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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Bibliographic Details
Published in:International journal of molecular sciences 2023-02, Vol.24 (4), p.3908
Main Authors: 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
Format: Article
Language:English
Subjects:
Antibodies
Antigenic determinants
B cells
Biological markers
Biomarkers
Biopsy
Cell culture
Cell-Free Nucleic Acids
Chemokines
chronic rejection
Computer applications
Creatine
Creatinine
Deoxyribonucleic acid
DNA
donor-specific antibody (DSA)
Epitopes
Gene polymorphism
Genes
Genetic polymorphisms
Genomics
Graft Rejection
human leukocyte antigen (HLA)
Immune response
Immune system
Immunology
Kidney diseases
Kidney Transplantation
Kidney transplants
Medical prognosis
Medical research
Monitoring
monitoring biomarkers
Organ Transplantation
Polymorphism
Prediction models
Proteins
regulatory cell
Renal function
Researchers
Review
Serology
Tissue Donors
Transcriptomics
Transplantation
Transplantation of organs, tissues, etc
Transplants & implants
Urine
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Summary: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.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms24043908