Literature DB >> 34272706

Ontogeny of Drug-Metabolizing Enzymes.

Aarzoo Thakur1,2, Md Masud Parvez3, J Steven Leeder4, Bhagwat Prasad5.   

Abstract

Almost 50% of prescription drugs lack age-appropriate dosing guidelines and therefore are used "off-label." Only ~10% drugs prescribed to neonates and infants have been studied for safety or efficacy. Immaturity of drug metabolism in children is often associated with drug toxicity. This chapter summarizes data on the ontogeny of major human metabolizing enzymes involved in oxidation, reduction, hydrolysis, and conjugation of drugs. The ontogeny data of individual drug-metabolizing enzymes are important for accurate prediction of drug pharmacokinetics and toxicity in children. This information is critical for designing clinical studies to appropriately test pharmacological hypotheses and develop safer pediatric drugs, and to replace the long-standing practice of body weight- or surface area-normalized drug dosing. The application of ontogeny data in physiologically based pharmacokinetic model and regulatory submission are discussed.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  DME Ontogeny; Drug metabolism; Drug toxicity; PBPK modeling; Pediatric pharmacology

Mesh:

Substances:

Year:  2021        PMID: 34272706     DOI: 10.1007/978-1-0716-1554-6_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  199 in total

1.  Chloramphenicol in the newborn infant. A physiologic explanation of its toxicity when given in excessive doses.

Authors:  C F WEISS; A J GLAZKO; J K WESTON
Journal:  N Engl J Med       Date:  1960-04-21       Impact factor: 91.245

2.  Physicochemical Properties, Biotransformation, and Transport Pathways of Established and Newly Approved Medications: A Systematic Review of the Top 200 Most Prescribed Drugs vs. the FDA-Approved Drugs Between 2005 and 2016.

Authors:  Anitha Saravanakumar; Armin Sadighi; Rachel Ryu; Fatemeh Akhlaghi
Journal:  Clin Pharmacokinet       Date:  2019-10       Impact factor: 6.447

3.  Preterm Physiologically Based Pharmacokinetic Model. Part II: Applications of the Model to Predict Drug Pharmacokinetics in the Preterm Population.

Authors:  Khaled Abduljalil; Xian Pan; Amita Pansari; Masoud Jamei; Trevor N Johnson
Journal:  Clin Pharmacokinet       Date:  2020-04       Impact factor: 6.447

4.  A Preterm Physiologically Based Pharmacokinetic Model. Part I: Physiological Parameters and Model Building.

Authors:  Khaled Abduljalil; Xian Pan; Amita Pansari; Masoud Jamei; Trevor N Johnson
Journal:  Clin Pharmacokinet       Date:  2020-04       Impact factor: 6.447

5.  The gasping syndrome and benzyl alcohol poisoning.

Authors:  J Gershanik; B Boecler; H Ensley; S McCloskey; W George
Journal:  N Engl J Med       Date:  1982-11-25       Impact factor: 91.245

6.  Prediction of the clearance of eleven drugs and associated variability in neonates, infants and children.

Authors:  Trevor N Johnson; Amin Rostami-Hodjegan; Geoffrey T Tucker
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 7.  Developmental expression of drug metabolizing enzymes: impact on disposition in neonates and young children.

Authors:  R N Hines
Journal:  Int J Pharm       Date:  2012-07-03       Impact factor: 5.875

Review 8.  Molecular mechanism of phase I and phase II drug-metabolizing enzymes: implications for detoxification.

Authors:  Takashi Iyanagi
Journal:  Int Rev Cytol       Date:  2007

Review 9.  The ontogeny of drug metabolism enzymes and implications for adverse drug events.

Authors:  Ronald N Hines
Journal:  Pharmacol Ther       Date:  2008-03-05       Impact factor: 12.310

10.  Ontogeny of human hepatic and intestinal transporter gene expression during childhood: age matters.

Authors:  Miriam G Mooij; Ute I Schwarz; Barbara A E de Koning; J Steven Leeder; Roger Gaedigk; Janneke N Samsom; Edwin Spaans; Johannes B van Goudoever; Dick Tibboel; Richard B Kim; Saskia N de Wildt
Journal:  Drug Metab Dispos       Date:  2014-05-14       Impact factor: 3.922

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  2 in total

Review 1.  Applications, Challenges, and Outlook for PBPK Modeling and Simulation: A Regulatory, Industrial and Academic Perspective.

Authors:  Wen Lin; Yuan Chen; Jashvant D Unadkat; Xinyuan Zhang; Di Wu; Tycho Heimbach
Journal:  Pharm Res       Date:  2022-05-13       Impact factor: 4.580

2.  Estimation of Fetal-to-Maternal Unbound Steady-State Plasma Concentration Ratio of P-Glycoprotein and/or Breast Cancer Resistance Protein Substrate Drugs Using a Maternal-Fetal Physiologically Based Pharmacokinetic Model.

Authors:  Jinfu Peng; Mayur K Ladumor; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2022-02-11       Impact factor: 3.922

  2 in total

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