Molecular and Functional Noninvasive Immune Monitoring in the ESCAPE Study for Prediction of Subclinical Renal Allograft Rejection

Transplantation. 2017 Jun;101(6):1400-1409. doi: 10.1097/TP.0000000000001287.

Abstract

Background: Subclinical acute rejection (sc-AR) is a main cause for functional decline and kidney graft loss and may only be assessed through surveillance biopsies.

Methods: The predictive capacity of 2 novel noninvasive blood biomarkers, the transcriptional kidney Solid Organ Response Test (kSORT), and the IFN-γ enzyme-linked immunosorbent spot assay (ELISPOT) assay were assessed in the Evaluation of Sub-Clinical Acute rejection PrEdiction (ESCAPE) Study in 75 consecutive kidney transplants who received 6-month protocol biopsies. Both assays were run individually and in combination to optimize the use of these techniques to predict sc-AR risk.

Results: Subclinical acute rejection was observed in 22 (29.3%) patients (17 T cell-mediated subclinical rejection [sc-TCMR], 5 antibody-mediated subclinical rejection [sc-ABMR]), whereas 53 (70.7%) showed a noninjured, preserved (stable [STA]) parenchyma. High-risk (HR), low-risk, and indeterminate-risk kSORT scores were observed in 15 (20%), 50 (66.7%), and 10 (13.3%) patients, respectively. The ELISPOT assay was positive in 31 (41%) and negative in 44 (58.7%) patients. The kSORT assay showed high accuracy predicting sc-AR (specificity, 98%; positive predictive value 93%) (all sc-ABMR and 58% sc-TCMR showed HR-kSORT), whereas the ELISPOT showed high precision ruling out sc-TCMR (specificity = 70%, negative predictive value = 92.5%), but could not predict sc-ABMR, unlike kSORT. The predictive probabilities for sc-AR, sc-TCMR, and sc-ABMR were significantly higher when combining both biomarkers (area under the curve > 0.85, P < 0.001) and independently predicted the risk of 6-month sc-AR in a multivariate regression analysis.

Conclusions: Combining a molecular and immune cell functional assay may help to identify HR patients for sc-AR, distinguishing between different driving alloimmune effector mechanisms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Allografts
  • Area Under Curve
  • Asymptomatic Diseases
  • Biomarkers / blood
  • Biopsy
  • Enzyme-Linked Immunospot Assay*
  • Female
  • Genetic Markers
  • Graft Rejection / blood
  • Graft Rejection / diagnosis*
  • Graft Rejection / genetics
  • Graft Rejection / immunology
  • Humans
  • Interferon-gamma / blood*
  • Kidney Transplantation / adverse effects*
  • Male
  • Middle Aged
  • Polymerase Chain Reaction*
  • Predictive Value of Tests
  • ROC Curve
  • Reproducibility of Results
  • Time Factors
  • Transcription, Genetic*
  • Treatment Outcome

Substances

  • Biomarkers
  • Genetic Markers
  • IFNG protein, human
  • Interferon-gamma