Evidence map›Paper›PMID 29737521›Full record

ArticleClinical pharmacology and therapeutics2019

Age- and Genotype-Dependent Variability in the Protein Abundance and Activity of Six Major Uridine Diphosphate-Glucuronosyltransferases in Human Liver.

Deepak Kumar Bhatt, Aanchal Mehrotra, Andrea Gaedigk, Revathi Chapa, Abdul Basit, Haeyoung Zhang, Prachi Choudhari, Mikael Boberg, Robin E Pearce, Roger Gaedigk and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
20.3field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

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  18. Mechanisms of altered hepatic drug disposition during pregnancy: small molecules.Expert opinion on drug metabolism & toxicology · 2025
    Review
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Deepak Kumar BhattDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Aanchal MehrotraDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Andrea GaedigkDivision of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy-Kansas City, Missouri, and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Revathi ChapaDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Abdul BasitDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Haeyoung ZhangDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Prachi ChoudhariDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Mikael BobergDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
Robin E PearceDivision of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy-Kansas City, Missouri, and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Roger GaedigkDivision of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy-Kansas City, Missouri, and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Ulrich BroeckelSection of Genomic Pediatrics, Department of Pediatrics, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
J Steven LeederDivision of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy-Kansas City, Missouri, and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Bhagwat PrasadDepartment of Pharmaceutics, University of Washington, Seattle, Washington, USA.
University of Washington · USUniversity of Missouri–Kansas City · USMedical College of Wisconsin · USUniversity of Gothenburg · SE

Funding

PBPK prediction of ontogeny mediated alteration in hepatic drug eliminationR01HD081299 · NICHD · WASHINGTON STATE UNIVERSITY · PI PRASAD, BHAGWAT · 2015 to 2025
$4.6M
NICHD NIH HHS R01 HD081299
6 · The paper itself

Abstract

The ontogeny of hepatic uridine diphosphate-glucuronosyltransferases (UGTs) was investigated by determining their protein abundance in human liver microsomes isolated from 136 pediatric (0-18 years) and 35 adult (age >18 years) donors using liquid chromatography / tandem mass spectrometry (LC-MS/MS) proteomics. Microsomal protein abundances of UGT1A1, UGT1A4, UGT1A6, UGT1A9, UGT2B7, and UGT2B15 increased by ∼8, 55, 35, 33, 8, and 3-fold from neonates to adults, respectively. The estimated age at which 50% of the adult protein abundance is observed for these UGT isoforms was between 2.6-10.3 years. Measured in vitro activity was generally consistent with the protein data. UGT1A1 protein abundance was associated with multiple single nucleotide polymorphisms exhibiting noticeable ontogeny-genotype interplay. UGT2B15 rs1902023 (*2) was associated with decreased protein activity without any change in protein abundance. Taken together, these data are invaluable to facilitate the prediction of drug disposition in children using physiologically based pharmacokinetic modeling as demonstrated here for zidovudine and morphine.

Indexed as

GenotypeAdolescentAge FactorsAnalgesics, OpioidAntimetabolitesChildChild, PreschoolEnzyme ActivationGlucuronosyltransferaseHumansInfantInfant, NewbornMicrosomes, LiverMorphineUGT1A1 EnzymeYoung AdultAnalgesics, OpioidAntimetabolitesGlucuronosyltransferaseMorphineUGT1A1 EnzymeZidovudine

Identifiers

PMID29737521
PMCPMC6222000
OpenAlexW2800645861

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.