molecular modeling of prion transmission to humans
Clicks: 253
ID: 146930
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
253 views
48 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #146 of 245 articles by views in International journal of pharmaceutics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 245 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Using different prion strains, such as the variant Creutzfeldt-Jakob disease agent and the atypical bovine spongiform encephalopathy agents, and using transgenic mice expressing human or bovine prion protein, we assessed the reliability of protein misfolding cyclic amplification (PMCA) to model interspecies and genetic barriers to prion transmission. We compared our PMCA results with in vivo transmission data characterized by attack rates, i.e., the percentage of inoculated mice that developed the disease. Using 19 seed/substrate combinations, we observed that a significant PMCA amplification was only obtained when the mouse line used as substrate is susceptible to the corresponding strain. Our results suggest that PMCA provides a useful tool to study genetic barriers to transmission and to study the zoonotic potential of emerging prion strains.
| Reference Key |
levavasseur2014virusesmolecular
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Etienne Levavasseur;Nicolas Privat;Juan-Carlos Espinosa Martin;Steve Simoneau;Thierry Baron;Benoit Flan;Juan-Maria Torres;Stéphane Haïk |
| Journal | International journal of pharmaceutics |
| Year | 2014 |
| DOI |
10.3390/v6103766
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.