A pharmacokinetic model was constructed to explain the difference in brain- and cerebrospinal fluid (CSF)-to-plasma and brain-to-CSF unbound drug concentration ratios (Kp,uu,brain, Kp,uu,CSF, and Kp,uu,CSF/brain, respectively) of drugs under steady-state conditions in rats. The passive permeability across the blood-brain barrier (BBB), PS1, was predicted by two methods using log(D/molecular weight(0.5)) for PS1(1) or the partition coefficient in octanol/water at pH 7.4 (LogD), topologic van der Waals polar surface area, and van der Waals surface area of the basic atoms for PS1(2). The coefficients of each parameter were determined using previously reported in situ rat BBB permeability. Active transport of drugs by P-glycoprotein (P-gp) and breast cancer resistance protein (Bcrp) measured in P-gp- and Bcrp-overexpressing cells was extrapolated to in vivo by introducing scaling factors. Brain- and CSF-to-plasma unbound concentration ratios (Kp,uu,brain and Kp,uu,CSF, respectively) of 19 compounds, including P-gp and Bcrp substrates (daidzein, dantrolene, flavopiridol, genistein, loperamide, quinidine, and verapamil), were simultaneously fitted to the equations in a three-compartment model comprising blood, brain, and CSF compartments. The calculated Kp,uu,brain and Kp,uu,CSF of 17 compounds were within a factor of three of experimental values. Kp,uu,CSF values of genistein and loperamide were outliers of the prediction, and Kp,uu,brain of dantrolene also became an outlier when PS1(2) was used. Kp,uu,CSF/brain of the 19 compounds was within a factor of three of experimental values. In conclusion, the Kp,uu,CSF/brain of drugs, including P-gp and Bcrp substrates, could be successfully explained by a kinetic model using scaling factors combined with in vitro evaluation of P-gp and Bcrp activities.
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http://dx.doi.org/10.1124/dmd.113.056606 | DOI Listing |
Clin Interv Aging
January 2025
Department of Neurology, the Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, People's Republic of China.
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Advances in artificial intelligence (AI), machine learning, and publicly accessible language model tools such as ChatGPT-3.5 continue to shape the landscape of modern medicine and patient education. ChatGPT's open access (OA), instant, human-sounding interface capable of carrying discussion on myriad topics makes it a potentially useful resource for patients seeking medical advice.
View Article and Find Full Text PDFJACC Adv
December 2024
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
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JACC Adv
December 2024
Yale School of Medicine, New Haven, Connecticut, USA.
Background: Cardiovascular disease (CVD) is the leading cause of death in low- and middle-income countries such as Haiti. Our team has demonstrated in a pilot study the implementation of a virtual cardiology curriculum to address the deficit of cardiology education in Haiti among medicine residents.
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Prev Med Rep
January 2025
One Health Research Group, Faculty of Medicine, Universidad de las Américas, Quito, Ecuador.
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Objective: To describe the prevalence and factors associated with e-cigarette use among adolescents in Latin America.
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