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...
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| Veröffentlicht in: | International journal of molecular sciences 2023-02, Vol.24 (4), p.3908 |
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| creator | 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 |
| 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. |
| doi_str_mv | 10.3390/ijms24043908 |
| format | Article |
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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. 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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/). 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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. 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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. 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| source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Antibodies Antigenic determinants B cells Biological markers Biomarkers Biopsy Cell culture Cell-Free Nucleic Acids Chemokines Computer applications Creatine Creatinine Deoxyribonucleic acid DNA Epitopes Gene polymorphism Genes Genetic polymorphisms Genomics Graft Rejection Immune response Immune system Immunology Kidney diseases Kidney Transplantation Kidney transplants Medical prognosis Medical research Monitoring Organ Transplantation Polymorphism Prediction models Proteins Renal function Researchers Review Serology Tissue Donors Transcriptomics Transplantation Transplantation of organs, tissues, etc Transplants & implants Urine |
| title | 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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