Evidence map›Paper›PMID 38684108›Full record

ArticleAdvanced healthcare materials2024

Phototuning of Hyaluronic-Acid-Based Hydrogel Properties to Control Network Formation in Human Vascular Endothelial Cells.

Kelum Chamara Manoj Lakmal Elvitigala, Lakshmi Mohan, Wildan Mubarok, Shinji Sakai

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. 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

4 authors.

Kelum Chamara Manoj Lakmal ElvitigalaDepartment of Materials Engineering Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan.ORCID 0000-0002-9649-0635
Lakshmi MohanDepartment of Bioengineering, Henry Samueli School of Engineering, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Wildan MubarokDepartment of Materials Engineering Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan.ORCID 0000-0003-2545-1206
Shinji SakaiDepartment of Materials Engineering Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan.ORCID 0000-0002-1041-4798

Funding

Grant-in-Aid for JSPS Fellows 22F22373Japan Society for the Promotion of Science (JSPS) Fostering Joint International Research (B) 20KK0112Toyota Physical and Chemical Research Institute
6 · The paper itself

Abstract

In vitro network formation by endothelial cells serves as a fundamental model for studies aimed at understanding angiogenesis. The morphogenesis of these cells to form a network is intricately regulated by the mechanical and biochemical properties of the extracellular matrix. Here the effects of modulating these properties in hydrogels derived from phenolated hyaluronic acid (HA-Ph) and phenolated gelatin (Gelatin-Ph) are presented. Visible-light irradiation in the presence of tris(2,2'-bipyridyl)ruthenium(II) chloride hexahydrate and sodium persulfate induces the crosslinking of these polymers, thereby forming a hydrogel and degrading HA-Ph. Human vascular endothelial cells form networks on the hydrogel prepared by visible-light irradiation for 45 min (42 W cm

Indexed as

Hyaluronic AcidHydrogelsActinsEndothelial CellsGelatinHumansHuman Umbilical Vein Endothelial CellsHyaluronan ReceptorsLightNeovascularization, PhysiologicrhoA GTP-Binding ProteinActinsGelatinHyaluronan ReceptorsHyaluronic AcidHydrogelsrhoA GTP-Binding Proteincomposite hydrogeldegradationHUVEChyaluronic acidphoto‐crosslinking

Identifiers

PMID38684108
PMCPMC11468695

What OpenQuestion holds

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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.