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http://dx.doi.org/10.1134/s001249660606007x | DOI Listing |
Alzheimers Dement
December 2024
Department of Neurology and Neurological Sciences Stanford University School of Medicine, Stanford, CA, USA.
Dementia patients often received one clinical diagnosis, yet most of these cases present multiple underlying pathologies. Bringing the transition from clinical-based to biological-based diagnosis holds promise with the diagnostic criteria proposed by the Alzheimer's Association (AA) Revised Criteria for Diagnosis and Staging of Alzheimer's Disease and the Neuronal Synuclein Disease Integrated Staging System (NSD-ISS). This session aims to explore the practical implications of the AA revised criteria for diagnosing and designing clinical trials in Lewy body disease (LBD).
View Article and Find Full Text PDFBackground: Small, soluble oligomers, rather than mature fibrils, are the major neurotoxic agents in Alzheimer's disease (AD). In the last few years, Aprile and co-workers designed and purified a single-domain antibody (sdAb), called DesAb-O, with high specificity for Aβ oligomeric conformers. Recently, Cascella and co-workers showed that DesAb-O can selectively detect synthetic Aβ oligomers both in vitro and in cultured cells, neutralizing their associated neuronal dysfunction.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Real-World data platforms for Alzheimer's Disease (AD) offer a unique opportunity to improve health equity through better understanding of health disparities and inclusivity in research, which is critical to translatability of research findings. AD research in the US and globally remains largely inaccessible to many individuals due to individual-level, study-level, investigator-level and larger systemic barriers. ALZ-NET, a US-based registry to evaluate longitudinal outcomes of patients being evaluated for or treated with novel FDA-approved AD therapy, and New IDEAS, an observational US-based longitudinal study of amyloid PET clinical utility, both offer opportunities for examining care, inclusivity, and disparities.
View Article and Find Full Text PDFBackground: Solanezumab, a promising treatment for Alzheimer's disease, has captured the attention of the medical community. This monoclonal antibody is designed to target and clear beta-amyloid plaques, a hallmark feature of Alzheimer's, from the brain. While initial clinical trials showed mixed results, ongoing research is exploring its potential to slow cognitive decline and improve the lives of those affected by this devastating neurodegenerative condition.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.
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