MSACL 2019 US Abstract

Self-Classified Topic Area(s): Metabolomics

Vascular Biomarkers to Predict Response to Exercise in Alzheimer’s Disease

Danni Li, Michael Shyne, Michael Tsai, Ling Li, David Vock, Fang Yu
University of MInnesota

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Danni Li (Presenter)
University of Minnesota

Presenter Bio: Danni Li, PhD, DABCC, is the Director of Clinical Chemistry at the University of Minnesota Medical Center, Fairview and an Assistant Professor of Laboratory Medicine and Pathology at the University of Minnesota, Twin Cities. Dr. Li has developed her independent research program in applying proteomics and lipidomics to discover plasma biomarkers in Alzheimer’s disease.

Relevant Financial Disclosures (within past 24 months)

Grant/Research Support NIH, Alzheimer\'s Associaton, CDC

Committee/Board/Advisory Board CAP Standards Committee

Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above.

Conflict mitigation NOT REQUIRED.

Abstract

Exercise has recently been identified as a promising treatment for slowing the progression of Alzheimer’s disease (AD). The objective of this pilot study was to estimate effect sizes for power calculation in a future large-scale study to develop a plasma metabolite-based prediction of cognitive responses to exercise in AD. This pilot study constitute a first step toward future studies to develop personalized exercise treatments in AD.