A Signature of Gene Expression in Peripheral Blood that Enables Earlier Detection of Acute Rejection in Kidney Transplant Recipients. (July 2018)

• Record Type: Journal Article
• Authors: Hernandez-Fuentes, Maria; Christakoudi, Sofia; Runglall, Manohursingh; Mobillo, Paula; Tsui, Tjir-Li; Karma, Yogesh; Delaney, Florence; Montero, Rosa; Spiridou, Anastasia; Phin-Kon, Sui; Tucker, Beatriz; Farmer, Christopher; Strom, Terry; Sacks, Steven; Lord, Graham; Rebollo-Mesa, Irene; Stahl, Daniel; Chowdhury, Paramit
• Is Part Of: Transplantation. Volume 102(2018)Supplement 7S-1
• Publication Date: 2018-07
• Subjects: Transplantation of organs, tissues, etc -- Periodicals; Transplantation immunology -- Periodicals; 617.95
• DOI: 10.1097/01.tp.0000542822.75680.9c
• Languages: English
• ISSNs: 0041-1337

Abstract

Abstract : Background: Acute rejection (AR) is often indicated by an increase in creatinine levels, after a considerable graft damage has already occurred. There is, therefore, a need for early identification of AR. Monitoring of RNA gene signatures in peripheral blood and urine samples offers the opportunity for surveillance of the recipient immune system and earlier detection of acute rejection. Samples: We examined RT-qPCR expression of 22 literature-based candidate genes in 335 longitudinal whole-blood samples from 27 stable kidney transplant recipients (KTRs) from the KALIBRE study (Kidney Allograft Immune Biomarkers of Rejection Episodes) and 237 samples from 27 KTRs with a biopsy-proven cellular rejection during the first post-transplant year. Creatinine in stable KTRs reached no higher than 20% above the reference range and had less than 15% standard deviation. Methods: To account for post-transplantation changes unrelated to rejection, we generated time-adjusted gene expression as the residuals of linear mixed-effects models with stable patients. To select a parsimonious AR signature, we used penalised logistic regression with a pre-biopsy sample in rejectors and the median gene expression for each stable patient. As a test set we used the longitudinal data. We were also able to examine longitudinal expression of genes as well as effect of different anti-rejection therapies. We subsequently tested the performance of our signature in a second cohort. Results: A 7-gene signature of AR showed area under the curve (AUC) 0.95 (95% confidence interval 0.91-1.00), sensitivity 0.85, specificity 0.93, positive and negative predictive values 0.92 and 0.86 and cross-validated AUC 0.85 (0.75-0.95). The estimated probability of rejection increased as early as six weeks prior to the AR biopsy and decreased after administration of treatment. Notably, gene expression in stable KTRs, as well as in rejectors, showed a pronounced variability, with 22% AR-positives longitudinal samples. Figure. No caption available. Conclusion: Molecular marker alterations in blood emerge well ahead of the time of clinically overt AR. Monitoring of a gene-expression signature of AR in peripheral blood could unravel AR-related pro-inflammatory activity and provide information on subclinical processes and further justification for a biopsy in cases of sustained kidney dysfunction with no marked change in creatinine. Medical Research Council (MRC) (grants G0801537/ID: 88245 and MRC Centre for Transplantation, – MRC grant no. MR/J006742/1). MHF - HEALTH-F5– 2010–260687: The ONE Study. SC, PM and MPH-F received funding from FP7-HEALTH-2012-INNOVATION-1 project number 305147: BIO-DrIM. National Institute for Health Research Biomedical Research Centre at Guy's and St Thomas' and King's College London. NIHR Health Informatics Collaborative.