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Early Detection of Abnormal Prion Protein in Genetic Human Prion Diseases Now Possible Using Real-Time QUIC Assay

Overview of attention for article published in PLOS ONE, January 2013
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Title
Early Detection of Abnormal Prion Protein in Genetic Human Prion Diseases Now Possible Using Real-Time QUIC Assay
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054915
Pubmed ID
Authors

Kazunori Sano, Katsuya Satoh, Ryuichiro Atarashi, Hiroshi Takashima, Yasushi Iwasaki, Mari Yoshida, Nobuo Sanjo, Hiroyuki Murai, Hidehiro Mizusawa, Matthias Schmitz, Inga Zerr, Yong-Sun Kim, Noriyuki Nishida

Abstract

The definitive diagnosis of genetic prion diseases (gPrD) requires pathological confirmation. To date, diagnosis has relied upon the finding of the biomarkers 14-3-3 protein and total tau (t-tau) protein in the cerebrospinal fluid (CSF), but many researchers have reported that these markers are not sufficiently elevated in gPrD, especially in Gerstmann-Sträussler-Scheinker syndrome (GSS). We recently developed a new in vitro amplification technology, designated "real-time quaking-induced conversion (RT-QUIC)", to detect the abnormal form of prion protein in CSF from sporadic Creutzfeldt-Jakob disease (sCJD) patients. In the present study, we aimed to investigate the presence of biomarkers and evaluate RT-QUIC assay in patients with gPrD, as the utility of RT-QUIC as a diagnostic tool in gPrD has yet to be determined.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Greece 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 98 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Researcher 19 19%
Student > Bachelor 13 13%
Professor 7 7%
Student > Master 7 7%
Other 17 17%
Unknown 19 19%
Readers by discipline Count As %
Medicine and Dentistry 20 20%
Agricultural and Biological Sciences 18 18%
Biochemistry, Genetics and Molecular Biology 15 15%
Neuroscience 13 13%
Immunology and Microbiology 3 3%
Other 9 9%
Unknown 24 24%