Abstract by Adam Kotter

Personal Infomation

Presenter's Name

Adam Kotter

Degree Level


Abstract Infomation


Chemistry and Biochemistry

Faculty Advisor

Steven Graves


Alzheimer’s disease diagnosis with lipid serum biomarkers


Alzheimer’s disease (AD) is the 6th leading cause of death in the U.S. There are currently no quantitative tests to diagnose AD, but quantitative blood tests are critical to drug development. Among newer ways to develop blood tests are serum ‘omics’ methods that use mass spectrometry (MS) to compare large numbers of molecular species in the serum of subjects with and without AD.

Previously, we used a serum lipidomic approach with MS to discover diagnostic AD biomarkers. We are currently looking for better biomarkers by adding a liquid chromatography (LC) step prior to MS analysis. This will allow us to observe and characterize many more species. In the past the number of peaks exceeded our software’s ability to track, so we will bin mass regions to simplify initial analysis before analyzing the statistically significant bins in more detail.

My specific aim is to develop the rapid-analysis software for the LC-MS data. I will use Python to bin the data based on mass-to-charge ratio and perform statistical analyses to determine which bins and features best diagnose AD. I anticipate that this will accommodate the many MS peaks that we observe using the LC-MS lipidomics approach.