From mitochondrial signal to discovery decision: a reserve-demand framework for translational risk assessment

Area of Science:

• Drug discovery and development
• Mitochondrial toxicology
• Pharmacology

Background:

• Mitochondrial safety assessment in drug discovery relies on bioenergetic profiling and mechanistic assays.
• Current methods improve detection of mitochondrial perturbations but lack clear interpretation strategies for decision-making.

Purpose of the Study:

• To propose a qualitative decision-centered framework for interpreting mitochondrial findings in drug discovery.
• To integrate mechanistic, exposure, and temporal factors into a structured risk assessment process.

Main Methods:

• Development of a framework anchored in reserve-demand biology.
• Introduction of a Translational Risk Profile assessing mechanistic severity, exposure relevance, temporal progression, and translational concordance.
• Application of a Decision Taxonomy (Stop, Optimize, Monitor, Acceptable Risk).

Main Results:

• The proposed framework provides a qualitative approach to interpret mitochondrial safety data.
• Reserve-demand biology explains how mitochondrial perturbations become consequential under specific conditions.
• The Translational Risk Profile and Decision Taxonomy offer actionable guidance for drug discovery decisions.

Conclusions:

• The primary challenge in mitochondrial safety is interpretation, not detection.
• Integrating diverse evidence types (mechanism, exposure, biomarkers, models) into explicit decision frameworks is crucial.
• Mitochondrial findings should be viewed as context-dependent evidence to guide drug development strategies, not as binary hazards.