Evidence map›Paper›PMID 37298645›Full record

ArticleInternational journal of molecular sciences2023

The Combination of a Human Biomimetic Liver Microphysiology System with BIOLOGXsym, a Quantitative Systems Toxicology (QST) Modeling Platform for Macromolecules, Provides Mechanistic Understanding of Tocilizumab- and GGF2-Induced Liver Injury.

James J Beaudoin, Lara Clemens, Mark T Miedel, Albert Gough, Fatima Zaidi, Priya Ramamoorthy, Kari E Wong, Rangaprasad Sarangarajan, Christina Battista, Lisl K M Shoda and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. 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

15 authors at 3 institutions in 1 country.

James J BeaudoinDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.ORCID 0000-0002-6926-8844
Lara ClemensDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.
Mark T MiedelDepartment of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Albert GoughDepartment of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA.ORCID 0000-0001-6456-0195
Fatima ZaidiMetabolon Inc., Durham, NC 27713, USA.
Priya RamamoorthyMetabolon Inc., Durham, NC 27713, USA.
Kari E WongMetabolon Inc., Durham, NC 27713, USA.
Rangaprasad SarangarajanMetabolon Inc., Durham, NC 27713, USA.
Christina BattistaDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.ORCID 0000-0003-0469-0208
Lisl K M ShodaDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.
Scott Q SilerDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.
D Lansing TaylorDepartment of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Brett A HowellDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.
Lawrence A VernettiDepartment of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA.ORCID 0000-0003-4861-3167
Kyunghee YangDILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA.
Triangle · USMetabolon (United States) · USUniversity of Pittsburgh · US

Funding

Qualification of Patient-Derived Biomimetic Liver MPS as Drug Discovery Tools for Drug Metabolism, Toxicity, Drug Efficacy Testing and Clinical Trial Cohort SelectionU2CTR004863 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mark T. Miedel, Mark E Schurdak · 2024 to 2026
$6.1M
Software for predicting liver injury from biologics drug candidates using data from a human liver microphysiology systemR44TR003535 · NCATS · SIMULATIONS PLUS, INC. · PI YANG, KYUNGHEE · 2022 to 2023
$1.7M
Software for Predicting Liver Injury from Biologics Drug Candidates Using Data from a Human Liver Microphysiology SystemR43TR003535 · NCATS · SIMULATIONS PLUS, INC. · PI HOWELL, BRETT ALYN · 2021 to 2021
$251k
NCATS NIH HHS R44 TR003535NCATS NIH HHS U2C TR004863NIH HHS R43TR003535NIH HHS R44TR003535
6 · The paper itself

Abstract

Biologics address a range of unmet clinical needs, but the occurrence of biologics-induced liver injury remains a major challenge. Development of cimaglermin alfa (GGF2) was terminated due to transient elevations in serum aminotransferases and total bilirubin. Tocilizumab has been reported to induce transient aminotransferase elevations, requiring frequent monitoring. To evaluate the clinical risk of biologics-induced liver injury, a novel quantitative systems toxicology modeling platform, BIOLOGXsym™, representing relevant liver biochemistry and the mechanistic effects of biologics on liver pathophysiology, was developed in conjunction with clinically relevant data from a human biomimetic liver microphysiology system. Phenotypic and mechanistic toxicity data and metabolomics analysis from the Liver Acinus Microphysiology System showed that tocilizumab and GGF2 increased high mobility group box 1, indicating hepatic injury and stress. Tocilizumab exposure was associated with increased oxidative stress and extracellular/tissue remodeling, and GGF2 decreased bile acid secretion. BIOLOGXsym simulations, leveraging the in vivo exposure predicted by physiologically-based pharmacokinetic modeling and mechanistic toxicity data from the Liver Acinus Microphysiology System, reproduced the clinically observed liver signals of tocilizumab and GGF2, demonstrating that mechanistic toxicity data from microphysiology systems can be successfully integrated into a quantitative systems toxicology model to identify liabilities of biologics-induced liver injury and provide mechanistic insights into observed liver safety signals.

Indexed as

Biological ProductsChemical and Drug Induced Liver InjuryChemical and Drug Induced Liver Injury, ChronicAntibodies, Monoclonal, HumanizedBiomimeticsHumansLiverNeuregulin-1Antibodies, Monoclonal, HumanizedBiological ProductscimaglerminNeuregulin-1tocilizumabhepatotoxicityhuman liver microphysiology systemmacromoleculequantitative systems toxicology (QST) modeling

Identifiers

PMID37298645
PMCPMC10253699
OpenAlexW4379185345

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.