Results 261 to 270 of about 9,561,546 (382)

Discriminating α-synuclein strains in Parkinson’s disease and multiple system atrophy

open access: yesNature, 2020
M. Shahnawaz   +14 more
semanticscholar   +1 more source

Quantitative Profiling of Nanoscopic Protein Aggregates Reveals Specific Fingerprint of TDP‐43‐Positive Assemblies in Motor Neuron Disease

open access: yesAdvanced Science, EarlyView.
Single‐molecule fluorescence microscopy is combined with proteomic profiling to fingerprint the morphology and composition of TDP‐43 protein aggregates found in post‐mortem motor neuron disease brain tissues. Aggregate fingerprints can distinguish disease from control donors and detect unexpected TDP‐43 pathology in SOD1‐MND.
Dezerae Cox   +9 more
wiley   +1 more source

Metabolic Parkinson's disease. [PDF]

open access: yesFront Aging Neurosci
Invernizzi F   +8 more
europepmc   +1 more source

Elevated Apolipoprotein E Expression in Hippocampal Microglia Drives Temporal Lobe Epilepsy Progression

open access: yesAdvanced Science, EarlyView.
In temporal lobe epilepsy, hippocampal APOE is markedly upregulated predominantly in microglia. APOE overexpression in microglia drives TLR4 and cGAS/STING‐dependent neuroinflammation, engages bidirectional crosstalk with neurons and astrocytes, increases neuronal excitability, and perturbs hippocampal lipid metabolism. These findings suggest that APOE‐
Jianwei Shi   +10 more
wiley   +1 more source

Glymphatic dysfunction as a potential driver of cerebral iron deposition in Parkinson's disease. [PDF]

open access: yesBrain Commun
Chen K   +9 more
europepmc   +1 more source

Electrical stimulation of the subthalamic nucleus in advanced Parkinson's disease.

open access: yesNew England Journal of Medicine, 1998
P. Limousin   +6 more
semanticscholar   +1 more source

Identifying Tipping Points during Healthy Brain Aging through Single‐Nucleus Transcriptomic Analysis

open access: yesAdvanced Science, EarlyView.
This study applies single‐nucleus transcriptomics and systems dynamics to uncover nonlinear aging patterns in healthy human brains. By introducing dynamic network biomarker theory, the authors identify a critical tipping point at ages 56–60 during aging, and highlight glial instability as a key mediator.
Peiru Wu   +9 more
wiley   +1 more source

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