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Articles 1 - 4 of 4
Full-Text Articles in Disease Modeling
Microbial Metabolite Regulation Of Microglial Ahr Signaling In Alzheimer’S Disease, Ghalya E. Alrousan
Microbial Metabolite Regulation Of Microglial Ahr Signaling In Alzheimer’S Disease, Ghalya E. Alrousan
Dissertations and Theses (Open Access)
Introduction: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaque accumulation, neuroinflammation, and cognitive decline. Recent evidence suggests that systemic factors, particularly the gut microbiota and its metabolites, play a significant role in shaping brain immune responses, including microglial activation. However, the mechanisms linking gut dysbiosis to microglial dysfunction in AD are poorly understood. The aryl hydrocarbon receptor (AHR), a ligand-activated transcription factor responsive to tryptophan metabolites, has recently gained attention as a key regulator of neuroinflammation and microglial function. I hypothesize that the loss of beneficial microbial AHR ligands, specifically indole derivatives, during aging and AD …
Enhancing The Accuracy Of Image Classification For Degenerative Brain Diseases With Cnn Ensemble Models Using Mel-Spectrograms, Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim
Enhancing The Accuracy Of Image Classification For Degenerative Brain Diseases With Cnn Ensemble Models Using Mel-Spectrograms, Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim
Mathematics & Statistics Faculty Publications
Alzheimer’s disease (AD) and Parkinson’s disease (PD) are prevalent neurodegenerative disorders among the elderly, leading to cognitive decline and motor impairments. As the population ages, the prevalence of these neurodegenerative disorders is increasing, providing motivation for active research in this area. However, most studies are conducted using brain imaging, with relatively few studies utilizing voice data. Using voice data offers advantages in accessibility compared to brain imaging analysis. This study introduces a novel ensemble-based classification model that utilizes Mel spectrograms and Convolutional Neural Networks (CNNs) to distinguish between healthy individuals (NM), AD, and PD patients. A total of 700 voice …
Light Dependent Endolysosomal Defects In A Photoreceptor Model Of Alzheimer's Disease, Michelle S. Smith
Light Dependent Endolysosomal Defects In A Photoreceptor Model Of Alzheimer's Disease, Michelle S. Smith
Undergraduate Honors Theses
Alzheimer’s disease (AD) is a neurodegenerative disease which is the 6th leading cause of death in the US. AD pathology is thought to be linked to the accumulation and aggregation of toxic proteins, amyloid-beta and tau. AD development and neurodegeneration is proposed to be caused by the toxic effects of these protein accumulations, specifically amyloid-beta, as postulated by the amyloid-cascade hypothesis. To study the relationship between amyloid-beta and overall neuronal health, a study was carried out using an amyloid-expressing fruit fly photoreceptor model. Using this model, toxicity of amyloid in a stressed lysosomal system induced by light, an established …
Editorial: Biology Of Cognitive Aging: Model Systems, Technologies, And Beyond, Shin Murakami
Editorial: Biology Of Cognitive Aging: Model Systems, Technologies, And Beyond, Shin Murakami
Faculty Publications & Research of the TUC College of Osteopathic Medicine
The author provides an introduction to a research issue of Frontiers in Genetics on models and techniques related to age-related memory impairment.