Asset Details
Do you wish to reserve the book?
Basic Science and Pathogenesis
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Basic Science and Pathogenesis
Do you wish to request the book?
Basic Science and Pathogenesis
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Basic Science and Pathogenesis
2024
Overview
Cognitive decline is often influenced by Alzheimer's disease (AD) pathology (e.g., beta-amyloid burden) and other pathology (e.g., vascular abnormalities). Amyloid onset and chronicity estimation using Sampled Iterative Local Approximation (SILA), enhanced our understanding of AD progression and its preclinical phase. This study has three aims: 1) estimate White Matter Hyperintensities (WMH) onset and chronicity; 2) assess whether baseline WMH chronicity/burden moderates the association between Aβ chronicity/burden and Clinical Dementia Rating-sum of boxes (CDR-SB) trajectories; 3) explore whether tau burden mediates WMH and amyloid associations with CDR-SB.
Participants were from the University of Wisconsin WRAP and ADRC cohorts and had completed at least one T1-weighted and T2-weighted FLAIR scans (Aim 1: n = 877, age 43-93y). WMH values were aligned to a duration scale using SILA and WMH positivity threshold of ∼2.06 mL for WMH+ chronicity = 0. We compared mixed effects models with up to cubic time (age vs WMH chronicity) terms for characterizing WMH trajectories. We also examined baseline WMH burden*amyloid burden at each CDR-SB assessment (PiB A+ DVR threshold ∼17CL; linear and quadratic amyloid burden) relative to longitudinal CDR-SB (Aim 2; n = 426), and tau PET SUVR's mediating effects on WMH*amyloid associations with last CDR-SB (Aim 3; n = 385; meta-temporal (MTC) SUVR; florquinitau tracer).
Mean(SD) age at baseline and last MRI were 65.36(8.49) and 67.26(8.14) years, respectively (sample details in Table 1). Comparisons of simple slopes (95%CI) show overlapping annualized WMH- slope estimates using age (0.028(0.022,0.034)) or chronicity (0.037(0.033,0.040)); in contrast, the WMH+ slopes are 2.26 times larger when aligned to WMH chronicity vs age (WMH+: 0.042(0.036,0.047), WMH-: (0.095(0.091,0.10); Figure 1A&B). Whether biomarker \"burden\" was modeled as ±, estimated DVR, or chronicity (Figure 1C&D), significant interactions showed a synergistic effect of WMH and amyloid on accelerated CDR-SB trajectory. Moderated mediation models revealed MTC-tau accumulation partially mediated (∼65%) the synergistic effect of WMH and amyloid on last CDR-SB (Figure 2).
WMH accumulation follows a predictable trajectory post-onset and appears to exacerbate cognitive decline in those with amyloid pathology. Future analyses will further elucidate the complex relationships between vascular risk, amyloid, tau accumulation and cognitive decline.
