Background And Purpose: There is evidence of a relationship between promyelinating proteins and clinical multiple sclerosis (MS) activity during clinical relapse or recovery from clinical relapses. We examined the linkage between promyelinating biomarkers and volumetric changes in MS subjects during serial magnetic resonance imaging (MRI).
Methods: We enrolled 13 MS subjects with active brain MRI scans not on disease modifying therapies. Subjects underwent baseline MRI, serum, and cerebrospinal fluid (CSF) sampling. Qualitative changes, new/resolving gadolinium, new/enlarging/diminishing T2 and T1 hypointense lesions, were compared to baseline in subsequent MRI scans, and volumetric analysis was calculated. Analysis of biomarkers on serial CSF samples was performed only in subjects with qualitative (and quantitative) changes on MRI. The study was performed at a MS Center of Excellence academic medical center.
Results: There was increased CSF neural cell adhesion molecule (N-CAM) during increased qualitative T1 activity. A positive correlation between CSF and serum N-CAM and T1 lesion volume was observed. A negative correlation between serum brain-derived neurotrophic factor (BDNF) and BPH (T1 vol/T2 vol + T1 vol) was observed.
Conclusions: Increased N-CAM levels may be related to repair or remyelination following injury to the brain as shown by increased T1 volumes. Our data suggest an early kind of blood signaling that induces release of peripheral BDNF levels.
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http://dx.doi.org/10.1111/jon.12605 | DOI Listing |
Sensors (Basel)
December 2024
Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa Street, 02-008 Warsaw, Poland.
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early detection is crucial for effective intervention strategies, this study investigates whether the structural analysis of selected brain regions, including volumes and their spatial relationships obtained from regular T1-weighted MRI scans ( = 168, PPMI database), can model stages of PD using standard machine learning (ML) techniques. Thus, diverse ML models, including Logistic Regression, Random Forest, Support Vector Classifier, and Rough Sets, were trained and evaluated.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Research Department of Imaging Physics and Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, UK.
MR elastography is a non-invasive imaging technique that provides quantitative maps of tissue biomechanical properties, i.e., elasticity and viscosity.
View Article and Find Full Text PDFNutrients
December 2024
Department of Neurology, Rutgers University, New Brunswick, NJ 08854, USA.
Background: Coffee and tea are widely consumed beverages, but their long-term effects on cognitive function and aging remain largely unexplored. Lifestyle interventions, particularly dietary habits, offer promising strategies for enhancing cognitive performance and preventing cognitive decline.
Methods: This study utilized data from the UK Biobank cohort ( = 12,025) to examine the associations between filtered coffee, green tea, and standard tea consumption and neural network functional connectivity across seven resting-state networks.
Nutrients
December 2024
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Background: Dietary intake of polyunsaturated fatty acids (PUFA) plays a significant role in the onset and progression of neurodegenerative diseases. Since the neuroprotective effects of n-3 PUFA have been widely validated, the role of n-6 PUFA remains debated, with their underlying mechanisms still not fully understood.
Methods: In this study, 169,295 participants from the UK Biobank were included to analyze the associations between dietary n-6 PUFA intake and neurodegenerative diseases using Cox regression models with full adjustments for potential confounders.
Pathogens
November 2024
Centre de Résonance Magnétique Biologique et Médicale (CRMBM) UMR 7339, Faculté des Sciences Médicales et Paramédicales la Timone, Aix-Marseille Université, CNRS, 13055 Marseille, France.
Cerebral malaria (CM), the most lethal clinical syndrome of infection, mostly affects children under 5 in sub-Saharan Africa. CM is characterized by seizures and impaired consciousness that lead to death in 15-20% of cases if treated quickly, but it is completely fatal when untreated. Brain magnetic resonance imaging (MRI) is an invaluable source of information on the pathophysiology of brain damage, but, due to limited access to scanners in endemic regions, only until very recently have case reports of CM patients studied with advanced MRI methods been published.
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