Label-free X-ray estimation of brain amyloid burden.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 11 2020
Historique:
received: 16 06 2020
accepted: 12 11 2020
entrez: 26 11 2020
pubmed: 27 11 2020
medline: 15 4 2021
Statut: epublish

Résumé

Amyloid plaque deposits in the brain are indicative of Alzheimer's and other diseases. Measurements of brain amyloid burden in small animals require laborious post-mortem histological analysis or resource-intensive, contrast-enhanced imaging techniques. We describe a label-free method based on spectral small-angle X-ray scattering with a polychromatic beam for in vivo estimation of brain amyloid burden. Our findings comparing 5XFAD versus wild-type mice correlate well with histology, showing promise for a fast and practical in vivo technique.

Identifiants

pubmed: 33239703
doi: 10.1038/s41598-020-77554-5
pii: 10.1038/s41598-020-77554-5
pmc: PMC7689528
doi:

Substances chimiques

Amyloid beta-Peptides 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

20505

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Auteurs

Eshan Dahal (E)

Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, 20993, USA.
Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.

Bahaa Ghammraoui (B)

Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, 20993, USA.

Meijun Ye (M)

Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, 20993, USA.

J Carson Smith (JC)

School of Public Health, University of Maryland, College Park, MD, 20742, USA.

Aldo Badano (A)

Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, 20993, USA. aldo.badano@fda.hhs.gov.
Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA. aldo.badano@fda.hhs.gov.

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Classifications MeSH