Distinct cerebral small vessel disease impairment in early- and late-onset Alzheimer's disease

Ann Clin Transl Neurol. 2023 Aug;10(8):1326-1337. doi: 10.1002/acn3.51824. Epub 2023 Jun 22.

Abstract

Objective: This study investigated cerebral small vessel disease (CSVD) damage patterns in early-onset and late-onset Alzheimer's disease (EOAD and LOAD) and their effects on cognitive function.

Methods: This study included 93 participants, 45 AD patients (14 EOAD and 31 LOAD), and 48 normal controls (13 YNC and 35 ONC) from the ADNI database. All participants had diffusion tensor imaging data; some had amyloid PET and plasma p-tau181 data. The study used peak width of skeletonized mean diffusivity (PSMD) to measure CSVD severity and compared PSMD between patients and age-matched controls. The effect of age on the relationship between PSMD and cognition was also examined. The study also repeated the analysis in amyloid-positive AD patients and amyloid-negative controls in another independent database (31 EOAD and 38 LOAD), and the merged database.

Results: EOAD and LOAD showed similar cognitive function and disease severity. PSMD was validated as a reliable correlate of cognitive function. In the ADNI database, PSMD was significantly higher for LOAD and showed a tendency to increase for EOAD; in the independent and merged databases, PSMD was significantly higher for both LOAD and EOAD. The impact of PSMD on cognitive function was notably greater in the younger group (YNC and EOAD) than in the older group (ONC and LOAD), as supported by the ADNI and merged databases.

Interpretation: EOAD has less CSVD burden than LOAD, but has a greater impact on cognition. Proactive cerebrovascular prevention strategies may have potential clinical value for younger older adults with cognitive decline.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age of Onset
  • Aged
  • Alzheimer Disease* / diagnostic imaging
  • Cerebral Small Vessel Diseases* / diagnostic imaging
  • Cognition
  • Diffusion Tensor Imaging
  • Humans

Grants and funding

This work was funded by National Natural Science Foundation of China grants 81901707, 82202090, and 82271936; Zhejiang Medicine Health Science and Technology Program grant 2021432939; Zhejiang TCM Youth Talent Fund project grant 2022ZQ057.