Brain metabolic network covariance and aging in a mouse model of Alzheimer's disease.

ABSTRACT:

Introduction

Alzheimer's disease (AD), the leading cause of dementia worldwide, represents a human and financial impact for which few effective drugs exist to treat the disease. Advances in molecular imaging have enabled assessment of cerebral glycolytic metabolism, and network modeling of brain region have linked to alterations in metabolic activity to AD stage.

Methods

We performed ¹⁸ F-FDG positron emission tomography (PET) imaging in 4-, 6-, and 12-month-old 5XFAD and littermate controls (WT) of both sexes and analyzed region data via brain metabolic covariance analysis.

Results

The 5XFAD model mice showed age-related changes in glucose uptake relative to WT mice. Analysis of community structure of covariance networks was different across age and sex, w

SUBMITTER: Chumin EJ 

PROVIDER: S-EPMC10984484 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature