Trevor N. Johnson

ORCID: 0000-0003-0778-0081
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About
Contact & Profiles
Research Areas
  • Pharmaceutical studies and practices
  • Pharmacogenetics and Drug Metabolism
  • Antibiotics Pharmacokinetics and Efficacy
  • Drug Transport and Resistance Mechanisms
  • Pharmacological Effects and Toxicity Studies
  • Statistical Methods in Clinical Trials
  • Metabolism and Genetic Disorders
  • Adrenal Hormones and Disorders
  • Opioid Use Disorder Treatment
  • Anesthesia and Sedative Agents
  • Neonatal Health and Biochemistry
  • Liver Disease Diagnosis and Treatment
  • Birth, Development, and Health
  • Sexual Differentiation and Disorders
  • Liver Disease and Transplantation
  • Pregnancy and Medication Impact
  • Prenatal Substance Exposure Effects
  • Pregnancy and preeclampsia studies
  • Computational Drug Discovery Methods
  • Pituitary Gland Disorders and Treatments
  • Health Systems, Economic Evaluations, Quality of Life
  • Epilepsy research and treatment
  • Analytical Methods in Pharmaceuticals
  • Acute Myeloid Leukemia Research
  • Hormonal Regulation and Hypertension

Simcyp (United Kingdom)
2015-2024

Universitat de València
2024

Universidad de Navarra
2024

Universidad Complutense de Madrid
2024

University of Puerto Rico System
2024

Ghent University
2023

Ghent University Hospital
2023

University of Idaho
2023

Certara (United States)
2023

Hull York Medical School
2022

(i) To describe an example of the development work required for building a 'pediatric physiologically based pharmacokinetic' (P-PBPK) model (Simcyp Pediatric ADME Simulator), (ii) to replicate pediatric clinical studies and undertake theoretical show potential applications mechanistic PBPK in drug investigation practice, with emphasis on anesthesia.PBPK models draw together physiological biochemical information that determine absorption, distribution, metabolism, excretion then link them...

10.1111/j.1460-9592.2010.03323.x article EN Pediatric Anesthesia 2010-05-22

Many drugs are unlicensed in children and consequently their doses have been scaled down from those used adults.To compare the performance of three scaling models predicting maintenance for adults.Three based on body weight (BW), surface area (BSA) BW(0.75) were to predict across paediatric age band equivalent adult 30 different drugs. The predicted compared with British National Formulary 2006 (BNFc). Percentage error mean squared prediction as a measure precision, was bias.In 1-month...

10.1136/adc.2006.114835 article EN Archives of Disease in Childhood 2007-03-16

Pregnant women are usually not part of the traditional drug development programme. Pregnancy is associated with major biological and physiological changes that alter pharmacokinetics (PK) drugs. Prediction to exposure in this group patients may help prevent under- or overtreatment. We have used a pregnancy physiologically based pharmacokinetic (p-PBPK) model assess likely impact on three compounds, namely caffeine, metoprolol midazolam, knowledge their disposition nonpregnant information...

10.1111/j.1365-2125.2012.04363.x article EN British Journal of Clinical Pharmacology 2012-06-22

There has been a significant increase in the use of physiologically based pharmacokinetic (PBPK) models during past 20 years, especially for pediatrics. The aim this study was to give detailed overview growth and areas application pediatric PBPK (P-PBPK) models. A total 181 publications publicly available regulatory reviews were identified categorized according year, author affiliation, platform, primary P-PBPK model (in clinical settings, drug development or advance general). Secondary...

10.1002/psp4.12764 article EN cc-by-nc CPT Pharmacometrics & Systems Pharmacology 2022-02-17

To investigate the effects of age and disease states on expression activity intestinal CYP3A4 in a paediatric population.Duodenal biopsies surgical sections were collected from 104 patients (age range 2 weeks to 17 years) 11 foetuses. An S9 fraction was prepared each case. assessed by Western blotting immunohistochemistry; measured rate formation 6beta-hydroxytestosterone testosterone. Villin used as marker enterocyte harvest normalize data.In 74 histologically normal there statistically...

10.1046/j.1365-2125.2001.01370.x article EN British Journal of Clinical Pharmacology 2001-05-01

A 4-compartment permeability-limited brain (4Brain) model consisting of blood, mass, cranial and spinal cerebrospinal fluid (CSF) compartments has been developed incorporated into a whole body physiologically-based pharmacokinetic (PBPK) within the Simcyp Simulator. The assumptions, structure, governing equations system parameters are described. in particular considers anatomy physiology CSF, including CSF secretion, circulation absorption, as well function various efflux uptake transporters...

10.1016/j.dmpk.2016.03.005 article EN cc-by-nc-nd Drug Metabolism and Pharmacokinetics 2016-04-05

The accuracy of physiologically based pharmacokinetic (PBPK) model prediction in children, especially those younger than 2 years old, has not been systematically evaluated. aim this study was to characterize the pediatric predictive performance PBPK approach for 10 drugs extensively metabolized by CYP1A2 (theophylline), CYP2C8 (desloratidine, montelukast), CYP2C9 (diclofenac), CYP2C19 (esomeprazole, lansoprazole), CYP2D6 (tramadol), and CYP3A4 (itraconazole, ondansetron, sufentanil). Model...

10.1002/cpt.905 article EN Clinical Pharmacology & Therapeutics 2017-10-13

Quetiapine is an atypical antipsychotic drug with a high permeability, moderate solubility and defined as Biopharmaceutics Classification System class ll compound. The pharmacokinetics (PK) of the quetiapine immediate-release (IR) formulation has been studied in both adults children, but extended-release (XR) only conducted adults. purpose current study was to use physiologically based pharmacokinetic modeling (PBPK) quantitatively predict PK XR children adolescents. Using 'learn confirm'...

10.1002/bdd.1899 article EN Biopharmaceutics & Drug Disposition 2014-05-06

The magnitude of any metabolic drug–drug interactions (DDIs) depends on fractional importance inhibited pathway which may not necessarily be the same in young children when compared to adults. ontogeny pattern cytochrome P450 (CYP) enzymes (CYPs 1A2, 2B6, 2C8, 2C9, 2C18/19, 2D6, 2E1, 3A4) and renal function were analyzed systematically. Bootstrap methodology was used account for variability, define age range over statistical differences existed between each pair specific pathways. A number...

10.1002/jcph.100 article EN The Journal of Clinical Pharmacology 2013-05-30
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