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Spatial discrimination in patients with MSA, PSP, DIP, and VP with pain.
Sci Rep
December 2024
Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, 7, Keunjaebong-gil, Hwaseong, Gyeonggi-do, 18450, Republic of Korea.
Article Synopsis
- * A study involving 79 patients revealed high percentages of pain in MSA (73.9%), PSP (50.0%), DIP (67.9%), and VP (66.7%), but found no significant differences in sensory discrimination thresholds (SDT) between those with and without pain.
- * The research concluded that the scaling function did not play a significant role in the development of pain among the different parkinsonian disorders studied.
Examination of plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation in former elite American football players.
Alzheimers Dement
November 2024
Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Article Synopsis
- - Blood-based biomarkers are being explored to detect brain injuries from repetitive head impacts, specifically in former football players, by analyzing plasma levels of various proteins like tau and amyloid.
- - A study involving 180 former football players and 60 control participants found that specific biomarkers (p-tau181 and p-tau231) were significantly elevated in the football players, indicating potential brain damage linked to their sport.
- - The findings suggest that certain plasma proteins (p-tau, GFAP, NfL) could help in understanding and identifying neurological issues related to head impacts, with younger players showing more severe biomarker changes.
GPR37 processing in neurodegeneration: a potential marker for Parkinson's Disease progression rate.
NPJ Parkinsons Dis
September 2024
Pharmacology Unit, Department of Pathology and Experimental Therapeutics, School of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, 08907, L'Hospitalet de Llobregat, Spain.
The orphan G protein-coupled receptor 37 (GPR37), widely associated with Parkinson's disease (PD), undergoes proteolytic processing under physiological conditions. The N-terminus domain is proteolyzed by a disintegrin and metalloproteinase 10 (ADAM-10), which generates various membrane receptor forms and ectodomain shedding (ecto-GPR37) in the extracellular environment. We investigated the processing and density of GPR37 in several neurodegenerative conditions, including Lewy body disease (LBD), multiple system atrophy (MSA), corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), and Alzheimer's disease (AD).
View Article and Find Full Text PDFComputer-Based Evaluation of α-Synuclein Pathology in Multiple System Atrophy as a Novel Tool to Recognize Disease Subtypes.
Mod Pathol
August 2024
Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada; Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada. Electronic address:
Multiple system atrophy (MSA) is a neurodegenerative disorder with variable disease course and distinct constellations of clinical (cerebellar [MSA-C] or parkinsonism [MSA-P]) and pathological phenotypes, suggestive of distinct α-synuclein (αSyn) strains. Neuropathologically, MSA is characterized by the accumulation of αSyn in oligodendrocytic glial cytoplasmic inclusions (GCI). Using a novel computer-based method, this study quantified the size of GCIs, density of all αSyn pathology, density of only the GCIs, and number of GCIs in MSA cases (n = 20).
View Article and Find Full Text PDFA systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions.
PeerJ Comput Sci
April 2024
Department of Computer Science, Faculty of Computing, Federal University of Lafia, Lafia, Nasarawa State, Nigeria.
The automatic speech identification in Arabic tweets has generated substantial attention among academics in the fields of text mining and natural language processing (NLP). The quantity of studies done on this subject has experienced significant growth. This study aims to provide an overview of this field by conducting a systematic review of literature that focuses on automatic hate speech identification, particularly in the Arabic language.
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