EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework

作者：Amin Haghani, Ake T Lu, Qi Yan, Juan Carlos Izpisúa Belmonte, Pradeep Reddy, Victor Cheng, X. William Yang, Nan Wang, Khyobeni Mozhui, Kevin A. Murach, Alejandro Ocampo, Robert W. Williams, Mathias Jucker, Carina Bergmann, Jesse R. Poganik, Bohan Zhang, Vadim N. Gladyshev, Steve Horvath · 发表于：GeroScience · 年份：2025 · DOI：10.1007/s11357-025-01808-1 · 被引用次数：4 · 研究领域：Epigenetics and DNA Methylation、Health, Environment, Cognitive Aging、Identity, Memory, and Therapy

Several widely used epigenetic clocks have been developed for mice and other species, but a persistent challenge remains: different mouse clocks often yield inconsistent results. To address this limitation in robustness, we present EnsembleAge, a suite of ensemble-based epigenetic clocks. Leveraging data from over 200 perturbation experiments across multiple tissues, EnsembleAge integrates predictions from multiple penalized models. Empirical evaluations demonstrate that EnsembleAge outperforms existing clocks in detecting both pro-aging and rejuvenating interventions. Furthermore, we introduce EnsembleAge HumanMouse, an extension that enables cross-species analyses, facilitating translational research between mouse models and human studies. Together, these advances underscore the potential of EnsembleAge as a robust tool for identifying and validating interventions that modulate biological aging.