Since studies on the reproductive consequences after the exposure to environmentally relevant doses of Benzo(a)pyrene (BaP) during critical stages of development are scarce, this study evaluated female reproductive parameters of adult rats exposed to a low dose of BaP during the juvenile phase. Female rats (Post-natal 21) were treated with BaP (0 or 0.1 µg/kg/day; gavage) for 21 consecutive days. During the treatment, no clinical signs of toxicity were observed. Nevertheless, the ages of vaginal opening and first estrus were anticipated by the BaP-exposure. At the sexual maturity, the juvenile exposure compromised the sexual behavior, as well as the placental efficiency, follicle stimulating hormone levels, placenta histological analysis, and ovarian follicle count. A decrease in erythrocyte, platelet, and lymphocyte counts also was observed in the exposed-females. Moreover, the dose of BaP used in this study was not able to produce estrogenic activity . These data showed that juvenile BaP-exposure, at environmentally relevant dose, compromised the female reproductive system, possibly by an endocrine deregulation; however, this requires further investigation.
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http://dx.doi.org/10.1080/01480545.2022.2105864 | DOI Listing |
Integr Environ Assess Manag
January 2025
Department of Medicine, Division of Occupational, Environmental and Climate Medicine, University of California, San Francisco; San Francisco, California, 94158United States.
Water scarcity is projected to affect half of the world's population, gradually exacerbated by climate change. This article elaborates from a panel discussion at the 2023 United Nations Water Conference on Addressing Water Scarcity to Achieve Climate Resilience and Human Health. Understanding and addressing water scarcity goes beyond hydrological water balances to also include societal and economic measures.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Public Health and Preventive Medicine, State University New York (SUNY) Upstate Medical University, Syracuse, New York.
Importance: Environmental service workers (ESWs) have a critical role within the hospital infrastructure and are at the frontline of infection prevention. ESWs are highly trained in managing all forms of regulated waste, which includes biohazardous waste, and are responsible for the overall patient experience, janitorial work, and infection prevention. Without environmental services, patients have a 6 times greater risk of being infected by pathogens from patients who previously occupied their room.
View Article and Find Full Text PDFJAMA Intern Med
January 2025
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston.
Importance: The optimal configuration of a smoking cessation intervention in a lung cancer screening (LCS) setting has not yet been established.
Objective: To evaluate the efficacy of 3 tobacco treatment strategies of increasing integration and intensity in the LCS setting.
Design, Setting, And Participants: In this randomized clinical trial, LCS-eligible current smokers were randomized into 3 treatments: quitline (QL), QL plus (QL+), or integrated care (IC).
J Chem Theory Comput
January 2025
Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3H6.
The cost of encoding a system Hamiltonian in a digital quantum computer as a linear combination of unitaries (LCU) grows with the 1-norm of the LCU expansion. The Block Invariant Symmetry Shift (BLISS) technique reduces this 1-norm by modifying the Hamiltonian action on only the undesired electron-number subspaces. Previously, BLISS required a computationally expensive nonlinear optimization that was not guaranteed to find the global minimum.
View Article and Find Full Text PDFPhys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.
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