Could a fingerprick at home flag your Alzheimer's risk? New study says yes

A simple fingerprick taken at the kitchen table and dropped in the post could soon help identify who is most at risk of Alzheimer's disease, long before symptoms tighten their grip. In a new  study, researchers show that self-collected capillary blood, paired with online cognitive tests, matches the accuracy of traditional clinic-based sampling, opening the door to earlier, more equitable, and far more accessible dementia risk screening.

Study: Alzheimer’s Disease blood biomarkers measured through remote capillary sampling correlate with cognition in older adults. Image Credit: nito / Shutterstock

In a recent study published in Nature Communications, researchers found that self-administered fingerprick blood tests measuring plasma phosphorylated tau at amino acid 217 (p-tau217), along with glial fibrillary acidic protein (GFAP), closely aligned with conventional venous blood biomarkers. The markers were also associated with cognitive and functional performance across the Alzheimer's disease (AD) continuum. The findings suggest that combining these capillary blood tests with computerized cognitive assessments could support remote, at-home triage of individuals at risk of AD-related impairment, though the authors emphasize the approach is intended for risk stratification, not diagnosis. High patient acceptability further underscores its potential to improve early detection.

AD places a major burden on individuals, families, and healthcare systems, progressively impairing memory, independence, and quality of life. Despite advances in biomarker research, many people with early cognitive impairment remain outside specialist care, delaying diagnosis and intervention. Blood biomarkers such as p-tau217 and GFAP have emerged as promising tools for detecting AD-related pathology. However, current venous blood testing still requires clinic visits, limiting accessibility and scalability. This underscores the need for scalable approaches that extend risk assessment beyond specialist settings and support earlier identification of high-risk individuals.