Evidence map›Paper›PMID 41949899›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Dynamic 3D Human Liver Sinusoid Model for Mechanistic Interrogation of Fontan-Associated Liver Disease.

Sarah Rezapourdamanab, Mehdi Salar Amoli, Tanmay Mukherjee, Maryam Bagheri, Boeun Hwang, Linqi Jin, Yamini Singh, Sophia Norton, Ashay Vishwas Bongirwar, Shweta Karnik and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah RezapourdamanabWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Mehdi Salar AmoliWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Tanmay MukherjeeDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas, USA.
Maryam BagheriWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Boeun HwangWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Linqi JinWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Yamini SinghWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Sophia NortonWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Ashay Vishwas BongirwarWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Shweta KarnikWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Lakshmi Prasad DasiWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Reza AvazmohammadiDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas, USA.
Rene RomeroDivision of Pediatric Gastroenterology, Hepatology and Nutrition, Emory University School of Medicine, Atlanta, Georgia, USA.
Holly D Bauser-HeatonWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.
Vahid SerpooshanWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-5304-095X

Funding

Leveraging 3D bioprinted organoid constructs to pattern and model human brain developmentR01MH126195 · NIMH · EMORY UNIVERSITY · PI SERPOOSHAN, VAHID, SLOAN, STEVEN A · 2021 to 2025
$3.3M
Additional Ventures Expansion AwardEmory University Robert P. Apkarian Integrated Electron Microscopy Core Facility RRID: SCR_023537National Science Foundation CAREER 2044657NHLBI NIH HHS R01 HL131017-05NIMH NIH HHS R01 MH126195
6 · The paper itself

Abstract

Fontan-associated liver disease (FALD) is a progressive complication of Fontan circulation, driven by chronically elevated central venous pressure (CVP) and hypoxia. Current experimental models lack the fidelity to fully recapitulate the complex hemodynamic and cellular microenvironment of the liver sinusoid under Fontan physiology, limiting mechanistic insights and therapeutic discovery. We developed a perfusable, 3D bioengineered human liver sinusoid model incorporating hepatocytes and endothelial cells within a multilayered construct. The platform was cultured under tunable flow and oxygen, simulating physiological and pathological CVP. Structural and mechanical fidelity were assessed using electron microscopy and microindentation. Hemodynamic measurements by catheter and particle image velocimetry were in agreement with those predicted by computational modeling. Sinusoid analogues maintained their architecture, endothelial coverage, and hepatic viability and function over 21 days of culture. Elevated pressure and hypoxia resulted in endothelial activation (VCAM-1, ET-1), hepatocellular stress (HIF1α), fibronectin-rich tissue remodeling, and altered hepatic function (albumin, bile acid, LDH, TGF-β), consistent with early FALD pathology. Structural and molecular responses were altered with varying pressure and oxygen, confirming the platform's sensitivity to mechanical and metabolic cues. This bioengineered 3D model successfully reproduced the key early features of FALD pathophysiology, enabling controlled interrogation of pressure- and hypoxia-induced liver injury.

Indexed as

Fontan ProcedureLiverLiver DiseasesEndothelial CellsHepatocytesHumans3D printingbiofabricationbioprintingdisease modelingFALDFontan‐associated liver diseasehepatic sinusoid

Identifiers

PMID41949899
PMCPMC13248770

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.