Evidence map›Paper›PMID 39726370›Full record

ArticleACS biomaterials science & engineering2025

Enhanced Maturity and Functionality of Vascular Human Liver Organoids through 3D Bioprinting and Pillar Plate Culture.

Vinod Kumar Reddy Lekkala, Sunil Shrestha, Ayah Al Qaryoute, Sanchi Dhinoja, Prabha Acharya, Abida Raheem, Pudur Jagadeeswaran, Moo-Yeal Lee

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Article in ACS biomaterials science & engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Vinod Kumar Reddy LekkalaDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207-7102, United States.
Sunil ShresthaDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207-7102, United States.
Ayah Al QaryouteDepartment of Biological Sciences, University of North Texas, Denton, Texas 76203-5017, United States.
Sanchi DhinojaDepartment of Biological Sciences, University of North Texas, Denton, Texas 76203-5017, United States.
Prabha AcharyaDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207-7102, United States.
Abida RaheemDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207-7102, United States.
Pudur JagadeeswaranDepartment of Biological Sciences, University of North Texas, Denton, Texas 76203-5017, United States.
Moo-Yeal LeeDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207-7102, United States.ORCID 0000-0001-6922-609X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver tissues, composed of hepatocytes, cholangiocytes, stellate cells, Kupffer cells, and sinusoidal endothelial cells, are differentiated from endodermal and mesodermal germ layers. By mimicking the developmental process of the liver, various differentiation protocols have been published to generate human liver organoids (HLOs) in vitro using induced pluripotent stem cells (iPSCs). However, HLOs derived solely from the endodermal germ layer often encounter technical hurdles such as insufficient maturity and functionality, limiting their utility for disease modeling and hepatotoxicity assays. To overcome this, we separately differentiated EpCAM

Indexed as

BioprintingLiverOrganoidsPrinting, Three-DimensionalCell DifferentiationHumansInduced Pluripotent Stem Cellscoagulation factor secretiondeep well plateenhanced organoid maturitypillar platevascular human liver organoids

Identifiers

What OpenQuestion holds

Textmetadata
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.