Evidence map›Paper›PMID 32773913›Full record

ArticleMaterials letters2020

Spatial alignment of 3D printed scaffolds modulates genotypic expression in pre-osteoblasts.

Naveen Nagiah, Maumita Bhattacharjee, Christopher J Murdock, Ho-Man Kan, Mohammed Barajaa, Cato T Laurencin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. 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.

Naveen NagiahConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT, USA.
Maumita BhattacharjeeConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT, USA.
Christopher J MurdockConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT, USA.
Ho-Man KanConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT, USA.
Mohammed BarajaaConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT, USA.
Cato T LaurencinConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT, USA.
UConn Health · US

Funding

Regenerative Engineering of Complex Musculoskeletal Tissues and JointsDP1AR068147 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LAURENCIN, CATO T. · 2014 to 2018
$4.1M
NIAMS NIH HHS DP1 AR068147
6 · The paper itself

Abstract

3D printing, an advent from rapid prototyping technology is emerging as a suitable solution for various regenerative engineering applications. In this study, blended gelatin-sodium alginate 3D printed scaffolds with different pore geometries were developed by altering the spatiotemporal alignment of even layered struts in the scaffolds. A significant difference in compression modulus and osteogenic expression due to the difference in spatiotemporal printing was demonstrated. Pore geometry was found to be more dominant than the compressive modulus of the scaffold in regulating osteogenic gene expression. A shift in pore geometry by at least 45° was critical for significant increase in osteogenic gene expression in MC3T3-E1 cells.

Indexed as

3D printinggelatingene expressionpore geometrysodium alginate

Identifiers

PMID32773913
PMCPMC7409969
OpenAlexW3037865904

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.