The aim of this work was to statistically optimize a novel high-dose, mesalazine colonic delivery matrix system, potentially suitable for once daily administration, using simple wet granulation method. A hydrophobic-hydrophilic polymeric blend was used to manipulate drug release. A three-factor, three-level Box-Behnken design was used to construct polynomial models correlating the dependent and independent variables. Independent formulation variables were the percentages of the hydrophilic polymer Carbopol® 940, hydrophobic polymer Eudragit® RS, and the superdisintegrant croscarmellose sodium. The cumulative percentages of drug released at 6, 10, and 14 h were selected as dependent variables and restricted to 7.5-22.5% (Y(1)), 42.5-57.5 % (Y(2)), and 72.5-87.5% (Y(3)), respectively. A second-order polynomial equation fitted to the data was used to optimize the independent formulation variables. Based on Box-Behnken experimental design, different mesalazine release profiles were obtained. The optimized formulation containing 5.72% Carbopol®, 9.77% Eudragit® RS, and 1.45% croscarmellose sodium was prepared according to the software determined levels. It provided a release profile which was very close to the targeted release profile, where the calculated values of f(1) and f(2) were 8.47 and 67.70, respectively, and followed zero-order release kinetics.
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http://dx.doi.org/10.1208/s12249-011-9708-9 | DOI Listing |
J Cannabis Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, MN, 55905, USA.
Background: Differences in cannabinoid metabolism and patient responses can arise even with equivalent doses and formulations. Genetic polymorphisms in genes responsible for cannabinoid metabolism and medications that alter CYP450 pathways responsible for metabolism of cannabinoids may account for some of this variability.
Materials And Methods: A retrospective chart review was conducted on a cohort of unselected patients who had previously completed pharmacogenomic testing and reported oral cannabis use, as defined as "oral" or "by mouth" route of administration.
BMC Psychiatry
January 2025
MedaData, LLC, Rochester Hills, USA.
Background: Adults with ADHD benefit from treatment with extended-release (ER) formulations that provide symptom control for the entire day. Some patients are advised to supplement their extended-release medication with an immediate-release (IR) medication later in the day if they need to prolong its effects. Given that several FDA-approved ER formulations are available and many individual patient variables may affect efficacy, the purpose of this study was to identify reliable predictors of the tendency for patients to supplement their daily ER medication with an IR medication.
View Article and Find Full Text PDFJ Food Sci
January 2025
Department of Fruit and Vegetable Technology, CSIR-Central Food Technological Research Institute, Mysuru, India.
Sleep disturbances are increasingly prevalent, significantly impacting physical and mental health. Recent research reveals a bidirectional relationship between gut microbiota and sleep, mediated through the microbiota-gut-brain axis. This review examines the role of gut microbiota in sleep physiology and explores how biotics, including probiotics, prebiotics, synbiotics, postbiotics, and fermented foods, can enhance sleep quality.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Background: Posaconazole is a potent antifungal agent widely used to manage invasive fungal infections, especially in immunocompromised individuals. Achieving optimal therapeutic concentrations of posaconazole can be challenging due to interpatient variability, the availability of multiple formulations, and various dosing strategies.
Methods: We conducted a systematic search of PubMed, EMBASE, and the Cochrane Library to identify studies evaluating factors that influence blood concentrations of posaconazole.
Abdom Radiol (NY)
January 2025
The First Affiliated Hospital of Jinan University, Guangzhou, China.
Objective: Accurate preoperative evaluation of myometrial invasion (MI) is essential for treatment decisions in endometrial cancer (EC). However, the diagnostic accuracy of commonly utilized magnetic resonance imaging (MRI) techniques for this assessment exhibits considerable variability. This study aims to enhance preoperative discrimination of absence or presence of MI by developing and validating a multimodal deep learning radiomics (MDLR) model based on MRI.
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