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Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome
The process and evolution of an organ transplant procedure has evolved in terms of the prevention of immunological rejection with the improvement in the determination of immune response genes. These techniques include considering more important genes, more polymorphism detection, more refinement of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963702/ https://www.ncbi.nlm.nih.gov/pubmed/36835314 http://dx.doi.org/10.3390/ijms24043908 |
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author | Jimenez-Coll, Víctor Llorente, Santiago Boix, Francisco Alfaro, Rafael Galián, José Antonio Martinez-Banaclocha, Helios Botella, Carmen Moya-Quiles, María R. Muro-Pérez, Manuel Minguela, Alfredo Legaz, Isabel Muro, Manuel |
author_facet | Jimenez-Coll, Víctor Llorente, Santiago Boix, Francisco Alfaro, Rafael Galián, José Antonio Martinez-Banaclocha, Helios Botella, Carmen Moya-Quiles, María R. Muro-Pérez, Manuel Minguela, Alfredo Legaz, Isabel Muro, Manuel |
author_sort | Jimenez-Coll, Víctor |
collection | PubMed |
description | The process and evolution of an organ transplant procedure has evolved in terms of the prevention of immunological rejection with the improvement in the determination of immune response genes. These techniques include considering more important genes, more polymorphism detection, more refinement of the response motifs, as well as the analysis of epitopes and eplets, its capacity to fix complement, the PIRCHE algorithm and post-transplant monitoring with promising new biomarkers that surpass the classic serum markers such as creatine and other similar parameters of renal function. Among these new biomarkers, we analyze new serological, urine, cellular, genomic and transcriptomic biomarkers and computational prediction, with particular attention to the analysis of donor free circulating DNA as an optimal marker of kidney damage. |
format | Online Article Text |
id | pubmed-9963702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99637022023-02-26 Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome Jimenez-Coll, Víctor Llorente, Santiago Boix, Francisco Alfaro, Rafael Galián, José Antonio Martinez-Banaclocha, Helios Botella, Carmen Moya-Quiles, María R. Muro-Pérez, Manuel Minguela, Alfredo Legaz, Isabel Muro, Manuel Int J Mol Sci Review The process and evolution of an organ transplant procedure has evolved in terms of the prevention of immunological rejection with the improvement in the determination of immune response genes. These techniques include considering more important genes, more polymorphism detection, more refinement of the response motifs, as well as the analysis of epitopes and eplets, its capacity to fix complement, the PIRCHE algorithm and post-transplant monitoring with promising new biomarkers that surpass the classic serum markers such as creatine and other similar parameters of renal function. Among these new biomarkers, we analyze new serological, urine, cellular, genomic and transcriptomic biomarkers and computational prediction, with particular attention to the analysis of donor free circulating DNA as an optimal marker of kidney damage. MDPI 2023-02-15 /pmc/articles/PMC9963702/ /pubmed/36835314 http://dx.doi.org/10.3390/ijms24043908 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Jimenez-Coll, Víctor Llorente, Santiago Boix, Francisco Alfaro, Rafael Galián, José Antonio Martinez-Banaclocha, Helios Botella, Carmen Moya-Quiles, María R. Muro-Pérez, Manuel Minguela, Alfredo Legaz, Isabel Muro, Manuel Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome |
title | Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome |
title_full | Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome |
title_fullStr | Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome |
title_full_unstemmed | Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome |
title_short | Monitoring of Serological, Cellular and Genomic Biomarkers in Transplantation, Computational Prediction Models and Role of Cell-Free DNA in Transplant Outcome |
title_sort | monitoring of serological, cellular and genomic biomarkers in transplantation, computational prediction models and role of cell-free dna in transplant outcome |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963702/ https://www.ncbi.nlm.nih.gov/pubmed/36835314 http://dx.doi.org/10.3390/ijms24043908 |
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