Evidence map›Paper›PMID 28975716›Full record

ReviewAdvanced healthcare materials2018

Programmable Hydrogels for Cell Encapsulation and Neo-Tissue Growth to Enable Personalized Tissue Engineering.

Stephanie J Bryant, Franck J Vernerey

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. New Insights in Hydrogels for Periodontal Regeneration.Journal of functional biomaterials · 2023
    Review
  6. Protein Based Biomaterials for Therapeutic and Diagnostic Applications.Progress in biomedical engineering (Bristol, England) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

2 authors.

Stephanie J BryantDepartment of Chemical and Biological Engineering, University of Colorado, 3415 Colorado Ave, Boulder, CO, 80309-0596, USA.ORCID 0000-0003-1907-5216
Franck J VernereyDepartment of Mechanical Engineering, University of Colorado, 1111 Engineering Dr., Boulder, CO, 80309-0428, USA.ORCID 0000-0001-6138-1431

Funding

Personalizing Matrix Assisted Autologous Chondrocyte ImplantationR01AR065441 · NIAMS · UNIVERSITY OF COLORADO · PI BRYANT, STEPHANIE J · 2013 to 2017
$1.5M
NIAMS NIH HHS R01 AR065441
6 · The paper itself

Abstract

Biomimetic and biodegradable synthetic hydrogels are emerging as a promising platform for cell encapsulation and tissue engineering. Notably, synthetic-based hydrogels offer highly programmable macroscopic properties (e.g., mechanical, swelling and transport properties) and degradation profiles through control over several tunable parameters (e.g., the initial network structure, degradation kinetics and behavior, and polymer properties). One component to success is the ability to maintain structural integrity as the hydrogel transitions to neo-tissue. This seamless transition is complicated by the fact that cellular activity is highly variable among donors. Thus, computational models provide an important tool in tissue engineering due to their unique ability to explore the coupled processes of hydrogel degradation and neo-tissue growth across multiple length scales. In addition, such models provide new opportunities to develop predictive computational tools to overcome the challenges with designing hydrogels for different donors. In this report, programmable properties of synthetic-based hydrogels and their relation to the hydrogel's structural properties and their evolution with degradation are reviewed. This is followed by recent progress on the development of computational models that describe hydrogel degradation with neo-tissue growth when cells are encapsulated in a hydrogel. Finally, the potential for predictive models to enable patient-specific hydrogel designs for personalized tissue engineering is discussed.

Indexed as

Extracellular MatrixHydrogelsPrecision MedicineTissue EngineeringHydrogelscomputational modelsdegradationECM synthesishydrogelspersonalized medicine

Identifiers

PMID28975716
PMCPMC5826758

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.