: Four years ago this Autumn, pioneering neurologist Prof. Allen. D. Roses passed away. Hence, we have taken time to reflect on his work and legacy in Alzheimer's disease (AD) research. Prof. Roses rejected the widely accepted amyloid hypothesis, which identifies amyloid beta (Aβ) protein accumulation within the brain as the cause of AD. Instead, he proposed that the epsilon type 4 allele of apolipoprotein (APOE- Ɛ4) and translocase of outer mitochondrial membrane 40 homolog (TOMM40) were preeminent factors in the pathogenesis and progression of AD, particularly in late-onset AD (LOAD). This rejection of the amyloid hypothesis has generated new investigations into APOE and TOMM40 as risk factors for AD. : We discuss the contributions of Prof. Roses to AD research, describe how APOE-Ɛ4 and TOMM40 have been posited to trigger neuropathological changes leading to AD, and explore paths to future clinical applications built on the foundations of his research. : The unconventional methodology of targeting APOE and TOMM40 offers great potential for the development of effective preventive and disease-modifying AD interventions. Future preclinical and clinical investigations will greatly benefit from the groundbreaking scientific discoveries of Prof. Roses.
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http://dx.doi.org/10.1080/13543784.2021.1849138 | DOI Listing |
Alzheimers Dement (N Y)
January 2025
Indiana Alzheimer Disease Research Center and Center for Neuroimaging, Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis Indiana USA.
Introduction: The exponential growth of genomic datasets necessitates advanced analytical tools to effectively identify genetic loci from large-scale high throughput sequencing data. This study presents Deep-Block, a multi-stage deep learning framework that incorporates biological knowledge into its AI architecture to identify genetic regions as significantly associated with Alzheimer's disease (AD). The framework employs a three-stage approach: (1) genome segmentation based on linkage disequilibrium (LD) patterns, (2) selection of relevant LD blocks using sparse attention mechanisms, and (3) application of TabNet and Random Forest algorithms to quantify single nucleotide polymorphism (SNP) feature importance, thereby identifying genetic factors contributing to AD risk.
View Article and Find Full Text PDFAging Brain
December 2024
University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
A growing amount of data has implicated the gene in the risk for Alzheimer's disease (AD), neurodegeneration, and accelerated aging. No studies have investigated the relationship of rs2075650 ('650 on the structural complexity of the brain or plasma markers of neurodegeneration. We used a comprehensive approach to quantify the impact of '650 on brain morphology and multiple cortical attributes in cognitively unimpaired (CU) individuals.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, University of Kansas School of Medicine, Kansas City, Kansas, USA.
Introduction: TOMM40 and APOC1 variants can modulate the APOE-ε4-related Alzheimer's disease (AD) risk by up to fourfold. We aim to investigate whether the genetic modulation of ε4-related AD risk is reflected in brain morphology.
Methods: We tested whether 27 magnetic resonance imaging-derived neuroimaging markers of neurodegeneration (volume and thickness in temporo-limbic regions) are associated with APOE-TOMM40-APOC1 polygenic profiles using the National Alzheimer's Coordinating Center Uniform Data Set linked to the AD Genetic Consortium data.
medRxiv
November 2024
Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Neurogenetics
November 2024
Department of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
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