What if we could detect Parkinson's disease up more than a decade before symptoms appear?
We just published results from Chronos-PD, leveraging a unique resource: 100+ million archived plasma samples from routine donations.
Here's what we found 🧵
https://t.co/k2hzlpJLWh
This work was funded by MJFF and built on Alkahest/Grifols' unique sample repository.
Massive team effort - full author list and data access info coming with preprint.
The data will be made fully available to the research community. Early access possible 🔓
Large-scale proteomics is unlocking in a new era of biomarker discovery and therapeutic target identification. #Chronos offers a unique opportunity: high-temporal-resolution profiling of 100 millions longitudinal plasma samples across pre-clinical phases of any disease (1/5)
💡 The team is making rapid progress, and groundbreaking results are just around the corner—stay tuned for updates! Honored to be the #PI of this transformative program (4/5)
Excited to share our preprint about the spatiotemporal dynamics of mammalian #brain aging. With our new map generated at @wysscoray lab, we made a step towards understanding when and how the 🧠 ages! 1/9 https://t.co/4WDOkIWOTi
Preprint alert! A must read from Oliver Hahn who generated a spatiotemporal gene expression map of 15 brain regions!
This study shows that the white matter tracts are an early hotspot of brain aging! Many other cool findings to discover here 👇
https://t.co/3lD2hSMAfE
1) On January 25th 2023 a new data sharing policy from NIH kicks in which basically requires raw data from NIH-funded studies to be shared. Data is defined as: