The Thalion Initiative (US)

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The Thalion Initiative (US)

The Thalion Initiative (US)

@TTIScience

The Thalion Initiative is a global researcher driven initiative focused on the fundamental biology of aging. US Head Office. Visit @TheThalionInit in Canada

Boston, MA Katılım Aralık 2024
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The Thalion Initiative (US)
The Thalion Initiative (US)@TTIScience·
The impact of age-related diseases happen sooner than you think. Welcome to the Thalion Initiative...
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Healthspan
Healthspan@healthspanmed·
Aging follows a predictable pattern. That suggests it's not random damage—it's programmed. Dr. João Pedro de Magalhães @jpsenescence proposes an interesting perspective on the theoretical underpinning of aging: our DNA is the hardware, while the epigenome—the chemical tags that turn genes on or off—acts as software. Over time, this software may become maladaptive, driving aging rather than merely reacting to damage. Here's what you need to know. 👇 🔍 The Research In his paper "Ageing as a software design flaw," Dr. de Magalhães compares the epigenome to computer software executing genetic instructions. Early in life, this developmental program orchestrates growth from a single cell to a fully formed adult. But after reproductive prime, these same genetic scripts might start working against us—suggesting aging may be less about accumulated damage and more about developmental instructions gone awry. Key Concepts: • DNA as Hardware: Our genetic code remains mostly stable, like a computer's unchanging foundation. • Epigenome as Software: Chemical marks dynamically switch genes on and off, like software toggles. • Developmental Programs: These processes guide cell division and tissue formation but may later trigger deterioration. 📊 Core Findings 1️⃣ Epigenetic Clocks (Horvath Clock) • Dr. Steve Horvath's work reveals that roughly 400 genome sites can predict chronological age with remarkable accuracy. • This clock starts ticking almost from conception, suggesting aging isn't random—it follows an orderly pattern written into our developmental script. 2️⃣ Predictable, Not Random • Aging markers like grey hair or bone density loss unfold predictably, not chaotically. • Across species—from mice to humans—the pace of development correlates with lifespan. Mice live fast and die young because their growth software runs at breakneck speed. 3️⃣ Maladaptive Developmental Software • Presbyopia—the stiffening of the eye's lens—illustrates how growth processes beneficial in youth (lens expansion) become harmful in mid-to-later life. • Similar dynamics appear in other tissues through hormone changes and immune shifts past reproductive age. 📖 Why This Matters Traditional theories treat aging as a linear accumulation of damage. But if aging is part of a developmental program, wear and tear isn't the sole culprit. Instead, we're dealing with a quasi-programmed decline, where the very instructions ensuring reproductive success later drive degeneration. • Antagonistic Pleiotropy: Genes advantageous early in life (promoting growth, rapid cell division) can have detrimental effects later, once survival for reproduction is achieved. • Evolutionary Limitations: Natural selection strongly favors traits that help us pass on genes, but it's less concerned with what happens afterward—so flaws in the software persist. 🛠️ Interventions & Practical Applications If developmental software inadvertently fuels aging, slowing or resetting it could boost healthspan: 1️⃣ mTOR Inhibition (Rapamycin) • mTOR drives cell growth and metabolism—crucial for development early in life. Later, overactive mTOR can accelerate tissue damage. • Rapamycin, by dialing down mTOR, extends lifespan in yeast, worms, flies, and mice—and is being explored in humans. 2️⃣ GH/IGF-1 Modulation (Metformin, Caloric Restriction) • High GH/IGF-1 fosters rapid growth but can promote diseases in old age. • Metformin and calorie restriction both reduce IGF-1 levels, correlating with improved metabolic health and increased longevity in animal models. 3️⃣ Cellular Reprogramming (Yamanaka Factors) • Shinya Yamanaka's breakthrough showed that four transcription factors (Oct3/4, Sox2, Klf4, c-Myc) can revert adult cells to a stem-cell-like state, effectively resetting epigenetic age. • Full reprogramming poses cancer risks, but partial or cyclical approaches may offer a factory reset on aging without unchecked cell growth. 💡 Key Takeaway When we view aging as a continuation of developmental processes rather than random decay, a new frontier for intervention emerges. Rather than playing whack-a-mole with diseases as they appear, we can aim to modify genetic and epigenetic programs before pathology sets in. From targeting pathways like mTOR/GH/IGF-1 to exploring partial cellular reprogramming, the prospect of true anti-aging therapies may rest on hacking the same software that built us in the first place. 🔗 Read the Full Review Curious to dive deeper into the idea of aging as a developmental software flaw? Explore our analysis to learn how epigenetic clocks, cancer paradoxes, and species-wide comparisons all converge on one notion: aging might be a predictable, programmable process that we can slow—or even reset. gethealthspan.com/science/articl…
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Maria Marinova, PhD
Maria Marinova, PhD@m__marinova·
Always been fascinated with animals since I was a kid -that pure wonder is literally what pulled me into biology. Now I'm rediscovering it through comparative biology/evolutionary lens. The Amazon molly’s genetic trick letting an all-female species outlive evolutionary doom by 10× is the perfect reminder, and a good example of why we’re putting a big focus on the comparative biology vertical at @TTIScience , using cross-species insights to rethink aging trajectories at scale. Nature keeps teaching us resilience in the most unexpected ways.
Science Magazine@ScienceMagazine

The Amazon molly, which reproduces asexually, has survived—and thrived—at least 10 times longer than predicted by evolutionary theory. scim.ag/4lr25Dj @NewsfromScience

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Max Unfried
Max Unfried@MaxUnfried·
Splendid work! Now imagine how we could decipher evolution and its adaptations if we would have large-scale datasets across all building blocks of life for all species. Not only genomes, but transcriptomes, metabolmes, lipidomes, methylomes, etc. We could really understand why certain species do not develop diseases or have century long lifespans.
Brian Hie@BrianHie

Evo 2, our genome language model that generalizes: - across biological prediction and design tasks, - across all modalities of the central dogma, - across molecular to genome scale, and - across all domains of life, is published today in @Nature.

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Elon Musk
Elon Musk@elonmusk·
Understand the Universe
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Max Unfried
Max Unfried@MaxUnfried·
Can we use natures adaptations from other animals to extend healthy lifespan in humans? I believe so! But the missing ingredient is infrastructure at scale: a shared, standardized comparative biology dataset that de-risks discovery for everyone. And this is exactly the kind of “public good” philanthropy can catalyze, and we are building at @TTIScience. More in my article for @CFObyPostmedia in the comment.
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Max Unfried
Max Unfried@MaxUnfried·
Great that Google is getting into comparative biology! They actually have the resources to accelerate this field a lot which is also crucial to understanding what controls maximum lifespan across the tree of life. Hope they start looking beyond genes, as we do at @TTIScience
Google Research@GoogleResearch

Sequencing a human genome, which once took 13 years and $3B, can now be done in days with the help of AI. By using AI tools like DeepVariant and DeepConsensus, we’re now helping researchers sequence the genomes of endangered species with incredible speed and accuracy. From the Grevy’s zebra to the African penguin, see how AI is helping pull species back from the brink.

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Max Unfried
Max Unfried@MaxUnfried·
Keep in mind Billionaires do have access to the best doctors, best medications, and best protocols. More thorough medicine than what most Longevity Clinics trying to sell you. And yet they don’t reach Longevity but drop dead at the similar rate like the common man.
Alexey Strygin@strygah

I tracked every billionaire who died in the last decade. 389 deaths. $2.17 trillion in wealth. 6 helicopter crashes. Here's what I found.

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Max Unfried
Max Unfried@MaxUnfried·
Turns out Shetland ponies can live up to 50 years, but the average is closer to 35. Normal horses live closer to 25 years. This shows again that the smaller species within a family live longer, similar observations in other mammals. This is what we study at @TTIScience.
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National Philanthropic Trust
Planning to make some grants or contributions to your DAF this month? We've got you. NPT extends its hours at year-end; when you call with a question, you reach a real human who's ready to help. Check out more year-end giving resources here: bit.ly/35s7kwh
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Max Unfried
Max Unfried@MaxUnfried·
Philanthropy for Longevity. @TTIScience is spotlighted in Charitable’s Giving Tuesday Livestream - alongside other amazing organizations! Kicks off Dec 2 at 10am (EST). Tune in at givingtuesday.wpcharitable.com to donate, learn, and help spread compassion and advance science.
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National Philanthropic Trust
To help your favorite nonprofits meet their funding goals before year-end, follow these deadlines to ensure that grants from your DAF will undergo due diligence and reach their recipients before December 31. Visit Giving Season Central to learn more: bit.ly/35s7kwh
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