Frontiers | Genomics and Biomarkers in Kidney Transplantation: Towards Personalized Medicine

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Background

Kidney transplantation is a critical treatment for end-stage kidney disease that has dramatically improved with enhancements in surgery and patient management. Nevertheless, obstacles like graft rejection, infections, and variations in treatment responses continue to pose significant challenges.

Integrating genomics and biomarkers into kidney transplantation practices offers a promising route to more personalized and predictive medicine. By adapting treatments to individual needs, this approach could potentially revolutionize patient outcomes.

This Research Topic explores the potent capability of genomics and biomarkers to transform kidney transplantation into a more precisely tailored practice. By investigating the genetic predispositions of donors and recipients, identifying critical gene variants, and deploying innovative technologies such as next-generation sequencing for detailed immune profiling, researchers can gain deeper insights into factors affecting graft success and complications.

Additionally, this Research Topic seeks to foster developments that significantly enhance patient care by evaluating emerging biomarkers for non-invasive monitoring and understanding systemic impacts through multi-omics.

To gather further insights into personalized approaches in kidney transplantation, we welcome articles addressing, but not limited to, the following themes:

• Genetic risk factors for graft rejection and tolerance
• The role of epigenetics in kidney transplantation
• Biomarkers for early detection of graft dysfunction
• Advancements in multi-omics approaches
• Single-cell genomics in immune monitoring
• Machine learning and predictive modelling in transplant outcomes
• Ethnic and genetic diversity in transplant medicine
• Non-invasive monitoring techniques for graft health
• Therapeutic targets from genomic and biomarker studies

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Keywords: Graft Rejection, Epigenetics, Renal Transplantation, Graft Dysfunction, Multi-Omics Approaches, Kidney Transplantation

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