These blood biomarkers predict dementia 10 years in advance �

Published by Redbran,
Source: Nature Medicine
Other Languages: FR, DE, ES, PT

Blood biomarkers could predict dementia a decade in advance. A recent study opens new perspectives on early detection.

Research published in Nature Medicine reveals that levels of tau217, NfL, and GFAP in the blood are reliable indicators of dementia risk. These biomarkers, analyzed in over 2,100 elderly adults, showed 83% accuracy in predicting the disease up to ten years before diagnosis.


The study highlights that low levels of these biomarkers indicate a minimal risk of developing dementia. This discovery could reassure individuals concerned about their cognitive health while providing a window for early intervention.

The combination of multiple biomarkers, such as p-tau217 with NfL or GFAP, could improve prediction accuracy. Scientists are thus considering more comprehensive approaches to refine screening tools.

The implications of this study are vast, but further research is needed. The goal is to integrate these biomarkers into broader screening strategies, including other clinical and biological data.

This scientific breakthrough represents a significant step toward dementia prevention. It paves the way for early interventions that could potentially slow or even prevent the onset of the disease.

How can blood biomarkers predict dementia?


Biomarkers like tau217, NfL, and GFAP are proteins whose levels vary depending on brain health. Their abnormal presence in the blood may indicate ongoing neurodegenerative processes, long before clinical symptoms appear.

These biomarkers are specific to different aspects of neurodegeneration. For example, tau217 is associated with amyloid plaques characteristic of Alzheimer's disease, while NfL reflects neuronal damage.

Analyzing these biomarkers thus allows for early detection of brain abnormalities. However, their interpretation requires expertise, as external factors can influence their levels.

This promising method could revolutionize early dementia diagnosis, but it still needs refinement for widespread clinical use.
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