1 / 12

Novel Techniques for early detection of Alzheimer’s disease

Novel Techniques for early detection of Alzheimer’s disease. Nicole Sassounian Joshue Leyva.

lowri
Download Presentation

Novel Techniques for early detection of Alzheimer’s disease

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Novel Techniques for early detection of Alzheimer’s disease Nicole Sassounian JoshueLeyva

  2. Plasma phospholipids identify antecedent memory impairment in older adultsMark Mapstone, Amrita K Cheema, Massimo S Fiandaca, XiaogangZhong, Timothy R Mhyre, Linda H MacArthur, William J Hall, Susan G Fisher, Derick R Peterson, James M Haley, Michael D Nazar, Steven A Rich, Dan J Berlau, Carrie B Peltz, Ming T Tan, Claudia H Kawas& Howard J Federoff

  3. Objective • To provide evidence for the use of blood-based biomarkers to detect preclinical Alzheimer’s disease (AD)

  4. Study Methodology • 525 community-dwelling participants • Ages 70 or older • 5-year observational study

  5. Study Methodology • 3 groups • Normal Control • aMCI/AD • Converter  Phenoconversion

  6. Phenoconversion • Individuals who converted to either amnestic MCI or mild AD • Composite measure of memory performance

  7. Metabolite Identification • Method 1: untargeted analysis via LASSO • Revealed • lower phosphatidylinositol in the pre-converter group • higher glycoursodeoxycholic acid in the aMCI/AD group compared to the NC group

  8. Metabolites • Method 2: targeted analysis via SID-MRM-MS • Revealed: • lower plasma levels of serotonin, phenylalanine, proline, lysine, phosphatidylcholine (PC), taurine and acylcarnitine (AC) in pre-converter participants who later phenoconverted to aMCI/AD

  9. Depletion the plasma of the pre-converters but not in the control group • Metabolites remained depleted after phenoconversion to aMCI/AD (post-converters) and were similar to the levels in the aMCI/AD group

  10. Results • Validated plasma metabolite changes that distinguish normal from AD adults • Metabolic panel accuracy: >90% • Detects phenoconversion from normal to aMCI/AD within 2-3 years (average)

  11. Relevant? • Metabolites represent PCs and ACs • Role in function and structure of cell membranes • Plasma membrane deficits in AD patients • AD patients have decreased [PC] in plasma • Amyloid-beta disrupts bilayer integrity • Blood-based biomarkers • Easier, cheaper, faster

  12. Questions?

More Related