A technique that identifies with great precision the development of abnormal deposits of protein linked to disease Parkinson’s it could help in its early detection and play a crucial role in the diagnosis of the condition, according to a study published by The Lancet Neurology.
The findings of this research by US experts confirm that the technique known as Syn-SAA can accurately detect people with the neurodegenerative disease, as well as individuals at risk for it and others with early, non-motor symptoms prior to diagnosis. .
Study co-author Andrew Siderowf, of the University of Pennsylvania College of Medicine, believes that “Recognizing heterogeneity in underlying pathology among patients with Parkinson’s disease has been a great challenge.”
Siderowf points out that “Identifying an effective biomarker for Parkinson’s disease could have profound implications for how we treat the condition, potentially making it possible to diagnose earlier, identify the best treatments, and speed up clinical trials.”
These findings suggest, according to the expert, that Syn-SAA is “highly accurate” when detecting the biomarker of Parkinson’s disease without taking into account the clinical characteristics “making it possible to accurately diagnose the disease in its early stages.”
In arriving at their results, the research authors evaluated the utility of Syn-SAA for identifying underlying heterogeneity in people with this condition.
They also assessed its ability to detect early signs of the disease in a study of 1,123 participants, some diagnosed with Parkinson’s and others carriers of linked HGBA and LRRK2 gene variants.
The scientists took samples of the cerebrospinal fluid that surrounds the brain and spinal cord and analyzed them using Syn-SAA.
They found that the aforementioned technique can identify people with Parkinson’s disease with great precision, with positive results in 88% of participants with a diagnosis.
They also noted that the clinical trait that most strongly predicted a positive outcome was loss of smell.
Source: EFE
Source: Gestion
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