Molecular Markers of Kidney Transplantation Outcome: Current Omics Tools and Future Developments

International Journal of Molecular Sciences

Thierry Hauet¹  Thomas Kerforne¹  Maryne Lepoittevin¹  Luc Pellerin¹  Raphael Thuillier¹ 

[1] Inserm Unit Ischémie Reperfusion, Métabolisme et Inflammation Stérile en Transplantation (IRMETIST), UMR U1313, Faculty of Medicine and Pharmacy, University of Poitiers, F-86073 Poitiers, France;

关键词: molecular biomarkers;    predictive tool;    OMICS;    renal transplantation;   

DOI  :  10.3390/ijms23116318

来源: DOAJ

【 摘 要 】

Purpose of review: The emerging field of molecular predictive medicine is aiming to change the traditional medical approach in renal transplantation. Many studies have explored potential biomarker molecules with predictive properties in renal transplantation, issued from omics research. Herein, we review the biomarker molecules of four technologies (i.e., Genomics, Transcriptomics, Proteomics, and Metabolomics) associated with favorable kidney transplant outcomes. Recent findings: Several panels of molecules have been associated with the outcome that the majority of markers are related to inflammation and immune response; although. other molecular ontologies are also represented, such as proteasome, growth, regeneration, and drug metabolism. Throughout this review, we highlight the lack of properly validated statistical demonstration. Indeed, the most preeminent molecular panels either remain at the limited size study stage or are not confirmed during large-scale studies. At the core of this problem, we identify the methodological shortcomings and propose a comprehensive workflow for discovery and validation of molecular biomarkers that aims to improve the relevance of these tools in the future. Summary: Overall, adopting a patient management through omics approach could bring remarkable improvement to transplantation success. An increased effort and investment between scientists, medical biologists, and clinicians seem to be the path toward a proper solution.

【 授权许可】

Unknown