Evidence map›Paper›PMID 28805830›Full record

ArticleBiomaterials science2017

In vitro and in vivo analysis of visible light crosslinkable gelatin methacryloyl (GelMA) hydrogels.

Iman Noshadi, Seonki Hong, Kelly E Sullivan, Ehsan Shirzaei Sani, Roberto Portillo-Lara, Ali Tamayol, Su Ryon Shin, Albert E Gao, Whitney L Stoppel, Lauren D Black and 2 more

Abstract read
In one paragraph

Article in Biomaterials science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

113 citing papers in PubMed, 297 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. A tissue bandage for pelvic ganglia injury.Nature communications · 2024
    Article

53 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 4 countries.

Iman NoshadiBiomaterials Innovation Research Center, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA. n.annabi@neu.edu alik@bwh.harvard.edu.
Seonki Hong
Kelly E Sullivan
Ehsan Shirzaei Sani
Roberto Portillo-Lara
Ali Tamayol
Su Ryon Shin
Albert E Gao
Whitney L Stoppel
Lauren D Black
Ali Khademhosseini
Nasim Annabi
Brigham and Women's Hospital · USTufts University · USNortheastern University · US

Funding

Microengineered Osteons for Bone Tissue EngineeringR01AR057837 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YANG, YUNZHI · 2010 to 2018
$5.1M
Engineering a naturally derived and highly adhesive surgical sealantR01EB023052 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNABI, NASIM, KHADEMHOSSEINI, ALI · 2017 to 2022
$2.4M
High-Throughput Microenvironment Regulation for ChondrogenesisR01AR066193 · NIAMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ALSBERG, EBEN, KHADEMHOSSEINI, ALI · 2015 to 2020
$2.1M
Engineering Vascularized Bone Tissues By Microfabrication And ScaffoldingR01DE021468 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YANG, YUNZHI · 2011 to 2014
$1.8M
Catheter guided endovascular electric field ablation for thrombosis therapy.R21EB021148 · NIBIB · MAYO CLINIC ARIZONA · PI KHADEMHOSSEINI, ALI, OKLU, RAHMI · 2016 to 2017
$485k
Smart wound dressing for treating chronic diabetic ulcersR21EB022403 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KHADEMHOSSEINI, ALI · 2016 to 2017
$484k
Angiogenic Biomaterials as Dermal Scaffolds to Enhance Diabetic Wound HealingR21AR068258 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KHADEMHOSSEINI, ALI · 2015 to 2016
$412k
NIAMS NIH HHS R01 AR057837NIAMS NIH HHS R01 AR066193NIAMS NIH HHS R21 AR068258NIBIB NIH HHS R01 EB023052NIBIB NIH HHS R21 EB021148NIBIB NIH HHS R21 EB022403NIDCR NIH HHS R01 DE021468
6 · The paper itself

Abstract

Photocrosslinkable materials have been frequently used for constructing soft and biomimetic hydrogels for tissue engineering. Although ultraviolet (UV) light is commonly used for photocrosslinking such materials, its use has been associated with several biosafety concerns such as DNA damage, accelerated aging of tissues, and cancer. Here we report an injectable visible light crosslinked gelatin-based hydrogel for myocardium regeneration. Mechanical characterization revealed that the compressive moduli of the engineered hydrogels could be tuned in the range of 5-56 kPa by changing the concentrations of the initiator, co-initiator and co-monomer in the precursor formulation. In addition, the average pore sizes (26-103 μm) and swelling ratios (7-13%) were also shown to be tunable by varying the hydrogel formulation. In vitro studies showed that visible light crosslinked GelMA hydrogels supported the growth and function of primary cardiomyocytes (CMs). In addition, the engineered materials were shown to be biocompatible in vivo, and could be successfully delivered to the heart after myocardial infarction in an animal model to promote tissue healing. The developed visible light crosslinked hydrogel could be used for the repair of various soft tissues such as the myocardium and for the treatment of cardiovascular diseases with enhanced therapeutic functionality.

Indexed as

LightPhotochemical ProcessesAnimalsBiocompatible MaterialsCaprolactamCell ProliferationGelatinHydrogelsMaleMaterials TestingMechanical PhenomenaMiceMyocytes, CardiacNIH 3T3 CellsPolymerizationRatsBiocompatible MaterialsCaprolactamGelatinHydrogels

Identifiers

PMID28805830
PMCPMC5614854
OpenAlexW2729949698

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.