Related Experiment Video
Updated: Jun 30, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
Low-Density Lipoprotein Cholesterol and Dementia Risk: Integrating Mendelian Randomization and Target Trial Emulation
Kudakwashe Mukumbi1, Yanrong Liu2, Zixin Shi1
1Department of Applied Computing, Michigan Technological University, 1400 Townsend Dr, Houghton, MI, USA.
Insights
Low-density lipoprotein cholesterol (LDL-C) may not directly cause dementia, but is linked to Dementia with Lewy bodies. Late-life associations are complex, influenced by timing and treatment, not just cholesterol levels.
Area of Science:
- Cardiovascular science
- Neuroscience
- Genetics
Background:
- The heart-brain axis connects cardiovascular and neurodegenerative diseases via shared vascular and inflammatory pathways.
- Low-density lipoprotein cholesterol (LDL-C) is a known cause of atherosclerotic cardiovascular disease (ASCVD), but its role in dementia risk is debated, with conflicting associations in midlife versus late-life.
- The 'cholesterol paradox' highlights uncertainty regarding LDL-C's late-life impact on dementia.
Purpose of the Study:
- To investigate the causal relationship between LDL-C and various dementia subtypes, including Alzheimer's disease (AD), Dementia with Lewy bodies (DLB), and Frontotemporal dementia (FTD).
- To address the cholesterol paradox by integrating genetic (Mendelian randomization) and observational (target trial emulation) approaches.
- To evaluate the impact of lipid-lowering treatments on dementia risk in older adults.
Main Methods:
- Employed a triangulated causal inference framework combining two-sample Mendelian randomization (MR) and observational target trial emulation.
- Utilized genetic variants associated with LDL-C as instrumental variables for MR analyses of AD, DLB, FTD, and any dementia (AnyDem).
- Conducted an active-comparator new-user design comparing statin versus ezetimibe initiation in adults aged ≥60 years, using propensity score overlap weighting and Cox proportional hazards models.
Main Results:
- Genetically predicted LDL-C was associated with an increased risk of DLB (OR 1.65), but not AD or AnyDem; FTD results were inconsistent.
- Sensitivity analyses for DLB indicated potential heterogeneity and pleiotropy.
- Observational analysis showed statin initiation associated with higher risks of ASCVD and AnyDem, but these associations attenuated after lipid adjustment and lagged analyses, suggesting residual confounding and reverse causation.
Conclusions:
- LDL-C may reflect cumulative vascular and metabolic risk rather than being a direct causal factor for AD or overall dementia, though a subtype-specific link to DLB exists.
- Late-life associations between LDL-C and dementia are influenced by factors such as timing of exposure, reverse causation, and treatment selection.
- Findings emphasize the need for cautious interpretation of late-life observational data concerning LDL-C and dementia risk.
Background:
The heart-brain axis links cardiovascular and neurodegenerative disease through shared vascular and inflammatory mechanisms. Although low-density lipoprotein cholesterol (LDL-C) is an established causal factor in atherosclerotic cardiovascular disease (ASCVD), its relationship with dementia remains uncertain, with midlife elevations associated with increased risk but late-life associations often appearing null or inverse. To address this cholesterol paradox, we integrated mendelian randomization (MR) with an active-comparator new-user target trial emulation.
Methods:
We applied a triangulated causal inference framework integrating two-sample MR with observational target trial emulation. Genetic variants associated with LDL-C were used as instrumental variables to evaluate Alzheimer's disease (AD), Dementia with Lewy bodies (DLB), Frontotemporal dementia (FTD), and any dementia (AnyDem), with causal estimates derived using inverse-variance weighted models and sensitivity analyses for heterogeneity and pleiotropy. In parallel, an active-comparator new-user design compared statin versus ezetimibe initiation among adults aged ≥60 years using propensity score (PS) overlap weighting and Cox proportional hazards models to evaluate cardiovascular and dementia outcomes.
Results:
Genetically predicted LDL-C was associated with increased risk of DLB (OR 1.65, 95% CI 1.30-2.10; p<0.001), but not AD or AnyDem; FTD estimates were inconsistent. Sensitivity analyses suggested heterogeneity and possible pleiotropy for DLB. In the observational analysis (n=6,977), statin initiation was associated with higher risks of ASCVD (HR 1.26, 95% CI 1.11-1.45) and AnyDem (HR 1.66, 95% CI 1.16-2.38), although estimates attenuated after lipid adjustment and lagged analyses, suggesting residual confounding, treatment selection, and reverse causation in late-life observational associations.
Conclusions:
These findings suggest that LDL-C reflects accumulated vascular and metabolic risk rather than a direct causal driver of AD or overall dementia, although a subtype-specific association was observed for DLB. Late-life associations appeared influenced by timing, reverse causation, and treatment selection, warranting cautious interpretation.
Related Concept Videos
Dementia l: Introduction
Alzheimer Disease ll: Pathophysiology
Atherosclerosis III: Management
Alzheimer Disease l: Introduction
Pharmacogenomics: Identification of New Drug Targets
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...