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💤 🫀 🫁 🧠 👁️ 💪 🫘
Today marks a meaningful milestone for LABS — our SleepChart paper, “Sleep chart of biological ageing clocks in middle and late life,” is now online in @Nature.
In this work, we link sleep patterns with biological aging clocks across the brain and body, highlighting how sleep may reflect broader systemic aging processes.
Key takeaways:
🧠 Sleep and biological aging clocks show a coordinated brain–body U-shaped pattern; this relationship extends beyond the brain alone and involves multiple organ systems and at multiple omics layers.
🧬 Sleep disturbances are linked to disease risks and shared genetic architecture: Short sleep appears to have a broader systemic impact, while long sleep shows a more focal, brain-enriched disease burden.
💤 Late-life depression provides an important example. Brain and adipose aging clocks mediate the relationship between long sleep and late-life depression, while short sleep appears to exert a more direct effect. As always, inverse causation cannot be fully excluded (potentially a sleep-LLD bi-directional relationship).
We are excited to share both the paper and the interactive SleepChart portal with the community (including GWAS summary statistics, etc.).
Paper: nature.com/articles/s4158…
SleepChart portal: labs-laboratory.com/sleepchart/
Great collaboration from our partners: @chrisdav66 at the University of Pennsylvania, @AndrewZalesky from the University of Melbourne, #PaulAisen and #MichaelRafii from the University of Southern California, #LuigiFerrucci, #KeenanWalker, and others from the @NIHAging, and many other collaborators!
nature.com/articles/s4158…
#SleepResearch #BiologicalAging #AgingClocks #Neuroscience #PrecisionHealth #BrainHealth #AIinMedicine #LABS
Today marks a meaningful milestone for LABS — our SleepChart paper, “Sleep chart of biological ageing clocks in middle and late life,” is now online in @Nature.
In this work, we link sleep patterns with biological aging clocks across the brain and body, highlighting how sleep may reflect broader systemic aging processes.
Key takeaways:
🧠 Sleep and biological aging clocks show a coordinated brain–body U-shaped pattern; this relationship extends beyond the brain alone and involves multiple organ systems and at multiple omics layers.
🧬 Sleep disturbances are linked to disease risks and shared genetic architecture: Short sleep appears to have a broader systemic impact, while long sleep shows a more focal, brain-enriched disease burden.
💤 Late-life depression provides an important example. Brain and adipose aging clocks mediate the relationship between long sleep and late-life depression, while short sleep appears to exert a more direct effect. As always, inverse causation cannot be fully excluded (potentially a sleep-LLD bi-directional relationship).
We are excited to share both the paper and the interactive SleepChart portal with the community (including GWAS summary statistics, etc.).
Paper: nature.com/articles/s4158…
SleepChart portal: labs-laboratory.com/sleepchart/
Great collaboration from our partners: @chrisdav66 at the University of Pennsylvania, @AndrewZalesky from the University of Melbourne, #PaulAisen and #MichaelRafii from the University of Southern California, #LuigiFerrucci, #KeenanWalker, and others from the @NIHAging, and many other collaborators!
nature.com/articles/s4158…
#SleepResearch #BiologicalAging #AgingClocks #Neuroscience #PrecisionHealth #BrainHealth #AIinMedicine #LABS
www.nature.com Sleep chart of biological ageing clocks in middle and late life Nature - A cross-organ, multi-omics U-shaped relationship between sleep duration and biological ageing clocks highlights the potential of sleep optimization to promote healthy ageing, lower disease... 