Eric McDade

This study evaluates how biomarker variability affects individualized amyloid time estimation in Alzheimer's disease, finding that inter-individual variability is the main source of error.

The paper investigates cell-to-cell communication in Alzheimer's disease to characterize disease biology and suggest new avenues for therapeutic intervention.

This study identifies cell-type-specific and shared gene regulatory networks modulating APOE expression in microglia and astrocytes using single-cell RNA sequencing data from AD patients.

This study shows hub disruption in ADAD follows a targeted attack pattern, detectable pre-clinically and linked to amyloid beta changes and neuronal activity.

The paper quantifies Aβ production from PSEN1 variants and links it to clinical and biomarker progression in ADAD, showing strong associations with disease trajectories.

This study identifies estrogen's role in suppressing neuro-inflammation and links its loss to increased Alzheimer's disease risk in women through systems pharmacology and signaling network analysis.

The paper describes MRI and PET protocols used in the DIAN study to investigate preclinical Alzheimer's disease and reports key imaging findings.

This study identifies increased circPSEN1 levels in ADAD brains compared to sporadic AD and controls, suggesting a potential role in neuroinflammatory processes.

This study identifies metabolomic and lipidomic signatures in Alzheimer's disease brains with different genetic risk factors and finds associations with disease subtypes and progression.