Sex-driven modifiers of Alzheimer's risk: a multi-modality brain imaging study

  • Aneela Rahman (Contributor)
  • Eva Schelbaum (Contributor)
  • Katherine Hoffman (Contributor)
  • Ivan Diaz (Contributor)
  • Hollie Hristov (Contributor)
  • Randolph Andrews (Contributor)
  • Steven Jett (Contributor)
  • Hande Jackson (Contributor)
  • Andrea Lee (Contributor)
  • Harini Sarva (Contributor)
  • Silky Pahlajani (Contributor)
  • Dawn Matthews (Contributor)
  • Jonathan Dyke (Contributor)
  • Richard S. Isaacson (Contributor)
  • Roberta Brinton (Contributor)
  • Lisa Mosconi (Contributor)

Dataset

Description

Objective: To investigate sex differences in late-onset Alzheimer's disease (AD) risks by means of multi-modality brain biomarkers [β-amyloid load via 11C-PiB PET, and neurodegeneration via 18F-FDG PET and structural MRI]. Methods: We examined 121 cognitively normal participants [85 women and 36 men] ages 40-65, with clinical, laboratory, neuropsychological, lifestyle exams, and MRI, FDG- and PiB-PET exams. Several clinical (e.g. age, education, APOE status, family history), medical (e.g., depression, diabetes, hyperlipidemia), hormonal (e.g. thyroid disease, menopause), and lifestyle AD risk factors (e.g., smoking, diet, exercise, intellectual activity) were assessed. Statistical parametric mapping and LASSO regressions were used to compare AD-biomarkers between men and women, and to identify the risk factors associated with sex-related differences. Results: Groups were comparable on clinical and cognitive measures. Adjusting for each modality-specific confounders, the female group showed higher PiB β-amyloid deposition, lower FDG glucose metabolism, and lower MRI gray and white matter volumes compared to the male group (p
Date made availableOct 2 2021
PublisherZENODO

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