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Perspective outlines a framework for interpreting mitochondrial signals in drug discovery, highlighting decision-making implications.
INTRODUCTION: Mitochondrial safety assessment is used in drug discovery, supported by bioenergetic profiling, mechanistic assays, human-relevant cellular systems, and multidimensional data. These advances have improved detection of mitochondrial perturbation but have not solved the harder problem: how such signals should be interpreted and translated into discovery decisions. AREAS COVERED: This perspective proposes a qualitative decision-centered framework for interpreting mitochondrial findings. This framework is anchored in reserve - demand biology, which explains why mitochondrial perturbations become consequential when drug-induced reductions in bioenergetic capacity intersect with tissue-specific demand, exposure, duration, and stress context. Furthermore, the authors describe a qualitative Translational Risk Profile organized around mechanistic severity, exposure relevance, temporal progression, and translational concordance. This profile is paired with a Decision Taxonomy: Stop, Optimize, Monitor, or Acceptable Risk. Examples illustrate how mitochondrial evidence patterns can support different discovery actions. EXPERT OPINION: The major limitation in mitochondrial safety assessment is no longer signal detection, but decision-oriented interpretation. Future progress will depend on integrating mechanism, exposure, duration, biomarkers, human-relevant models and quantitative or computational evidence into explicit decision frameworks. Mitochondrial findings should not be treated as binary hazards. They should be interpreted as context-dependent evidence that can guide chemistry, candidate selection, monitoring strategy, and translational risk management.
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Rogers et al. (2026) studied this question.
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