The article reviews the emerging field of comparative biogerontology, emphasizing that while the hallmarks of aging have been mapped in laboratory models, their relevance across the vast diversity of animal species remains unclear. It argues that integrating molecular insights from both classic and non‑model organisms is essential to explain the wide variability in lifespan and aging trajectories observed in nature. Recent discoveries suggest that cross‑species comparisons could uncover novel therapeutic avenues, but progress is hampered by fragmented research efforts. The perspective calls for a unified framework that links evolutionary theory, developmental biology, and environmental context to aging mechanisms.
Comparative biogerontology is gaining traction as researchers recognize that the traditional focus on a handful of model organisms—such as mice, flies, and worms—offers only a narrow view of aging biology. By expanding investigations to include species with extreme lifespans or unique physiological traits, scientists can test whether the canonical hallmarks of aging operate universally or are context‑dependent. This broader lens not only validates existing molecular targets but also uncovers unexpected mechanisms that may be invisible in conventional models.
A key challenge lies in bridging evolutionary theory with modern molecular data. Classic theories, such as antagonistic pleiotropy and disposable soma, were formulated before the discovery of cellular pathways like senescence, autophagy, and mitochondrial dysfunction. Integrating phylogenetic analyses with high‑throughput omics enables researchers to map how these pathways have been repurposed or suppressed across lineages, offering a mechanistic basis for observed lifespan diversity. Moreover, developmental timing and environmental pressures—temperature, diet, predation—interact with genetic programs, shaping aging trajectories in ways that single‑species studies cannot capture.
The practical payoff of this integrative approach could be transformative for drug discovery. Compounds that extend lifespan in one species may fail in another if the underlying hallmarks differ, underscoring the need for cross‑species validation early in the pipeline. By fostering collaborative platforms that share data from both model and non‑model organisms, the field can accelerate the identification of conserved targets, streamline translational research, and ultimately deliver more effective anti‑aging therapies. This shift toward a unified, comparative framework promises to turn aging from a mysterious inevitability into a modifiable biological process.
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