Physiologically Based Pharmacokinetic Modeling Framework to Predict Neonatal Pharmacokinetics of Transplacentally Acquired Emtricitabine, Dolutegravir, and Raltegravir.
Journal
Clinical pharmacokinetics
ISSN: 1179-1926
Titre abrégé: Clin Pharmacokinet
Pays: Switzerland
ID NLM: 7606849
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
accepted:
12
12
2020
pubmed:
3
2
2021
medline:
16
10
2021
entrez:
2
2
2021
Statut:
ppublish
Résumé
Little is understood about neonatal pharmacokinetics immediately after delivery and during the first days of life following intrauterine exposure to maternal medications. Our objective was to develop and evaluate a novel, physiologically based pharmacokinetic modeling workflow for predicting perinatal and postnatal disposition of commonly used antiretroviral drugs administered prenatally to pregnant women living with human immunodeficiency virus. Using previously published, maternal-fetal, physiologically based pharmacokinetic models for emtricitabine, dolutegravir, and raltegravir built with PK-Sim/MoBi Neonatal physiologically based pharmacokinetic models generally captured the initial plasma concentrations after delivery but underestimated concentrations in the terminal phase. The mean percentage error for predicted plasma concentrations was - 71.5%, - 33.8%, and 76.7% for emtricitabine, dolutegravir, and raltegravir, respectively. A sensitivity analysis suggested that the activity of organic cation transporter 2 and uridine diphosphate glucuronosyltransferase 1A1 during the first postnatal days in term newborns is ~11% and ~30% of that in adults, respectively. These findings demonstrate the general feasibility of applying physiologically based pharmacokinetic models to predict washout concentrations of transplacentally acquired drugs in newborns. These models can increase the understanding of pharmacokinetics during the first postnatal days and allow the prediction of drug exposure in this vulnerable population.
Sections du résumé
BACKGROUND AND OBJECTIVE
Little is understood about neonatal pharmacokinetics immediately after delivery and during the first days of life following intrauterine exposure to maternal medications. Our objective was to develop and evaluate a novel, physiologically based pharmacokinetic modeling workflow for predicting perinatal and postnatal disposition of commonly used antiretroviral drugs administered prenatally to pregnant women living with human immunodeficiency virus.
METHODS
Using previously published, maternal-fetal, physiologically based pharmacokinetic models for emtricitabine, dolutegravir, and raltegravir built with PK-Sim/MoBi
RESULTS
Neonatal physiologically based pharmacokinetic models generally captured the initial plasma concentrations after delivery but underestimated concentrations in the terminal phase. The mean percentage error for predicted plasma concentrations was - 71.5%, - 33.8%, and 76.7% for emtricitabine, dolutegravir, and raltegravir, respectively. A sensitivity analysis suggested that the activity of organic cation transporter 2 and uridine diphosphate glucuronosyltransferase 1A1 during the first postnatal days in term newborns is ~11% and ~30% of that in adults, respectively.
CONCLUSIONS
These findings demonstrate the general feasibility of applying physiologically based pharmacokinetic models to predict washout concentrations of transplacentally acquired drugs in newborns. These models can increase the understanding of pharmacokinetics during the first postnatal days and allow the prediction of drug exposure in this vulnerable population.
Identifiants
pubmed: 33527213
doi: 10.1007/s40262-020-00977-w
pii: 10.1007/s40262-020-00977-w
pmc: PMC9334904
mid: NIHMS1821147
doi:
Substances chimiques
Heterocyclic Compounds, 3-Ring
0
Oxazines
0
Piperazines
0
Pyridones
0
Raltegravir Potassium
43Y000U234
dolutegravir
DKO1W9H7M1
Emtricitabine
G70B4ETF4S
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
795-809Subventions
Organisme : NICHD NIH HHS
ID : HHSN275201800001C
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068632
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068616
Pays : United States
Organisme : NICHD NIH HHS
ID : T32 HD087969
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI106716
Pays : United States
Organisme : NICHD NIH HHS
ID : HHSN275201800001I
Pays : United States
Références
Antimicrob Agents Chemother. 2009 Mar;53(3):1067-73
pubmed: 19104016
AIDS. 2018 Mar 27;32(6):729-737
pubmed: 29369162
Clin Pharmacokinet. 2020 Apr;59(4):501-518
pubmed: 31587145
Sci Rep. 2013 Oct 09;3:2903
pubmed: 24104695
Antimicrob Agents Chemother. 2011 Feb;55(2):879-87
pubmed: 21078936
Clin Pharmacokinet. 2017 Dec;56(12):1525-1541
pubmed: 28391404
J Pharm Sci. 2006 Jun;95(6):1238-57
pubmed: 16639716
Drug Metab Dispos. 2012 Jul;40(7):1321-7
pubmed: 22492655
Clin Pharmacokinet. 2017 Nov;56(11):1303-1330
pubmed: 28401479
J Antimicrob Chemother. 2020 Mar 1;75(3):640-647
pubmed: 31860112
Clin Pharmacol Ther. 2019 Nov;106(5):1083-1092
pubmed: 31127606
J Clin Pharmacol. 2018 Oct;58 Suppl 10:S10-S25
pubmed: 30248190
J Acquir Immune Defic Syndr. 2014 Nov 1;67(3):310-5
pubmed: 25162819
J Pharm Sci. 2005 Jun;94(6):1259-76
pubmed: 15858854
J Antimicrob Chemother. 2013 Jul;68(7):1627-34
pubmed: 23515248
PLoS Med. 2019 Sep 20;16(9):e1002895
pubmed: 31539371
CPT Pharmacometrics Syst Pharmacol. 2019 Sep;8(9):643-653
pubmed: 31215170
CPT Pharmacometrics Syst Pharmacol. 2018 Jul;7(7):419-431
pubmed: 29569837
HIV Med. 2012 Apr;13(4):226-35
pubmed: 22129166
Pediatr Res. 2011 Nov;70(5):453-7
pubmed: 21796020
Drug Metab Dispos. 2009 Apr;37(4):873-83
pubmed: 19144773
Curr Pharm Des. 2015;21(39):5688-98
pubmed: 26323410
Pediatr Res. 2015 Jan;77(1-1):2-9
pubmed: 25268145
Xenobiotica. 2017 Jan;47(1):77-85
pubmed: 27052107
Arch Biochem Biophys. 2019 Sep 30;673:108078
pubmed: 31445893
Clin Infect Dis. 2015 Sep 1;61(5):809-16
pubmed: 25944344
J Acquir Immune Defic Syndr. 2014 Dec 1;67(4):375-81
pubmed: 25162818
Antimicrob Agents Chemother. 2012 Jun;56(6):3020-6
pubmed: 22450971
CPT Pharmacometrics Syst Pharmacol. 2019 Dec;8(12):878-882
pubmed: 31671256
Drug Metab Dispos. 2013 Feb;41(2):353-61
pubmed: 23132334
AIDS. 2013 Mar 13;27(5):739-48
pubmed: 23169329
Clin Pharmacokinet. 2020 Nov;59(11):1433-1450
pubmed: 32451908
Curr Pharm Des. 2017;23(38):5943-5954
pubmed: 28990526
Clin Pharmacol Ther. 2015 Sep;98(3):328-35
pubmed: 25975723
Clin Infect Dis. 2021 Jan 23;72(1):121-127
pubmed: 32103260
Drug Metab Dispos. 2007 Sep;35(9):1657-63
pubmed: 17591678
J Clin Pharmacol. 2020 Feb;60(2):240-255
pubmed: 31489678
J Clin Pharmacol. 2019 Sep;59 Suppl 1:S42-S55
pubmed: 31502688
Toxicol Appl Pharmacol. 2020 Dec 15;409:115318
pubmed: 33160985
PLoS Med. 2016 Nov 1;13(11):e1002160
pubmed: 27802281
Drug Metab Pharmacokinet. 2019 Dec;34(6):400-402
pubmed: 31699653
Comput Methods Programs Biomed. 2016 Apr;127:83-93
pubmed: 27000291