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Inflammatory macrophage–associated 3-gene signature predicts subclinical allograft injury and graft survival
Tej D. Azad, … , Maarten Naesens, Purvesh Khatri
Tej D. Azad, … , Maarten Naesens, Purvesh Khatri
Published January 25, 2018
Citation Information: JCI Insight. 2018;3(2):e95659. https://doi.org/10.1172/jci.insight.95659.
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Research Article Immunology Transplantation

Inflammatory macrophage–associated 3-gene signature predicts subclinical allograft injury and graft survival

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Abstract

Late allograft failure is characterized by cumulative subclinical insults manifesting over many years. Although immunomodulatory therapies targeting host T cells have improved short-term survival rates, rates of chronic allograft loss remain high. We hypothesized that other immune cell types may drive subclinical injury, ultimately leading to graft failure. We collected whole-genome transcriptome profiles from 15 independent cohorts composed of 1,697 biopsy samples to assess the association of an inflammatory macrophage polarization–specific gene signature with subclinical injury. We applied penalized regression to a subset of the data sets and identified a 3-gene inflammatory macrophage–derived signature. We validated discriminatory power of the 3-gene signature in 3 independent renal transplant data sets with mean AUC of 0.91. In a longitudinal cohort, the 3-gene signature strongly correlated with extent of injury and accurately predicted progression of subclinical injury 18 months before clinical manifestation. The 3-gene signature also stratified patients at high risk of graft failure as soon as 15 days after biopsy. We found that the 3-gene signature also distinguished acute rejection (AR) accurately in 3 heart transplant data sets but not in lung transplant. Overall, we identified a parsimonious signature capable of diagnosing AR, recognizing subclinical injury, and risk-stratifying renal transplant patients. Our results strongly suggest that inflammatory macrophages may be a viable therapeutic target to improve long-term outcomes for organ transplantation patients.

Authors

Tej D. Azad, Michele Donato, Line Heylen, Andrew B. Liu, Shai S. Shen-Orr, Timothy E. Sweeney, Jonathan Scott Maltzman, Maarten Naesens, Purvesh Khatri

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Usage data is cumulative from February 2022 through February 2023.

Usage JCI PMC
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PDF 88 35
Figure 153 0
Table 56 0
Supplemental data 33 3
Citation downloads 34 0
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Total Views 1,661
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