Long-term physiological flow rescues regressed microvascular networks and increases their longevity

The incorporation of a functional perfusable microvascular network (MVN) is a common requirement for most organ on-chip-models. Long-term perfusion of MVNs is often required for the maturation of organ phenotypes and disease pathologies and to model the transport of cells and drugs entering organs. Here, we use a microfluidic pump to apply continuous, recirculating physiological flow through self-assembler microvascular networks. In our microphysiological system (MPS), we observe that flow can recover perfusion in regressed MVNs and maintain perfusable MVNs for at least 51 days. Throughout the 51 days, however, the MVNs are continuously remodeling to align with the direction of bulk flow and only appear to attain morphological homeostasis with the use of maintenance medium without growth factors. We observed that the flow resistance of the MVNs decreases over time, and using a computational model, we show that stable vessels have higher flow rates and velocities compared to regressing vessels. Cytokine analysis suggests that static conditions generate an inflammatory state, and that continuous flow reduces inflammation over an extended period. Finally, through bulk RNA sequencing we identify that both the endothelial and fibroblast cells are actively engaged in flow-induced vascular and matrix remodeling and that these effects persist for at least 2 weeks. This MPS can be applied to study hemodynamically driven processes, such as metastatic dissemination or drug distribution, or to model long-term diseases previously not captured by MPS, such as chronic inflammation or aging-associated diseases.

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Publication Details

Journal
npj Biological Physics and Mechanics.
Published
2025-11-04
DOI
https://doi.org/10.1038/s44341-025-00028-0
Citations
6
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
4.04

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article

Long-term physiological flow rescues regressed microvascular networks and increases their longevity

Vivek B. Shenoy, Zhengpeng Wan, Aayush Kant, Vinayak Vinayak et al.
6 citations
npj Biological Physics and Mechanics.
3D Printing in Biomedical Research
4.04
article

Long-term physiological flow rescues regressed microvascular networks and increases their longevity

Vivek B. Shenoy, Zhengpeng Wan, Aayush Kant, Vinayak Vinayak, Elena Cambria, Giovanni S. Offeddu, Marie Floryan, Mark F. Coughlin, Jordan A. Whisler, Adriana Blazeski, Roger D. Kamm
article en
6 citations

Abstract

The incorporation of a functional perfusable microvascular network (MVN) is a common requirement for most organ on-chip-models. Long-term perfusion of MVNs is often required for the maturation of organ phenotypes and disease pathologies and to model the transport of cells and drugs entering organs. Here, we use a microfluidic pump to apply continuous, recirculating physiological flow through self-assembler microvascular networks. In our microphysiological system (MPS), we observe that flow can recover perfusion in regressed MVNs and maintain perfusable MVNs for at least 51 days. Throughout the 51 days, however, the MVNs are continuously remodeling to align with the direction of bulk flow and only appear to attain morphological homeostasis with the use of maintenance medium without growth factors. We observed that the flow resistance of the MVNs decreases over time, and using a computational model, we show that stable vessels have higher flow rates and velocities compared to regressing vessels. Cytokine analysis suggests that static conditions generate an inflammatory state, and that continuous flow reduces inflammation over an extended period. Finally, through bulk RNA sequencing we identify that both the endothelial and fibroblast cells are actively engaged in flow-induced vascular and matrix remodeling and that these effects persist for at least 2 weeks. This MPS can be applied to study hemodynamically driven processes, such as metastatic dissemination or drug distribution, or to model long-term diseases previously not captured by MPS, such as chronic inflammation or aging-associated diseases.

npj Biological Physics and Mechanics.Vol. 2(1)
Massachusetts Institute of Technology (US), University of Pennsylvania (US), Philadelphia University (US)
National Science Foundation, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Ludwig Center at Harvard, National Cancer Institute
Openalex Percentile: Top 6%
3D Printing in Biomedical Research
4.04
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