Results 71 to 80 of about 10,433 (192)

Strategy for Identifying Rational Sensitivity Analysis Using PBPK Modeling for Precipitant Drug–Drug Interaction Predictions

Clinical Pharmacology &Therapeutics, EarlyView.
Physiology Based Pharmacokinetic (PBPK) modeling is an established essential tool for predicting and/or analyzing drug–drug interactions (DDI). Uncertainty and variability associated with in vitro determined DDI‐related parameters have often been considered a limitation for predicting PBPK‐DDIs.
Kunal S. Taskar, Pradeep Sharma, Karen Rowland Yeo   +2 more
wiley   +1 more source

Simulating Intestinal Transporter and Enzyme Activity in a Physiologically Based Pharmacokinetic Model for Tenofovir Disoproxil Fumarate [PDF]

, 2017
Tenofovir disoproxil fumarate (TDF), a prodrug of tenofovir, has oral bioavailability (25%) limited by intestinal transport (P-glycoprotein), and intestinal degradation (carboxylesterase). However, the influence of luminal pancreatic enzymes is not fully
Domanico, P, Hobson, J, Moss, DM, Owen, A, Rajoli, RKR, Randolph, R, Rannard, S, Seonghee, P, Siccardi, M, Watkinson, M, Wring, S   +10 more
core   +1 more source

Cardiovascular‐Kidney‐Metabolic Syndrome in People With HIV: An Emerging Frontier for Clinical Pharmacology

Clinical Pharmacology &Therapeutics, EarlyView.
As antiretroviral therapy (ART) prolongs lifespans, people with HIV (PWH) face a new syndemic: Cardiovascular‐Kidney‐Metabolic (CKM) syndrome. Yet CKM in PWH is poorly characterized. Inflammation, complex pharmacokinetic (PK) alterations, ART‐associated metabolic effects, and gut dysbiosis amplify risk. Managing CKM increases medication burden, thereby
Aaron S. Devanathan, Thomas D. Nolin
wiley   +1 more source

Applications of PBPK Modeling to Estimate Drug Metabolism and Related ADME Processes in Specific Populations

Pharmaceutics
Background: Physiologically based pharmacokinetic (PBPK) models utilize computer-based simulations to predict the pharmacokinetics of drugs. By using mathematical modeling techniques consisting of differential equations to simulate blood flow, tissue ...
Pavani Gonnabathula, Miao Li, Suresh K. Nagumalli, Darshan Mehta, Kiara Fairman   +4 more
doaj   +1 more source

Physiologically Based Pharmacokinetic Modeling of Oxcarbazepine to Characterize Its Disposition in Children with Obesity

The Journal of Clinical Pharmacology, EarlyView.
Abstract Oxcarbazepine (OXC) is a second‐generation antiseizure medication, effective through its active metabolite, 10‐mono‐hydroxy derivative (MHD). OXC is used as adjunctive therapy for focal‐onset and primary generalized tonic–clonic seizures, with recommended dosing based on age and body weight.
Patricia D. Maglalang, Jaydeep Sinha, Victόria Etges Helfer, Andrea Edginton, Kanecia Zimmerman, Chi Dang Hornik, William J. Muller, Mobeen Rathore, Daniel K. Benjamin Jr., Jia‐Yuh Chen, Ravinder Anand, Daniel Gonzalez, the Best Pharmaceuticals for Children Act – Pediatric Trials Network Steering Committee   +12 more
wiley   +1 more source

PBPK Modeling: Empowering Drug Development and Precision Dosing in China

CPT: Pharmacometrics & Systems Pharmacology
Physiologically based pharmacokinetic (PBPK) modeling, a cornerstone of model‐informed drug development and model‐informed precision dosing, simulates drug disposition in the human body by integrating physiological, biochemical, and physicochemical ...
Dongsheng Yang, Jian Li, Wen Yao Mak, Aole Zheng, Xiao Zhu, Qingfeng He, Yuzhu Wang, Xiaoqiang Xiang   +7 more
doaj   +1 more source

Physiologically Based Pharmacokinetic Modeling of Caffeine in Preterm Neonates: Influence of Renal Function and Impairment on Dosing

The Journal of Clinical Pharmacology, EarlyView.
Abstract Currently, the same weight‐based caffeine citrate dosing regimen is applied to all neonates. However, due to differences in growth trajectories by gestational age (GA) and altered caffeine elimination in neonates with renal injury, optimal dosing regimens may differ. In this study, we refined the existing physiologically based pharmacokinetic (
Nolan Thomas, Matthew W. Harer, Sin Yin Lim   +2 more
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Physiologically Based Pharmacokinetic (PBPK) Modeling to Predict CYP3A-Mediated Drug Interaction between Saxagliptin and Nicardipine: Bridging Rat-to-Human Extrapolation

Pharmaceutics
The aim of this study was to predict the cytochrome P450 3A (CYP3A)-mediated drug–drug interactions (DDIs) between saxagliptin and nicardipine using a physiologically based pharmacokinetic (PBPK) model.
Jeong-Min Lee, Jin-Ha Yoon, Han-Joo Maeng, Yu Chul Kim   +3 more
doaj   +1 more source

A combined in vitro/in silico approach to identifying off-target receptor toxicity [PDF]

, 2018
Many xenobiotics can bind to off-target receptors and cause toxicity via the dysregulation of downstream transcription factors. Identification of subsequent off-target toxicity in these chemicals has often required extensive chemical testing in animal ...
Colley, H, leedale, J, Mason, C, Murdoch, C, Norton, A, Peeney, D, Sathish, J, Sharkey, K, Sharma, P, Webb, SD   +9 more
core   +4 more sources