Evidence map›Paper›PMID 42771058›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2026

A systems pharmacology model for paracetamol overdose and treatment.

Jingyun Li, Angela L Chiew, Geoffrey K Isbister, Stephen B Duffull

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Article in Journal of pharmacokinetics and pharmacodynamics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jingyun LiSchool of Pharmacy, University of Otago, Dunedin, New Zealand. lijingyun1224@126.com.ORCID http://orcid.org/0000-0002-8095-5768
Angela L ChiewEmergency Department and Clinical Toxicology, Prince of Wales Hospital and Community Health Services, Randwick, Australia.
Geoffrey K IsbisterNSW Poisons Information Centre, Children's Hospital at Westmead, Westmead, Australia.
Stephen B DuffullSchool of Pharmacy, University of Otago, Dunedin, New Zealand.

Funding

NHMRC Investigator Grant 2022/GNT2016380
6 · The paper itself

Abstract

Paracetamol overdose is the leading cause of acute liver failure in many countries, including North America and the United Kingdom. While timely administration with the standard treatment is generally effective, the optimal treatment for scenarios such as "massive" overdose or modified release paracetamol overdose remains unknown. In this work we aim to develop and calibrate a systems pharmacology model for paracetamol-induced hepatotoxicity with the influence of administration of the antidote N-acetylcysteine (NAC). The system model integrates five components, including (1) input of paracetamol, (2) paracetamol metabolism of parent drug and metabolites, (3) physiological turnover of endogenous sulfur-containing substrates, including the metabolism of cysteine to produce glutathione and inorganic sulfate, etc., (4) a general model for the release of biomarkers from injured hepatocytes to blood, and (5) a PK model for NAC and three proposed mechanisms of NAC effect. The final systems model demonstrated a good description of the concentration-time courses of paracetamol, its metabolites and biomarkers after administration of a normal dose to a large overdose of paracetamol. The final model provides a quantitative and comprehensive understanding of the causal pathway of paracetamol-induced liver toxicity and its treatment, which allows the investigation of the 'what if' scenarios in the rescue of paracetamol poisoning.

Indexed as

AcetaminophenAcetylcysteineAnalgesics, Non-NarcoticAntidotesChemical and Drug Induced Liver InjuryDrug OverdoseModels, BiologicalBiomarkersHumansAcetaminophenAcetylcysteineAnalgesics, Non-NarcoticAntidotesBiomarkersAcetaminophenHepatoxicityMetabolitesOverdoseQuantitative pharmacologySystems pharmacology

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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.