Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review

International Journal of Molecular Sciences

Francesco Guzzi¹  Paola Romagnani¹  Luigi Cirillo¹  Francesca Becherucci²  RosaMaria Roperto²  Carmela Errichiello²  Elisa Buti²  JamesP. Hunter³ 

[1] Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy;Nephrology and Dialysis Unit, Meyer Children’s University Hospital, 50139 Florence, Italy;Nuffield Department of Surgical Sciences, Oxford Transplant Centre, Churchill Hospital, University of Oxford, Oxford OX3 7LJ, UK;

关键词: kidney transplantation;    kidney graft;    T-cell-mediated rejection;    antibody-mediated rejection;    diagnostic test accuracy;   

DOI  :  10.3390/ijms21186889

来源: DOAJ

【 摘 要 】

Noninvasive tools for diagnosis or prediction of acute kidney allograft rejection have been extensively investigated in recent years. Biochemical and molecular analyses of blood and urine provide a liquid biopsy that could offer new possibilities for rejection prevention, monitoring, and therefore, treatment. Nevertheless, these tools are not yet available for routine use in clinical practice. In this systematic review, MEDLINE was searched for articles assessing urinary biomarkers for diagnosis or prediction of kidney allograft acute rejection published in the last five years (from January 1, 2015 to May 31, 2020). This review follows the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Articles providing targeted or unbiased urine sample analysis for the diagnosis or prediction of both acute cellular and antibody-mediated kidney allograft rejection were included, analyzed, and graded for methodological quality with a particular focus on study design and diagnostic test accuracy measures. Urinary C-X-C motif chemokine ligands were the most promising and frequently studied biomarkers. The combination of precise diagnostic reference in training sets with accurate validation in real-life cohorts provided the most relevant results and exciting groundwork for future studies.

【 授权许可】

Unknown