ArticleInternational journal of molecular sciences2024
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Evaluation of a Pre-Transplant Serum FTIR Rejection-Risk Score Across Time Horizons and Rejection Phenotype-Defined Endpoints in Kidney Transplantation.Journal of personalized medicine · 2026Article
- Risk Phenotyping Before Graft Implantation: FTIR Spectroscopy and Machine Learning for Complementary Risk Stratification in Kidney Transplantation.Medical sciences (Basel, Switzerland) · 2026Article
- Day-Zero Serum FTIR Spectroscopy Identifies a Biochemical Signature Associated with Functional Pancreas Graft Dysfunction After Simultaneous Pancreas-Kidney Transplantation.Life (Basel, Switzerland) · 2026Article
- Pre-Transplant Serum FTIRS Signatures as Predictive Biomarkers of Early Transient Pancreatic Graft Dysfunction in Simultaneous Pancreas-Kidney Transplantation.Life (Basel, Switzerland) · 2026Article
- Rejection-Focused Precision Medicine in Kidney Transplantation: Biology, Biomarkers, and Artificial Intelligence.Life (Basel, Switzerland) · 2026Review
- Machine Learning-Assisted FTIR Spectroscopy Analysis of Kidney Preservation Fluids for Delayed Graft Function Risk Stratification.Journal of clinical medicine · 2026Article
- Application of machine learning in the research progress of post-kidney transplant rejection.World journal of transplantation · 2026Review
- Rapid FTIR Spectral Fingerprinting of Kidney Allograft Perfusion Fluids Distinguishes DCD from DBD Donors: A Pilot Machine Learning Study.Metabolites · 2025Article
- Integration of FTIR Spectroscopy and Machine Learning for Kidney Allograft Rejection: A Complementary Diagnostic Tool.Journal of clinical medicine · 2025Article
- Discovery of Delirium Biomarkers through Minimally Invasive Serum Molecular Fingerprinting.Metabolites · 2024Article
- Simplifying Data Analysis in Biomedical Research: An Automated, User-Friendly Tool.Methods and protocols · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Kidney transplantation is an essential medical procedure that significantly enhances the survival rates and quality of life for patients with end-stage kidney disease. However, despite advancements in immunosuppressive therapies, allograft rejection remains a leading cause of organ loss. Notably, predictions of cellular rejection processes primarily rely on biopsy analysis, which is not routinely performed due to its invasive nature. The present work evaluates if the serum proteomic fingerprint, as acquired by Fourier Transform Infrared (FTIR) spectroscopy, can predict cellular rejection processes. We analyzed 28 serum samples, corresponding to 17 without cellular rejection processes and 11 associated with cellular rejection processes, as based on biopsy analyses. The leave-one-out-cross validation procedure of a Naïve Bayes model enabled the prediction of cellular rejection processes with high sensitivity and specificity (AUC > 0.984). The serum proteomic profile was obtained in a high-throughput mode and based on a simple, rapid, and economical procedure, making it suitable for routine analyses and large-scale studies. Consequently, the current method presents a high potential to predict cellular rejection processes translatable to clinical scenarios, and that should continue to be explored.
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Registered trials
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