BackgroundAlzheimer’s disease (AD) biomarkers are primarily evaluated through MRI, PET, and CSF methods in order to diagnose and monitor disease. Recently, advances in the assessment of blood-based biomarkers have shown promise for simple, inexpensive, accessible, and minimally invasive tools with diagnostic and prognostic value for AD. Most recently, plasma phosphorylated tau181 (p-tau181) has shown excellent performance. The relationship between plasma p-tau181 and cerebral metabolic dysfunction assessed by [18F]FDG PET in AD is still unknown.MethodsThis study was performed on a total of 892 individuals (297 cognitively unimpaired; 595 cognitively impaired) from the ADNI cohort. Plasma p-tau181 was assessed using single molecular array (Simoa) technology and metabolic dysfunction was indexed by [18F]FDG PET. Cross-sectional associations between plasma and CSF p-tau181 and [18F]FDG were assessed using voxelwise linear regression models, with individuals stratified by diagnostic group and by Aβ status. Associations between baseline plasma p-tau181 and longitudinal rate of brain metabolic decline were also assessed in a subset (n=389) of individuals using correlations and voxelwise regression models.ResultsPlasma p-tau181 was elevated in Aβ+ and cognitively impaired individuals as well as in APOE ε4 carriers, and was significantly associated with age, worse cognitive performance, and CSF p-tau181. Cross-sectional analyses showed strong associations between plasma p-tau181 and [18F]FDG PET in Aβ+ and cognitively impaired individuals. Voxelwise longitudinal analyses showed that baseline plasma p-tau181 concentrations were significantly associated with annual rates of metabolic decline only in cognitively impaired individuals, bilaterally in the medial and lateral temporal lobes.ConclusionsThe associations between plasma p-tau181 and reduced brain metabolism, primarily in cognitively impaired and in Aβ+ individuals, supports the use of plasma p-tau181 as a simple, low-cost, minimally invasive, and accessible tool to both assess current and predict future metabolic dysfunction associated with AD, comparatively to PET, MRI, and CSF methods.