Joined November 2015
3 Photos and videos
Ake Lu retweeted
It’s great to see the longevity-focused biotech @bioagelabs already utilizing specific aging biomarkers as potential predictive and prognostic indicators of their therapeutic’s success.
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Ake Lu retweeted
The causal role of epigenetic clocks remains hotly debated. Longitudinal human studies will be key. An Italian cohort shows that annual increases in epigenetic age predict declining health. Actually, both annual increase and baseline epigenetic age are independent predictors of mortality strengthening the case for a causal link. #Epigenetics #Aging #Mortality Perry Kuo, Luigi Ferrucci 2024 Longitudinal changes in epigenetic clocks predict survival in the InCHIANTI cohort medrxiv.org/content/10.1101/… @agingbiomarkers

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Ake Lu retweeted
🧬Maximum mammalian lifespan is inversely related to rate of change in methylation at specific DNA regions (bivalent regulatory regions): ROC= 1/maximum lifespan. Several beautiful equations link age-related methylation changes to maximum lifespan. Methylation data bring a dream of many physicists to life: mathematical modeling in aging biology. We previously found only a weak overlap between methylation changes associated with maximum lifespan and those linked to chronological age because species lifespan is genetically fixed and doesn’t vary with age. The final part of our trilogy on mammalian lifespan addresses this counterintuitive result. It took five years to publish because we found that studies linking the rate of change in aging biomarkers to lifespan are inherently biased. Strong negative correlation between the rate of change and lifespan can occur even without any signal! We developed a framework to highlight this bias and collected data from 348 mammalian species. Zhe Fei (2024) Fundamental equations linking methylation dynamics to maximum lifespan in mammals. nature.com/articles/s41467-0… @agingbiomarkers #Aging #Methylation #Lifespan #EpigeneticClocks

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Ake Lu retweeted
🗞️Our September issue is out! Read about #mitophagy and #urolithinA, how #lysosome tubulation mediates starvation-induced longevity, #platelet factors in #cognition and much more. 🎨 Image courtesy of Ake Lu and Steve Horvath. nature.com/nataging/volumes/…
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Ake Lu retweeted
Perspective on the @prof_horvath et al finding of pan-mammalian epigenetic clocks. Some of my thoughts: "These results provide ground-breaking evidence that, at least some, aspects of aging are deterministic and linked to developmental processes." nature.com/articles/s43587-0…
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Ake Lu retweeted
Online now! Universal DNA methylation age across species. Study identifies and characterizes evolutionarily conserved cytosine #methylation states related to #age across mammals and establishes pan-mammalian #epigenetic clocks @akelu38 @prof_horvath nature.com/articles/s43587-0…

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Ake Lu retweeted
Excited to share our collaborative work (spearheaded by talented Ake Lu) that was just published Nature Aging. Steve explains the significance in his below post:
Pan-mammalian epigenetic clocks are highly accurate across species, from mice to whales! 🐭🐋These clocks predict mortality risk, hinting at their value in preclinical studies. Epigenetic aging processes are evolutionarily conserved across mammals, intertwining aging and development. #Evolution #EpigeneticClocks #AgingResearch nature.com/articles/s43587-0…
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Ake Lu retweeted
Pan-mammalian epigenetic clocks are highly accurate across species, from mice to whales! 🐭🐋These clocks predict mortality risk, hinting at their value in preclinical studies. Epigenetic aging processes are evolutionarily conserved across mammals, intertwining aging and development. #Evolution #EpigeneticClocks #AgingResearch nature.com/articles/s43587-0…

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Ake Lu retweeted
Main challenge in AI-driven research on rejuvenation strategies? Quality data! 🧬 The Mammalian Methylation Consortium has just released precise DNA methylation data from 15K tissues across 348 mammal species. Now, with a laptop & innovative thinking, anyone can dive into this open-source goldmine. Let's democratize science! 🚀#OpenScience #Longevity #AI science.org/doi/10.1126/scie…

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Ake Lu retweeted
Chronic stress accelerates aging, but how? A new study shows stress triggers increased cellular energy consumption or "hypermetabolism." This could pave the way for a new class of treatments targeting stress at the cellular level. ow.ly/il1g50OT8l0 @MitoPsychoBio
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Ake Lu retweeted
Epigenetic clocks transcend to amphibians, showcasing that DNA methylation lends itself for measuring age in clawed frogs and humans alike. Another triumph of the mammalian methylation array. #Epigeneticclocks #comparativebiology #aging link.springer.com/article/10…
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Ake Lu retweeted
🔬 Promising step towards cognitive rejuvenation in aging rats! 🧠 By using gene therapy, Rudy Goya introduced the Yamanaka genes into old rat brains via a viral vector. 📈 Significant improvement in learning performance, a trend towards a decrease in epigenetic age in the hippocampus. 🐀👵➡️👩‍🎓 #Neuroscience #OSKM #Rejuvenation #EpigeneticClock biorxiv.org/content/10.1101/…

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Ake Lu retweeted
If you haven't seen it, a new version of GrimAge is now out! It works even better in both blood and saliva samples and adds two new epigenetic risk factors important for metabolic and cardiovascular health. ncbi.nlm.nih.gov/pmc/article…
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Ake Lu retweeted
Epigenetic age is increased by stress but can be restored. Several clocks including universal pan-mammalian clock show that young blood/parabiosis affects epigenetic age. #Epigeneticclock #Parabiosis #StressRecovery #aging sciencedirect.com/science/ar…

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Ake Lu retweeted
Our recent @GoogleHealth AI Genomics work showing that deep learning approaches identify new genetic loci and improve risk models for chronic obstructive pulmonary disease (COPD) was published today in @NatureGenet ! Paper: rdcu.be/c96zx Code: github.com/Google-Health/gen…
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Universal DNA methylation age across mammalian tissues disq.us/t/4ah4efi

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Ake Lu retweeted
The most dramatic selection occurs in the gene IFT88, in the period 40-30 kya. This gene is involved in craniofacial and mandibular development. We speculate that this selective sweep in wolves drove adaptation to new prey or hunting strategies in the changing Ice Age ecosystem.
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