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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

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dc.contributor.authorJiménez Coll, Víctor
dc.contributor.authorLlorente, Santiago
dc.contributor.authorBoix, Francisco
dc.contributor.authorAlfaro, Rafael
dc.contributor.authorGalián, José Antonio
dc.contributor.authorMartínez Banaclocha, Helios
dc.contributor.authorBotella, Carmen
dc.contributor.authorMoya Quiles, María R.
dc.contributor.authorMuro Pérez, Manuel
dc.contributor.authorMinguela, Alfredo
dc.contributor.authorMuro, Manuel
dc.contributor.authorLegaz Pérez, Isabel
dc.contributor.departmentCiencias Sociosanitarias
dc.date.accessioned2024-07-08T11:30:46Z
dc.date.available2024-07-08T11:30:46Z
dc.date.issued2023-02-15
dc.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
dc.description.abstractThe 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.es
dc.formatapplication/pdfes
dc.format.extent17es
dc.identifier.citationInternational Journal of Molecular Sciences. 2023, Vol. 24(4), 3908
dc.identifier.doihttps://doi.org/10.3390/ijms24043908
dc.identifier.issnPrint: 1661-6596
dc.identifier.issnElectronic: 1422-0067
dc.identifier.urihttp://hdl.handle.net/10201/142931
dc.languageenges
dc.publisherMDPI
dc.relationThis work was supported by the PI19/01154 project of ISCIII from Spain.es
dc.relation.publisherversionhttps://www.mdpi.com/1422-0067/24/4/3908
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHuman leukocyte antigen (HLA)es
dc.subjectDonor-specific antibody (DSA)es
dc.subjectMonitoring biomarkerses
dc.subjectKidney transplantationes
dc.subjectChronic rejectiones
dc.subjectRegulatory celles
dc.subjectcfDNAes
dc.subjectCell-free DNAes
dc.subjectLong-term graft survivales
dc.subjectComputational predictiones
dc.titleMonitoring of serological, cellular and genomic biomarkers in transplantation, computational prediction models and role of cell-free DNA in transplant outcomees
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
relation.isAuthorOfPublicationb83b4b59-2d61-40f0-9108-5c6a6d158295
relation.isAuthorOfPublication.latestForDiscoveryb83b4b59-2d61-40f0-9108-5c6a6d158295
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