A 53-year-old man who had worked for 17 years manufacturing car batteries, with overt exposure to lead, developed a clinical picture initially characterized by signs of parkinsonism, followed by atypical signs such as loss of memory, reduction of eye movement, dysarthria, chorea-like dyskinesia and sexual impotence. The diagnosis of atypical parkinsonism was eventually changed to progressive supranuclear palsy-like parkinsonism. The patient was treated with various anti-Parkinson's disease drugs, including levodopa, with modest improvement. The symptoms deteriorated progressively, leading to permanent occupational disability with noticeable limitation of daily activities. Toxicological studies revealed abnormally high blood levels of lead. Discontinuation of lead exposure was followed first by clinical stabilization and then steady improvement. This case confirms recent reports that link exposure to lead and its compounds with degenerative diseases of the central nervous system, such as Parkinson's disease.
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http://dx.doi.org/10.1177/147323000703500119 | DOI Listing |
Curr Opin Allergy Clin Immunol
January 2025
Department of Pulmonology, Allergy and Thoracic Oncology, University Hospital of Montpellier, Montpellier, France.
Purpose Of Review: Climate change influences working conditions in various ways, affecting employee health and safety across different sectors. Climatic factors like rising temperatures, increased UV radiation, and more frequent extreme weather events pose risks to in both indoor and outdoor workers. Allergic diseases of the respiratory tract and the skin may emerge due to climate change.
View Article and Find Full Text PDFBackground: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.
View Article and Find Full Text PDFFew of the many chemicals that regulatory agencies are charged with assessing for risk have been carefully tested for developmental neurotoxicity (DNT). To speed up testing efforts, as well as to reduce the use of vertebrate animals, great effort is being devoted to alternate laboratory models for testing DNT. A major mechanism of DNT is altered neuronal architecture resulting from chemical exposure during neurodevelopment.
View Article and Find Full Text PDFFront Pediatr
January 2025
Gansu University of Chinese Medicine, Lanzhou, Gansu Province, China.
Background: Previous research has demonstrated that exposure to individual heavy metals elevates the incidence rate of congenital heart defects (CHDs). However, there is a paucity of data concerning the relationship between combined exposure to multiple heavy metals and the occurrence of CHDs. This study seeks to investigate the association between combined heavy metal exposure in pregnant women and the incidence of CHDs in their offspring in Lanzhou, China.
View Article and Find Full Text PDFGlob Epidemiol
June 2025
Business Analytics (BANA) Program, Business School, University of Colorado, 1475 Lawrence St. Denver, CO 80217-3364, USA.
AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.
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