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X-ray phase-contrast tomography of renal ischemia-reperfusion damage

PLoS One. 2014 Oct 9;9(10):e109562. doi: 10.1371/journal.pone.0109562. eCollection 2014.

Abstract

Purpose: The aim of the study was to investigate microstructural changes occurring in unilateral renal ischemia-reperfusion injury in a murine animal model using synchrotron radiation.

Material and methods: The effects of renal ischemia-reperfusion were investigated in a murine animal model of unilateral ischemia. Kidney samples were harvested on day 18. Grating-Based Phase-Contrast Imaging (GB-PCI) of the paraffin-embedded kidney samples was performed at a Synchrotron Radiation Facility (beam energy of 19 keV). To obtain phase information, a two-grating Talbot interferometer was used applying the phase stepping technique. The imaging system provided an effective pixel size of 7.5 µm. The resulting attenuation and differential phase projections were tomographically reconstructed using filtered back-projection. Semi-automated segmentation and volumetry and correlation to histopathology were performed.

Results: GB-PCI provided good discrimination of the cortex, outer and inner medulla in non-ischemic control kidneys. Post-ischemic kidneys showed a reduced compartmental differentiation, particularly of the outer stripe of the outer medulla, which could not be differentiated from the inner stripe. Compared to the contralateral kidney, after ischemia a volume loss was detected, while the inner medulla mainly retained its volume (ratio 0.94). Post-ischemic kidneys exhibited severe tissue damage as evidenced by tubular atrophy and dilatation, moderate inflammatory infiltration, loss of brush borders and tubular protein cylinders.

Conclusion: In conclusion GB-PCI with synchrotron radiation allows for non-destructive microstructural assessment of parenchymal kidney disease and vessel architecture. If translation to lab-based approaches generates sufficient density resolution, and with a time-optimized image analysis protocol, GB-PCI may ultimately serve as a non-invasive, non-enhanced alternative for imaging of pathological changes of the kidney.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute Kidney Injury / diagnosis
  • Acute Kidney Injury / diagnostic imaging*
  • Acute Kidney Injury / pathology
  • Animals
  • Disease Models, Animal
  • Image Processing, Computer-Assisted
  • Kidney Cortex / diagnostic imaging*
  • Kidney Cortex / pathology
  • Kidney Medulla / diagnostic imaging*
  • Kidney Medulla / pathology
  • Male
  • Mice
  • Mice, Inbred BALB C
  • Mice, Nude
  • Reperfusion Injury / diagnosis
  • Reperfusion Injury / diagnostic imaging*
  • Reperfusion Injury / pathology
  • Synchrotrons
  • Tomography, X-Ray Computed / instrumentation*
  • Tomography, X-Ray Computed / methods

Grants and funding

The authors acknowledge financial support through the DFG Cluster of Excellence Munich-Centre for Advanced Photonics (MAP, Grant no. DFG EXC-158), the DFG Gottfried Wilhelm Leibniz program and the European Research Council (ERC, FP7, StG 240142). This work was carried out with the support of the Karlsruhe Nano Micro Facility (KNMF, www.kit.edu/knmf), a Helmholtz Research Infrastructure at Karlsruhe Institute of Technology (KIT, www.kit.edu). A. Velroyen acknowledges the TUM Graduate School. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.