Delayed CSF clearance may provide a more sensitive disease marker than blood-CSF-barrier impairment in an Alzheimer’s disease mouse model
Motivation: Accumulation of abnormal proteins in AD has been linked with barrier breakdown between blood and tissue or CSF, and impaired clearance from the brain. Goal(s): To use GBCA-induced signal changes in ventricular CSF following intravenous injection and its decay over time as indices to study the integrity of blood-CSF barrier (BCSFB) and GBCA clearance via CSF, respectively. Approach: Dynamic-susceptibility-contrast-in-the-CSF (cDSC) MRI was performed in the 3xTg-AD mouse model. Results: Impaired clearance in AD mice became significant at 8 months. The amount of GBCA crossing BCSFB appeared similar between AD and WT mice at these early stages. Impact: Our results suggest that delayed CSF clearance may provide a more sensitive marker for AD, and parameters measured during the clearance phase may be more robust than measures obtained immediately after GBCA administration.
Authors
- Linda Knutsson (ORCID: https://orcid.org/0000-0002-4263-113X)
- Peter C.M. van Zijl (ORCID: https://orcid.org/0000-0002-9706-1066)
- Hans‐Peter Fuehrer (ORCID: https://orcid.org/0000-0002-4178-0133)
- Wanli W. Smith (ORCID: https://orcid.org/0000-0002-6482-5154)
- Jiangyang Zhang (ORCID: https://orcid.org/0000-0003-0740-2662)
- Yuguo Li (ORCID: https://orcid.org/0000-0002-2281-4529)
- Chunming Gu (ORCID: https://orcid.org/0000-0003-3568-2032)
- Yuhan Bian
- Jun Hua (ORCID: https://orcid.org/0000-0001-5481-7380)
- Adnan Bibic (ORCID: https://orcid.org/0000-0001-8044-2906)
- Yinghao Li (ORCID: https://orcid.org/0000-0002-2043-9067)
- Di Cao (ORCID: https://orcid.org/0000-0002-2196-0639)
- Yuanqi Sun
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/4112
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00