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Magnetic microparticle-based multimer detection system for the detection of prion oligomers in sheep

Overview of attention for article published in International Journal of Nanomedicine, September 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Magnetic microparticle-based multimer detection system for the detection of prion oligomers in sheep
Published in
International Journal of Nanomedicine, September 2015
DOI 10.2147/ijn.s88377
Pubmed ID
Authors

Seong Soo An, Kuntaek Lim, SuYeon Kim, Byoungsub Lee, Christiane Segarra, Sungmin Kang, Youngran Ju, Joliette Coste, SangYun Kim, Takashi Yokoyama, MaryJo Schmerr

Abstract

Transmissible spongiform encephalopathies (TSEs) are zoonotic fatal neurodegenerative diseases in animals and humans. TSEs are commonly known as bovine spongiform encephalopathy in cattle, scrapie in sheep and goats, chronic wasting disease in cervids, and Creutzfeldt-Jakob disease in humans. The putative transmissible agents are infectious prion proteins (PrP(Sc)), which are formed by the conversion of the normal prion protein on the glycoprotein cell surface in the presence of other PrP(Sc). Reports of the transmission of TSEs through blood raised considerable concern about the safety of blood and blood products. To address this issue, many laboratories attempted to develop a sensitive and accurate blood diagnostic test to detect PrP(Sc). Previously, we reported that, compared to normal controls, the multimer detection system (MDS) was more efficient in detecting PrP(Sc) in infected hamster brain homogenate, mouse plasma spiked with purified PrP(Sc) from scrapie mouse brain, and scrapie-infected hamster plasmas. MDS differentiates prion multimers from the cellular monomer through the multimeric expression of epitopes on prion multimers, in contrast to the monomeric form. In this study, MDS detected PrP(Sc) in plasma samples from scrapie-infected sheep expressing clinical symptoms, demonstrating 100% sensitivity and specificity in these samples. Plasma samples from asymptomatic lambs at the preclinical stage (8-month-old naturally infected offspring of scrapie-infected parents expressing a highly susceptible genotype) tested positive with 50% sensitivity and 100% specificity. In the first of two coded analyses using clinical scrapie-infected sheep and normal healthy samples, MDS successfully identified all but one of the clinical samples with 92% sensitivity and 100% specificity. Similar results were obtained in the second coded analysis using preclinical samples. MDS again successfully identified all but one of the samples with 87% sensitivity and 100% specificity. The false-negative sample was subjected to a protease pretreatment. In conclusion, MDS could accurately detect scrapie in plasma samples at both preclinical and clinical stages. From these studies, we conclude that MDS could be a promising tool for the early diagnosis of TSEs from blood samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Researcher 7 22%
Student > Bachelor 3 9%
Professor 3 9%
Student > Master 3 9%
Other 6 19%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Biochemistry, Genetics and Molecular Biology 5 16%
Medicine and Dentistry 3 9%
Engineering 2 6%
Veterinary Science and Veterinary Medicine 2 6%
Other 9 28%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 October 2015.
All research outputs
#13,446,606
of 22,828,180 outputs
Outputs from International Journal of Nanomedicine
#1,445
of 3,816 outputs
Outputs of similar age
#126,091
of 266,861 outputs
Outputs of similar age from International Journal of Nanomedicine
#50
of 153 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,816 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 59% 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 266,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.