Evidence map›Paper›PMID 40791501›Full record

ArticlebioRxiv : the preprint server for biology2025

A 3D

Ashley D Westerfield, Katarzyna A Grzelak, Katie Katsuyama, Vardhman Kumar, Bess M Miller, Joa Yun, Jesse Kirkpatrick, David Mankus, Margaret E Bisher, Abigail K R Lytton-Jean and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

14 authors.

Ashley D WesterfieldORCID 0000-0001-9665-3548
Katarzyna A Grzelak
Katie Katsuyama
Vardhman Kumar
Bess M Miller
Joa Yun
Jesse Kirkpatrick
David Mankus
Margaret E Bisher
Abigail K R Lytton-Jean
Z Gordon Jiang
David D Lee
Christopher S Chen
Sangeeta N Bhatia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholestasis, or disruption in bile flow, is a common yet poorly understood feature of many liver diseases and injuries. Despite this, many engineered human tissue models of liver disease fail to recapitulate physiological bile flow. Here, we present a 3D multicellular spheroid-based model of the human hepatobiliary junction, the interface between hepatocytes and cholangiocytes often disrupted in liver disease that is required for directing bile excreted by hepatocytes into the biliary ductal system. Building on advances in organoid and spheroid engineering, we co-aggregate human hepatocytes and intrahepatic cholangiocytes into adult hepatobiliary organoids (aHBOs) that structurally connect and functionally transport bile. aHBOs directionally transport bile from hepatocyte bile canaliculi to cholangiocyte-lined ductules, which we visualize through a high-throughput imaging assay. Hepatobiliary junction formation and bile flow dynamics are quantified over time using fluorescent bile acid analogs and AI-assisted image analysis. When subjected to hypoxia-reoxygenation, aHBOs recapitulate features of biliary dysfunction that mimics the cholestasis and ischemia-reperfusion injury that complicates liver transplant. Our findings suggest that 1) a reversible reduction in hepatocyte canalicular function under hypoxia, followed by 2) selective cholangiocyte death upon reoxygenation, are processes that potentially contribute to biliary dysfunction upon ischemic injury. This human-derived, scalable platform provides a phenotypically-relevant

Identifiers

PMID40791501
PMCPMC12338512

What OpenQuestion holds

Textmetadata
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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.