Evidence map›Paper›PMID 41248757›Full record

ReviewAdvanced drug delivery reviews2026

Spatial patterning strategies for liver tissue engineering: Biofabrication technologies and applications.

Haram Nah, Ashlin R Michell, Kerry M Rogy, Owen J Lally, Salman R Khetani

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Haram NahDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, USA.
Ashlin R MichellDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, USA.
Kerry M RogyDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, USA.
Owen J LallyDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, USA.
Salman R KhetaniDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, USA. Electronic address: skhetani@uic.edu.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Synergistic effects of ECM and heterotypic crosstalk on cellular responses in non-alcoholic fatty liver diseaseR01DK115747 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Salman R Khetani, Gregory H Underhill · 2018 to 2026
$3.7M
Engineered culture platforms to uncover synergies between microenvironmental cues in modulating liver zonationR01DK139487 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Salman R Khetani · 2024 to 2026
$1.0M
NIDDK NIH HHS R01 DK115747NIDDK NIH HHS R01 DK139487NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

The liver is composed of hepatocytes and non-parenchymal cells arranged in precise spatial patterns that enable more than 500 metabolic, synthetic, and detoxification functions. Replicating this hierarchical structure and dynamic multicellular organization is essential for applications in drug development and regenerative medicine. Here, we review biofabrication strategies that encode spatial control in engineered liver tissues. We begin with native hepatic architecture and cell sources, then evaluate self-assembled and engineered aggregates, soft lithography, electrospun scaffolds, three-dimensional bioprinting, and microfluidic systems in terms of their ability to capture physiological features such as zonation, polarity, and vascular or biliary networks. Hybrid approaches that integrate multiple modalities to enhance complexity and function are also highlighted. We next discuss how human liver models are advancing drug metabolism and toxicity screening, disease modeling, and potential therapeutic applications. Finally, we examine current limitations and future directions, emphasizing challenges of scalability, reproducibility, and standardization, along with emerging opportunities in volumetric bioprinting, machine learning-guided design, and regulatory qualification of liver microphysiological systems. Collectively, engineered liver models are poised to play an increasingly critical role in bridging in vitro and in vivo applications as advances in biofabrication bring them closer to clinical and regulatory translation.

Indexed as

LiverTissue EngineeringAnimalsBioprintingHepatocytesHumansPrinting, Three-DimensionalTissue Scaffolds3D bioprintingBiofabricationCell aggregatesHepatocytesLiver tissue engineeringMicrofluidicsSpatial patterning

Identifiers

PMID41248757
PMCPMC12746896

What Socratic 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 Socratic graph.