Genetically predicted protein concentrations in association with Alzheimer's disease risk: Insights from nonlinear protein modeling

Abstract

Background: Alzheimer's disease (AD) poses a significant public health burden. Despite extensive research, current therapeutic options offer limited efficacy in halting disease progression. Understanding the systemic physiological changes influencing AD development is crucial for developing innovative strategies for effective treatment.