Evidence map›Paper›PMID 31802503›Full record

ArticleJournal of clinical pharmacology2020

Population Pharmacokinetic Modeling of Acetaminophen Protein Adducts in Adults and Children.

Sibo Jiang, Kumpal Madrasi, Tanay Samant, Chakradhar Lagishetty, Valvanera Vozmediano, Angela Chiew, Susan M Abdel-Rahman, Laura P James, Stephan Schmidt

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. A systems pharmacology model for paracetamol overdose and treatment.Journal of pharmacokinetics and pharmacodynamics · 2026
    Article
  2. Article
  3. [Advancements in the diagnosis and treatment of pediatric acute liver failure].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
  4. 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.

Sibo JiangCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0001-6444-5576
Kumpal MadrasiCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0002-1442-8919
Tanay SamantCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0003-3474-4406
Chakradhar LagishettyCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0002-6545-245X
Valvanera VozmedianoCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0002-2636-1889
Angela ChiewDepartment of Clinical Toxicology Prince of Wales Hospital, Randwick, NSW, Australia.ORCID https://orcid.org/0000-0002-0079-5056
Susan M Abdel-RahmanDivision of Clinical Pharmacology and Medical Toxicology, Children's Mercy Hospitals and Clinics, Kansas City, Missouri, USA.ORCID https://orcid.org/0000-0002-5815-2029
Laura P JamesDepartment of Pediatrics, University of Arkansas for Medical Sciences and Arkansas Children's Hospital Research Institute, Little Rock, Arkansas, USA.ORCID https://orcid.org/0000-0002-4266-3924
Stephan SchmidtCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0002-4998-1167
University of Central Florida · USArkansas Children's Hospital · USChildren's Hospital at Westmead · AUChildren's Mercy Hospital · US

Funding

Identification of new mechanistic biomarkers of adverse responses to acetaminopheR01DK081406 · NIDDK · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI JAMES, LAURA P · 2009 to 2013
$1.9M
National Institute of Digestive, Diabetes, and Kidney Diseases DK081406NIDDK NIH HHS R01 DK081406
6 · The paper itself

Abstract

Acetaminophen protein adducts (adducts) are a well-established biomarker to diagnose acetaminophen toxicity. To date, the quantitative relationship between acetaminophen exposure, which drives adduct formation, and adduct exposure remains to be established. Our study characterized the adduct formation and disposition in adults using the approach of population parent-metabolite modeling. It demonstrated formation-limited pharmacokinetics (PK) for adducts in healthy subjects. This finding expands the existing knowledge on adduct PK that showed an apparent long elimination half-life. We then allometrically scaled the adduct PK model to children, simulated the adduct profiles, and compared these simulated profiles with those observed in an independent cohort of children. The scaled model significantly overpredicted the adduct concentrations in children early on in treatment and underpredicted concentrations following repeated acetaminophen doses. These results suggest that children demonstrate different adduct PK behavior from that of adults, most likely because of increased reactive metabolite detoxification in children. In summary, we described the first PK model linking acetaminophen and acetaminophen protein adduct concentrations, which provides a semimechanistic understanding of varying profiles of adduct exposure in adults and children.

Indexed as

acetaminophen protein adductsbiomarkershepatotoxicityparent-metabolite modelpediatrics

Identifiers

PMID31802503
PMCPMC7643159
OpenAlexW2991761357

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.