Evidence map›Paper›PMID 29654492›Full record

Trial reportClinical pharmacokinetics2018

Polymorphic Expression of UGT1A9 is Associated with Variable Acetaminophen Glucuronidation in Neonates: A Population Pharmacokinetic and Pharmacogenetic Study.

Matthew W Linakis, Sarah F Cook, Shaun S Kumar, Xiaoxi Liu, Diana G Wilkins, Roger Gaedigk, Andrea Gaedigk, Catherine M T Sherwin, John N van den Anker

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Acetaminophen Hepatotoxicity.Seminars in liver disease · 2019
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Matthew W LinakisDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, 295 Chipeta Way, Suite 1S100, Salt Lake City, UT, 84108, USA.
Sarah F CookDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Shaun S KumarDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, 295 Chipeta Way, Suite 1S100, Salt Lake City, UT, 84108, USA.
Xiaoxi LiuDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, 295 Chipeta Way, Suite 1S100, Salt Lake City, UT, 84108, USA.
Diana G WilkinsDepartment of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, UT, USA.
Roger GaedigkDivision of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City and School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA.
Andrea GaedigkDivision of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City and School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA.
Catherine M T SherwinDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, 295 Chipeta Way, Suite 1S100, Salt Lake City, UT, 84108, USA. Catherine.Sherwin@hsc.utah.edu.
John N van den AnkerDivision of Clinical Pharmacology, Children's National Health System, Washington, DC, USA.
University of Utah · USChildren's Mercy Hospital · USChildren's National · USUniversity at Buffalo, State University of New York · US

Funding

Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
Metabolism and Toxicity of Acetaminophen in Preterm InfantsR01HD060543 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VAN DEN ANKER, JOHANNES NICOLAAS · 2010 to 2014
$1.5M
NCATS NIH HHS UL1 TR000075NICHD NIH HHS R01 HD060543
6 · The paper itself

Abstract

introductionAcetaminophen (paracetamol, APAP) is widely used as an analgesic and antipyretic drug in children and neonates. A number of enzymes contribute to the metabolism of acetaminophen, and genetic factors might be important to explain variability in acetaminophen metabolism among individuals.

methodsThe current investigation utilized a previously published parent-metabolite population pharmacokinetic model describing acetaminophen glucuronidation, sulfation, and oxidation to examine the potential role of genetic variability on the relevant metabolic pathways. Neonates were administered 30-min intravenous infusions of acetaminophen 15 mg/kg every 12 h (< 28 weeks' gestational age [GA]) or every 8 h (≥ 28 weeks GA) for 48 h. A total of 18 sequence variations (SVs) in UDP-glucuronosyltransferase (UGT), sulfotransferase (SULT), and cytochrome P450 (CYP) genes from 33 neonates (aged 1-26 days) were examined in a stepwise manner for an effect on the metabolic formation clearance of acetaminophen by glucuronidation (UGT), sulfation (SULT), and oxidation (CYP). The stepwise covariate modeling procedure was performed using NONMEM

resultsIncorporation of genotype as a covariate for one SV located in the UGT1A9 gene promoter region (rs3832043, - 118 > insT, T

conclusionThis study shows a pharmacogenetic effect of an SV in the UGT1A9 promoter region on the metabolism of acetaminophen in neonates.

Indexed as

Models, BiologicalPolymorphism, GeneticAcetaminophenFemaleGlucuronidesGlucuronosyltransferaseHumansInfant, NewbornMalePromoter Regions, GeneticProspective StudiesUDP-Glucuronosyltransferase 1A9AcetaminophenGlucuronidesGlucuronosyltransferaseUDP-Glucuronosyltransferase 1A9UGT1A9 protein, human

Identifiers

PMID29654492
PMCPMC6785200
OpenAlexW2796717224

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.