Date and time: Friday. August 8th,  3:00 PM - 4:00 PM

In-person location: Room 46-3310 (MIT Building 46; PILM Seminar Room 3310);

Zoom link: https://mit.zoom.us/j/97816330048

Title: Mechanisms of genetic risk in Alzheimer's disease

Abstract: Sporadic Alzheimer's disease (AD) accounts for the majority of dementia cases worldwide, yet effective treatments remain limited. Genetic variants associated with AD provide insight into disease etiology and highlight potential therapeutic targets. The ε4 allele of the APOE gene is the strongest : genetic risk factor for AD, and rare variants in the ABCA7 gene are among the next most significant. Both genes encode lipid transporters, suggesting an important role for lipid metabolism in AD etiology. However, the exact cellular mechanisms through which these variants increase AD risk remain incompletely understood. After a brief introduction in Chapter 1, Chapter 2 demonstrates that damaging ABCA7 variants disrupt neuronal phosphatidylcholine metabolism and mitochondrial function. These defects were reversed by supplementation with the phosphatidylcholine precursor cytidine diphosphate-choline (CDP-choline). Chapter 3 shows that APOE4-expressing oligodendrocytes exhibit altered cholesterol transport and impaired myelination. Pharmacological modulation of cholesterol transport in the brain reversed these defects, improving cognitive function in mouse models. These findings suggest that lipid-related mechanisms represent a class of targetable drivers of AD risk, but it remains unclear whether lipid-targeted treatments would be broadly applicable across AD or restricted to specific disease subtypes. Chapter 4 introduces a practical framework for identifying disease subtypes in high-dimensional biological data based on principles from machine learning and data attribution, and applies it to explore transcriptional subtypes among AD brains. Together, these studies reveal potential mechanisms of genetic risk in AD, highlight lipid disruptions as upstream mediators, and propose a practical framework for uncovering AD subtypes.