Results 141 to 150 of about 33,101 (262)

Cyanogenic Compounds, Physicochemical Parameters and Metals in Water From Cassava Processing Areas: A Study in the Brazilian Amazon, Using Multivariate Analysis

Environmental Toxicology, EarlyView.
ABSTRACT This study evaluated the water quality of artesian wells and effluents generated in cassava processing in a rural area of Bragança, Pará, with emphasis on physicochemical parameters, multielement composition, and cyanogenic compounds. The well water presented specific nonconformities, highlighting pH values below the recommended level and high
Alana Coêlho Maciel, Mariane Gama Nabiça, Luciana Pinheiro Santos, Thiago de Melo e Silva, Elivaldo Nunes Modesto Junior, Heronides Adonias Dantas Filho, Charles Miller de Souza Borges, Kelly das Graças Fernandes Dantas, Simone de Fátima Pinheiro Pereira, Ivan Carlos da Costa Barbosa, Beni Jequicene Mussengue Chaúque, Rosinelson da Silva Pena, Nayara Macêdo Peixoto Araújo, Alessandra Santos Lopes   +13 more
wiley   +1 more source

Hearing Protection Among Workers Exposed to Occupational Noise in the South African Aluminium Industry. [PDF]

Int J Environ Res Public Health
Moroe N, Shandu A.
europepmc   +1 more source

PFOA Exposure Elicits Quantitative Lipidomic Changes in the Pancreas in a Mouse Model of Pancreatic Cancer

Environmental Toxicology, EarlyView.
ABSTRACT Pancreatic cancer is the fourth leading cause of cancer deaths in the US and predicted to rise to second by 2030. Several risk factors have been identified as potential contributors to pancreatic cancer development including lifestyle factors and long‐term exposure to occupational and environmental carcinogens.
Barbara A. Hocevar, Lisa M. Kamendulis
wiley   +1 more source

Exploring the effects of occupational noise on cardiovascular and cerebrovascular diseases: A Mendelian randomization study. [PDF]

Medicine (Baltimore)
Peng S, Huang X, Fu C, Liu Q, Hou J.
europepmc   +1 more source

Integrative Bioinformatics, Experimental Validation, and Interpretable Machine Learning Reveal Oxyresveratrol‐Mediated Protection Against Cadmium‐Induced Lung Adenocarcinoma‐Related Transcriptional Dysregulation

Environmental Toxicology, EarlyView.
ABSTRACT Cadmium (Cd) is a toxic heavy metal strongly implicated in lung adenocarcinoma (LUAD) through mechanisms involving oxidative stress, epigenetic dysregulation, and chronic inflammation. This study aimed to identify Cd‐responsive genes associated with LUAD and to evaluate the protective effects of oxyresveratrol (O‐RES) against Cd‐induced ...
Murat Isıyel, Hamid Ceylan, Yeliz Demir
wiley   +1 more source

Association between occupational noise-induced hearing loss and cognitive function: a multimodal cross-sectional study. [PDF]

Front Public Health
Jin Q, Bian Y, Zhou C.
europepmc   +1 more source

Establishment of a Human Cell‐Based In Vitro Test System for Investigating and Evaluating Cytotoxic and Immunomodulatory Effects of Indoor Mold

Environmental Toxicology, EarlyView.
ABSTRACT Mold growth in damp indoor environments is a widespread problem associated with respiratory health effects, though causal mechanisms remain incompletely understood. We established a human cell‐based in vitro test system using bronchial epithelial cells (NuLi‐1) and macrophages (THP‐1) to assess inhalation toxicity and immunomodulatory effects ...
Anja Wolff, Jessica Reinert, Silke Steinborn, Marion Berger, Judith Neuhoff, Lennart Marske, Kerttu Valtanen, Udo Jäckel, Stefanie Klar   +8 more
wiley   +1 more source

Steady-State Auditory Evoked Potentials in Workers Exposed to Occupational Noise. [PDF]

Med Lav
Kamita MK, Rocha CH, Silva LAF, Samelli AG, Matas CG.   +4 more
europepmc   +1 more source

Worldwide Burden of Hearing Loss Across Childhood and Adolescence, 1990–2021, and Projection to 2050

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives This article aims to analyze the trends in hearing loss (HL) prevalence and years lived with disability (YLDs) in children and adolescents from 1990 to 2021, and the corresponding health inequalities, decomposing causes, and future trends.
Jiao Zhang, Da‐Yong Wang, Xiao‐Nan Wu, Jin Li, Chang‐Shuo Shan, Yu‐Di‐Yang Ma, Chun‐Yan Liu, Yao‐Hua Tian, Qiu‐Ju Wang   +8 more
wiley   +1 more source

Applying Machine Learning Models to Predict Occupational Noise-Induced Hearing Loss: A Systematic Review and Meta-analysis. [PDF]

Noise Health
Wang Z, Fan Y, Zhang X, Liu X, Yu C, Wu L, Qiu W, Zhang M.   +7 more
europepmc   +1 more source