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Triazole antifungal pesticides work by inhibiting the activity of lanosterol-14-α-demethylase, a member of cytochrome P450 enzymes (CYPs), but this effect is non-specific. Bile acids (BAs) are important physical surfactants for lipids absorption in intestine, and synthesized by CYPs 7A1/27A1. Thus, we presume that triazole exposure might influence the therapeutic effect or safety of oral medication through disturbing the BAs pool, even though the exposure is under an acceptable daily intake (ADI) dose. Short- and long-term of ADI dose tebuconazole (TEB) exposure animal models were established through various routes, and statins with different hydrophilic and lipophilic properties were gavaged. It exhibited that the activity of CYP7A1/27A1 was indeed inhibited but the expression was up-regulated, the BAs pool was changed either the content and the composition, and the absorption behavior of statins with strong and medium degree of lipid-solubility were significantly changed. A series of experiments performed on models of intestinal mucus, Caco-2 cell monolayer and Caco-2/HT29 co-culture system revealed that the TEB-exposure induced BAs disturbance made impacts on drug absorption in many aspects, including drug solubility and the structure of intestinal barriers. This study suggests us to be more alert about the hazard of pesticides residues for elderly and chronically ill groups.
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http://dx.doi.org/10.1016/j.chemosphere.2023.138209 | DOI Listing |
Ann N Y Acad Sci
September 2025
Department of Nutrition and Food Science, University of Ghana, Accra, Ghana.
School feeding provides nutrition, brings order to the school day, and enhances student participation. School feeding in low-income countries is often sporadic due to coordination challenges among multiple stakeholders. To assess the reliability of school feeding in Mion district, a food-insecure area in northern Ghana, Project Peanut Butter (PPB) studied ready-to-use school meals (RUSMs) and micronutrient-fortified home-grown school food (HGSF).
View Article and Find Full Text PDFJ Affect Disord
September 2025
Department of Psychology, Florida State University, 1107 W Call St., Tallahassee, FL 32304, USA.
Active-duty military personnel often face significant mental health challenges, including high rates of anxiety, depression, and substance abuse. Despite the clear need for mental health interventions, service members frequently underutilize available services due to time constraints, concerns about career impact, and confidentiality issues. This study evaluates the acceptability and clinical impact of the Health Education Training (HET) program, a 50-min, single-session, computer-based intervention designed to promote healthy lifestyle behaviors among active-duty military personnel.
View Article and Find Full Text PDFCien Saude Colet
August 2025
Universidade Federal do Rio Grande do Norte. Natal RN Brasil.
The objective was to analyze the factors associated with difficulty in accessing healthcare services among older population. This is a cross-sectional, analytical study using data from the 2019 National Health Survey, conducted between 2019 and 2020 with a random sample of 22,728 older adults. The outcome was the difficulty in accessing healthcare services, measured by seeking services but not being attended to, or when services were not sought despite a need due to individual difficulties.
View Article and Find Full Text PDFBackground: People with dementia who have a fall can experience both physical and psychological effects, often leading to diminished independence. Falls impose economic costs on the healthcare system. Despite elevated fall risks in dementia populations, evidence supporting effective home-based interventions remains limited.
View Article and Find Full Text PDFDriven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
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