bioRxivMolecular BiologyPreprint
A CellAge epigenetic clock for expedited discovery of anti-ageing compounds
Celia Lujan, Eleanor J. TyleriD, Simone EckeriD, Amy P. WebsteriD, Eleanor Rachel Stead, Victoria Eugenia Martinez-MigueliD, Deborah Milligan, James C. GarbeiD, Martha R. StampferiD, Stephan BeckiD, Robert LoweiD, Cleo L. BishopiD, Ivana BjedoviD
Abstract
We aim to improve anti-ageing drug discovery, currently achieved through laborious and lengthy longevity analysis. Recent studies demonstrated that the most accurate molecular method to measure human age is based on CpG methylation profiles, as exemplified by several epigenetics clocks that can accurately predict an individuals age. Here, we developed CellAgeClock, a new epigenetic clock that measures subtle ageing changes in primary human cells in vitro. As such, it provides a unique tool to measure effects of relatively short pharmacological treatments on ageing. We validated the CellAgeClock against known longevity drugs such as rapamycin and trametinib. Moreover, we uncovered novel anti-ageing drugs, torin2 and Dactolisib (BEZ-235), demonstrating the value of our approach as a screening and discovery platform for anti-ageing strategies. The CellAgeClock outperforms other epigenetic clocks in measuring subtle ageing changes in primary human cells in culture. The tested drug treatments reduced senescence and other ageing markers, further consolidating our approach as a screening platform. Finally, we show that the novel anti-ageing drugs we uncovered in vitro, indeed increased longevity in vivo. Our method expands the scope of CpG methylation profiling from measuring human chronological and biological age from human samples in years, to accurately and rapidly detecting anti-ageing potential of drugs using human cells in vitro, providing a novel accelerated discovery platform to test sought after geroprotectors.
- organism: human
- assay: DNA methylation
- research focus: drug response / drug discovery
- research focus: benchmarking
- approach: statistical model
- Citations
- 4
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