Evidence map›Paper›PMID 42004617›Full record

ArticleBioactive materials2026

Scalable synthetic peptide hydrogel enables self-organized luminal cavity architecture within hiPSC 3D colonies supporting functional hepatocyte differentiation.

Quan Li, Guangyan Qi, Ling Cai, Abhishek P Shrestha, Sergio Duarte, Yu Shrike Zhang, Ali Zarrinpar, Tawfik Aboellail, Xuming Liu, Jianfa Bai and 5 more

Abstract read
In one paragraph

Article in Bioactive materials, 2026. 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. Review
  2. 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.

Quan LiDepartment of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS, USA.
Guangyan QiInstitute of Regenerative Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Ling CaiDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA.
Abhishek P ShresthaDepartment of Surgery, University of Florida, Gainesville, FL, USA.
Sergio DuarteDepartment of Surgery, University of Florida, Gainesville, FL, USA.
Yu Shrike ZhangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA.
Ali ZarrinparDepartment of Surgery, University of Florida, Gainesville, FL, USA.
Tawfik AboellailKansas State Veterinary Diagnostic Medicine and Pathology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Xuming LiuUSDA-ARE and Department of Entomology, Kansas State University, Manhattan, KS, USA.
Jianfa BaiKansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Md Sharifur RahmanInstitute of Regenerative Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Bruno HagenbuchSchool of Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.
Ming-Shun ChenUSDA-ARE and Department of Entomology, Kansas State University, Manhattan, KS, USA.
Anthony AtalaInstitute of Regenerative Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Xiuzhi Susan SunDepartment of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human induced pluripotent stem cells (hiPSCs) possess broad differentiation potential; however, efficient maturation into functional hepatocytes remains challenging, in part because conventional differentiation strategies rely on 2D culture or partially defined 3D systems that fail to recapitulate key developmental microenvironmental cues. Although 3D culture has been shown to promote hepatic specification and maturation, a fully defined platform that supports the entire differentiation process from hiPSCs in 3D has not been established. Here, we report a scalable synthetic peptide hydrogel (PepGel) platform that enables hiPSCs to self-organize into long-term, proliferative luminal cavity (LC) architectures within 3D colonies (LC-hiPSCs). These LC-hiPSCs exhibited markedly enhanced differentiation efficiency compared to hiPSC aggregates generated via scaffold-free suspension methods. Using a shear-thinning, self-healing hydrogel configuration optimized for suspension culture, we produced large quantities of LC-hiPSCs and directed their differentiation into PepGel-derived hiPSC-derived hepatocyte-like cells (PG-hiHs). PG-hiHs formed polarized, multi-luminal organoid-like structures and exhibited robust expression of hepatocyte-specific genes and proteins, high cytochrome P450 activity, and in vitro metabolic functions comparable to primary human hepatocytes (PHHs). Following live shipment and transplantation into immunocompromised mouse livers, PG-hiHs engrafted efficiently and maintained human-specific albumin and alpha-1 antitrypsin secretion at PHH-equivalent levels. Furthermore, both LC-hiPSCs and PG-hiHs retained viability, structural organization, and phenotype in complex 3D bioprinted constructs for at least 14 days. Together, this work establishes a fully defined, reproducible, and scalable 3D platform that supports the entire differentiation process, overcoming limitations in hiPSC-derived hepatic maturation and enables physiologically relevant hepatocyte-like tissues for disease modeling, regenerative medicine, and biofabrication.

Indexed as

3D organoidsBioprintingFunctional hepatocytesPluripotent stem cellsSynthetic peptide hydrogel

Identifiers

PMID42004617
PMCPMC13084690

What Socratic 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 Socratic graph.