| Autor: |
Al-Janabi, Omar M., Brown, Christopher A., Bahrani, Ahmed A., Abner, Erin L., Barber, Justin M., Gold, Brian T, Goldstein, Larry B., Murphy, Ronan R., Nelson, Peter T., Johnson, Nathan F., Shaw, Leslie M., Smith, Charles D, Trojanowski, John Q, Wilcock, Donna M., Jicha, Gregory A. |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
BACKGROUND: Alzheimer’s disease (AD) pathology and hypertension (HTN) are risk factors for development of white matter (WM) alterations and might be independently associated with these alterations in older adults. OBJECTIVE: To evaluate the independent and synergistic effects of HTN and AD pathology on WM alterations. METHODS: Clinical measures of CVD risk were collected from 62 participants in University of Kentucky Alzheimer’s Disease Center studies who also had CSF sampling and MRI brain scans. CSF Aβ(1–42) levels were measured as a marker of AD, and fluid-attenuated inversion recovery imaging and diffusion tensor imaging were obtained to assess WM macro and microstructural properties. Linear regression analyses were used to assess the relationships among WM alterations, CVD risk and AD pathology. Voxelwise analyses were performed to examine spatial patterns of WM alteration associated with each pathology. RESULTS: HTN and CSF Aβ(1–42) levels were each associated with white matter hyper-intensities (WMH). Also, CSF Aβ(1–42) levels were associated with alterations in normal appearing white matter fractional anisotropy (NAWM-FA), whereas HTN was marginally associated with alterations in NAWM-FA. Linear regression analyses demonstrated significant main effects of HTN and CSF Aβ(1–42) on WMH volume, but no significant HTN × CSF Aβ(1–42) interaction. Furthermore, voxelwise analyses showed unique patterns of WM alteration. associated with hypertension and CSF Aβ(1–42). CONCLUSION: Associations of HTN and lower CSF Aβ(1–42) with WM alteration were statistically and spatially distinct, suggesting independent rather than synergistic effects. Considering such spatial distributions may improve diagnostic accuracy to address each underlying pathology. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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