Emerging biophysical techniques for probing synaptic transmission in neurodegenerative disorders

MB Kale, NL Wankhede, AK Bishoyi, S Ballal, R Kalia… - Neuroscience, 2024 - Elsevier
Plethora of research has shed light on the critical role of synaptic dysfunction in various
neurodegenerative disorders (NDDs), including Alzheimer's disease (AD), Parkinson's …

Sha** a data-driven era in dementia care pathway through computational neurology approaches

KF Wong-Lin, PL McClean, N McCombe, D Kaur… - BMC medicine, 2020 - Springer
Background Dementia is caused by a variety of neurodegenerative diseases and is
associated with a decline in memory and other cognitive abilities, while inflicting an …

Integrated algorithm combining plasma biomarkers and cognitive assessments accurately predicts brain β-amyloid pathology

F Pan, Y Huang, X Cai, Y Wang, Y Guan… - Communications …, 2023 - nature.com
Background Accurate prediction of cerebral amyloidosis with easily available indicators is
urgently needed for diagnosis and treatment of Alzheimer's disease (AD). Methods We …

An overview of several inhibitors for Alzheimer's disease: characterization and failure

S Boopathi, AB Poma, R Garduño-Juárez - International journal of …, 2021 - mdpi.com
Amyloid beta (Aβ) oligomers are the most neurotoxic aggregates causing neuronal death
and cognitive damage. A detailed elucidation of the aggregation pathways from oligomers to …

[HTML][HTML] Experimental modelling of Alzheimer's disease for therapeutic screening

L Blaikie, G Kay, P Maciel, PKT Lin - European Journal of Medicinal …, 2022 - Elsevier
Neurodegenerative diseases, including Alzheimer's disease (AD), pose a significant and
urgent challenge to healthcare systems worldwide. With an increasing life expectancy, these …

Effect of acetylcholine deficiency on neural oscillation in a brainstem-thalamus-cortex neurocomputational model related with Alzheimer's disease

H Yang, XL Yang, SL Yan, ZK Sun - Scientific Reports, 2022 - nature.com
Previous works imply that involving brainstem in neuropathological studies of Alzheimer's
disease (AD) is of clinically significant. This work constructs a comprehensive neural mass …

[HTML][HTML] Alzheimer's disease: Current perspectives and advances in physiological modeling

E Josephine Boder, IA Banerjee - Bioengineering, 2021 - mdpi.com
Though Alzheimer's disease (AD) is the most common cause of dementia, complete disease-
modifying treatments are yet to be fully attained. Until recently, transgenic mice constituted …

Computational evaluation of the potential pharmacological activity of salen-type ligands in Alzheimer's disease

N Puentes-Díaz, D Chaparro… - Journal of …, 2024 - content.iospress.com
Background: Alzheimer's disease (AD) is the most common form of dementia representing
from 60% to 70% of the cases globally. It is a multifactorial disease that, among its many …

Metabolic alterations in the outer membrane vesicles of patients with Alzheimer's disease: an lc-ms/ms-based metabolomics analysis

SC Wei, W Wei, WJ Peng, Z Liu… - Current Alzheimer …, 2019 - ingentaconnect.com
Objective: To characterize the specific metabolomics profiles in the outer membrane vesicles
(OMVs) of patients with Alzheimer's Disease (AD) and to explore potential metabolic …

Molecular Dynamics and Binding Energetics of Fluspirilene With BACE1: Implications for Alzheimer's Disease Intervention

K Bhattacharya, A Bhattacharjee… - Peptide …, 2024 - Wiley Online Library
Alzheimer's disease (AD) is a serious neurodegenerative disorder that results in cognitive
deterioration, amnesia, and alterations in behavior, rendering it a significant issue in public …