4.7 Article

Development and validation of the first consensus gene-expression signature of operational tolerance in kidney transplantation, incorporating adjustment for immunosuppressive drug therapy

期刊

EBIOMEDICINE
卷 58, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.ebiom.2020.102899

关键词

Kidney; Transplantation; Operational Tolerance; Biomarkers; Immunosuppressive Drugs; RT-qPCR

资金

  1. FP7-HEALTH-2012-INNOVATION-1 [305147: BIO-DrIM]
  2. Medical Research Council MRC [G0801537, 88245, MR/J006742/1]
  3. Guy's and St Thomas' Charity [R080530, R090782]
  4. NIHR-BRC School for Translational and Experimental Medicine/Cluster 4 Early Career Award in Translational Science
  5. EU project BIO-DrIM
  6. CONICYT Bicentennial Becas-Chile, Chile
  7. European Union, Seventh Framework Programme [FP7/2007-2013] [HEALTH-F5-2010-260687]
  8. Czech Ministry of Health [NV19-06-00031]
  9. National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London
  10. Clinical Research Networks [7521]

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Background: Kidney transplant recipients (KTRs) with operational tolerance (OT) maintain a functioning graft without immunosuppressive (IS) drugs, thus avoiding treatment complications. Nevertheless, IS drugs can influence gene-expression signatures aiming to identify OT among treated KTRs. Methods: We compared five published signatures of OT in peripheral blood samples from 18 tolerant, 183 stable, and 34 chronic rejector KTRs, using gene-expression levels with and without adjustment for IS drugs and regularised logistic regression. Findings: IS drugs explained up to 50% of the variability in gene-expression and 20-30% of the variability in the probability of OT predicted by signatures without drug adjustment. We present a parsimonious consensus gene-set to identify OT, derived from joint analysis of IS-drug-adjusted expression of five published signature gene-sets. This signature, including CD40, CTLA4, HSD11B1, IGKV4-1, MZB1, NR3C2, and RAB40C genes, showed an area under the curve 0.92 (95% confidence interval 0.88-0.94) in cross-validation and 0.97 (0.93-1.00) in six months follow-up samples. Interpretation: We advocate including adjustment for IS drug therapy in the development stage of gene-expression signatures of OT to reduce the risk of capturing features of treatment, which could be lost following IS drug minimisation or withdrawal. Our signature, however, would require further validation in an independent dataset and a biomarker-led trial. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)

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