Biomarkers Predict Parkinson’s Disease 7 Years Before Symptom Onset

 Your doctor should be using this test on you because of your risk of Parkinsons post stroke.

Parkinson’s Disease May Have Link to Stroke March 2017

Your doctor is then required to have EXACT PROTOCOLS that prevent Parkinsons.  Your doctor has no excuses for not having EXACT PARKINSONS PREVENTION PROTOCOLS! 7 years is plenty of time for competent doctors to come up with those protocols, especially since thousands of doctors need those protocols! But since there is NO leadership in stroke, NOTHING ever gets done!

Biomarkers Predict Parkinson’s Disease 7 Years Before Symptom Onset

A simple blood test that uses artificial intelligence (AI) can predict Parkinson’s disease up to 7 years before the onset of symptoms, according to a study published in Nature Communications.

Currently, people with Parkinson’s disease are treated with dopamine replacement therapy after they have already developed symptoms.

“As new therapies become available to treat Parkinson’s, we need to diagnose patients before they have developed the symptoms,” said Kevin Mills, PhD, University College London, London, United Kingdom. “We cannot regrow our brain cells and therefore we need to protect those that we have.”

For the study, Jenny Hällqvist, PhD, University College London, and colleagues developed a panel of 8 blood-based biomarkers that are typically altered in patients with Parkinson’s disease. They then looked at whether machine learning could use the biomarkers to predict the likelihood that a person would go on to develop Parkinson’s disease. To validate the biomarkers, the researchers used blood samples from patients with recently diagnosed motor Parkinson’s disease (n = 99), pre-motor individuals with isolated rapid eye movement sleep behaviour disorder (2 cohorts: n = 18 and n = 54 longitudinally), and healthy controls (n = 36).

When the machine learning tool analysed the blood of pre-motor individuals, it identified that 79% had the same profile as patients with Parkinson’s disease.

Over 10 years, the AI predictions matched the clinical conversion rate, correctly predicting 16 patients who went on to develop Parkinson’s disease. The biomarkers were able to make this determination up to 7 years before the onset of any symptoms.

“By determining 8 proteins in the blood, we can identify potential patients [with Parkinson’s disease] several years in advance,” said Michael Bartl, PhD, University Medical Center Goettingen, Goettingen, Germany. “This means that drug therapies could potentially be given at an earlier stage, which could possibly slow down disease progression or even prevent it from occurring.”

“We have not only developed a test, but can diagnose the disease based on markers that are directly linked to processes such as inflammation and degradation of non-functional proteins,” he concluded. “These markers represent possible targets for new drug treatments.”

Reference: https://www.nature.com/articles/s41467-024-48961-3

SOURCE: University College London