Evidence map›Paper›PMID 28074467›Full record

ArticleClinical pharmacology and therapeutics2017

Systems pharmacology modeling of drug-induced hyperbilirubinemia: Differentiating hepatotoxicity and inhibition of enzymes/transporters.

K Yang, C Battista, J L Woodhead, S H Stahl, J T Mettetal, P B Watkins, S Q Siler, B A Howell

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Using Quantitative Systems Toxicology to Investigate Observed Species Differences in CKA-Mediated Hepatotoxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2018
    Trial
  2. Article
  3. Risk Assessment for Drug-Induced Hyperbilirubinemia: A Mechanistic Approach.CPT: pharmacometrics & systems pharmacology · 2026
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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

8 authors at 4 institutions in 2 countries.

K YangDILIsym Services Inc, Research Triangle Park, North Carolina, USA.
C BattistaDILIsym Services Inc, Research Triangle Park, North Carolina, USA.
J L WoodheadDILIsym Services Inc, Research Triangle Park, North Carolina, USA.
S H StahlADME Transporters, Drug Safety and Metabolism, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
J T MettetalDrug Safety and Metabolism, AstraZeneca R&D, Waltham, Massachusetts, USA.
P B WatkinsUniversity of North Carolina Institute for Drug Safety Sciences, The Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
S Q SilerDILIsym Services Inc, Research Triangle Park, North Carolina, USA.
B A HowellDILIsym Services Inc, Research Triangle Park, North Carolina, USA.
Research Triangle Park Foundation · USAstraZeneca (United Kingdom) · GBAstraZeneca (United States) · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevations in serum bilirubin during drug treatment may indicate global liver dysfunction and a high risk of liver failure. However, drugs also can increase serum bilirubin in the absence of hepatic injury by inhibiting specific enzymes/transporters. We constructed a mechanistic model of bilirubin disposition based on known functional polymorphisms in bilirubin metabolism/transport. Using physiologically based pharmacokinetic (PBPK) model-predicted drug exposure and enzyme/transporter inhibition constants determined in vitro, our model correctly predicted indinavir-mediated hyperbilirubinemia in humans and rats. Nelfinavir was predicted not to cause hyperbilirubinemia, consistent with clinical observations. We next examined a new drug candidate that caused both elevations in serum bilirubin and biochemical evidence of liver injury in rats. Simulations suggest that bilirubin elevation primarily resulted from inhibition of transporters rather than global liver dysfunction. We conclude that mechanistic modeling of bilirubin can help elucidate underlying mechanisms of drug-induced hyperbilirubinemia, and thereby distinguish benign from clinically important elevations in serum bilirubin.

Indexed as

AnimalsBilirubinCarrier ProteinsChemical and Drug Induced Liver InjuryComputer SimulationEnzyme InhibitorsHIV Protease InhibitorsHumansHyperbilirubinemiaIndinavirLiverMiceMice, KnockoutModels, BiologicalNelfinavirPharmacokineticsBilirubinCarrier ProteinsEnzyme InhibitorsHIV Protease InhibitorsIndinavirNelfinavirReceptors, Chemokine

Identifiers

PMID28074467
PMCPMC5367379
OpenAlexW2579455025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.