A validated quantitative method for the assessment of neuroprotective barrier impairment in neurodegenerative disease models
By
Vinod Kumar,
John D. Lee,
Elizabeth J. Coulson,
Trent M Woodruff
Posted 08 Mar 2020
bioRxiv DOI: 10.1101/2020.03.06.979930
(published DOI: 10.1111/jnc.15119)
The blood-brain barrier (BBB) and blood-spinal cord barrier (BSCB) are highly specialised structures that limit molecule entry from the blood, and maintain homeostasis within the central nervous system (CNS). BBB and BSCB breakdown are associated with multiple neurodegenerative diseases. Given the key role of neuroprotective barrier impairment in neurodegeneration, it is important to identify an effective quantitative method to assess barrier integrity in animal models. In the present study, we developed and validated a quantitative method for assessing BBB and BSCB integrity using sodium fluorescein, that outperformed other fluorescent dyes. We demonstrated using this method that multiple CNS regions progressively increase in permeability in models of Huntington's disease and amyotrophic lateral sclerosis, while biphasic disruption occurred in a mouse model of Alzheimer's disease with disease progression. Collectively, we report a quantitative fluorometric marker with validated reproducible experimental methods, that allows the effective assessment of BBB and BSCB integrity in animal models. This method could be useful to further the understanding of the contribution of these neuroprotective barriers to neurodegeneration processes. ### Competing Interest Statement The authors have declared no competing interest.
Download data
- Downloaded 252 times
- Download rankings, all-time:
- Site-wide: 90,116
- In neuroscience: 14,062
- Year to date:
- Site-wide: 35,499
- Since beginning of last month:
- Site-wide: 35,499
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!