Agorithm from Blood-Based Alzheimer’s Biomarkers

In a study appearing in the newest issue of the Archives of Neurology, members of the Texas Alzheimer’s Research Consortium reported that they have identified protein biomarkers in the blood that can be used to distinguish between individuals with and without Alzheimer’s disease.
The researchers compared protein patterns in blood samples from hundreds of individuals with or without Alzheimer’s disease and incorporated these potential biomarkers into an algorithm for detecting Alzheimer’s cases in a test group. Their results so far suggest this algorithm can accurately classify most Alzheimer’s cases — particularly when combined with APOE status and demographic data.
And, they said, information from the biomarker study is offering clues about possible sub-groups within Alzheimer’s. For instance, by looking at some of the proteins that are frequently expressed at different levels in the blood of those with Alzheimer’s disease, the team identified a potential subset of individuals with inflammation-related biomarker patterns.

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