Results 151 to 160 of about 126,178 (268)

Systemic apolipoprotein C-III amyloidosis in an Asian lion (Panthera leo persica). [PDF]

open access: yesJ Vet Med Sci
Kobayashi N   +7 more
europepmc   +1 more source

Co‐ and Multi‐Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review

open access: yesMovement Disorders, EarlyView.
Abstract Parkinson's disease (PD) has been historically defined as a disease of striatal dopamine deficiency secondary to degeneration of dopaminergic neurons in the substantia nigra pars compacta, related to the presence of Lewy bodies and Lewy neurites.
Michele Matarazzo   +10 more
wiley   +1 more source

Greater Motor and Nonmotor Burden at Diagnosis Is Associated With Amyloid Copathology in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Concurrent Alzheimer's disease pathology is increasingly recognized as a poor prognostic factor in Parkinson's disease (PD), yet reliable clinical indicators for early identification of AD copathology remain poorly established.
Han Kyu Na   +11 more
wiley   +1 more source

Joint Risk Factor Combinations with Additive Interaction Increase the Risk of Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Combined effects of multiple risk factors on incident late‐onset Parkinson's disease (PD; LOPD) remain poorly characterized. Objective The objective of this study was to quantify the impact of joint risk exposures and estimate the contribution of potentially modifiable factors to incident LOPD risk.
Andrea Quattrone   +5 more
wiley   +1 more source

APOE ε2/ε3 is associated with multi-layered protection against prostate cancer in Chinese men. [PDF]

open access: yesWorld J Urol
Wang K   +11 more
europepmc   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

open access: yesNeuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu   +6 more
wiley   +1 more source

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