↓ Skip to main content

Age and amyloid effects on human central nervous system amyloid‐beta kinetics

Overview of attention for article published in Annals of Neurology, July 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
8 news outlets
blogs
5 blogs
twitter
12 X users
patent
2 patents
facebook
2 Facebook pages

Citations

dimensions_citation
142 Dimensions

Readers on

mendeley
159 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Age and amyloid effects on human central nervous system amyloid‐beta kinetics
Published in
Annals of Neurology, July 2015
DOI 10.1002/ana.24454
Pubmed ID
Authors

Bruce W Patterson, Donald L Elbert, Kwasi G Mawuenyega, Tom Kasten, Vitaliy Ovod, Shengmei Ma, Chengjie Xiong, Robert Chott, Kevin Yarasheski, Wendy Sigurdson, Lily Zhang, Alison Goate, Tammie Benzinger, John C Morris, David Holtzman, Randall J Bateman

Abstract

Age is the single greatest risk factor for Alzheimer's disease with the incidence doubling every 5 years after age 65. However, our understanding of the mechanistic relationship between increasing age and the risk for Alzheimer's disease is currently limited. We therefore sought to determine the relationship between age, amyloidosis, and amyloid-beta kinetics in the central nervous system (CNS) of humans Methods: Amyloid-beta kinetics were analyzed in 112 participants and compared to the ages of participants and the amount of amyloid deposition. We found a highly significant correlation between increasing age and slowed amyloid-beta turnover rates (2.5-fold longer half-life over five decades of age). In addition, we found independent effects on amyloid-beta42 kinetics specifically in participants with amyloid deposition. Amyloidosis was associated with a higher (>50%) irreversible loss of soluble amyloid-beta42 and a 10-fold higher amyloid-beta42 reversible exchange rate. These findings reveal a mechanistic link between human aging and the risk of amyloidosis which may be due to a dramatic slowing of amyloid-beta turnover, increasing the likelihood of protein misfolding that leads to deposition. Alterations in amyloid-beta kinetics associated with aging and amyloidosis suggest opportunities for diagnostic and therapeutic strategies. More generally, this study provides an example of how changes in protein turnover kinetics can be used to detect physiologic and pathophysiologic changes and may be applicable to other proteinopathies. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 25%
Student > Ph. D. Student 24 15%
Student > Master 13 8%
Student > Bachelor 12 8%
Professor > Associate Professor 11 7%
Other 26 16%
Unknown 33 21%
Readers by discipline Count As %
Neuroscience 29 18%
Agricultural and Biological Sciences 24 15%
Medicine and Dentistry 20 13%
Pharmacology, Toxicology and Pharmaceutical Science 11 7%
Biochemistry, Genetics and Molecular Biology 10 6%
Other 26 16%
Unknown 39 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 103. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 December 2022.
All research outputs
#400,200
of 24,988,588 outputs
Outputs from Annals of Neurology
#116
of 5,596 outputs
Outputs of similar age
#4,352
of 269,695 outputs
Outputs of similar age from Annals of Neurology
#4
of 58 outputs
Altmetric has tracked 24,988,588 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.