Evidence map›Paper›PMID 35660016›Full record

ArticleActa biomaterialia2022

In silico optimization of heparin microislands in microporous annealed particle hydrogel for endothelial cell migration.

Lauren J Pruett, Alex L Taing, Neharika S Singh, Shayn M Peirce, Donald R Griffin

Abstract read
In one paragraph

Article in Acta biomaterialia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Biofabrication and Characterization of Vascularizing PEG-Norbornene Microgels.Journal of biomedical materials research. Part A · 2025
    Article
  7. Article
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

5 authors.

Lauren J PruettDepartment of Biomedical Engineering, University of Virginia, 415 Lane Rd., Charlottesville, VA 22908, United States.
Alex L TaingDepartment of Biomedical Engineering, University of Virginia, 415 Lane Rd., Charlottesville, VA 22908, United States.
Neharika S SinghDepartment of Biomedical Engineering, University of Virginia, 415 Lane Rd., Charlottesville, VA 22908, United States.
Shayn M PeirceDepartment of Biomedical Engineering, University of Virginia, 415 Lane Rd., Charlottesville, VA 22908, United States.
Donald R GriffinDepartment of Biomedical Engineering, University of Virginia, 415 Lane Rd., Charlottesville, VA 22908, United States; Department of Chemical Engineering, University of Virginia, 102 Engineer's Way, Charlottesville, VA 22904, United States. Electronic address: dg2gf@virginia.edu.

Funding

Engineering Injectable Microporous Hydrogels for Diabetic Wound RepairR01DK126020 · NIDDK · UNIVERSITY OF VIRGINIA · PI GRIFFIN, DONALD RICHIERI · 2021 to 2025
$3.1M
Improving Spontaneous Gradient Formation in Hydrogels Using Agent-Based ModelingF31HL154731 · NHLBI · UNIVERSITY OF VIRGINIA · PI PRUETT, LAUREN · 2020 to 2021
$73k
NHLBI NIH HHS F31 HL154731NIDDK NIH HHS R01 DK126020
6 · The paper itself

Abstract

Biomaterials capable of generating growth factor gradients have shown success in guiding tissue regeneration, as growth factor gradients are a physiologic driver of cell migration. Of particular importance, a focus on promoting endothelial cell migration is vital to angiogenesis and new tissue formation. Microporous Annealed Particle (MAP) scaffolds represent a unique niche in the field of regenerative biomaterials research as an injectable biomaterial with an open porosity that allows cells to freely migrate independent of material degradation. Recently, we have used the MAP platform to heterogeneously include spatially isolated heparin-modified microgels (heparin microislands) which can sequester growth factors and guide cell migration. In in vitro sprouting angiogenesis assays, we observed a parabolic relationship between the percentage of heparin microislands and cell migration, where 10% heparin microislands had more endothelial cell migration compared to 1% and 100%. Due to the low number of heparin microisland ratios tested, we hypothesize the spacing between microgels can be further optimized. Rather than use purely empirical methods, which are both expensive and time intensive, we believe this challenge represents an opportunity to use computational modeling. Here we present the first agent-based model of a MAP scaffold to optimize the ratio of heparin microislands. Specifically, we develop a two-dimensional model in Hybrid Automata Library (HAL) of endothelial cell migration within the unique MAP scaffold geometry. Finally, we present how our model can accurately predict cell migration trends in vitro, and these studies provide insight on how computational modeling can be used to design particle-based biomaterials. STATEMENT OF SIGNIFICANCE: While the combination of experimental and computational approaches is increasingly being used to gain a better understanding of cellular processes, their combination in biomaterials development has been relatively limited. Heparin microislands are spatially isolated heparin microgels; when located within a microporous annealed particle (MAP) scaffold, they can sequester and release growth factors. Importantly, we present the first agent-based model of MAP scaffolds to optimize the ratio of heparin microislands within the scaffold to promote endothelial cell migration. We demonstrate this model can accurately predict trends in vitro, thus opening a new avenue of research to aid in the design of MAP scaffolds.

Indexed as

HydrogelsMicrogelsBiocompatible MaterialsCell MovementEndothelial CellsHeparinTissue ScaffoldsBiocompatible MaterialsHeparinHydrogelsMicrogelsAgent-based modelingAngiogenesisHeparin microislandsPorous hydrogels

Identifiers

PMID35660016
PMCPMC10297728

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Registered trials

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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.