Nrf2 pathways in neuroprotection: Alleviating mitochondrial dysfunction and cognitive impairment in aging
Mitochondrial dysfunction and cognitive impairment are widespread phenomena among the
elderly, being crucial factors that contribute to neurodegenerative diseases. Nuclear factor …
elderly, being crucial factors that contribute to neurodegenerative diseases. Nuclear factor …
[HTML][HTML] Nanotechnology and nucleic acid nanoparticles for treatment of metabolic disorders
Metabolic disorders result from inborn and acquired dysfunction of organs and tissues that
are responsible for producing energy in the body. These diseases are now among the most …
are responsible for producing energy in the body. These diseases are now among the most …
Why is iron deficiency/anemia linked to Alzheimer's disease and its comorbidities, and how is it prevented?
K Fehsel - Biomedicines, 2023 - mdpi.com
Impaired iron metabolism has been increasingly observed in many diseases, but a deeper,
mechanistic understanding of the cellular impact of altered iron metabolism is still lacking. In …
mechanistic understanding of the cellular impact of altered iron metabolism is still lacking. In …
Integrating chemical analysis with in vitro, in silico, and network pharmacology to discover potential functional compounds from Marrubium astracanicum subsp …
ÖK Avşar, S Kasbolat, G Ak, G Caprioli… - Journal of Molecular …, 2024 - Elsevier
The members of the genus Marrubium are of great interest because they contain biologically
active compounds. With in this mind, we aimed to examine the chemical profiles and …
active compounds. With in this mind, we aimed to examine the chemical profiles and …
Saponin components in Polygala tenuifolia as potential candidate drugs for treating dementia
S Li, Z Hou, T Ye, X Song, X Hu, J Chen - Frontiers in Pharmacology, 2024 - frontiersin.org
Objective This study aims to elucidate the intervention effects of saponin components from
Polygala tenuifolia Willd (Polygalaceae) on dementia, providing experimental evidence and …
Polygala tenuifolia Willd (Polygalaceae) on dementia, providing experimental evidence and …
A Scalable High Throughput Fully Automated Pipeline for the Quantification of Amyloid Pathology in Alzheimer's Disease using Deep Learning Algorithms
V Gopal Ramaswamy, M Ahirwar, G Ryan… - bioRxiv, 2023 - biorxiv.org
The most common approach to characterize neuropathology in Alzheimer's disease (AD)
involves a manual survey and inspection by an expert neuropathologist of postmortem …
involves a manual survey and inspection by an expert neuropathologist of postmortem …
Machine Learning and Deep Learning Techniques for Alzheimer's Disease Prediction Using CSF and Plasma Biomarkers
AR Zouaoui, H Bentahar, M Djeriuoi… - … on Networking and …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurodegenerative disease with vast worldwide
consequences. Timely and accurate diagnosis is crucial but present methods are costly and …
consequences. Timely and accurate diagnosis is crucial but present methods are costly and …
Convolutional Neural Networks for Alzheimer's Disease
J Hu - 2023 - preprints.org
Alzheimer's disease (AD) is a progressive and evolving neurodegenerative disease with an
insidious onset that can lead to memory loss and cognitive impairment. There is no effective …
insidious onset that can lead to memory loss and cognitive impairment. There is no effective …
Alzheimer's Disease Investigated via Gene-Environment Interactions, Biochemical Pathways, Cellular Processes, and Disease Phenotype Variability
V Shafi, I Siddiqui - 2024 - researchsquare.com
Background: Alzheimer's disease (AD) is a neurodegenerative disorder influenced by
genetic and environmental factors. APOE, APP, PSEN1, PSEN2, CLU, SORL1, BIN1, CR1 …
genetic and environmental factors. APOE, APP, PSEN1, PSEN2, CLU, SORL1, BIN1, CR1 …