ArticleJournal of neurology2023
Presymptomatic geographical distribution of ALS patients suggests the involvement of environmental factors in the disease pathogenesis.
Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Using big data to search for possible geographic clustering of Congenital Heart Disease (CHD) across Australia.PLOS digital health · 2026Article
- Analysis and comparison of the trends in the burden of motor neuron disease in China and worldwide from 1990 to 2021.PloS one · 2026Article
- Clinical characterization of common pathogenic variants of SOD1-ALS in Germany.Journal of neurology · 2024Article
- Update on recent advances in amyotrophic lateral sclerosis.Journal of neurology · 2024Review
- Hereditary Transthyretin Amyloidosis (hATTR) with Polyneuropathy Clusters Are Located in Ancient Mining Districts: A Possible Geochemical Origin of the Disease.Biomolecules · 2024Review
- Copper toxicity and deficiency: the vicious cycle at the core of protein aggregation in ALS.Frontiers in molecular neuroscience · 2024Review
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Authors and funding
20 authors.
Funding
Abstract
backgroundGiven that the pathogenetic process of ALS begins many years prior to its clinical onset, examining patients' residential histories may offer insights on the disease risk factors. Here, we analyzed the spatial distribution of a large ALS cohort in the 50 years preceding the disease onset.
methodsData from the PARALS register were used. A spatial cluster analysis was performed at the time of disease onset and at 1-year intervals up to 50 years prior to that.
resultsA total of 1124 patients were included. The analysis revealed a higher-incidence cluster in a large area (435,000 inhabitants) west of Turin. From 9 to 2 years before their onset, 105 cases were expected and 150 were observed, resulting in a relative risk of 1.49 (P = 0.04). We also found a surprising high number of patients pairs (51) and trios (3) who lived in the same dwelling while not being related. Noticeably, these occurrences were not observed in large dwellings as we would have expected. The probability of this occurring in smaller buildings only by chance was very low (P = 0.01 and P = 0.04 for pairs and trios, respectively).
conclusionsWe identified a higher-incidence ALS cluster in the years preceding the disease onset. The cluster area being densely populated, many exposures could have contributed to the high incidence ALS cluster, while we could not find a shared exposure among the dwellings where multiple patients had lived. However, these findings support that exogenous factors are likely involved in the ALS pathogenesis.
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