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Daisy Ding@daisyding_·16 Haz

@avichal @NatureMedicine Thank you, Avichal!

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Avichal - Electric ϟ Capital@avichal·16 Haz

@daisyding_ @NatureMedicine This is amazing work!

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Daisy Ding@daisyding_·16 Haz

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

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Sid Sijbrandij@sytses·16 Haz

Daisy did an amazing job quantifying aging. There is a lot of noise out there, but this is the straight science that shows how aging unfolds. Our organs can age at different speeds. Turns out you can measure it with the proteins found in blood plasma. Great stuff!

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

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Daisy Ding@daisyding_·16 Haz

@Ronalfa @V_Augustina14 @wysscoray @hammy_oh @sophmshi @EricTopol @KejunYing @NannanLu3 Thank you @Ronalfa!

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Ron Alfa@Ronalfa·16 Haz

@daisyding_ @V_Augustina14 @wysscoray @hammy_oh @sophmshi @EricTopol @KejunYing @NannanLu3 Congrats @daisyding_!

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Daisy Ding@daisyding_·16 Haz

More aged cell types → worse survival. Mortality rose in a clear dose-response pattern with cumulative cellular aging burden. 5/9

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Daisy Ding@daisyding_·16 Haz

@sytses Thank you so much, Sid! Exciting to see how much insight into aging we can now read from blood proteins 🩸🧪

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Daisy Ding@daisyding_·16 Haz

@QuanquanGu Would be cool to design anti-aging drugs with your platform!

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Quanquan Gu@QuanquanGu·16 Haz

Go MARS, Go Longevity!

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

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Daisy Ding@daisyding_·16 Haz

@WilliamWallace Thank you for highlighting our work! Here's a simple breakdown of our study: x.com/daisyding_/sta…

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

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William A. Wallace, Ph.D.@WilliamWallace·16 Haz

One of the largest (and most important) aging studies ever run: 60,542 people, 7,000+ blood proteins, 40+ cell types, 15 years of follow-up. Your organs age at different speeds, and lifestyle moves it. Extreme muscle aging meant 12.7x ALS risk. Extreme astrocyte aging predicted Alzheimer's as strongly as APOE4.

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Daisy Ding@daisyding_·16 Haz

@AriyoshiMd Thank you for covering our work! Here's a simple breakdown of our study: x.com/daisyding_/sta…

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

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Nobuhiro Ariyoshi MD@AriyoshiMd·15 Haz

血液検査で「どの細胞が老けているか」を推定できるかもしれない、という研究（nature medicine）約6万人の血液中タンパク質を解析し、脳・免疫・筋肉・肺など40種類以上の細胞ごとの老化度を推定。結果、老化は全身で一斉に進むのではなく、細胞ごとにバラバラに進む可能性が示された。たとえば、・アストロサイトの老化はアルツハイマー病・骨格筋細胞の老化はALS ・肺の上皮細胞の老化は肺がんリスクと関連まだ診断に使える段階ではないが、将来の予防医療は「年齢」ではなく「どの細胞が先に老けているか」を見る時代になるかも

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Eric Topol@EricTopol·15 Haz

This is one of the most important papers advancing the science of aging. Now at the cell level. Another outgrowth of the era of high-throughput proteomics.

Eric Topol@EricTopol

Within our body, different cell types exhibit a varying pace of aging. Discovery of how that can be tracked by cellular proteomics, from a tube of blood, and what that means for health outcomes, For example, the clock of brain astrocytes and development of Alzheimer's disease. @NatureMedicine @wysscoray This takes organ clocks to the next level! nature.com/articles/s4159…

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Daisy Ding@daisyding_·16 Haz

@EricTopol Thank you @EricTopol for highlighting our work! Here's a simple breakdown of our study: x.com/daisyding_/sta…

To solve aging, we first need to measure it. Excited to share our study in @NatureMedicine! Different cell types age at different rates within our body. From a tube of blood, we track aging across 40+ cell types, from immune cells to neurons, revealing signatures that forecast disease risk and resilience. @wysscoray 🧵1/9

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Eric Topol@EricTopol·15 Haz

Within our body, different cell types exhibit a varying pace of aging. Discovery of how that can be tracked by cellular proteomics, from a tube of blood, and what that means for health outcomes, For example, the clock of brain astrocytes and development of Alzheimer's disease. @NatureMedicine @wysscoray This takes organ clocks to the next level! nature.com/articles/s4159…

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Daisy Ding@daisyding_·16 Haz

Huge thanks to my co-first authors @V_Augustina14 and Kenneth Chen, our advisor @wysscoray, our collaborators, and the study participants who made the discovery possible. Shoutout to @hammy_oh @sophmshi @EricTopol @KejunYing @NannanLu3 for the inspiration along the way.

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Daisy Ding@daisyding_·16 Haz

Full study: nature.com/articles/s4159…

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Daisy Ding@daisyding_·16 Haz

We leveraged the plasma proteome: 7k+ proteins measured in 60k+ individuals across three independent cohorts. We built cell-type aging clocks and found that accelerated / youthful cellular aging predicts mortality, future disease, and resilience. 4/9

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Daisy Ding@daisyding_·16 Haz

Aging is not a single clock ticking uniformly across the body. It unfolds across biological scales: cells → organs → individuals. Lifespan reflects the integration of aging rates across these levels. Cells shape organ function and disease vulnerability. So we asked: can we measure aging at cellular resolution in humans? 3/9

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Daisy Ding@daisyding_·16 Haz

Aging is a central driver of many diseases, from neurodegeneration to cancer. But not everyone ages along the same trajectory. Why do some people remain resilient while others become vulnerable? 2/9

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