Dataset Information

Risk Stratification for Rejection and Infection after Kidney Transplantation.

ABSTRACT:

Background and objectives

Definition of individual risk profile is the first step to implement strategies to keep the delicate balance between under- and overimmunosuppression after kidney transplantation.

Design, setting, participants, & measurements

We used data from the Efficacy Limiting Toxicity Elimination Symphony Study (1190 patients between 2002 and 2004) to model risk of rejection and infection in the first year after kidney transplantation. External validation was performed in a study population from the Fixed-Dose Concentration-Controlled Trial (630 patients between 2003 and 2006).

Results

Despite different temporal dynamics, rejections and severe infections had similar overall incidences in the first year after transplantation (23.4% and 25.5%, respectively), and infections were the principal cause of death (43.2% of all deaths). Recipient older age, deceased donor, higher number of HLA mismatches, and high risk for cytomegalovirus disease were associated with infection; deceased donor, higher number of HLA mismatches, and immunosuppressive therapy including cyclosporin A (compared with tacrolimus), with rejection. These factors were integrated into a two-dimensional risk stratification model, which defined four risk groups: low risk for infection and rejection (30.8%), isolated risk for rejection (36.1%), isolated risk for infection (7.0%), and high risk for infection and rejection (26.1%). In internal validation, this model significantly discriminated the subgroups in terms of composite end point (low risk for infection/rejection, 24.4%; isolated risk for rejection and isolated risk for infection, 31.3%; high risk for infection/rejection, 54.4%; P<0.001), rejection episodes (isolated risk for infection and low risk for infection/rejection, 13.0%; isolated risk for rejection and high risk for infection/rejection, 24.2%; P=0.001), and infection episodes (low risk for infection/rejection and isolated risk for rejection, 12.0%; isolated risk for infection and high risk for infection/rejection, 37.6%; P<0.001). External validation confirmed the applicability of the model to an independent cohort.

Conclusions

We propose a two-dimensional risk stratification model able to disentangle the individual risk for rejection and infection in the first year after kidney transplantation. This concept can be applied to implement a personalized immunosuppressive and antimicrobial treatment approach.

SUBMITTER: Cippa PE

PROVIDER: S-EPMC4670759 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Publications

Risk Stratification for Rejection and Infection after Kidney Transplantation.

Cippà Pietro E PE Schiesser Marc M Ekberg Henrik H van Gelder Teun T Mueller Nicolas J NJ Cao Claude A CA Fehr Thomas T Bernasconi Corrado C

Clinical journal of the American Society of Nephrology : CJASN 20151001 12

<h4>Background and objectives</h4>Definition of individual risk profile is the first step to implement strategies to keep the delicate balance between under- and overimmunosuppression after kidney transplantation.<h4>Design, setting, participants, & measurements</h4>We used data from the Efficacy Limiting Toxicity Elimination Symphony Study (1190 patients between 2002 and 2004) to model risk of rejection and infection in the first year after kidney transplantation. External validation was perfor ...[more]

PMID: 26430088

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Project description:Chronic antibody-mediated rejection (CAMR) represents the main cause of kidney graft loss, but its pathogenesis is unclear. In order to uncover the molecular mechanisms underlying this condition, we characterized the molecular signature of circulating peripheral blood mononuclear cells and, separately, of CD4+ T lymphocytes isolated from CAMR patients compared to kidney transplant recipients with normal graft function and histology. In total peripheral lympho-monocytes, forty-five genes resulted differentially expressed between the two groups, most of them were up-regulated in CAMR and were involved in type I interferon signaling. In addition, in the same set of patients, 16 microRNAs resulted down-regulated in CAMR subjects compared to controls: 4 were predicted modulators of 6 mRNAs identified in the transcriptional analysis. In silico functional analysis supported the involvement of type I interferon signaling. To further confirm this hypothesis, we investigated the transcriptomic profiles of CD4+ T lymphocytes in an independent group of patients and we observed that the activation of type I interferon signaling was a specific hallmark of CAMR. In addition, in CAMR patients we detected a reduction of circulating BDCA2+ dendritic cells, the natural type I interferon- producing cells and their recruitment into the graft along with an increased expression of MXA, a type I interferon-induced protein, at tubulointerstitial and vascular level. In conclusion, our data suggest that type I interferon signaling may represent the molecular signature of CAMR. For microarray analysis, we studied 5 patients included into the control-group and 4 included into the study group. The control group was represented by renal transplant recipients undergoing protocol graft biopsies, with normal renal function and histology, in the absence of circulating anti-HLA antibodies. Study group patients showed clinical and histological evidence of CAMR according to Banff 2011 criteria.

Project description:Chronic antibody-mediated rejection (CAMR) represents the main cause of kidney graft loss, but its pathogenesis is unclear. In order to uncover the molecular mechanisms underlying this condition, we characterized the molecular signature of circulating peripheral blood mononuclear cells and, separately, of CD4+ T lymphocytes isolated from CAMR patients compared to kidney transplant recipients with normal graft function and histology. In total peripheral lympho-monocytes, forty-five genes resulted differentially expressed between the two groups, most of them were up-regulated in CAMR and were involved in type I interferon signaling. In addition, in the same set of patients, 16 microRNAs resulted down-regulated in CAMR subjects compared to controls: 4 were predicted modulators of 6 mRNAs identified in the transcriptional analysis. In silico functional analysis supported the involvement of type I interferon signaling. To further confirm this hypothesis, we investigated the transcriptomic profiles of CD4+ T lymphocytes in an independent group of patients and we observed that the activation of type I interferon signaling was a specific hallmark of CAMR. In addition, in CAMR patients we detected a reduction of circulating BDCA2+ dendritic cells, the natural type I interferon- producing cells and their recruitment into the graft along with an increased expression of MXA, a type I interferon-induced protein, at tubulointerstitial and vascular level. In conclusion, our data suggest that type I interferon signaling may represent the molecular signature of CAMR. For microarray analysis, we studied 8 patients included into the control-group and 10 included into the study group. The control group was represented by renal transplant recipients undergoing protocol graft biopsies, with normal renal function and histology, in the absence of circulating anti-HLA antibodies. Study group patients showed clinical and histological evidence of CAMR according to Banff 2011 criteria.

Dataset Information

Risk Stratification for Rejection and Infection after Kidney Transplantation.

Background and objectives

Design, setting, participants, & measurements

Results

Conclusions

Publications

Risk Stratification for Rejection and Infection after Kidney Transplantation.

Similar Datasets

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