Literature DB >> 26554788

Immunologic Monitoring of T-Lymphocyte Subsets and Hla-Dr-Positive Monocytes in Kidney Transplant Recipients: A Prospective, Observational Cohort Study.

Jang-Hee Cho1, Young-Deuk Yoon, Hye Min Jang, Eugene Kwon, Hee-Yeon Jung, Ji-Young Choi, Sun-Hee Park, Yong-Lim Kim, Hyung-Kee Kim, Seung Huh, Dong-Il Won, Chan-Duck Kim.   

Abstract

The clinical significance of circulating T-lymphocyte subsets and human leukocyte antigen (HLA)-DR-positive monocytes in the peripheral blood of kidney transplant recipients (KTRs) remains unclear. We examined the efficacy of enumerating these cells for the immunologic monitoring of KTRs.Blood samples were obtained before transplantation, 2 weeks after transplantation and at diagnosis, and 2 weeks after treating biopsy-proven acute cellular rejection and cytomegalovirus (CMV) infection. Serial flow cytometric analysis was performed using peripheral blood obtained from 123 patients to identify the frequencies of HLA-DR, CD3, CD4, CD8, and CD25 T-lymphocytes and HLA-DR-positive monocytes.Frequencies of CD4CD25/CD4 T cells, CD8CD25/CD8 T cells, and HLA-DR-positive monocytes were significantly lower at 2 weeks after transplantation than before transplantation (all P < 0.001). This decrease was not correlated with clinical parameters. The frequency of CD4CD25/CD4 T cells was significantly higher in KTRs with acute rejection than in KTRs at 2 weeks after transplantation (9.10% [range 4.30-25.6%] vs 5.10% [range 0.10-33.3%]; P = 0.024). However, no significant differences were observed between stable KTRs and KTRs with CMV infection. Analysis of the receiver operating characteristic curve adjusted by covariates showed that acute rejection could be predicted with 75.0% sensitivity and 68.4% specificity by setting the cutoff value of CD4CD25/CD4 T cell frequency as 5.8%.Circulating T-lymphocyte and monocyte subsets showed significant and consistent changes in their frequencies after immunosuppression. Of the various immune cells examined, circulating levels of CD4CD25 T cells might be a useful noninvasive immunologic indicator for detecting acute rejection.

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Year:  2015        PMID: 26554788      PMCID: PMC4915889          DOI: 10.1097/MD.0000000000001902

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


INTRODUCTION

Kidney transplantation is a curative treatment for patients with end-stage renal disease (ESRD). Outcomes of kidney transplant recipients (KTRs) have improved with the introduction of more potent immunosuppressive agents. However, patient and allograft survival after kidney transplantation are greatly affected by acute rejection and opportunistic infections.[1] Optimal dosage of immunosuppressive agents must be prescribed to prevent the occurrence of these adverse events. In addition, a clinically applicable and relevant immunologic monitoring test is needed for diagnosing these events in the earliest phase. T-lymphocytes play immunomodulatory roles in kidney transplantation. T-lymphocytes interact with antigen-presenting cells and modulate T cells through various signals. The most important signal is derived from the contact of T cell receptor–CD3 with a major histocompatibility complex (MHC)–peptide complex. However, various other signaling molecules expressed on T cells also influence the activation and differentiation of T cells into effector or regulatory cells.[2] These activated T cells participate in the initiation and maintenance of allograft rejection.[3] Previous immunohistologic analyses have shown that many monocyte-derived chemotactic transcripts such as tumor necrosis factors (TNF)-α, macrophage inflammatory protein-1α, and regulated on activation, normal T cell expressed and secreted are amplified,[4] and human leukocyte antigen (HLA)-DR expression is increased in allograft biopsies from patients with acute rejection.[5-7] Intensity of monocyte infiltration into the allograft and HLA-DR expression are correlated with the degree of allograft dysfunction during a rejection episode in KTRs.[8] In addition, transplant patients with decreased HLA-DR expression on monocytes are at a high risk of various infections such as cytomegalovirus (CMV) infection.[9] Although a few studies on transplant models have reported an association of activated T cells[10-12] and monocytes[13,14] with alloimmune state, the clinical significance of these cells in the peripheral blood remains unclear. The present study evaluated the changes in T cell and monocyte subsets in various post-transplant situations, including acute rejection and CMV infection, and validated the efficacy of measuring these cells for the immunologic monitoring of KTRs.

MATERIALS AND METHODS

Study Population

This study included adult patients aged ≥20 years who underwent ABO-compatible single-organ kidney transplantation from a living or deceased donor. Patients receiving immunosuppressive therapy within the preceding month; patients with a history of malignant disorders besides nonmelanotic skin cancer within the preceding 5 years; patients who experienced a serious injury or who underwent a major surgery within the preceding month; patients with an active infection, including HIV and viral hepatitis; and patients with autoimmune or hematologic disorders were excluded from the study. All the patients provided written informed consent before enrollment. The study protocol was reviewed and approved by the institutional review board of Kyungpook National University Hospital (Daegu, Korea).

Immunosuppressive Treatment

All the patients received an induction treatment with anti-interleukin-2 receptor (IL-2R) antibody. Immunosuppressive treatment after kidney transplantation was based on standard triple therapy, including corticosteroid, calcineurin inhibitor (CNI), and mycophenolate mofetil. Corticosteroid treatment included 500 mg intravenous methylprednisolone at the time of surgery; this was tapered to 5 mg/day oral prednisolone after 6 months. Tacrolimus trough level was adjusted to 8 to 12 ng/mL in the first 3 months and to 5 to 8 ng/mL thereafter. Cyclosporine trough level was adjusted to 250 to 300 ng/mL in the first 3 months and 100 to 150 ng/mL thereafter. Mycophenolate mofetil was given daily at a fixed dose of 1.0 ∼ 2.0 g.

Study Design

This prospective, observational, and single-center study evaluated the efficacy of immunologic monitoring for diagnosing acute cellular rejection and CMV infection. Peripheral blood samples of living donor kidney transplantation were obtained 1 week before transplantation and 2 weeks after transplantation. In case of deceased donor kidney transplantation, blood samples were collected on the day of transplantation before administering immunosuppressive agents and 2 weeks after transplantation. During the follow-up period, additional blood samples were taken at diagnosis and 2 weeks after treating the clinical end points, that is, biopsy-proven acute cellular rejection and CMV infection. The diagnosis of acute cellular rejection was confirmed by allograft biopsy with at least grade 1 rejection by Banff classification.[15] Patients showing acute cellular rejection were treated using pulsed intravenous steroid therapy (0.5 g methylprednisolone daily for 3 days), which was later tapered to a maintenance dose. CMV infection was diagnosed by directly detecting CMV proteins (pp65) in peripheral blood leukocytes or tissue biopsy. Patients with CMV infection were treated with ganciclovir. Doses of ganciclovir were reduced according to renal function. Clinical data were collected during the course of each clinical end point. Changes in T-lymphocyte subsets and HLA-DR-positive monocytes were evaluated 2 weeks after transplantation. Results of flow cytometric analysis at the time of acute cellular rejection and CMV infection were compared with those after transplantation.

Flow Cytometric Analysis of T Cell and Monocyte Subsets

CD3+, CD4+, CD8+, CD25+, and HLA-DR+ T-lymphocytes and HLA-DR-positive monocytes in the peripheral blood were analyzed by performing flow cytometry. Whole blood samples were stained with fluorochrome-conjugated monoclonal antibodies in the dark for 20 minutes at room temperature. The following antibodies were used: anti-CD25-FITC (clone M-A251), anti-CD8-PE-Cy5 (clone HIT8a), anti-CD3-PE (clone UCHT1), anti-CD4-PE-Cy5 (clone RPA-T4), anti-CD14-PE (clone MϕP9), and anti-HLA-DR-FITC (clone TU36) antibodies (BD Biosciences, San Jose, CA). Values were expressed as percentage and mean fluorescence intensity (MFI). After incubation, RBCs were lysed in a lysis solution (DN RBC Lysis Buffer; DiNonA Inc., Seoul, Korea). The cells were washed once with phosphate-buffered saline, resuspended, examined using FACSCalibur flow cytometer, and analyzed using CellQuest software (all from BD Biosciences).

Statistical Analysis

The sample size of the study was calculated from the previous data of CD4+CD25+ T cells in which mean CD4+CD25+ T cell (standard deviation) frequencies were 1.64% (0.84%) and 14.2% (8.8%) in the no rejection and rejection groups, respectively.[16] Six patients in each group were required to detect a difference of CD4+CD25+ T cell frequency with a power of 0.8 and type I error of 0.05 using the 2-sided Mann–Whitney U test (G∗Power program version 3.1.9.2; Franz Paul, Kiel, Germany). Assuming that the incidence of acute rejection was about 6% in our center and drop-out rate was 10%, we enrolled at least 120 KTRs for the present study. Data were described as median (range) or frequency (percentage). Differences in T lymphocyte subsets and monocyte percentages between groups were compared using the Mann–Whitney U test for 2 groups and Kruskal–Wallis test for more than 3 groups, as all parameters were not distributed normally. Wilcoxon signed rank test was used to compare T lymphocyte subsets and monocyte percentages before and after kidney transplantation. Receiver operating characteristic (ROC) curve was used for analyzing the optimal percentage of T cell subsets for determining cutoff points that yielded the highest sensitivity and specificity to distinguish an episode of acute cellular rejection. The ROC curve analysis was then adjusted by sex, age, donor type, underlying kidney disease, type of calcineurin inhibitor, and mismatch number.[17] SPSS version 19.0 (SPSS, Chicago, IL) and SAS system for Windows, version 9.2 (SAS Institute Inc., Cary, NC) were used in performance of statistical analyses. A P value less than 0.05 was considered statistically significant.

RESULTS

The present study included 123 consecutive KTRs (76 men and 47 women; median age of 46 [range 24–67] years). The most common cause of ESRD among these patients was chronic glomerulonephritis (61.8%). All the patients had received their first transplant, except 1 patient who had undergone a second transplant. The median follow-up period after transplantation was 55.0 (range 3.4–93.8) months. In all, 115 (93.5%) patients received triple-therapy regimen with tacrolimus and 8 (6.5%) patients received triple-therapy regimen with cyclosporine. A summary of the demographic characteristics of the enrolled KTRs is provided in Table 1.
TABLE 1

Demographic Characteristics of Kidney Transplant Recipients

Demographic Characteristics of Kidney Transplant Recipients Baseline frequencies of T-lymphocyte subsets and HLA-DR-positive monocytes are summarized in Table 2. Comparisons of the frequencies of these cells according to recipient sex, recipient age, donor type, and cause of ESRD showed no significant difference between the groups. Frequencies of CD4+CD25+/CD4+ T cells, CD8+CD25+/CD8+ T cells, and HLA-DR-positive monocytes were significantly lower at 2 weeks after transplantation than before transplantation (11.95% [range 0.50–29.40%] vs 5.10% [range 0.10–33.3%], 0.90% [range 0.00–5.80%] vs 0.60% [range 0.00–7.70%], and 99.0% [range 81.0–100%] vs 98.0% [range 87.0–100%], respectively; all P < 0.001). Median MFI of monocytes was also significantly decreased after transplantation (313.5 [range 70.0–666.0] vs 198.0 [range 66.0–520.0], P < 0.001). However, no significant change was observed in the percentages of CD4+DR+/CD4+ and CD8+DR+/CD8+ T cells after transplantation (Fig. 1).
TABLE 2

Comparison of the Baseline Phenotypes of T-Lymphocyte Subsets and HLA-DR-Positive Monocytes Before Kidney Transplantation

FIGURE 1

Changes in T-lymphocyte subsets and HLA-DR-positive monocytes before and after transplantation. Median, interquartile range (boxes), and range (whiskers) are shown. Frequencies of CD4+CD25+/CD4+ T cells, CD8+CD25+/CD8+ T cells, and HLA-DR-positive monocytes and MFI of monocytes were significantly lower at 2 weeks after transplantation than before transplantation. However, the percentages of CD4+DR+/CD4+ and CD8+DR+/CD8+ T cells were not significant different before and after transplantation; ∗P < 0.001 compared with percentages before transplantation. KT = kidney transplantation.

Comparison of the Baseline Phenotypes of T-Lymphocyte Subsets and HLA-DR-Positive Monocytes Before Kidney Transplantation Changes in T-lymphocyte subsets and HLA-DR-positive monocytes before and after transplantation. Median, interquartile range (boxes), and range (whiskers) are shown. Frequencies of CD4+CD25+/CD4+ T cells, CD8+CD25+/CD8+ T cells, and HLA-DR-positive monocytes and MFI of monocytes were significantly lower at 2 weeks after transplantation than before transplantation. However, the percentages of CD4+DR+/CD4+ and CD8+DR+/CD8+ T cells were not significant different before and after transplantation; ∗P < 0.001 compared with percentages before transplantation. KT = kidney transplantation. We investigated the association of the clinical parameters of the KTRs with the frequencies of immune cells after kidney transplantation. We observed that recipient sex, recipient age, donor type, number of HLA mismatches, and immunosuppressive agent were not correlated with the frequencies of T-lymphocyte subsets and HLA-DR-positive monocytes (Table 3).
TABLE 3

Association of Clinical Parameters With the Phenotypes of T-Lymphocyte Subsets and HLA-DR-Positive Monocytes After Kidney Transplantation

Association of Clinical Parameters With the Phenotypes of T-Lymphocyte Subsets and HLA-DR-Positive Monocytes After Kidney Transplantation During the follow-up period after transplantation, 12 patients were diagnosed with acute cellular rejection, 4 patients with CNI toxicity, and 5 patients with no specific pathology by allograft biopsy. A comparison of the baseline characteristics of the patients is summarized in Table 2. No significant differences were observed between patients with acute rejection and those without acute rejection. Median creatinine level at the diagnosis of acute rejection was 3.06 (range 1.71–8.50) mg/dL. The frequency of CD4+CD25+/CD4+ T cells was significantly higher in KTRs with acute rejection than in KTRs at 2 weeks after transplantation (9.10% [range 4.30–25.6%] vs 5.10% [range 0.10–33.3%]; P = 0.024). In addition, the frequency of CD4+CD25+/CD4+ T cells was significantly higher in KTRs with acute rejection than in KTRs with CNI toxicity and without specific pathology (3.95% [range 1.80–5.60%] and 3.80% [range 1.60–5.60%]; P = 0.045 and P = 0.006, respectively). All the patients with acute rejection were treated using steroid pulse therapy, except 1 patient who was refractory to steroid treatment and was treated using anti-thymoglobulin antibody. The frequency of CD4+CD25+/CD4+ T cells was lower at 2 weeks after steroid pulse therapy than at the diagnosis of acute rejection; however, the difference was not statistically significant (7.4% [range 1.80–12.2%] vs 9.10% [range 4.30–25.6%], P = 0.320; Table 4). There were 9 acute cellular rejections with Banff grade 1A, 1 rejection with grade 1B, and 2 rejections with grade 2A. However, the frequency of CD4+CD25+ T cell was not associated with the severity of acute cellular rejection (data not shown).
TABLE 4

Comparisons of Clinical Characteristics in Patients With Acute Rejection and CMV Infection

Comparisons of Clinical Characteristics in Patients With Acute Rejection and CMV Infection Analysis using the ROC curve showed that acute rejection could be predicted with 75.0% sensitivity and 43.0% specificity by setting the cutoff value of CD4+CD25+/CD4+ T cell frequency at 4.8%. ROC analysis adjusted by confounding variables showed comparable predictability, with 75.0% sensitivity and 68.4% specificity using a cutoff value of 5.8% frequency of CD4+CD25+/CD4+ T cells. The areas under the curves of CD4+CD25+/CD4+ T cell frequency for predicting acute rejection were 0.704 and 0.764, respectively, demonstrating that CD4+CD25+/CD4+ T cell frequency could be considered as a fair predictor of acute rejection (Fig. 2).[18]
FIGURE 2

Analysis using the receiver-operating characteristic curve (ROC). The calculated area under the curve (AUC) was 0.704 for CD4+CD25+/CD4+ T cells. Acute rejection could be predicted with a sensitivity of 75.0% and a specificity of 43.0% using a cutoff value of 4.8% frequency of CD4+CD25+/CD4+ T cells (A). ROC analysis adjusted by confounding variables revealed the comparable predictability with a sensitivity of 75.0% and a specificity of 68.4% using a cutoff value of 5.8% frequency of CD4+CD25+/CD4+ T cells (AUC = 0.764) (B).

Analysis using the receiver-operating characteristic curve (ROC). The calculated area under the curve (AUC) was 0.704 for CD4+CD25+/CD4+ T cells. Acute rejection could be predicted with a sensitivity of 75.0% and a specificity of 43.0% using a cutoff value of 4.8% frequency of CD4+CD25+/CD4+ T cells (A). ROC analysis adjusted by confounding variables revealed the comparable predictability with a sensitivity of 75.0% and a specificity of 68.4% using a cutoff value of 5.8% frequency of CD4+CD25+/CD4+ T cells (AUC = 0.764) (B). Five patients developed CMV infection (as defined above) after transplantation. Of these 5 patients, 3 had CMV colitis, 1 had CMV gastritis, and 1 had CMV pneumonitis. Before transplantation, the serostatus of all recipients and donors showed positivity for anti-CMV immunoglobulin G. Intravenous ganciclovir was administered to all patients for a median of 15 (range 5–30) days. Significant differences were not observed in the frequencies of T-lymphocytes and HLA-DR-positive monocytes between KTRs at 2 weeks after transplantation and those with CMV infection. The frequency of CD4+CD25+/CD4+ T cells also did not show a significant interval change before and after ganciclovir treatment (data not shown) Table 5.
TABLE 5

Comparison of the Frequency of Circulating CD4+CD25+/CD4+ T Cells Among Different Groups

Comparison of the Frequency of Circulating CD4+CD25+/CD4+ T Cells Among Different Groups

DISCUSSION

In this prospective study, we assessed the changes of lymphocyte and monocyte subsets in the peripheral blood of KTRs. The frequencies of CD4+CD25+/CD4+ T cells, CD8+CD25+/CD8+ T cells, and HLA-DR-positive monocytes significantly decreased after immunosuppression. These changes were not affected by baseline demographics or other immunologic factors. The frequency of CD4+CD25+ T cells increased at the diagnosis of acute cellular rejection and decreased after steroid pulse therapy. In ROC analysis, the frequency of CD4+CD25+/CD4+ T cells showed fair predictability for the diagnosis of acute rejection, even after adjustment of covariates. These findings suggested that circulating CD4+CD25+ T cells were a useful noninvasive immunologic indicator of acute rejection after transplantation. The present study revealed that the frequencies of CD8+CD25+/CD8+ T cells as well as CD4+CD25+/CD4+ T cells decreased after CNI-based regimen. The proportion of circulating CD4+CD25+ cells in patients with ESRD was comparable to that in healthy individuals.[19] After transplantation, anti-IL-2R antibody and CNIs prevent the acquisition of CD25 molecules and suppress the expansion of CD25+ cells by inhibiting the generation of IL-2.[20] IL-2Rα chain (also known as CD25) is a surface marker of activated T cells, which is a surviving factor for regulatory T cells.[21,22] Therefore, patients receiving CNIs or anti-IL-2R antibody show significantly fewer CD4+CD25+ cells than patients receiving sirolimus.[19] The results of the present study showed that CD4+CD25+ cells were not affected by demographic factors (such as sex, age, and cause of ESRD) and immunologic factors (such as donor type, number of HLA mismatches, and immunosuppressive agent). These findings are in accordance with those of a recent study that reported no significant association between clinical parameters and the frequency of CD4+CD25+ T cells after kidney transplantation. However, the frequency of CD4+CD25+ T cells is higher in patients with chronic liver disease than in patients with ESRD.[23] In addition, the frequencies of circulating CD4+CD25+ T cells differ according to the cause of chronic liver disease. Hepatitis B and alcoholic cirrhosis are associated with a higher frequency of CD4+CD25+ T cells than other conditions.[24,25] Therefore, consistent frequency of CD4+CD25+ T cells in patients with ESRD suggested that measurement of these cells was a promising monitoring tool, especially in the field of kidney transplantation. In experimental organ transplant models, CD4+CD25+ T cells inhibit allograft rejection by modulating allogeneic immune response.[10] Further, transfer of CD4+CD25+ T cells from a tolerant animal to an allograft may induce donor-specific transplant tolerance in the naіve animal.[11,12] However, the clinical significance of CD4+CD25+ T cells in acute rejection is controversial. In the present study, the frequency of circulating CD4+CD25+ T cells showed a significant association with acute cellular rejection. A cross-sectional study by Beik et al[16] also reported that the percentages of CD4+CD25+ and CD8+HLA/DR+ T cells were higher in patients with rejection than in patients without rejection. Because CD4+CD25+ T cells perform an immunosuppressive role, increased frequency of these cells might be a host defense mechanism to ameliorate cellular rejection and to prevent further injury. In contrast, Kim et al[23] reported an association between low frequency of CD4+CD25+ T cells and subclinical rejection diagnosed using protocol biopsy at 14 days after transplantation. This suggested that CD4+CD25+ T cells have different frequencies or perform different functions during subclinical rejection in the early post-transplantation period. Because protocol biopsy was not performed in the present study, the frequency of CD4+CD25+ T cells during subclinical rejection could not be determined. Therefore, further studies should be performed to measure the frequencies of CD4+CD25+ T cells in diverse clinical settings and post-transplantation periods to determine the optimal frequency of regulatory T cells in each condition. Activated CD4+CD25+ T cells do not always indicate regulatory or effector T cells. Several biomarkers have been introduced for identifying regulatory T cells, such as forkhead box P3 (FOXP3), cytotoxic T-lymphocyte antigen 4 (CTLA4), glucocorticoid-induced TNF receptor-related protein (GITR), and CD25.[26] Some surface markers are useful for identifying regulatory T cells in animal models.[27] However, human regulatory T cells are phenotypically heterogeneous and show activation-induced modulation of specific cell surface molecules,[28] indicating that a single surface marker cannot be used as a diagnostic tool. Although the present study evaluated only CD25 and HLA-DR as surface makers on activated cells, flow cytometric analysis showed that the immunologic monitoring of KTRs could serve as an important tool for diagnosing acute cellular rejection. Compared with conventional allograft biopsy, flow cytometry is a noninvasive, convenient, and rapid diagnostic technique that allows us to perform repeated measurements to estimate treatment response. However, whether the simple and inexpensive flow cytometry can be routinely used for monitoring rejection should be investigated in future studies involving larger number of patients. In addition, further studies with more specific surface markers for regulatory and effector T cells are needed to characterize the increased CD4+CD25+ T cells in acute rejection. Immunosuppressive therapy decreased HLA-DR expression after transplantation[29] as shown in the present study. Patients with CMV infection showed significantly decreased monocytic HLA-DR expression, which indicated a very high risk of subsequent bacterial or fungal superinfections.[9,30,31] Findings of the present study showed that the percentage and MFI of HLA-DR-positive monocytes decreased after transplantation. Our study was designed to monitor acute rejection and CMV infection simultaneously, which stand for under-and over-immunosuppressive states, respectively, with only a single immunologic test in KTRs. However, the changes in HLA-DR expression were not associated with acute rejection or CMV infection. Unlike the frequency of monocytes infiltrating allografts with acute rejection, the frequency of circulating HLA-DR-positive monocytes might not be a useful marker for detecting rejection. This might be related that the severity of CMV infection showed wide variation, as observed with the large deviation in treatment duration and the number of patients with CMV infection was relatively small, suggesting that the chance that this change was consistent was low. To the best of our knowledge, this is the first prospective study to compare the changes in T-lymphocyte and monocyte subsets and to validate the diagnostic value of immune cell monitoring in KTRs with acute rejection. However, our study has a limitation, in that CD4+CD25+ T cell infiltration in renal allografts was not investigated in patients with acute cellular rejection. Infiltration of regulatory T cells such as FOXP3-positive T cells has been detected in renal allografts.[32,33] However, allografts without any clinically detectable phenotype also showed T cell infiltration.[34,35] In addition, T cell infiltration was observed in allografts with normal function for a long period after rejection therapy.[36] Therefore, T cell infiltration is not an absolute indicator of acute cellular rejection. In addition, tissue infiltration of CD25+ T cells might not be a useful indicator of acute rejection because monitoring of tissue infiltration is not a clinically feasible tool compared with flow cytometric analysis. In conclusion, circulating T-lymphocyte and monocyte subsets showed significant and consistent changes in their frequencies after immunosuppression. Of the various immune cells examined, increased frequency of CD4+CD25+ T cells was associated with acute cellular rejection. Furthermore, CD4+CD25+/CD4+ T cell frequency was a fair predictor of acute rejection. Our results suggested that noninvasive immunologic monitoring of circulating CD4+CD25+ T cells was a useful method for diagnosing acute rejection in KTRs. However, a further study involving larger number of patients should be performed to confirm the diagnostic value of noninvasive monitoring and the potential role of evaluating treatment response to rejection therapy.
  35 in total

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Authors:  M Hara; C I Kingsley; M Niimi; S Read; S E Turvey; A R Bushell; P J Morris; F Powrie; K J Wood
Journal:  J Immunol       Date:  2001-03-15       Impact factor: 5.422

2.  Immune measures in alcohol-dependent persons with minor health abnormalities.

Authors:  Steven J Schleifer; Tonya Benton; Steven E Keller; Yesh Dhaibar
Journal:  Alcohol       Date:  2002-01       Impact factor: 2.405

Review 3.  Cells mediating allograft rejection.

Authors:  B M Hall
Journal:  Transplantation       Date:  1991-06       Impact factor: 4.939

Review 4.  Measuring the accuracy of diagnostic systems.

Authors:  J A Swets
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

5.  Low HLA-DR expression on monocytes as a prognostic marker for bacterial sepsis after liver transplantation.

Authors:  J M van den Berk; R H Oldenburger; A P van den Berg; I J Klompmaker; G Mesander; W J van Son; W van der Bij; M J Sloof; T H The
Journal:  Transplantation       Date:  1997-06-27       Impact factor: 4.939

Review 6.  Mechanisms of human cytomegalovirus (HCMV) (re)activation and its impact on organ transplant patients.

Authors:  P Reinke; S Prösch; F Kern; H D Volk
Journal:  Transpl Infect Dis       Date:  1999-09       Impact factor: 2.228

7.  Functionally significant renal allograft rejection is defined by transcriptional criteria.

Authors:  Steven C Hoffmann; Douglas A Hale; David E Kleiner; Roslyn B Mannon; Robert L Kampen; Lynn M Jacobson; Linda C Cendales; S John Swanson; Bryan N Becker; Allan D Kirk
Journal:  Am J Transplant       Date:  2005-03       Impact factor: 8.086

8.  Immunopathology of renal allograft rejection analyzed with monoclonal antibodies to mononuclear cell markers.

Authors:  G A Bishop; B M Hall; G G Duggin; J S Horvath; A G Sheil; D J Tiller
Journal:  Kidney Int       Date:  1986-03       Impact factor: 10.612

9.  Inhibition of CD4+CD25+ regulatory T-cell function by calcineurin-dependent interleukin-2 production.

Authors:  Robert Zeiser; Vu H Nguyen; Andreas Beilhack; Martin Buess; Stephan Schulz; Jeanette Baker; Christopher H Contag; Robert S Negrin
Journal:  Blood       Date:  2006-03-07       Impact factor: 22.113

10.  CD4(+)CD25(+) immune regulatory cells are required for induction of tolerance to alloantigen via costimulatory blockade.

Authors:  P A Taylor; R J Noelle; B R Blazar
Journal:  J Exp Med       Date:  2001-06-04       Impact factor: 14.307

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Journal:  Front Immunol       Date:  2022-07-01       Impact factor: 8.786

2.  Changes in phenotypic patterns of blood monocytes after kidney transplantation and during acute rejection.

Authors:  V Švachová; L Krupičková; M Novotný; M Fialová; K Mezerová; E Čečrdlová; V Lánská; A Slavčev; O Viklický; O Viklický; I Stříž
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3.  Erratum: Immunologic Monitoring of T-Lymphocyte Subsets and HLA-DR-Positive Monocytes in Kidney Transplant Recipients: A Prospective, Observational Cohort Study: Erratum.

Authors: 
Journal:  Medicine (Baltimore)       Date:  2016-01-22       Impact factor: 1.889

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