Claire Bedbrook
@clairebedbrook.bsky.social
π€ 75
π₯ 39
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reposted by
Claire Bedbrook
Princeton University
2 months ago
Now at Princeton,
@clairebedbrook.bsky.social
and
@ravi-nath.bsky.social
led a study during their time as postdocs at Stanford that mapped the full arc of aging in individual vertebrates for the first time, finding that activity levels in young adults may serve as an early predictor of longevity.
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Daily movement and sleep patterns can predict lifespan with striking accuracy
Some fish, it turns out, are morning people. They swim hard during daylight, sleep mostly at night, and tend to live longer.
https://www.yahoo.com/news/articles/daily-movement-sleep-patterns-predict-160700564.html?guccounter=1
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Aging may feel gradualβ¦ but what if itβs not? In our recent paper, we tracked fish continuously from puberty until death. This gave us a unique view of how aging unfolds across the adult lifespan. π§΅
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2 months ago
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reposted by
Claire Bedbrook
Zebrafish Rock!
2 months ago
Youthful antics predict lifespan? Using machine learning & continuous recordings of
#killifish
behavior from adolescence until death,
@brunetlab.bsky.social
&
@deisseroth.bsky.social
find early-life behavior predicted future lifespan! Now published
@science.org
:
www.science.org/doi/10.1126/...
π§ͺ 1/2
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reposted by
Claire Bedbrook
2 months ago
On today's podcast, we talk with neuroscientists Claire Bedbrook and Ravi Nath about their new study, which found that an animal's lifespan can be predicted surprisingly early by observing its behavior.
@brunetlab.bsky.social
@deisseroth.bsky.social
π
neuroscience.stanford.edu/news/why-do-...
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reposted by
Claire Bedbrook
BrunetLab
3 months ago
Multi-organ transcriptomic aging atlas in killifish, with both males and females! πππ Huge congratulations to Emma, Jing, Tony and the entire team!! β¨β
@emkcosta.bsky.social
@jingxunchen.bsky.social
Wyss-Coray lab!
www.nature.com/articles/s43...
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Multi-tissue transcriptomic aging atlas reveals predictive aging biomarkers in the killifish - Nature Aging
Characterizing molecular aging features is crucial for understanding systemic and local factors contributing to the aging process. Here Costa, Chen et al. performed RNA sequencing on 13 tissues across...
https://www.nature.com/articles/s43587-026-01074-6
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