Physiologically based pharmacokinetic (PBPK) models were utilized to investigate potential interactions between aflatoxin B1 (AFB1) and efavirenz (EFV), a non-nucleoside reverse transcriptase inhibitor drug and inducer of several CYP enzymes, including CYP3A4. PBPK simulations were conducted in a North European Caucasian and Black South African population, considering different dosing scenarios. The simulations predicted the impact of EFV on AFB1 metabolism via CYP3A4 and CYP1A2. In vitro experiments using human liver microsomes (HLM) were performed to verify the PBPK predictions for both single- and multiple-dose exposures to EFV. Results showed no significant difference in the formation of AFB1 metabolites when combined with EFV (0.15 µM) compared to AFB1 alone. However, exposure to 5 µM of EFV, mimicking chronic exposure, resulted in increased CYP3A4 activity, affecting metabolite formation. While co-incubation with EFV reduced the formation of certain AFB1 metabolites, other outcomes varied and could not be fully attributed to CYP3A4 induction. Overall, this study provides evidence that EFV, and potentially other CYP1A2/CYP3A4 perpetrators, can impact AFB1 metabolism, leading to altered exposure to toxic metabolites. The results emphasize the importance of considering drug interactions when assessing the risks associated with mycotoxin exposure in individuals undergoing HIV therapy in a European and African context.
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http://dx.doi.org/10.3390/toxins16060259 | DOI Listing |
Arch Toxicol
January 2025
Scientist Emeritus, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Hexabromocyclododecane (HBCD) is a brominated flame retardant, that is added, but not chemically bonded, to consumer products. HBCD is sold as a commercial-grade HBCD mixture containing three major stereoisomers: alpha (α), beta (β), and gamma (γ), with relative amounts of 12% for α-HBCD, 6% for β-HBCD, and 82% for γ-HBCD. HBCDs are widely measured in the environment and in biological matrices.
View Article and Find Full Text PDFDysphagia
January 2025
Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650118, China.
Cine magnetic resonance imaging (Cine-MRI) may evaluate the swallowing function and locations of patients with dysphagia, which requires very fast imaging speed. Compressed sensing is a technique that allows for faster MRI imaging by sampling fewer data points and reconstructing the image via optimization techniques, crucial for capturing the rapid movements involved in swallowing. This study aimed to analyze swallowing function and locations in patients with head and neck cancer and healthy individuals using Cine-MRI based on compressed sensing.
View Article and Find Full Text PDFGeriatrics (Basel)
January 2025
Department of Molecular Medicine and Surgery, Karolinska Institutet,171 76 Stockholm, Sweden.
: Information on the long-term maintenance of short-term exercise fitness gains measured by field-based tests is scarce in older adults. This study aimed to investigate short- and long-term changes in various physical fitness parameters after an 8-week exercise program. : In this longitudinal study, a total of 265 participants (62% women; mean age 71.
View Article and Find Full Text PDFIET Syst Biol
January 2025
Center for Computational Biology, Department of Computational Biology, IIIT-Delhi, New Delhi, India.
One of the challenges that beset modelling complex biological networks is to relate networks to function to dynamics. A further challenge is deciphering the cellular function and dynamics that can change drastically when the network edge is tinkered with by adding or removing it. To illustrate this, the authors took a well-studied three-variable Goodwin oscillatory motif with only a negative feedback loop.
View Article and Find Full Text PDFBiomed Signal Process Control
August 2024
CNRS-University of Montpellier LIRMM, UMR5506, Interactive Digital Human, Montpellier, France.
Correlation coefficients play a pivotal role in quantifying linear relationships between random variables. Yet, their application to time series data is very challenging due to temporal dependencies. This paper introduces a novel approach to estimate the statistical significance of correlation coefficients in time series data, addressing the limitations of traditional methods based on the concept of effective degrees of freedom (or effective sample size, ESS).
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