A vascularized liver microphysiological system captures key features of hepatic insulin resistance and monocyte infiltration

In vitro models can recapitulate aspects of human liver diseases, thereby aiding therapeutic development. Dynamic interactions with vascular and immune cells contribute to disease progression in ways that are challenging to capture in the hepatic spheroid models commonly used for assessing facets of metabolism and disease. To address this, we developed a microphysiological system (MPS) featuring multicellular human hepatic spheroids physically integrated with self-organized microvascular networks. We demonstrate this MPS's utility by modeling an insulin resistance state, where chronic exposure to disease-mimetic conditions yields altered hepatocyte metabolism, dysregulated vascular features, and increased inflammation state. We extend this system to capture disease-relevant changes in immune cell recruitment, showing that monocytes perfused through the vasculature will extravasate toward hepatic spheroids, with insulin-resistant samples exhibiting greater infiltration. Altogether, this vascularized liver MPS captures local hepatocyte-immune-microvascular interactions in an accessible microfluidic platform, enabling the study of clinically relevant immune-tissue interactions in complex metabolic disease.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-02-03
DOI
https://doi.org/10.1038/s41467-025-68031-6
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
21.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A vascularized liver microphysiological system captures key features of hepatic insulin resistance and monocyte infiltration

Erin N. Tevonian, Anisha Datta, Ellen L. Kan, Kairav K. Maniar et al.
1 citations
Nature Communications
3D Printing in Biomedical Research
21.28
article

A vascularized liver microphysiological system captures key features of hepatic insulin resistance and monocyte infiltration

Erin N. Tevonian, Anisha Datta, Ellen L. Kan, Kairav K. Maniar, Roger D. Kamm, Alex J. Wang, Douglas A. Lauffenburger, Linda G. Griffith
article en
1 citations

Abstract

In vitro models can recapitulate aspects of human liver diseases, thereby aiding therapeutic development. Dynamic interactions with vascular and immune cells contribute to disease progression in ways that are challenging to capture in the hepatic spheroid models commonly used for assessing facets of metabolism and disease. To address this, we developed a microphysiological system (MPS) featuring multicellular human hepatic spheroids physically integrated with self-organized microvascular networks. We demonstrate this MPS's utility by modeling an insulin resistance state, where chronic exposure to disease-mimetic conditions yields altered hepatocyte metabolism, dysregulated vascular features, and increased inflammation state. We extend this system to capture disease-relevant changes in immune cell recruitment, showing that monocytes perfused through the vasculature will extravasate toward hepatic spheroids, with insulin-resistant samples exhibiting greater infiltration. Altogether, this vascularized liver MPS captures local hepatocyte-immune-microvascular interactions in an accessible microfluidic platform, enabling the study of clinically relevant immune-tissue interactions in complex metabolic disease.

Nature CommunicationsVol. 17(1)
Massachusetts Institute of Technology (US)
National Science Foundation, Massachusetts Institute of Technology, Massachusetts Life Sciences Center, Siebel Scholars Foundation
Good health and well-being
Openalex Percentile: Top 1%
3D Printing in Biomedical Research
21.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.