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Ultrasensitive and selective detection of 3-repeat tau seeding activity in Pick disease brain and cerebrospinal fluid

Overview of attention for article published in Acta Neuropathologica, March 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
policy
1 policy source
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13 X users
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5 patents

Citations

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114 Dimensions

Readers on

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108 Mendeley
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1 CiteULike
Title
Ultrasensitive and selective detection of 3-repeat tau seeding activity in Pick disease brain and cerebrospinal fluid
Published in
Acta Neuropathologica, March 2017
DOI 10.1007/s00401-017-1692-z
Pubmed ID
Authors

Eri Saijo, Bernardino Ghetti, Gianluigi Zanusso, Adrian Oblak, Jennifer L. Furman, Marc I. Diamond, Allison Kraus, Byron Caughey

Abstract

The diagnosis and treatment of diseases involving tau-based pathology such as Alzheimer disease and certain frontotemporal dementias is hampered by the inability to detect pathological forms of tau with sufficient sensitivity, specificity and practicality. In these neurodegenerative diseases, tau accumulates in self-seeding filaments. For example, Pick disease (PiD) is associated with frontotemporal degeneration and accumulation of 3-repeat (3R) tau isoforms in filaments constituting Pick bodies. Exploiting the self-seeding activity of tau deposits, and using a 3R tau fragment as a substrate, we have developed an assay (tau RT-QuIC) that can detect tau seeds in 2 µl aliquots of PiD brain dilutions down to 10(-7)-10(-9). PiD seeding activities were 100-fold higher in frontal and temporal lobes compared to cerebellar cortex. Strikingly, this test was 10(3)- to 10(5)-fold less responsive when seeded with brain containing predominant 4-repeat (4R) tau aggregates from cases of corticobasal degeneration, argyrophilic grain disease, and progressive supranuclear palsy. Alzheimer disease brain, with 3R + 4R tau deposits, also gave much weaker responses than PiD brain. When applied to cerebrospinal fluid samples (5 µl), tau RT-QuIC analyses discriminated PiD from non-PiD cases. These findings demonstrate that abnormal tau aggregates can be detected with high sensitivity and disease-specificity in crude tissue and fluid samples. Accordingly, this tau RT-QuIC assay exemplifies a new approach to diagnosing tauopathies and monitoring therapeutic trials using aggregated tau itself as a biomarker.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 23%
Student > Ph. D. Student 23 21%
Other 11 10%
Student > Master 10 9%
Professor 9 8%
Other 17 16%
Unknown 13 12%
Readers by discipline Count As %
Neuroscience 27 25%
Biochemistry, Genetics and Molecular Biology 27 25%
Agricultural and Biological Sciences 12 11%
Medicine and Dentistry 10 9%
Chemistry 5 5%
Other 8 7%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 20 February 2024.
All research outputs
#1,111,657
of 25,530,891 outputs
Outputs from Acta Neuropathologica
#174
of 2,538 outputs
Outputs of similar age
#22,368
of 322,397 outputs
Outputs of similar age from Acta Neuropathologica
#8
of 31 outputs
Altmetric has tracked 25,530,891 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one has done particularly well, scoring higher than 93% 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 322,397 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 93% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.