Researchers at University College London have identified a set of blood markers that could revolutionize early detection of Parkinson’s disease. Biochemist Jenny Hällqvist and her team used machine learning to pinpoint eight proteins in the blood that change as Parkinson’s progresses. This breakthrough could lead to a simple blood test capable of identifying individuals at risk up to seven years before symptoms become apparent.

Parkinson’s affects around 10 million people worldwide, yet early diagnosis remains a significant challenge. By the time most patients are diagnosed, they have already lost a substantial number of dopamine-producing cells in the brain, leading to severe symptoms. Hällqvist’s team identified eight biomarkers that could predict Parkinson’s with nearly 80 percent accuracy before physical symptoms manifest.

Unlike current testing which is more invasive, a blood test would be more accessible and allow for regular monitoring. This new approach holds promise for early diagnosis and could pave the way for preventative treatments, offering hope to millions affected by this debilitating disease.

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ScienceAlert, June 19, 2024