John Troutman

Mr. John Troutman

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 March 2018 in Toxicology in Vitro
Verified
Journal Article
Closed access
SBShannon M. Bell
Shannon M. Bell
XCXiaoqing Chang
Xiaoqing Chang
JWJohn Wambaugh
John Wambaugh
DADavid G. Allen
David G. Allen
MBMike Bartels
Mike Bartels
NKNicole Kleinstreuer
Nicole Kleinstreuer


1 September 2019 in Food and Chemical Toxicology
Verified
Journal Article
Closed access
CLCathy Lester
Cathy Lester
JTJohn Troutman
John Troutman
COCindy Obringer
Cindy Obringer
KWKenneth Wehmeyer
Kenneth Wehmeyer
PSPeter Stoffolano
Peter Stoffolano
CMCatherine Mahony
Catherine Mahony

14 March 2018 in Birth Defects Research
Verified
Journal Article
Open access
PDF file
JTJohn Troutman
John Troutman
MSMary C. Sullivan
Mary C. Sullivan
GCGregory J. Carr
Gregory J. Carr
JFJeffrey Fisher
Jeffrey Fisher
Physiologically based pharmacokinetic (PBPK) models are developed from compound‐independent information to describe important anatomical and physiological characteristics of an individual or population of interest. Modeling pediatric populations is challenging because of the rapid changes that occur during growth, particularly in the first few weeks and months after birth. Neonates who are born premature pose several unique challenges in PBPK model development. To provide appropriate descriptions for body weight (BW) and height (Ht) for age and appropriate incremental gains in PBPK models of the developing preterm and full term neonate, anthropometric measurements collected longitudinally from 1,063 preterm and 158 full term neonates were combined with 2,872 cross‐sectional measurements obtained from the NHANES 2007–2010 survey. Age‐specific polynomial growth equations for BW and Ht were created for male and female neonates with corresponding gestational birth ages of 25, 28, 31, 34, and 40 weeks. Model‐predicted weights at birth were within 20% of published fetal/neonatal reference standards. In comparison to full term neonates, postnatal gains in BW and Ht were slower in preterm subgroups, particularly in those born at earlier gestational ages. Catch up growth for BW in neonates born at 25, 28, 31, and 34 weeks gestational age was complete by 13, 8, 6, and 2 months of life (males) and by 10, 6, 5, and 2 months of life (females), respectively. The polynomial growth equations reported in this paper represent extrauterine growth in full term and preterm neonates and differ from the intrauterine growth standards that were developed for the healthy unborn fetus.

28 May 2021 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
AHAbdullah Hamadeh
Abdullah Hamadeh
JTJohn Troutman
John Troutman
AEAndrea Edginton
Andrea Edginton
Systemic disposition of dermally applied chemicals is often formulation-dependent. Rapid evaporation of the vehicle can result in crystallization of active compounds, limiting their degree of skin penetration. In addition, the choice of vehicle can affect the permeant’s degree of penetration into the stratum corneum. The aim of this study is to build a predictive, mechanistic, dermal absorption model that accounts for vehicle-specific effects on the kinetics of permeant transport into skin. An existing skin penetration model is extended to explicitly include the effect of vehicle volatility over time. Using in vitro measurements of skin penetration by chemicals applied in both a saline and an ethanol solvent, the model is optimized to learn two vehicle-specific quantities: the solvent evaporation rate and the extent of permeant deposition into the upper stratum corneum immediately following application. The dermal disposition estimates of the trained model are subsequently compared against those of the original model using further in vitro measurements. The trained model showed a 1.5-fold improvement and a 19-fold improvement in overall goodness of fit among compounds tested in saline and ethanol solvents, respectively. The proposed model structure can thus form a basis for in vitro to in vivo extrapolations of dermal disposition for skin formulations containing volatile components.

14 June 2013 in In Silico Pharmacology
Verified
Journal Article
Open access
YDYuri Dancik
Yuri Dancik
JTJohn Troutman
John Troutman
JJJoanna Jaworska
Joanna Jaworska
Purpose: 1. To develop a framework for exposure calculation via the dermal route to meet the needs of 21st century toxicity testing and refine current approaches; 2. To demonstrate the impact of exposure scenario and application conditions on the plasma concentration following dermal exposure.Method: A workflow connecting a dynamic skin penetration model with a generic whole-body physiologically-based pharmacokinetic (PBPK) model was developed. The impact of modifying exposure scenarios and application conditions on the simulated steady-state plasma concentration and exposure conversion factor was investigated for 9 chemicals tested previously in dermal animal studies which did not consider kinetics in their experimental designs.Results: By simulating the animal study scenarios and exposure conditions, we showed that 7 studies were conducted with finite dose exposures, 1 with both finite and infinite dose exposures (in these 8 studies, an increase in the animal dose resulted in an increase in the simulated steady-state plasma concentrations (Cp,ss)), while 1 study was conducted with infinite dose exposures only (an increase in the animal dose resulted in identicalCp,ss). Steady-state plasma concentrations were up to 30-fold higher following an infinite dose scenario vs. a finite dose scenario, and up to 40-fold higher with occlusion vs. without. Depending on the chemical, the presence of water as a vehicle increased or decreased the steady-state plasma concentration, the largest difference being a factor of 16.Conclusions: The workflow linking Kasting’s model of skin penetration and whole-body PBPK enables estimation of plasma concentrations for various applied doses, exposure scenarios and application conditions. Consequently, it provides a quantitative, mechanistic tool to refine dermal exposure calculations methodology for further use in risk assessment.