Publication Date

Fall 2025

Degree Type

Master's Project

Degree Name

Master of Science in Bioinformatics (MSBI)

Department

Computer Science

First Advisor

Dr. Leonard Wesley

Second Advisor

Dr. William Andreopoulos

Third Advisor

Dr. Ningkun Wang

Keywords

Alzheimer’s Disease, TARDBP, TDP-43, Epigenetics, Genes, Neurodegenerative Disease

Abstract

Alzheimer’s disease (AD), a neurodegenerative disease generally known to be one of the causes of dementia, continues to be the subject of research. TDP-43, a DNA-binding protein, was linked to other neurodegenerative diseases, yet its role in AD prognosis remains unknown. Recent studies have shown that 30% - 40% of cognitively normal (CN) individuals display the hallmarks of AD (Aβ and tau buildup) but are not diagnosed with the disease. This indicates the possible existence of a protective mechanism to counter the effects of Aβ and tau buildup. The work reported here utilized the ADNI study dataset and the Programming language Python to analyze the significance of TDP-43 and aimed to link TDP-43 expression to AD prognosis. AV45 PET scans of 138 CN subjects were analyzed to determine Aβ buildup and location. Gene expression data for AD, CN, and MCI subjects from the ADNI were analyzed using statistical hypothesis testing to determine if TDP-43 gene expression played a role in AD diagnosis. No statistical significance of TDP-43 was found between the three studied groups. These findings fail to link TDP-43 gene expression to AD prognosis due to limited and incomplete data; further research is necessary to determine if TDP-43 plays a significant role in AD. All data were obtained from the ADNI website (https://adni.loni.usc.edu/).

Available for download on Thursday, December 17, 2026

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