Evidence map›Paper›PMID 42801342›Full record

ArticleBiomechanics and modeling in mechanobiology2026

Targeted cell deposition for lung re-endothelialization.

Jason K D Chan, Eric A Chadwick, Daisuke Taniguchi, Mohammadali Ahmadipour, Takaya Suzuki, David Romero, Cristina Amon, Thomas K Waddell, Golnaz Karoubi, Aimy Bazylak

Abstract read
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In one paragraph

Article in Biomechanics and modeling in mechanobiology, 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

10 authors.

Jason K D ChanDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
Eric A ChadwickDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
Daisuke TaniguchiLatner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, Canada.
Mohammadali AhmadipourLatner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, Canada.
Takaya SuzukiDepartment of Thoracic Surgery, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
David RomeroDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
Cristina AmonDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
Thomas K WaddellLatner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, Canada.
Golnaz KaroubiLatner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, Canada. golnaz.karoubi@uhn.ca.
Aimy BazylakDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada. aimy.bazylak@utoronto.ca.

Funding

Canada First Research Excellence Fund Medicine by Design ProgramCanada Research Chairs Program Clean EnergyCIHR GrantNatural Sciences and Engineering Research Council of Canada Discovery GrantNSERC Collaborative Health Research Projects Grant
6 · The paper itself

Abstract

We created computational fluid dynamic models of murine lung vasculature to assess the quantity and quality of cell deposition for lung re-endothelialization under three cell seeding protocols. These protocols include the standard direct injection seeding, negative pressure seeding, and a novel dual boundary condition seeding protocol. Our results indicate that cell seeding efficiencies are similar between the direct injection and negative pressure seeding protocols. The dual boundary condition protocol, which utilizes the direct injection of cell media with the addition of a prescribed pressure boundary condition at the parenchyma, exhibited increased cell deposition efficiencies of up to 14% compared to the direct injection and negative pressure cases, as well as the ability to target cell deposition in specific (i.e., proximal and distal) regions of the lung vasculature. This novel dual boundary condition protocol has the potential to increase cell seeding efficiencies during scaffold recellularization, addressing a significant challenge in the field of lung bioengineering.

Indexed as

Endothelial CellsLungAnimalsComputer SimulationHydrodynamicsMiceModels, BiologicalPressureTissue EngineeringBoundary conditionCell seedingComputational fluid dynamicsLung regenerationLung tissue engineeringRe-endothelialization

Identifiers

PMID42801342
PMCPMC13616841

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.