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Background: While analysing trends in occupational mortality in England and Wales, we noticed an unexpectedly elevated proportion of deaths from multiple sclerosis (MS) among men in the armed forces.
Aims: To document and explore possible explanations for the observed excess.
Methods: We analysed data on underlying cause of death and last full-time occupation for 3,688,916 deaths among men aged 20-74 years in England and Wales during 1979-2010, calculating proportional mortality ratios (PMRs) standardised for age. We compared PMRs for MS in the armed forces with those for each main social class, and in selected other occupations. We also compared PMRs for MS with those for motor neurone disease (MND).
Results: The overall PMR for MS in the armed forces during 1979-2010 was 243 (95%CI 203-288). The excess was apparent in each of three separate decades of study (PMRs, ranging from 220 to 259), and across the entire age range. PMRs for MS were not elevated to the same extent in comparator occupations, nor in any of the main social classes. There was no parallel increase in PMRs for MND.
Conclusions: These findings suggest that the high proportional mortality from MS in British military personnel is unlikely to have occurred by chance, or as an artefact of the method of investigation. However, the only military cohort study with published results on MS does not support an increased risk. It would be useful to analyse data on MS from other established military cohorts, to check for evidence of a hazard.
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http://dx.doi.org/10.1093/occmed/kqx083 | DOI Listing |
World Neurosurg
September 2025
Division of Neurosurgery, Department of Neurological Sciences, Università degli Studi di Napoli Federico II, Naples, Italy.
We present a case of third ventricle colloid cyst surgical resection using a tubular-based endoscopic transcortical approach. Third ventricle colloid are rare benign lesions typically found in the anterolateral part of the third ventricle, close to the foramen of Monro. Several surgical approaches have been employed for their management.
View Article and Find Full Text PDFClin Nutr ESPEN
September 2025
Department of Epidemiology, University of Iowa, Iowa City, IA.
Background & Aims: People with multiple sclerosis (MS) may be predisposed to malnutrition as several malnutrition risk factors are common among this group; however, evidence on malnutrition in MS is sparse. Therefore, the aim of the present study is to explore what is known about malnutrition in MS.
Methods: A scoping review was performed in 5 databases (Ovid Medline, Embase, Cochrane Central, Scopus, and the Web of Science Core Collection) in February 2024.
Neurotherapeutics
September 2025
Department of Neurology MC-2030, University of Chicago Biological Sciences Division, Chicago, IL, USA. Electronic address:
J Neurosci Methods
September 2025
European Laboratory for Non-linear Spectroscopy, via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; National Institute of Optics -National Research Council (CNR-INO), 50125 Sesto Fiorentino, Italy. Electronic address:
Background: Tissue clearing techniques combined with light-sheet fluorescence microscopy (LSFM) enable high-resolution 3D imaging of biological structures without physical sectioning. While widely used in neuroscience to determine brain architecture and connectomics, their application for spinal cord mapping remains more limited, posing challenges for studying demyelinating diseases like multiple sclerosis. Myelin visualization in cleared tissues is particularly difficult due to the lipid-removal nature of most clearing protocols, and alternative immunolabeling approaches failed to reach satisfying results.
View Article and Find Full Text PDFAnal Biochem
September 2025
College of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
This study aimed to investigate potential biomarkers related to Endoplasmic reticulum (ER) stress in Amyotrophic lateral sclerosis (ALS) through a comprehensive bioinformatic approach. The gene expression profiles of ALS patients and healthy controls were downloaded from the Gene Expression Omnibus (GEO) database. ER stress-related genes were collected from the MSigDB databases and document literature.
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