19 research outputs found

    Factors at de novo donorâ specific antibody initial detection associated with allograft loss: a multicenter study

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149234/1/tri13395-sup-0001-FigS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149234/2/tri13395_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149234/3/tri13395.pd

    Agent Orange and long-term outcomes after radical prostatectomy

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    PurposeTo investigate the association between Agent Orange (AO) exposure and long-term prostate cancer (PC) outcomes.Material and methodsData from 1,882 men undergoing radical prostatectomy for PC between 1988 and 2011 at Veterans Affairs Health Care Facilities were analyzed from the Shared Equal Access Regional Cancer Hospital database. Men were stratified by AO exposure (binary). Associations between AO exposure and biopsy and pathologic Gleason sum (GS) and pathologic stage were determined by logistic regression models adjusted for preoperative characteristics. Hazard ratios for biochemical recurrence (BCR), secondary treatment, metastases, and PC-specific mortality were determined by Cox models adjusted for preoperative characteristics.ResultsThere were 333 (17.7%) men with AO exposure. AO-exposed men were younger (median 59 vs. 62 y), had lower preoperative prostate-specific antigen levels (5.8 vs. 6.7 ng/ml), lower clinical category (25% vs. 38% palpable), and higher body mass index (28.2 vs. 27.6 kg/m(2)), all P<0.01. Biopsy GS, pathologic GS, positive surgical margins, lymph node positivity, and extracapsular extension did not differ with AO exposure. At a median follow-up of 85 months, 702 (37.4%) patients had BCR, 603 (32.2%) patients received secondary treatment, 78 (4.1%) had metastases, and 39 (2.1%) died of PC. On multivariable analysis, AO exposure was not associated with BCR, secondary treatment, metastases, or PC mortality.ConclusionsAO exposure was not associated with worse preoperative characteristics such as elevated prostate-specific antigen levels or biopsy GS nor with BCR, secondary treatment, metastases, or PC death. Thus, as data on AO-exposed men mature, possible differences in PC outcomes observed previously are no longer apparent

    The Potential of MicroRNAs as Novel Biomarkers for Transplant Rejection

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    The control of gene expression by microRNAs (miRNAs, miR) influences many cellular functions, including cellular differentiation, cell proliferation, cell development, and functional regulation of the immune system. Recently, miRNAs have been detected in serum, plasma, and urine and circulating miR profiles have been associated with a variety of diseases. Rejection is one of the major causes of allograft failure and preventing and treating acute rejection are the central task for clinicians working with transplant patients. Invasive biopsies used in monitoring rejection are burdensome and risky to transplant patients. Novel and easily accessible biomarkers of acute rejection could make it possible to detect rejection earlier and make more fine-tuned calibration of immunosuppressive or new target treatment possible. In this review, we discuss whether circulating miRNA can serve as an early noninvasive diagnostic biomarker and an expression fingerprint of allograft rejection and transplant failure. Understanding the regulatory interplay of relevant miRNAs and the rejecting allograft will result in a better understanding of the molecular pathophysiology of alloimmune injury

    The Potential of MicroRNAs as Novel Biomarkers for Transplant Rejection

    No full text
    The control of gene expression by microRNAs (miRNAs, miR) influences many cellular functions, including cellular differentiation, cell proliferation, cell development, and functional regulation of the immune system. Recently, miRNAs have been detected in serum, plasma, and urine and circulating miR profiles have been associated with a variety of diseases. Rejection is one of the major causes of allograft failure and preventing and treating acute rejection are the central task for clinicians working with transplant patients. Invasive biopsies used in monitoring rejection are burdensome and risky to transplant patients. Novel and easily accessible biomarkers of acute rejection could make it possible to detect rejection earlier and make more fine-tuned calibration of immunosuppressive or new target treatment possible. In this review, we discuss whether circulating miRNA can serve as an early noninvasive diagnostic biomarker and an expression fingerprint of allograft rejection and transplant failure. Understanding the regulatory interplay of relevant miRNAs and the rejecting allograft will result in a better understanding of the molecular pathophysiology of alloimmune injury

    Factors at de novo donor-specific antibody initial detection associated with allograft loss: a multicenter study

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    We aimed to evaluate patient factors including nonadherence and viral infection and de novo donor-specific antibody (dnDSA) characteristics [total immunoglobulin G (IgG), C1q, IgG3, and IgG4] as predictors of renal allograft failure in a multicenter cohort with dnDSA. We performed a retrospective observational study of 113 kidney transplant recipients with dnDSA and stored sera for analysis. Predictors of death-censored allograft loss were assessed by Cox proportional modeling. Death-censored allograft survival was 77.0% (87/113) during a median follow-up of 2.2 (IQR 1.2-3.7) years after dnDSA detection. Predictors of allograft failure included medication nonadherence [HR 6.5 (95% CI 2.6-15.9)], prior viral infection requiring immunosuppression reduction [HR 5.3 (95% CI 2.1-13.5)], IgG3 positivity [HR 3.8 (95% CI 1.5, 9.3)], and time post-transplant (years) until donor-specific antibody (DSA) detection [HR 1.2 (95% CI 1.0, 1.3)]. In the 67 patients who were biopsied at dnDSA detection, chronic antibody-mediated rejection [HR 11.4 (95% CI 2.3, 56.0)] and mixed rejection [HR 7.4 (95% CI 2.2, 24.8)] were associated with allograft failure. We conclude that patient factors, including a history of viral infection requiring immunosuppression reduction or medication nonadherence, combined with DSA and histologic parameters must be considered to understand the risk of allograft failure in patients with dnDSA

    Incidence and impact of de novo donor-specific alloantibody in primary renal allografts,”

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    Background. To date, limited information is available describing the incidence and impact of de novo donor-specific antiYhuman leukocyte antigen (HLA) antibodies (dnDSA) in the primary renal transplant patient. This report details the dnDSA incidence and actual 3-year post-dnDSA graft outcomes. Methods. The study includes 189 consecutive nonsensitized, non-HLA-identical patients who received a primary kidney transplant between March 1999 and March 2006. Protocol testing for DSA via LABScreen single antigen beads (One Lambda) was done before transplantation and at 1, 3, 6, 9, and 12 months after transplantation then annually and when clinically indicated. Results. Of 189 patients, 47 (25%) developed dnDSA within 10 years. The 5-year posttransplantation cumulative incidence was 20%, with the largest proportion of patients developing dnDSA in the first posttransplantation year (11%). Young patients (18Y35 years old at transplantation), deceased-donor transplant recipients, pretransplantation HLA (non-DSA)Ypositive patients, and patients with a DQ mismatch were the most likely to develop dnDSA. From DSA appearance, 9% of patients lost their graft at 1 year. Actual 3-year death-censored post-dnDSA graft loss was 24%. Conclusion. We conclude that 11% of the patients without detectable DSA at transplantation will have detectable DSA at 1 year, and over the next 4 years, the incidence of dnDSA will increase to 20%. After dnDSA development, 24% of the patients will fail within 3 years. Given these findings, future trials are warranted to determine if treatment of dnDSA-positive patients can prevent allograft failure
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