Unraveling the Clues: Linking Polygenic Risk Score to Alzheimer’s Biomarkers

Published on April 14, 2022

Imagine you’re investigating a crime scene, trying to connect the evidence to the suspect. Well, scientists are doing something similar with Alzheimer’s disease (LOAD). They want to find out which biomarkers in our bodies can predict the progression of Alzheimer’s. By using a method called polygenic risk score (AD-PRS), they have discovered that certain genetic characteristics can indicate the likelihood of developing Alzheimer’s. But they didn’t stop there! They went a step further and looked at various biomarkers like brain scans, cerebrospinal fluid, blood samples, cardiovascular risk factors, cognition, and mental health. This comprehensive review has given us valuable insights into how these biomarkers may be linked to Alzheimer’s. It’s like unlocking clues to a mystery that could help us develop better treatments and interventions for this devastating disease. To dive deeper into the research behind these connections, check out the full article!

Late-onset Alzheimer’s disease (LOAD) is a common irreversible neurodegenerative disease with heterogeneous genetic characteristics. Identifying the biological biomarkers with the potential to predict the conversion from normal controls to LOAD is clinically important for early interventions of LOAD and clinical treatment. The polygenic risk score for LOAD (AD-PRS) has been reported the potential possibility for reliably identifying individuals with risk of developing LOAD recently. To investigate the external phenotype changes resulting from LOAD and the underlying etiology, we summarize the comprehensive associations of AD-PRS with multiple biomarkers, including neuroimaging, cerebrospinal fluid and plasma biomarkers, cardiovascular risk factors, cognitive behavior, and mental health. This systematic review helps improve the understanding of the biomarkers with potential predictive value for LOAD and further optimizing the prediction and accurate treatment of LOAD.

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