Realism is important in estimating consumer exposure to a substance, especially when accounting for exposure from multiple sources. Humans are exposed to vitamin A from food, dietary supplements and cosmetics products. A probabilistic aggregate exposure model was developed for estimating exposure distributions to vitamin A (as retinol equivalents) in pre-/post-menopausal, and menopausal women in European and US populations. Data from large dietary surveys were used, together with realistic and extreme case scenarios of cosmetics product use (including occurrence data for vitamin A presence in 17 cosmetic products). Results of absorbed exposure estimates were expressed as μg/kg bw/day by incorporating dermal and oral bioavailability data. The mean and 95th percentile (P95) aggregate exposures were below the EU Tolerable Upper Intake Limit (3000 μg/day; 45 μg/kg/day internal exposure dose (IED)), providing positive assurances of safety. The major source of vitamin A exposure is the diet, with cosmetics providing only a small fraction of total exposure (2-5% at P95). In addition to providing a realistic assessment of total vitamin A exposure, this work provides a case study on how to approach future complex aggregate exposure questions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.fct.2019.05.057 | DOI Listing |
Environ Toxicol Chem
January 2025
Oak Ridge Associated Universities (ORAU), Duluth, MN, United States.
Although banned long ago in many countries and jurisdictions, the organochlorine pesticide dichlorodiphenyltrichloroethane (DDT) and compounds related to it remain in the aquatic environment, particularly in sediments, and can pose risks to aquatic life. To inform ecological risk assessment of these compounds, we tested the toxicity of six DDT congeners, specifically the p, p' (4,4') forms of DDT, dichlorodiphenyldichloroethylene (DDE), dichlorodiphenyldichloroethane (DDD), and dichlorodiphenylchloroethylene (DDMU), as well as the o, p' (2,4') isomers of DDT and DDD. The epibenthic amphipod, Hyalella azteca, was exposed for 7 days to waterborne chemical and assessed for changes in survival and growth.
View Article and Find Full Text PDFHuman exposure to arsenicals is associated with devastating diseases such as cancer and neurodegeneration. At the same time, arsenic-based drugs are used as therapeutic agents. The ability of arsenic to directly bind to proteins is correlated with its toxic and therapeutic effects highlighting the importance of elucidating arsenic-protein interactions.
View Article and Find Full Text PDFCell Surf
June 2025
Departamento de Biología, División de Ciencias Naturales y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta s/n, col. Noria Alta, C.P. 36050 Guanajuato, Gto, Mexico.
is one of the leading etiological agents of sporotrichosis, a cutaneous and subcutaneous mycosis worldwide distributed. This organism has been recently associated with epidemic outbreaks in Brazil. Despite the medical relevance of this species, little is known about its virulence factors, and most of the information on this subject is extrapolated from .
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, USA.
Objective: Cystic fibrosis (CF) is a clinical entity defined by aberrant chloride (Cl) ion transport causing downstream effects on mucociliary clearance (MCC) in sinonasal epithelia. Inducible deficiencies in transepithelial Cl transport via CF transmembrane conductance regulator (CFTR) has been theorized to be a driving process in recalcitrant chronic rhinosinusitis (CRS) in patients without CF. We have previously identified that brief exposures to bacterial lipopolysaccharide (LPS) in mammalian cells induces an acquired dysfunction of CFTR in vitro and in vivo.
View Article and Find Full Text PDFEur J Pharm Sci
January 2025
Sartorius Stedim Biotech GmbH, August-Spindler-Straße 11, 37079 Göttingen ,Germany.
We evaluated algorithms designed to extrapolate extractables data for predicting process equipment-related leachables (PERLs) and assessing PERL exposure in single-use systems (SUSs) and their assemblies. The robustness and sensitivity of these algorithms were tested against variations in input data, including extrapolation algorithms for both short and long contact time extractables data obtained from the standardized extractables protocol provided in USP 〈665〉. Our findings demonstrate that extrapolated data for SUS and assemblies are suitable for safety assessments.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!