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C5 complement inhibition versus FcRn modulation in generalised myasthenia gravis.
J Neurol Neurosurg Psychiatry
January 2025
Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Background: Myasthenia gravis (MG) is an autoimmune disorder affecting neuromuscular junctions, leading to fluctuating muscle weakness. While many patients respond well to standard immunosuppression, a substantial subgroup faces ongoing disease activity. Emerging treatments such as complement factor C5 inhibition (C5IT) and neonatal Fc receptor (FcRn) antagonism hold promise for these patients.
View Article and Find Full Text PDFEfgartigimod efficacy and safety in refractory myasthenia gravis: UK's first real-world experience.
J Neurol Neurosurg Psychiatry
January 2025
Department for Neuromuscular Disease, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
Background: We report our experience of patients with generalised myasthenia gravis (gMG) treated with efgartigimod, an neonatal Fc receptor antagonist, under the Early Access to Medicine Scheme (EAMS) in the UK.
Methods: Data from all UK patients treated with efgartigimod under the EAMS July 2022 to July 2023 were collected retrospectively. Efgartigimod was administered as per the ADAPT protocol (consisting of a treatment cycle of four infusions at weekly intervals with further cycles given according to clinical need).
Distributed model building and recursive integration for big spatial data modeling.
Biometrics
January 2025
Department of Biostatistics, Brown University, Providence, RI 02912, United States.
Motivated by the need for computationally tractable spatial methods in neuroimaging studies, we develop a distributed and integrated framework for estimation and inference of Gaussian process model parameters with ultra-high-dimensional likelihoods. We propose a shift in viewpoint from whole to local data perspectives that is rooted in distributed model building and integrated estimation and inference. The framework's backbone is a computationally and statistically efficient integration procedure that simultaneously incorporates dependence within and between spatial resolutions in a recursively partitioned spatial domain.
View Article and Find Full Text PDFA dual decomposition integration and error correction model for carbon price prediction.
J Environ Manage
January 2025
School of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
Accurately predicting carbon prices is crucial for effective government decision-making and maintenance the stable operation of carbon markets. However, the instability and nonlinearity of carbon prices, driven by the complex interaction between economic, environmental, and political factors, often result in inaccurate predictions. To confront this challenge, this paper proposed a carbon price prediction model that integrates dual decomposition integration and error correction.
View Article and Find Full Text PDFBlood-brain barrier water permeability across the adult lifespan: A multi-echo ASL study.
Neurobiol Aging
January 2025
Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
An emerging biomarker of blood-brain barrier (BBB) permeability is the time of exchange (Tex) of water from the blood to tissue, as measured by multi-echo arterial spin labeling (ASL) MRI. This new non-invasive sequence, already tested in mice, has recently been adapted to humans and optimized for clinical scanning time. In this study, we studied the normal variability of Tex over age and sex, which needs to be established as a reference for studying changes in neurological disease.
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