani S, Del Prete G, Maggi E, Chilosi M, Caligaris-Cappio F, Pizzolo G: CD30 and type 2 T helper (Th2) responses. J Leukoc Biol 57: 726–730, 1995[Abstract]
  8. Del Prete G: The concept of type-1 and type-2 helper T cells and their cytokines in humans. Int Rev Immunol 16: 427–455, 1998[Medline]
  9. Frezzolini A, Paradisi M, Ruffelli M, Cadoni S, De Pita O: Soluble CD30 in pediatric patients with atopic dermatitis. Allergy 52: 106–109, 1997[Medline]
  10. Pizzolo G, Vinante F, Morosato L, Nadali G, Chilosi M, Gandini G, Sinicco A, Raiteri R, Semenzato G, Stein H, Perona G: High serum level of the soluble form of CD30 molecule in the early phase of HIV-1 infection as an independent predictor of progression to AIDS. AIDS 8: 741–745, 1994[Medline]
  11. McMillan SA, McDonnell GV, Douglas JP, Droogan AG, Hawkins SA: Elevated serum and CSF levels of soluble CD30 during clinical remission in multiple sclerosis. Neurology 51: 1156–1160, 1998[Abstract/Free Full Text]
  12. Pelzl S, Opelz G, Wiesel M, Schnülle P, Schönemann C, Döhler B, Süsal C: Soluble CD30 as a predictor of kidney graft outcome. Transplantation 73: 3–6, 2002[CrossRef][Medline]
  13. Collaborative Transplant Study, University of Heidelberg, Germany, Web site. Available at: www.ctstransplant.org. Accessed April 23, 2002
  14. Kaplan EL, Meier P: Nonparametric estimation from incomplete observations. J Am Stat Assoc 53: 457–481, 1958[CrossRef]
  15. Barbano G, Cappa F, Prigione I, Pistoia V, Cohen A, Chiesa S, Gusmano R, Perfumo F: Plasma levels of soluble CD30 are increased in children with chronic renal failure and with primary growth deficiency and decrease during treatment with recombination human growth hormone. Nephrol Dial Transplant 6: 1807–1813, 2001
  16. Strom TB, Roy-Chaudhury P, Manfro R, Zheng XX, Nickerson PW, Wood K, Bushell A: The Th1/Th2 paradigm and the allograft response. Curr Opin Immunol 8: 688–693, 1996[CrossRef][Medline]
  17. Girndt M, Sester M, Sester U, Kaul H, Kohler H: Molecular aspects of T- and B-cell function in uremia. Kidney Int 59 [Suppl 78]: S206–S211, 2001
  18. Gerli R, Pitzalis C, Bistoni O, Falini B, Costantini V, Russano A, Lunardi C: CD30+ T cells in rheumatoid synovitis: Mechanisms of recruitment and functional role. J Immunol 164: 4399–4407, 2000[Abstract/Free Full Text]
  19. Gerli R, Bistoni O, Lunardi C, Giacomelli R, Tomassini C, Biagini P, Pitzalis C: Soluble CD30 in early rheumatoid arthritis as a predictor of good response to second-line therapy. Rheumatology 38: 1282–1284, 1999[Abstract/Free Full Text]
  20. Weimer R, Zipperle S, Daniel V, Carl S, Staehler G, Opelz G: Pretransplant CD4 helper function and interleukin 10 response predict risk of acute kidney graft rejection. Transplantation 62: 1606–1614, 1996[CrossRef][Medline]
  21. Martinez OM, Villanueva J, Abtahi S, Beatty PR, Esquivel CO, Krams SM: CD30 expression identifies a functional alloreactive human T-lymphocyte subset. Transplantation 65: 1240–1247, 1998[CrossRef][Medline]
Received for publication December 14, 2001. Accepted for publication February 1, 2002.




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C. Ponticelli
Renal transplantation 2004: where do we stand today?
Nephrol. Dial. Transplant., December 1, 2004; 19(12): 2937 - 2947.
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