Trevor Nigel Johnson

Dr. Trevor Nigel Johnson


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 February 2015 in Biopharmaceutics & Drug Disposition
Verified
Journal Article
Open access
PDF file
JBJennifer J. Bonner
Jennifer J. Bonner
PVPavan Vajjah
Pavan Vajjah
Khaled AbduljalilKhaled Abduljalil
Khaled Abduljalil
MJMasoud Jamei
Masoud Jamei
ARAmin Rostami-Hodjegan
Amin Rostami-Hodjegan
TJTrevor Nigel Johnson
Trevor Nigel Johnson
Purpose. Gastric emptying (GE) is often reported to be slower and more irregular in premature neonates than in older children and adults. The aim of this study was to investigate the impact of age and other covariates on the rate of GE. Methods. The effect of age on the mean gastric residence times (MGRT) of liquid and solid food was assessed by analysing 49 published studies of 1457 individuals, aged from 28 weeks gestation to adults. The data were modelled using the nonlinear mixed‐effects approach within NONMEM version 7.2 (ICON, Dublin, Ireland), with evaluation of postnatal age, gestational age and meal type as covariates. A double Weibull function was selected as a suitable model since it could account for the typical biphasic nature of GE. Results. Age was not a significant covariate for GE but meal type was. Aqueous solutions were associated with the fastest emptying time (mean simulated gastric residence time of 45 min) and solid food was associated with the slowest (98 min). Conclusions. These findings challenge the assertion that GE is different in neonates, as compared with older children and adults due to age, and they reinforce the significance of food type in modulating GE. © 2015 The Authors. Biopharmaceutics & Drug Disposition Published by John Wiley & Sons Ltd.


1 March 2018 in European Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
TJTrevor Nigel Johnson
Trevor Nigel Johnson
JBJ.J. Bonner
J.J. Bonner
GTG.T. Tucker
G.T. Tucker
DTD.B. Turner
D.B. Turner
MJM. Jamei
M. Jamei

17 February 2022 in CPT: Pharmacometrics & Systems Pharmacology
Verified
Journal Article
Open access
PDF file
TJTrevor Nigel Johnson
Trevor Nigel Johnson
BSBen G. Small
Ben G. Small
KYKaren Rowland Yeo
Karen Rowland Yeo
There has been a significant increase in the use of physiologically based pharmacokinetic (PBPK) models during the past 20 years, especially for pediatrics. The aim of this study was to give a detailed overview of the growth and areas of application of pediatric PBPK (P‐PBPK) models. A total of 181 publications and publicly available regulatory reviews were identified and categorized according to year, author affiliation, platform, and primary application of the P‐PBPK model (in clinical settings, drug development or to advance pediatric model development in general). Secondary application areas, including dose selection, biologics, and drug interactions, were also assessed. The growth rate for P‐PBPK modeling increased 33‐fold between 2005 and 2020; this was mainly attributed to growth in clinical and drug development applications. For primary applications, 50% of articles were classified under clinical, 18% under drug development, and 33% under model development. The most common secondary applications were dose selection (75% drug development), pharmacokinetic prediction and covariate identification (47% clinical), and model parameter identification (68% model development), respectively. Although population PK modeling remains the mainstay of approaches supporting pediatric drug development, the data presented here demonstrate the widespread application of P‐PBPK models in both drug development and clinical settings. Although applications for pharmacokinetic and drug–drug interaction predictions in pediatrics is advocated, this approach remains underused in areas such as assessment of pediatric formulations, toxicology, and trial design. The increasing number of publications supporting the development and refinement of the pediatric model parameters can only serve to enhance optimal use of P‐PBPK models.

1 July 2016 in Drug Metabolism and Disposition
Verified
Journal Article
Open access
PDF file
TJTrevor Nigel Johnson
Trevor Nigel Johnson
MJMasoud Jamei
Masoud Jamei
KRKaren Rowland-Yeo
Karen Rowland-Yeo
Information on the developmental changes of biliary excretion (BE) of drugs is sparse. The aims of this study were to collate literature data on the pharmacokinetics of biliary excreted drugs used in pediatrics and to apply a Physiologically Based Pharmacokinetic (PBPK) model to predict their systemic clearance (CL) with a view to elucidating age-related changes of biliary excretion. Drug parameters for azithromycin, ceftriaxone, digoxin administered intravenously (IV) and buprenorphine (IV and sublingual) were collated from the literature and used in the Simcyp Simulator to predict adult CL values which were then validated against observed data. The change in CL with age was simulated in the pediatric model and compared to observed data; where necessary, the ontogeny function associated with BE was applied to recover the age-related CL. For azithromycin a fraction of adult BE activity of 15% was necessary to predict the CL in neonates (26 weeks GA) whilst 100% activity was apparent by 7 months. For ceftriaxone and digoxin full BE activity appeared to be present at term birth, for the latter an adult BE activity of 10% was needed to predict the CL in premature neonates (30 weeks GA). The CL of buprenorphine with age was described by the ontogeny of the major elimination pathways (CYP3A4 and UGT1A1) with no ontogeny assumed for the biliary component. Thus, the ontogeny of BE for all four drugs appears to be rapid and attain adult levels at birth or within the first few months of postnatal age.

20 July 2021 in CPT: Pharmacometrics & Systems Pharmacology
Verified
Journal Article
Open access
PDF file
TJTrevor Nigel Johnson
Trevor Nigel Johnson
BSBen G. Small
Ben G. Small
EBEva Gil Berglund
Eva Gil Berglund
KYKaren Rowland Yeo
Karen Rowland Yeo
Pediatric physiologically‐based pharmacokinetic (PBPK) models have broad application in the drug development process and are being used not only to project doses for clinical trials but increasingly to replace clinical studies. However, the approach has yet to become fully integrated in regulatory submissions. Emerging data support an expanded integration of the PBPK model informed approach in regulatory guidance on pediatrics. Best practice standards are presented for further development through interaction among regulators, industry, and model providers.