The October issue of the Journal of the Neurological Sciences Vol 453 is now available online.
Research Article Myasthenia gravis patients exhibiting an eyelid myotonia-like phenomenonAbraham et al. Published online: August 31, 2023 We report here a retrospective case series of 3 MG patients suffering from difficulty opening eyes that appeared together with a diagnosis of MG. All are male patients with late-onset MG who are seropositive for anti-acetylcholine receptor antibodies. The phenomenon was characterized by difficulty opening the eyes after forced closure or reflex eye closure, improving with the ice pack test and with repeated forced eye closure but worsening with pyridostigmine treatment. This study expands our knowledge of this rare clinical feature of MG and highlights the need for increased awareness of it and further investigation of this ocular manifestation. |
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Research Article | Open Access
Switching between anti-calcitonin gene-related peptide monoclonal antibodies: A comparison of monthly and quarterly dosingIhara et al.Published online: September 15, 2023 Anti-calcitonin gene-related peptide monoclonal antibodies (CGRPmAbs) have dramatically changed preventive treatment options for patients with migraine. Although there is emerging real-world evidence on the use of CGRPmAbs globally, the change in efficacy and safety after switching between CGRPmAbs owing to patients' frequency of hospital visits preference remains unknown. We conducted a single-centre, retrospective, real-world study of patients with migraine who first received galcanezumab for 3 or 4 months and then switched to fremanezumab at Keio University Hospital. We investigated changes in monthly migraine days (MMD), responder rate, and adverse effects such as injection site reactions. After switching from galcanezumab to fremanezumab out of the desire to visit the hospital less often, the reduction in MMD compared to baseline was sustained, and no serious adverse effects were observed. |
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Research Article
Magnetic resonance imaging detection of deep gray matter iron deposition in multiple sclerosis: A systematic reviewDe Lury et al.Published online: September 28, 2023 Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease involving immune-mediated damage. Iron deposition in deep gray matter (DGM) structures like the thalamus and basal ganglia have been suggested to play a role in MS pathogenesis. In this systematic review, we evaluated the role of DGM iron deposition as detected by MRI techniques in relation to MS-related neuroinflammation and its potential as a novel therapeutic target. We searched through PubMed, Embase, and Web of Science databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, against predetermined inclusion and exclusion criteria. The review revealed that iron deposition in DGM is independent yet concurrent with demyelination, and that these iron deposits contribute to MS-related cognitive impairment and disability. Variability in iron distributions appears to rely on a positive feedback loop between inflammation, and release of iron by oligodendrocytes. DGM iron seems to be a promising prognostic biomarker for MS pathophysiology. |
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Research Article
Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's diseaseWang et al.Published online: September 22, 2023 Metabolic biomarkers can potentially inform disease progression in Alzheimer's disease (AD). The purpose of this study is to identify and describe a new set of diagnostic biomarkers for developing deep learning (DL) tools to predict AD using Ultra Performance Liquid Chromatography Mass Spectrometry (UPLC-MS/MS)-based metabolomics data. This study identified a new set of diagnostic metabolomic biomarkers for developing DL tools to predict AD. These biomarkers may help with early diagnosis, prognostic risk stratification, and/or early treatment interventions for patients at risk for AD. |