Jason Todd Chittenden

Works (4)

Updated: July 5th, 2023 15:39

2022 article

Pharmacokinetic/pharmacodynamic modeling of ketoprofen and flunixin at piglet castration and tail-docking

Nixon, E., Chittenden, J. T., Baynes, R. E., & Messenger, K. M. (2022, July 14). JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS, Vol. 7.

By: E. Nixon n , J. Chittenden*, R. Baynes n  & K. Messenger n

author keywords: NSAID; pain; pharmacodynamics; pharmacokinetics; piglet
MeSH headings : Animals; Anti-Inflammatory Agents, Non-Steroidal; Clonixin / analogs & derivatives; Dinoprostone; Hydrocortisone; Ketoprofen / pharmacology; Ketoprofen / therapeutic use; Male; Orchiectomy / veterinary; Pain / veterinary; Swine; Tail
TL;DR: Flunixin may be the best NSAID to use in mitigating castration and tail‐docking pain at the current label dose of ketoprofen. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 16, 2022

2019 journal article

Integration of Food Animal Residue Avoidance Databank (FARAD) empirical methods for drug withdrawal interval determination with a mechanistic population-based interactive physiologically based pharmacokinetic (iPBPK) modeling platform: example for flunixin meglumine administration

Archives of Toxicology, 93(7), 1865–1880.

By: M. Li *, Y. Cheng *, J. Chittenden n, R. Baynes n , L. Tell *, J. Davis*, T. Vickroy*, J. Riviere n, Z. Lin *

author keywords: Flunixin; Interactive physiologically based pharmacokinetic (iPBPK) model; Food safety; Drug residues; Withdrawal intervals (WDIs); Food Animal Residue Avoidance Databank (FARAD)
MeSH headings : Animals; Animals, Domestic / metabolism; Clonixin / administration & dosage; Clonixin / analogs & derivatives; Clonixin / pharmacokinetics; Databases, Factual; Drug Residues / pharmacokinetics; Food Contamination / analysis; Food Contamination / prevention & control; Food Safety / methods; Models, Biological; Veterinary Drugs / administration & dosage; Veterinary Drugs / pharmacokinetics
TL;DR: A new PBPK model for both cattle and swine after administration of flunixin meglumine was developed and it can be applied to develop new models for other drugs in other food animal species, thereby facilitating the application of P BPK modeling in WDI estimation and food safety assessment. (via Semantic Scholar)
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Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 12, 2019

2016 journal article

Assessment of penetrant and vehicle mixture properties on transdermal permeability using a mixed effect pharmacokinetic model of ex vivo porcine skin

Biopharmaceutics & Drug Disposition, 37(7), 387–396.

By: J. Chittenden n & J. Riviere*

author keywords: quantitative structure property relationship; transdermal permeability; vehicle mixture; ex vivo; mixed-effect model
MeSH headings : Administration, Cutaneous; Animals; Models, Biological; Permeability; Pharmaceutical Preparations / metabolism; Quantitative Structure-Activity Relationship; Skin / metabolism; Skin Absorption; Swine
TL;DR: A mixed effect, pharmacokinetic tissue model was used to model finite dose, transdermal, absorption data from IPPSF experiments for 12 penetrants dosed in up to 10 different vehicles and was able to identify permeability constant, while accounting for between and within unit variability, across the entire data set. (via Semantic Scholar)
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Sources: Web Of Science, Crossref
Added: August 6, 2018

2015 journal article

Quantification of vehicle mixture effects on in vitro transdermal chemical flux using a random process diffusion model

Journal of Controlled Release, 217, 74–81.

By: J. Chittenden n & J. Riviere*

author keywords: Transdermal absorption; Chemical mixture; QSPR; Skin permeability; Mathematical modeling; In vitro model
MeSH headings : 1-Octanol / chemistry; Animals; Diffusion; Models, Biological; Molecular Weight; Pharmaceutical Preparations / chemistry; Pharmaceutical Preparations / metabolism; Quantitative Structure-Activity Relationship; Skin / metabolism; Skin Absorption; Swine; Water / chemistry
TL;DR: This analysis improved on previous work, finding a more parsimonious model with higher predictability, while still identifying the mixture refractive index as a key descriptor in predicting vehicle effects. (via Semantic Scholar)
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Sources: Web Of Science, Crossref
Added: August 6, 2018

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