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Gd-nanoparticles functionalization with specific peptides for ß-amyloid plaques targeting

Overview of attention for article published in Journal of Nanobiotechnology, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 news outlet
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1 X user
patent
1 patent

Citations

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56 Dimensions

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70 Mendeley
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Title
Gd-nanoparticles functionalization with specific peptides for ß-amyloid plaques targeting
Published in
Journal of Nanobiotechnology, July 2016
DOI 10.1186/s12951-016-0212-y
Pubmed ID
Authors

Marie Plissonneau, Jonathan Pansieri, Laurence Heinrich-Balard, Jean-François Morfin, Nathalie Stransky-Heilkron, Pascaline Rivory, Pierre Mowat, Mireille Dumoulin, Richard Cohen, Éric Allémann, Éva Tόth, Maria Joao Saraiva, Cédric Louis, Olivier Tillement, Vincent Forge, François Lux, Christel Marquette

Abstract

Amyloidoses are characterized by the extracellular deposition of insoluble fibrillar proteinaceous aggregates highly organized into cross-β structure and referred to as amyloid fibrils. Nowadays, the diagnosis of these diseases remains tedious and involves multiple examinations while an early and accurate protein typing is crucial for the patients' treatment. Routinely used neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET) using Pittsburgh compound B, [(11)C]PIB, provide structural information and allow to assess the amyloid burden, respectively, but cannot discriminate between different amyloid deposits. Therefore, the availability of efficient multimodal imaging nanoparticles targeting specific amyloid fibrils would provide a minimally-invasive imaging tool useful for amyloidoses typing and early diagnosis. In the present study, we have functionalized gadolinium-based MRI nanoparticles (AGuIX) with peptides highly specific for Aβ amyloid fibrils, LPFFD and KLVFF. The capacity of such nanoparticles grafted with peptide to discriminate among different amyloid proteins, was tested with Aβ(1-42) fibrils and with mutated-(V30M) transthyretin (TTR) fibrils. The results of surface plasmon resonance studies showed that both functionalized nanoparticles interact with Aβ(1-42) fibrils with equilibrium dissociation constant (Kd) values of 403 and 350 µM respectively, whilst they did not interact with V30M-TTR fibrils. Similar experiments, performed with PIB, displayed an interaction both with Aβ(1-42) fibrils and V30M-TTR fibrils, with Kd values of 6 and 10 µM respectively, confirming this agent as a general amyloid fibril marker. Thereafter, the ability of functionalized nanoparticle to target and bind selectively Aβ aggregates was further investigated by immunohistochemistry on AD like-neuropathology brain tissue. Pictures clearly indicated that KLVFF-grafted or LPFFD-grafted to AGuIX nanoparticle recognized and bound the Aβ amyloid plaque localized in the mouse hippocampus. These results constitute a first step for considering these functionalized nanoparticles as a valuable multimodal imaging tool to selectively discriminate and diagnose amyloidoses.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Ph. D. Student 11 16%
Student > Master 11 16%
Student > Bachelor 9 13%
Student > Doctoral Student 3 4%
Other 11 16%
Unknown 12 17%
Readers by discipline Count As %
Chemistry 10 14%
Neuroscience 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 7 10%
Agricultural and Biological Sciences 6 9%
Biochemistry, Genetics and Molecular Biology 6 9%
Other 16 23%
Unknown 16 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 11 February 2021.
All research outputs
#2,426,852
of 22,881,964 outputs
Outputs from Journal of Nanobiotechnology
#72
of 1,424 outputs
Outputs of similar age
#47,107
of 365,443 outputs
Outputs of similar age from Journal of Nanobiotechnology
#3
of 14 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 94% 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 365,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.