Blood protein predictors of brain amyloid for enrichment in clinical trials?
Autor: | Ashton, Nicholas J, Kiddle, Steven J, Graf, John, Ward, Malcolm, Baird, Alison L, Hye, Abdul, Westwood, Sarah, Wong, Karyuan Vivian, Dobson, Richard J, Rabinovici, Gil D, Miller, Bruce L, Rosen, Howard J, Torres, Andrew, Zhang, Zhanpan, Thurfjell, Lennart, Covin, Antonia, Hehir, Cristina Tan, Baker, David, Bazenet, Chantal, Lovestone, Simon, AIBL Research Group |
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Rok vydání: | 2015 |
Předmět: |
Proteomics
Fibrinogen γ-chain Aging screening and diagnosis Prevention Clinical Trials and Supportive Activities β amyloid Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) Biomarker Alzheimer's disease Neurodegenerative Brain Disorders 4.1 Discovery and preclinical testing of markers and technologies Plasma Detection Clinical trials Clinical Research AIBL Research Group Neurological Acquired Cognitive Impairment Genetics Dementia |
Zdroj: | Alzheimer's & dementia (Amsterdam, Netherlands), vol 1, iss 1 |
Popis: | BackgroundMeasures of neocortical amyloid burden (NAB) identify individuals who are at substantially greater risk of developing Alzheimer's disease (AD). Blood-based biomarkers predicting NAB would have great utility for the enrichment of AD clinical trials, including large-scale prevention trials.MethodsNontargeted proteomic discovery was applied to 78 subjects from the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing with a range of NAB values. Technical and independent replications were performed by immunoassay.ResultsSeventeen discovery candidates were selected for technical replication. α2-Macroglobulin, fibrinogen γ-chain (FGG), and complement factor H-related protein 1 were confirmed to be associated with NAB. In an independent cohort, FGG plasma levels combined with age predicted NAB had a sensitivity of 59% and specificity of 78%.ConclusionA single blood protein, FGG, combined with age, was shown to relate to NAB and therefore could have potential for enrichment of clinical trial populations. |
Databáze: | OpenAIRE |
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