Artwork

Content provided by ReachMD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ReachMD or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Tissue-Specific Protein Clusters May Help Predict Risk of Alzheimer’s Disease

 
Share
 

Manage episode 164178504 series 1266195
Content provided by ReachMD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ReachMD or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

A protein homeostasis signature in healthy brains recapitulates tissue vulnerability to Alzheimer’s disease

Rosie Freer, Pietro Sormanni, Giulia Vecchi, Prajwal Ciryam, Christopher M. Dobson, and Michele Vendruscolo

Science Advances 10 Aug 2016: Vol. 2, no. 8, e1600947 DOI: 10.1126/sciadv.1600947

Abstract: In Alzheimer’s disease, aggregates of Aβ and tau in amyloid plaques and neurofibrillary tangles spread progressively across brain tissues following a characteristic pattern, implying a tissue-specific vulnerability to the disease. We report a transcriptional analysis of healthy brains and identify an expression signature that predicts—at ages well before the typical onset—the tissue-specific progression of the disease. We obtain this result by finding a quantitative correlation between the histopathological staging of the disease and the expression patterns of the proteins that coaggregate in amyloid plaques and neurofibrillary tangles, together with those of the protein homeostasis components that regulate Aβ and tau. Because this expression signature is evident in healthy brains, our analysis provides an explanatory link between a tissue-specific environmental risk of protein aggregation and a corresponding vulnerability to Alzheimer’s disease.

  continue reading

23 episodes

Artwork
iconShare
 
Manage episode 164178504 series 1266195
Content provided by ReachMD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ReachMD or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

A protein homeostasis signature in healthy brains recapitulates tissue vulnerability to Alzheimer’s disease

Rosie Freer, Pietro Sormanni, Giulia Vecchi, Prajwal Ciryam, Christopher M. Dobson, and Michele Vendruscolo

Science Advances 10 Aug 2016: Vol. 2, no. 8, e1600947 DOI: 10.1126/sciadv.1600947

Abstract: In Alzheimer’s disease, aggregates of Aβ and tau in amyloid plaques and neurofibrillary tangles spread progressively across brain tissues following a characteristic pattern, implying a tissue-specific vulnerability to the disease. We report a transcriptional analysis of healthy brains and identify an expression signature that predicts—at ages well before the typical onset—the tissue-specific progression of the disease. We obtain this result by finding a quantitative correlation between the histopathological staging of the disease and the expression patterns of the proteins that coaggregate in amyloid plaques and neurofibrillary tangles, together with those of the protein homeostasis components that regulate Aβ and tau. Because this expression signature is evident in healthy brains, our analysis provides an explanatory link between a tissue-specific environmental risk of protein aggregation and a corresponding vulnerability to Alzheimer’s disease.

  continue reading

23 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide