Evidence map›Paper›PMID 37892925›Full record

ArticleBioengineering (Basel, Switzerland)2023

Reproducibility and Robustness of a Liver Microphysiological System PhysioMimix LC12 under Varying Culture Conditions and Cell Type Combinations.

Alicia Y Lim, Yuki Kato, Courtney Sakolish, Alan Valdiviezo, Gang Han, Piyush Bajaj, Jason Stanko, Stephen S Ferguson, Remi Villenave, Philip Hewitt and 2 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Advanced 3D Cell Culture Technologies and Formats.Bioengineering (Basel, Switzerland) · 2025
    Article
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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

12 authors at 7 institutions in 4 countries.

Alicia Y LimDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.
Yuki KatoDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-5616-2728
Courtney SakolishDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.
Alan ValdiviezoDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-9015-7778
Gang HanDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA.
Piyush BajajGlobal Investigative Toxicology, Preclinical Safety, Sanofi, Cambridge, MA 02141, USA.
Jason StankoDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC 27709, USA.
Stephen S FergusonDivision of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC 27709, USA.
Remi VillenaveRoche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
Philip HewittChemical and Preclinical Safety, Merck Healthcare KGaA, 64293 Darmstadt, Germany.ORCID 0000-0002-2741-3409
Rhiannon N HardwickDiscovery Toxicology, Pharmaceutical Candidate Optimization, Bristol Myers Squibb, San Diego, CA 92121, USA.
Ivan RusynDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.
Texas A&M University · USNational Institute of Environmental Health Sciences · USBristol-Myers Squibb (United States) · USMerck (Germany) · DERoche (Switzerland) · CHSanofi (United States) · USShionogi (Japan) · JP

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Efstratios Pistikopoulos · 2017 to 2026
$21.2M
TEX-VAL: Texas A&M Tissue Chip Validation ConsortiumU24TR002633 · NCATS · TEXAS A&M UNIVERSITY · PI RUSYN, IVAN, STEPHAN, CLIFFORD C · 2018 to 2019
$3.0M
NCATS NIH HHS U24 TR002633NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

The liver is one of the key organs for exogenous and endogenous metabolism and is often a target for drug- and chemical-driven toxicity. A wide range of experimental approaches has been established to model and characterize the mechanisms of drug- and chemical-induced hepatotoxicity. A number of microfluidics-enabled in vitro models of the liver have been developed, but the unclear translatability of these platforms has hindered their adoption by the pharmaceutical industry; to achieve wide use for drug and chemical safety evaluation, demonstration of reproducibility and robustness under various contexts of use is required. One of these commercially available platforms is the PhysioMimix LC12, a microfluidic device where cells are seeded into a 3D scaffold that is continuously perfused with recirculating cell culture media to mimic liver sinusoids. Previous studies demonstrated this model's functionality and potential applicability to preclinical drug development. However, to gain confidence in PhysioMimix LC12's robustness and reproducibility, supplementary characterization steps are needed, including the assessment of various human hepatocyte sources, contribution of non-parenchymal cells (NPCs), and comparison to other models. In this study, we performed replicate studies averaging 14 days with either primary human hepatocytes (PHHs) or induced pluripotent stem cell (iPSC)-derived hepatocytes, with and without NPCs. Albumin and urea secretion, lactate dehydrogenase, CYP3A4 activity, and metabolism were evaluated to assess basal function and metabolic capacity. Model performance was characterized by different cell combinations under intra- and inter-experimental replication and compared to multi-well plates and other liver platforms. PhysioMimix LC12 demonstrated the highest metabolic function with PHHs, with or without THP-1 or Kupffer cells, for up to 10-14 days. iPSC-derived hepatocytes and PHHs co-cultured with additional NPCs demonstrated sub-optimal performance. Power analyses based on replicate experiments and different contexts of use will inform future study designs due to the limited throughput and high cell demand. Overall, this study describes a workflow for independent testing of a complex microphysiological system for specific contexts of use, which may increase end-user adoption in drug development.

Indexed as

livermicrophysiological systemstestingtissue chip

Identifiers

PMID37892925
PMCPMC10603899
OpenAlexW4387642743

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.