Publication: Monitoring of serological, cellular and genomic biomarkers in transplantation, computational prediction models and role of cell-free DNA in transplant outcome
Authors
Jiménez Coll, Víctor ; Llorente, Santiago ; Boix, Francisco ; Alfaro, Rafael ; Galián, José Antonio ; Martínez Banaclocha, Helios ; Botella, Carmen ; Moya Quiles, María R. ; Muro Pérez, Manuel ; Minguela, Alfredo ; Muro, Manuel ; Legaz Pérez, Isabel
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Publisher
MDPI
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DOI
https://doi.org/10.3390/ijms24043908
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info:eu-repo/semantics/article
Description
© 2023 by the authors. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This document is the Published version of a Published Work that appeared in final form in International Journal of Molecular Sciences. To access the final edited and published work see https://doi.org/10.3390/ijms24043908
Abstract
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.
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Citation
International Journal of Molecular Sciences. 2023, Vol. 24(4), 3908
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