08 / 08 · Research directions
Combinatorial therapy
Test how interventions work together, including their timing, shared targets and adverse interactions.
Test the combined effect explicitly
Ageing involves processes that can reinforce one another. Combining interventions may address several of them, but the result depends on dose, timing and interactions. Benefits can add, exceed an expected combined effect or be lost through interference. Each possibility needs a controlled comparison.
What to investigate
Compare the combination with each component and a common control under the same conditions.
Vary sequence, dose and starting age while measuring toxicity and functional outcomes.
Use removal experiments to identify which components contribute, then replicate the promising combination independently.
Evidence to build on
Panchin, Batin and colleagues’ 2024 review maps combinations of interventions against multiple hallmarks of mammalian ageing. It brings together the rationale and experimental examples, including rapamycin with acarbose. The review is a starting point for selecting testable combinations; the individual studies establish their particular results.
What remains unresolved
A combination doing better than one component alone is insufficient to establish synergy. Synergy needs a specified reference model, and animal survival results leave efficacy and safety in humans to clinical testing.
The next useful experiment
Run a factorial experiment with a control, each intervention alone and the combination. Predefine the interaction model, survival and functional outcomes, and publish null and harmful results.
Proposed experiments →The wider strategy
The presentation begins with combinatorial therapy and returns to mechanism choice, delivery and experimental design. This approach brings those decisions together in one testable protocol.
The Death-Fighting Spectrum presentation ↗