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New 3D bone marrow models accurately detect micronucleus induction caused by drug pharmacology, not genotoxicity. These models bridge the in vitro-in vivo gap, improving safety assessments and reducing animal testing for drug development.

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Area of Science:

  • Toxicology
  • Drug Safety
  • In Vitro Models

Background:

  • Micronucleus (MN) assessment is crucial for drug safety evaluation.
  • In vivo bone marrow (BM) MN assays show positives for non-genotoxic compounds due to uncharacterized BM complexity, halting drug progression.
  • There is a need for physiologically relevant BM models to bridge in vitro and in vivo testing gaps.

Purpose of the Study:

  • To evaluate two human 3D BM models (fluidic and static) for MN assessment.
  • To determine if these models can detect MN induction from compounds exhibiting pharmacological effects in vivo but not in vitro.
  • To assess the potential of these models to reduce reliance on animal studies.

Main Methods:

  • Micronucleus induction was assessed in 2D L5178Y and human BM cells, alongside two novel 3D human BM models (fluidic and static).
  • Cells were treated with etoposide (genotoxic), Poly-ADP Ribose Polymerase inhibitor (PARPi), and prednisolone (pharmacological in vivo positive).
  • MN induction was quantified following treatment with varying concentrations of each compound.

Main Results:

  • Both 3D BM models successfully detected MN induction by etoposide and PARPi, confirming their utility in genotoxicity testing.
  • PARPi treatment showed a trend of MN induction in the 3D models that more closely resembled in vivo results.
  • Crucially, prednisolone induced MN in both 3D BM models, indicating these models recapitulate the in vivo microenvironment and its pharmacological effects.

Conclusions:

  • The developed 3D human BM models are effective for MN assessment, capable of detecting both genotoxic and pharmacologically induced micronuclei.
  • These models offer a more physiologically relevant platform to understand drug effects on the bone marrow, potentially predicting in vivo outcomes.
  • Implementing these advanced 3D models can aid in mechanistic understanding, reduce false positives in drug development, and decrease the need for animal testing.