ArticleMolecular & cellular proteomics : MCP2010
Proteomic signatures in plasma during early acute renal allograft rejection.
Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02050022 (Clinical Implementation and Outcomes Evaluation of Blood-Based Biomarkers for Chronic Obstructive Pulmonary Disease Management), which is not on this map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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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.
Clinical Implementation and Outcomes Evaluation of Blood-Based Biomarkers for Chronic Obstructive Pulmonary Disease Management
Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.
- Identification of Candidate Biomarkers for Transplant Rejection from Transcriptome Data: A Systematic Review.Molecular diagnosis & therapy · 2019Pooled it
- Bioinformatics strategies and biomarker refinement using high-throughput transcriptome data in transplantation.Frontiers in bioinformatics · 2026Article
- Non-Invasive Biomarkers for Early Diagnosis of Kidney Allograft Dysfunction: Current and Future Applications in the Era of Precision Medicine.Medicina (Kaunas, Lithuania) · 2025Review
- Multi-omics Approach in Kidney Transplant: Lessons Learned from COVID-19 Pandemic.Current transplantation reports · 2023Article
- Contemporary Biomarkers for Renal Transplantation: A Narrative Overview.Journal of personalized medicine · 2023Review
- Mass spectrometry-based proteomics for advancing solid organ transplantation research.Frontiers in transplantation · 2023Review
- Article
- Urinary Exosomal Cystatin C and Lipopolysaccharide Binding Protein as Biomarkers for Antibody-Mediated Rejection after Kidney Transplantation.Biomedicines · 2022Article
- Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.Proteomes · 2022Review
- Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology.Molecular medicine reports · 2020Article
- Advances in Detection of Kidney Transplant Injury.Molecular diagnosis & therapy · 2019Review
- Increased levels of circulating MMP3 correlate with severe rejection in face transplantation.Scientific reports · 2018Article
- Role of biobanks in transplantation.Annals of medicine and surgery (2012) · 2018Review
- Urinary proteomics analysis based on mass spectrometry and identification of therapeutic targets of Shenkangling interventions in rats with adriamycin nephropathy using iTRAQ.American journal of translational research · 2018Article
- Biomarkers in renal transplantation: An updated review.World journal of transplantation · 2017Review
- Non-invasive approaches in the diagnosis of acute rejection in kidney transplant recipients, part II: omics analyses of urine and blood samples.Clinical kidney journal · 2017Review
- Assessment of Circulating Protein Signatures for Kidney Transplantation in Pediatric Recipients.Frontiers in medicine · 2017Article
- Article
- Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long-Term Outcomes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2016Article
- The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.Transplantation · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute graft rejection is an important clinical problem in renal transplantation and an adverse predictor for long term graft survival. Plasma biomarkers may offer an important option for post-transplant monitoring and permit timely and effective therapeutic intervention to minimize graft damage. This case-control discovery study (n = 32) used isobaric tagging for relative and absolute protein quantification (iTRAQ) technology to quantitate plasma protein relative concentrations in precise cohorts of patients with and without biopsy-confirmed acute rejection (BCAR). Plasma samples were depleted of the 14 most abundant plasma proteins to enhance detection sensitivity. A total of 18 plasma proteins that encompassed processes related to inflammation, complement activation, blood coagulation, and wound repair exhibited significantly different relative concentrations between patient cohorts with and without BCAR (p value <0.05). Twelve proteins with a fold-change >or=1.15 were selected for diagnostic purposes: seven were increased (titin, lipopolysaccharide-binding protein, peptidase inhibitor 16, complement factor D, mannose-binding lectin, protein Z-dependent protease and beta(2)-microglobulin) and five were decreased (kininogen-1, afamin, serine protease inhibitor, phosphatidylcholine-sterol acyltransferase, and sex hormone-binding globulin) in patients with BCAR. The first three principal components of these proteins showed clear separation of cohorts with and without BCAR. Performance improved with the inclusion of sequential proteins, reaching a primary asymptote after the first three (titin, kininogen-1, and lipopolysaccharide-binding protein). Longitudinal monitoring over the first 3 months post-transplant based on ratios of these three proteins showed clear discrimination between the two patient cohorts at time of rejection. The score then declined to baseline following treatment and resolution of the rejection episode and remained comparable between cases and controls throughout the period of quiescent follow-up. Results were validated using ELISA where possible, and initial cross-validation estimated a sensitivity of 80% and specificity of 90% for classification of BCAR based on a four-protein ELISA classifier. This study provides evidence that protein concentrations in plasma may provide a relevant measure for the occurrence of BCAR and offers a potential tool for immunologic monitoring.
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Registered trials
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