Abstract:This review focuses on the role of OMICs technologies, concentrating in particular on proteomics, in biomarker discovery in chronic allograft injury (CAI). CAI is the second most prevalent cause of allograft dysfunction and loss in the first decade post-transplantation, after death with functioning graft (DWFG). The term CAI, sometimes referred to as chronic allograft nephropathy (CAN), describes the deterioration of renal allograft function and structure as a result of immunological processes (chronic antibod… Show more
“…Prior observations suggested that a single biomarker is not likely to reflect the complex pathophysiological process in solid organ transplantation. 31,159 This notion, combined with the advent of a plethora of computational methods, has justified the preference toward the development of proteomic classifiers or protein panels. Additionally, integration of proteomics data with those from other techniques, such as genomics, transcriptomics, and metabolomics, is expected to provide more comprehensive snapshots and a deeper understanding of the mechanisms involved in the pathophysiology after solid organ transplantation.…”
Solid organ transplantation is an established treatment of choice for end-stage organ failure. However, all transplant patients are at risk of developing complications, including allograft rejection and death. Histological analysis of graft biopsy is still the gold standard for evaluation of allograft injury, but it is an invasive procedure and prone to sampling errors. The past decade has seen an increased number of efforts to develop minimally invasive procedures for monitoring allograft injury. Despite the recent progress, limitations such as the complexity of proteomics-based technology, the lack of standardization, and the heterogeneity of populations that have been included in different studies have hindered proteomic tools from reaching clinical transplantation. This review focuses on the role of proteomics-based platforms in biomarker discovery and validation in solid organ transplantation. We also emphasize the value of biomarkers that provide potential mechanistic insights into the pathophysiology of allograft injury, dysfunction, or rejection. Additionally, we forecast that the growth of publicly available data sets, combined with computational methods that effectively integrate them, will facilitate a generation of more informed hypotheses for potential subsequent evaluation in preclinical and clinical studies. Finally, we illustrate the value of combining data sets through the integration of 2 independent data sets that pinpointed hub proteins in antibodymediated rejection.
“…Prior observations suggested that a single biomarker is not likely to reflect the complex pathophysiological process in solid organ transplantation. 31,159 This notion, combined with the advent of a plethora of computational methods, has justified the preference toward the development of proteomic classifiers or protein panels. Additionally, integration of proteomics data with those from other techniques, such as genomics, transcriptomics, and metabolomics, is expected to provide more comprehensive snapshots and a deeper understanding of the mechanisms involved in the pathophysiology after solid organ transplantation.…”
Solid organ transplantation is an established treatment of choice for end-stage organ failure. However, all transplant patients are at risk of developing complications, including allograft rejection and death. Histological analysis of graft biopsy is still the gold standard for evaluation of allograft injury, but it is an invasive procedure and prone to sampling errors. The past decade has seen an increased number of efforts to develop minimally invasive procedures for monitoring allograft injury. Despite the recent progress, limitations such as the complexity of proteomics-based technology, the lack of standardization, and the heterogeneity of populations that have been included in different studies have hindered proteomic tools from reaching clinical transplantation. This review focuses on the role of proteomics-based platforms in biomarker discovery and validation in solid organ transplantation. We also emphasize the value of biomarkers that provide potential mechanistic insights into the pathophysiology of allograft injury, dysfunction, or rejection. Additionally, we forecast that the growth of publicly available data sets, combined with computational methods that effectively integrate them, will facilitate a generation of more informed hypotheses for potential subsequent evaluation in preclinical and clinical studies. Finally, we illustrate the value of combining data sets through the integration of 2 independent data sets that pinpointed hub proteins in antibodymediated rejection.
“…Since the first successful kidney transplant in 1954, kidney transplantation has become the routine management for patients presenting with end‐stage renal disease (ESRD) . The two most common causes of long‐term graft loss remain “death with a functioning graft,” usually from a marked excess of cardiovascular mortality in allograft recipients, and chronic allograft nephropathy (CAN) , the term given to the development of fibrotic processes leading to progressive allograft dysfunction with variable proteinuria and hypertension . Despite the significant improvement in the rate of acute rejection over the last decade , CAN remains the principle cause of late graft loss after the first year post renal transplantation , accounting for 50–80% of graft losses after this time .…”
While further validation in a larger more-diverse patient population is required to determine if this biomarker pattern provides a potential means of diagnosing CAN by noninvasive methods in a clinical setting, this study clearly demonstrates the biomarkers' ability to stratify patients based on transplant function.
Although kidney transplantation is the best treatment option for end stage kidney disease, it is still associated with long-term graft failure. One of the greater challenges for transplant professionals is the ability to identify grafts with a high risk of failure before initial decline of eGFR with irreversible graft changes. Transplantation medicine is facing an emerging need for novel disease end point-specific biomarkers, with practical application in preventive screening, early diagnostic, and improved prognostic and therapeutic utility. The aim of our review was to evaluate the clinical application of urinary proteomics in kidney transplant recipients at risk for any type of future graft failure.
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