Intracerebroventricular diphtheria toxin causes off-target toxicity in CD11b-DTR and wild-type mice, revealing

Jessica Irving1,2, Peggy Rentsch1,2, Sandy Stayte1,2

  • 1Centre for Neuroscience and Regenerative Medicine, St. Vincent's Centre for Applied Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.

Insights

Diphtheria toxin (DT) causes mortality and behavioral issues in mice, even without DTR expression. Careful dosing and controls are crucial when using DT models for studying brain cells.

Area of Science:

  • Neuroscience
  • Immunology
  • Toxicology

Background:

  • Diphtheria toxin receptor (DTR)-based depletion models are common for studying microglial and macrophage roles.
  • The off-target effects of diphtheria toxin (DT) in these models are not fully understood.

Purpose of the Study:

  • To investigate the tolerability, behavioral effects, and cellular responses to intracerebroventricular (i.c.v.) DT administration.
  • To assess DT's toxicity in both wild-type (WT) and CD11b-DTR mice.

Main Methods:

  • Mice (WT and CD11b-DTR) received i.c.v. infusions of DT or vehicle over 10 days.
  • Assessed survival, motor and cognitive behavior, myeloid cell populations, and neuropathology.

Main Results:

  • DT caused dose-dependent mortality in WT mice, independent of DTR expression.
  • CD11b-DTR mice showed increased susceptibility, with lower survival rates and illness onset at reduced DT doses.
  • Behavioral tests revealed dose-dependent impairments in rotarod performance and Y-maze alternation in both genotypes.
  • Myeloid cell depletion was observed in the midbrain of CD11b-DTR mice, with hippocampal cells showing activation.
  • Focal CNS pathology, including ventriculitis and meningoencephalitis, occurred in some DT-treated mice.

Conclusions:

  • Intracerebroventricular DT administration can lead to mortality, behavioral deficits, and CNS pathology in both WT and CD11b-DTR mice.
  • Transgene expression (CD11b-DTR) amplifies susceptibility to DT toxicity.
  • Emphasizes the need for careful dose optimization, appropriate controls, and cautious interpretation of behavioral data in DT-based models.