Evidence map›Paper›PMID 38145962›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Diffusion-Based 3D Bioprinting Strategies.

Betty Cai, David Kilian, Daniel Ramos Mejia, Ricardo J Rios, Ashal Ali, Sarah C Heilshorn

Open access · goldAbstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Diffusion-Based 3D Bioprinting Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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

6 authors at 1 institution in 1 country.

Betty CaiDepartment of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA.ORCID 0000-0002-2160-4167
David KilianDepartment of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA.ORCID 0000-0003-3151-3637
Daniel Ramos MejiaDepartment of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA.
Ricardo J RiosDepartment of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA.
Ashal AliDepartment of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA.
Sarah C HeilshornDepartment of Materials Science and Engineering, Stanford University, 476 Lomita Mall, Stanford, CA, 94305, USA.ORCID 0000-0002-9801-6304
Stanford University · US

Funding

Injectable Hydrogels to Deliver Gene Therapy for Myocardial InfarctR01HL151997 · NHLBI · STANFORD UNIVERSITY · PI HEILSHORN, SARAH C · 2020 to 2023
$1.7M
Engineered matrix microarrays to enhance the regenerative potential of iPSC-derived endothelial cellsR01HL142718 · NHLBI · STANFORD UNIVERSITY · PI HEILSHORN, SARAH C, HUANG, NGAN F. · 2018 to 2021
$1.6M
Injectable Hydrogels to Protect Transplanted Cells from HypoxiaR01EB027666 · NIBIB · STANFORD UNIVERSITY · PI HEILSHORN, SARAH C, PLANT, GILES · 2019 to 2022
$1.4M
Engineered biomaterials to modulate cell-cell signaling for the robust expansion of stem cellsR01EB027171 · NIBIB · STANFORD UNIVERSITY · PI HEILSHORN, SARAH C · 2019 to 2022
$1.4M
NHLBI NIH HHS R01 HL142718NHLBI NIH HHS R01 HL151997NIBIB NIH HHS R01 EB027171NIBIB NIH HHS R01 EB027666NIH HHS R01 EB027171NIH HHS R01 EB027666NIH HHS R01 HL142718NIH HHS R01 HL151997
6 · The paper itself

Abstract

3D bioprinting has enabled the fabrication of tissue-mimetic constructs with freeform designs that include living cells. In the development of new bioprinting techniques, the controlled use of diffusion has become an emerging strategy to tailor the properties and geometry of printed constructs. Specifically, the diffusion of molecules with specialized functions, including crosslinkers, catalysts, growth factors, or viscosity-modulating agents, across the interface of printed constructs will directly affect material properties such as microstructure, stiffness, and biochemistry, all of which can impact cell phenotype. For example, diffusion-induced gelation is employed to generate constructs with multiple materials, dynamic mechanical properties, and perfusable geometries. In general, these diffusion-based bioprinting strategies can be categorized into those based on inward diffusion (i.e., into the printed ink from the surrounding air, solution, or support bath), outward diffusion (i.e., from the printed ink into the surroundings), or diffusion within the printed construct (i.e., from one zone to another). This review provides an overview of recent advances in diffusion-based bioprinting strategies, discusses emerging methods to characterize and predict diffusion in bioprinting, and highlights promising next steps in applying diffusion-based strategies to overcome current limitations in biofabrication.

Indexed as

BioprintingTissue EngineeringPrinting, Three-DimensionalTissue Scaffoldsbioprintingdiffusioninterfacial gelationmulti-material constructsperfusable structures

Identifiers

PMID38145962
PMCPMC10885663
OpenAlexW4390205491

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.