Imaging mouse lung allograft rejection with 1H MRI

Jinbang Guo, Howard J. Huang, Xingan Wang, Wei Wang, Henry Ellison, Robert P. Thomen, Andrew E. Gelman, Jason C. Woods

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Purpose To demonstrate that longitudinal, noninvasive monitoring via MRI can characterize acute cellular rejection in mouse orthotopic lung allografts. Methods Nineteen Balb/c donor to C57BL/6 recipient orthotopic left lung transplants were performed, further divided into control-Ig versus anti-CD4/anti-CD8 treated groups. A two-dimensional multislice gradient-echo pulse sequence synchronized with ventilation was used on a small-animal MR scanner to acquire proton images of lung at postoperative days 3, 7, and 14, just before sacrifice. Lung volume and parenchymal signal were measured, and lung compliance was calculated as volume change per pressure difference between high and low pressures. Results Normalized parenchymal signal in the control-Ig allograft increased over time, with statistical significance between day 14 and day 3 posttransplantation (0.046→0.789; P < 0.05), despite large intermouse variations; this was consistent with histopathologic evidence of rejection. Compliance of the control-Ig allograft decreased significantly over time (0.013→0.003; P < 0.05), but remained constant in mice treated with anti-CD4/anti-CD8 antibodies. Conclusion Lung allograft rejection in individual mice can be monitored by lung parenchymal signal changes and by lung compliance through MRI. Longitudinal imaging can help us better understand the time course of individual lung allograft rejection and response to treatment. Magn Reson Med 73:1970-1978, 2015.

Original languageEnglish (US)
Pages (from-to)1970-1978
Number of pages9
JournalMagnetic Resonance in Medicine
Volume73
Issue number5
DOIs
StatePublished - May 1 2015

Keywords

  • MRI
  • acute cellular rejection
  • compliance
  • lung transplant

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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