Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint

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, pr...

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Bibliographic Details
Published in:International journal of molecular sciences 2024-04, Vol.25 (7), p.3844
Main Authors: Ramalhete, Luís, Vieira, Miguel Bigotte, Araújo, Rúben, Vigia, Emanuel, Aires, Inês, Ferreira, Aníbal, Calado, Cecília R C
Format: Article
Language:English
Subjects:
Allografts
Antigens
Bayes Theorem
Biopsy
cellular rejection
Chronic kidney failure
Creatinine
Fourier transforms
FTIR spectroscopy
Humans
Immunotherapy
kidney allograft
Kidney Transplantation
Kidneys
Peptides
Proteins
proteomic fingerprint
Proteomics
Quality of Life
Spectrum analysis
Transplantation
Transplants & implants
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Summary: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.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms25073844