ReviewProteomics. Clinical applications2011
Profiling the proteome in renal transplantation.
Review in Proteomics. Clinical applications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Urine Proteomics as a Source of Biological Information and Outcome Predictor in Living Kidney Transplantation.Molecular & cellular proteomics : MCP · 2026Article
- Proteomic analysis investigating kidney transplantation outcomes- a scoping review.BMC nephrology · 2023Article
- Doxycycline Alters the Porcine Renal Proteome and Degradome during Hypothermic Machine Perfusion.Current issues in molecular biology · 2022Article
- Urine recirculation prolongs normothermic kidney perfusion via more optimal metabolic homeostasis-a proteomics study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021Article
- Targeted Urine Metabolomics for Monitoring Renal Allograft Injury and Immunosuppression in Pediatric Patients.Journal of clinical medicine · 2020Article
- A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury.Journal of clinical medicine · 2019Article
- Subclinical Changes in Deceased Donor Kidney Proteomes Are Associated With 12-month Allograft Function Posttransplantation-A Preliminary Study.Transplantation · 2019Article
- Biomarkers in Transplantation--Proteomics and Metabolomics.Therapeutic drug monitoring · 2016Review
- Optimization for peptide sample preparation for urine peptidomics.Clinical proteomics · 2014Article
- The identification of novel potential injury mechanisms and candidate biomarkers in renal allograft rejection by quantitative proteomics.Molecular & cellular proteomics : MCP · 2014Article
- Discovery and customized validation of antibody targets by protein arrays and indirect ELISA.Methods in molecular biology (Clifton, N.J.) · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Improved monitoring of transplanted solid organs is one of the next crucial steps leading to an increase in both patient and allograft survival. This can be facilitated through one or a set of surrogate biomarker molecules that accurately and precisely indicate the health status of the transplanted organ. Recent developments in the field of high throughput "omic" methods including genomics and proteomics have facilitated robust and comprehensive analysis of genes and proteins. This development has stimulated efforts in the identification of effective and clinically applicable gene and protein biomarkers in solid organ transplantation, including kidney transplantation. Some achievements have been made through proteomics in terms of profiling proteins and identification of potential biomarkers. However, the road to a successful biomarker discovery and its clinical implementation has proved to be challenging, requiring a number of key issues to be addressed. Such issues are: the lack of widely accepted protocols, difficulty in sample processing and transportation and a lack of collaborative efforts to achieve significant sample sizes in clinical studies. In this review using our area of expertise, we describe the current strategies used for proteomic-based biomarker discovery in renal transplantation, discuss inherent issues associated with these efforts and propose better strategies for successful biomarker discovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.