Dose Optimization of ClpP Agonists Using an In Vitro Microfluidic Perfusion Platform and In Silico

Ronald W Bucher1, Lee M Graves2, Derek W Bartlett3

  • 1Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

The AAPS Journal
|June 13, 2025
PubMed

Insights

Small molecule ClpP agonists disrupt cancer metabolism. An animal-alternative platform predicts anti-tumor efficacy by correlating cell proliferation with drug exposure duration and concentration, guiding cancer therapeutic development.

Area of Science:

  • Oncology
  • Pharmacology
  • Biochemistry

Background:

  • Small molecule activators of mitochondrial caseinolytic protease P (ClpP agonists) target tumor metabolism.
  • ONC201, an imipridone ClpP agonist, is in clinical trials; analogs are in preclinical development.
  • Previous studies showed a unique, prolonged pharmacokinetic-pharmacodynamic (PK-PD) relationship for ONC201 in mice, influencing human dosing strategies.

Purpose of the Study:

  • To systematically analyze PK-PD relationships for ClpP agonists.
  • To define the optimal exposure profile for ClpP agonists as cancer therapeutics.
  • To validate an animal-alternative platform for translational PK-PD studies of ClpP agonists.

Main Methods:

  • Combined PK-PD modeling with a microfluidic perfusion platform.
  • Assessed anti-proliferative effects on triple-negative breast cancer cells.
  • Validated PK-PD model predictions in a mouse tumor xenograft study.

Main Results:

  • Anti-proliferative effects correlated with the magnitude and duration of ClpP agonist exposure above a ClpP activation threshold.
  • PK-PD model simulations using microfluidic data successfully predicted in vivo anti-tumor efficacy.
  • Demonstrated translational relevance of the in vitro PK-PD platform.

Conclusions:

  • The microfluidic platform provides a viable animal-alternative for translational PK-PD studies of ClpP agonists.
  • This approach can guide dose optimization for ClpP agonists in cancer therapy.
  • Understanding PK-PD relationships is crucial for developing effective ClpP agonist cancer treatments.

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