Pathological findings of immunotherapy-induced nephrotoxicity in a humanized immune system mouse model

Sarah C Asby1, Lauren E Thompson1, Michael Goedken2

  • 1Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, Colorado, USA.

Kidney International
|February 8, 2025
PubMed

Insights

A humanized immune system mouse model effectively mimics immune checkpoint inhibitor-induced kidney injury, showing significant pathology similar to patients. This model aids in studying prevention strategies for these cancer therapy side effects.

Area of Science:

  • Immunology
  • Oncology
  • Nephrology

Background:

  • Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but can cause immune-related adverse events (irAEs), including kidney injury.
  • Understanding the mechanisms of ICI-induced kidney injury is crucial for patient safety and effective treatment.

Purpose of the Study:

  • To evaluate a humanized immune system (HIS) tumor-bearing mouse model for studying ICI-mediated kidney injury.
  • To assess the histopathological changes in kidney tissue following ICI treatment in HIS mice.

Main Methods:

  • Humanized (HIS-BRGS) and non-humanized (BRGS) mice were implanted with human breast cancer cells.
  • Mice received nivolumab (anti-PD-1) or a combination of nivolumab and ipilimumab (anti-CTLA-4) for four weeks.
  • Histopathological analysis was performed on kidney tissues to evaluate injury.

Main Results:

  • HIS-BRGS mice treated with ICIs developed interstitial nephritis and vasculitis/periarteritis, mirroring human kidney irAEs.
  • Combination therapy (nivolumab + ipilimumab) induced more severe kidney pathology than nivolumab alone.
  • T helper cell accumulation was observed in ICI-treated HIS-BRGS mouse kidneys.

Conclusions:

  • The HIS-BRGS mouse model accurately recapitulates key features of ICI-induced kidney injury seen in patients.
  • This model serves as a valuable tool for investigating the mechanisms underlying ICI-related kidney injury.
  • The model can be utilized to develop and test strategies for preventing or mitigating kidney irAEs.