Evidence map›Paper›PMID 40089127›Full record

ArticleActa biomaterialia2025

Engineered microtissues to model the effects of dynamic heterotypic cell signaling on iPSC-derived human hepatocyte maturation.

Regeant Panday, Kerry M Rogy, Yong Duk Han, Salman R Khetani

Abstract read
In one paragraph

Article in Acta biomaterialia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. 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

4 authors.

Regeant PandayDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S Morgan St, 218 SEO, Chicago, IL 60607, USA.
Kerry M RogyDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S Morgan St, 218 SEO, Chicago, IL 60607, USA.
Yong Duk HanDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S Morgan St, 218 SEO, Chicago, IL 60607, USA.
Salman R KhetaniDepartment of Biomedical Engineering, University of Illinois Chicago, 851 S Morgan St, 218 SEO, Chicago, IL 60607, USA. Electronic address: skhetani@uic.edu.

Funding

Microenvironmental Control of Liver Progenitor Cell Differentiation and Spatial PatterningR01DK125471 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI UNDERHILL, GREGORY H · 2021 to 2024
$1.9M
A Scalable 3D Human Liver Co-culture Platform for Hepatitis B Virus InfectionR21AI147137 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KHETANI, SALMAN R · 2019 to 2020
$427k
NIAID NIH HHS R21 AI147137NIDDK NIH HHS R01 DK125471
6 · The paper itself

Abstract

In vitro human liver models are indispensable for compound metabolism/toxicity screening, disease modeling, and regenerative medicine. While induced pluripotent stem cell-derived human hepatocyte-like cells (iHeps) mitigate the sourcing limitations with primary human hepatocytes (PHHs), their functional maturity is rate-limiting for application use. During development, immature hepatoblasts interact with different non-parenchymal cell (NPC) types, such as mesenchyme and endothelia, in a spatiotemporal manner to progress through functional maturation. Modeling such interactions in vitro is critical to elucidate the key regulators of iHep maturation. Here, we utilized high-throughput droplet microfluidics to encapsulate iHeps within monodisperse collagen I microgels (Ø ∼ 250 µm), which were coated with NPCs to generate 'microtissues' placed within microwells in multiwell plates. Embryonic fibroblasts and liver sinusoidal endothelial cells (LSECs) induced the highest level of iHep maturation over 4+ weeks of culture compared to adult hepatic stellate cells (myofibroblastic), liver portal fibroblasts, dermal fibroblasts, and human umbilical vein endothelial cells. Combining iHep microtissues in plates with Transwell inserts containing different NPC types enabled the modeling of dynamic heterotypic signaling on iHep maturation; introducing embryonic fibroblast signaling first, followed by LSECs, led to the highest iHep maturation. Unique cytokine secretion profiles were detected across the top-performing microtissue configurations; stromal-derived factor-1 alpha was validated as one factor that enhanced iHep maturation. Lastly, gene expression patterns and regulatory networks showed adult PHH-like maturation in LSEC/iHep microtissues compared to iHep-only microtissues. Overall, microtissues are useful for elucidating the microenvironmental determinants of iHep maturation and for future use in downstream applications. STATEMENT OF SIGNIFICANCE: Induced pluripotent stem cell-derived hepatocyte-like cells (iHeps) hold great promise for drug screening, disease modeling, and regenerative medicine but often exhibit immature phenotypes. We utilized high-throughput droplet microfluidics to generate 3D microtissues containing iHeps and non-parenchymal cell (NPC) types to elucidate the effects of dynamic NPC signaling on iHep maturation. We observed that iHep maturation is significantly enhanced with embryonic fibroblasts and liver sinusoidal endothelial cells (LSEC) compared to adult liver fibroblasts and non-liver endothelia; the LSEC/iHep microtissues showed adult liver-like gene expression signatures. The highest iHep maturation in microtissues was achieved when mesenchymal stimulation was introduced first, followed by LSEC stimulation. Our platform provides a robust framework to elucidate cellular and molecular mediators of iHep maturation and biomedical applications.

Indexed as

Cell DifferentiationHepatocytesInduced Pluripotent Stem CellsModels, BiologicalSignal TransductionTissue EngineeringFibroblastsHumansDroplet microfluidicsEmbryonic fibroblastsiPSC-derived hepatocytesLiverLiver sinusoidal endothelial cellsNon-parenchymal cellsStem cells

Identifiers

PMID40089127
PMCPMC13218545

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LicenceCC BY-NC-ND
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Registered trials

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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.