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The risk posed to Arctic marine life by microplastics, a Contaminants of Emerging Arctic Concern (CEAC), is poorly known. The reason is the limited understanding of the dose-response relationship due to the region's peculiar environmental and geophysical properties and the unique physiological properties of the species living there. The properties of microplastics in the region and their distribution across the oceanic profile further complicate the problem. This paper addresses the knowledge gap by proposing a novel comprehensive ecotoxicity model. The model uses oxidative stress caused by the Reactive Oxygen Species (ROS) to assess cell mortality. Cell mortality has been used as an indicator of ecological risk. The model is implemented in the Bayesian Network (BN) framework to evaluate the cytotoxicity, measured as the probability of causing mortality. The work enhances the understanding and assessment of the cytotoxicity of microplastics in polar cod and associated risks.
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http://dx.doi.org/10.1016/j.envpol.2022.120417 | DOI Listing |
JAMA Neurol
September 2025
Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Importance: Exposure to fine particulate matter air pollution (PM2.5) may increase risk for dementia. It is unknown whether this association is mediated by dementia-related neuropathologic change found at autopsy.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Department of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Importance: Previous studies have suggested that social participation helps prevent depression among older adults. However, evidence is lacking about whether the preventive benefits vary among individuals and who would benefit most.
Objective: To examine the sociodemographic, behavioral, and health-related heterogeneity in the association between social participation and depressive symptoms among older adults and to identify the individual characteristics among older adults expected to benefit the most from social participation.
JAMA Pediatr
September 2025
Diabetes Research Envisioned and Accomplished in Manitoba (DREAM) Research Theme, Children's Hospital Research Institute of Manitoba, Winnipeg, Canada.
Importance: Youth living with type 1 diabetes (T1D) are increasingly choosing automated insulin delivery (AID) systems to manage their blood glucose. Few systematic reviews meta-analyzing results from randomized clinical trials (RCTs) are available to guide decision-making.
Objective: To study the association of prolonged AID system use in an outpatient setting with measures of glucose management and quality of life in youth with T1D.
J Gerontol A Biol Sci Med Sci
September 2025
Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Background: Ambulatory older residents in long-term care(LTC) have the highest risk of falling. However, the relationship between ambulatory activity (steps per day) and fall risk in LTC is unclear. This study examined whether baseline daily step count, functional capacity and cognitive function predicted falls in LTC residents, and whether functional capacity modified the relationship between step count and fall risk.
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
September 2025
Brigham and Women's Hospital, Boston, MA, United States.
Background: Colorectal cancer (CRC) risk models routinely adjust for endoscopic screening because of a) possible confounding with other risk factors and b) possible alteration of natural history of the disease due to adenoma detection and removal.
Methods: In this study, we defined a subject as screen-covered (SC) if a colonoscopy was performed in the past 10 years, and not screen-covered (NSC) otherwise. We created CRC risk models separately for SC and NSC subjects (HRSC, HRNSC) and then obtained a screening-coverage adjusted HR estimate (HRfull) based on a weighted average of ln(HRSC) and ln(HRNSC) with weight equal to the proportion of SC person-time in the NHS population.