Evidence map›Paper›PMID 32648683›Full record

ArticleAdvanced biosystems2019

Decorating 3D Printed Scaffolds with Electrospun Nanofiber Segments for Tissue Engineering.

Ruiquan Li, Alec McCarthy, Yu Shrike Zhang, Jingwei Xie

Open access · greenAbstract read
In one paragraph

Article in Advanced biosystems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
  3. Augmented 3D Printing for Multiscale Microphysiological Systems.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

4 authors at 2 institutions in 1 country.

Ruiquan LiDepartment of Surgery-Transplant and Holland Regenerative Medicine Program, University of Nebraska Medical Center, Omaha, NE, 68130, USA.
Alec McCarthyDepartment of Surgery-Transplant and Holland Regenerative Medicine Program, University of Nebraska Medical Center, Omaha, NE, 68130, USA.
Yu Shrike ZhangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Jingwei XieDepartment of Surgery-Transplant and Holland Regenerative Medicine Program, University of Nebraska Medical Center, Omaha, NE, 68130, USA.ORCID 0000-0002-8126-1397
Nebraska Medical Center · USBrigham and Women's Hospital · US

Funding

Project 9 - Renal Drug Targeting for the Treatment of Lupus NephritisP20GM103480 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BRONICH, TATIANA K · 2012 to 2017
$13.3M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
Recapitulating Ductal Carcinoma on a Chip for Personalized Breast Cancer TherapyR00CA201603 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2019 to 2021
$747k
Multiscale Stereolithogrphic Bioprinting of Stage-Matching Vascularized Tumor ModelsR21EB025270 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2018 to 2020
$726k
Developing Hybrids of Cardiac Tissue and Biodegradable Electronics Towards Heart Implants with On-line Monitoring and Stimulating FunctionsR21EB026175 · NIBIB · UNIVERSITY OF HOUSTON · PI YU, CUNJIANG · 2018 to 2019
$468k
Small Molecules Bound 3D Hybrid Nanofiber Aerogels for Healing Large Cranial Bone DefectsR21DE027516 · NIDCR · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI XIE, JINGWEI · 2018 to 2019
$419k
NCI NIH HHS R00 CA201603NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R21 EB025270NIBIB NIH HHS R21 EB026175NIDCR NIH HHS 1R21 DE027516NIDCR NIH HHS R21 DE027516NIGMS NIH HHS 2P20 GM103480NIGMS NIH HHS P20 GM103480
6 · The paper itself

Abstract

Repairing large tissue defects often represents a great challenge in clinics due to issues regarding lack of donors, mismatched sizes, irregular shapes, and immune rejection. 3D printed scaffolds are attractive for growing cells and producing tissue constructs because of the intricate control over pore size, porosity, and geometric shape, but the lack of biomimetic surface nanotopography and limited biomolecule presenting capacity render them less efficacious in regulating cell responses. Herein, a facile method for coating 3D printed scaffolds with electrospun nanofiber segments is reported. The surface morphology of modified 3D scaffolds changes dramatically, displaying a biomimetic nanofibrous structure, while the bulk mechanical property, pore size, and porosity are not significantly compromised. The short nanofibers-decorated 3D printed scaffolds significantly promote adhesion and proliferation of pre-osteoblasts and bone marrow mesenchymal stem cells (BMSCs). Further immobilization of bone morphogenetic protein-2 mimicking peptides to nanofiber segments-decorated 3D printed scaffolds show enhanced mRNA expressions of osteogenic markers Runx2, Alp, OCN, and BSP in BMSCs, indicating the enhancement of BMSCs osteogenic differentiation. Together, the combination of 3D printing and electrospinning is a promising approach to greatly expand the functions of 3D printed scaffolds and enhance the efficacy of 3D printed scaffolds for tissue engineering.

Indexed as

Printing, Three-DimensionalAnimalsCell LineElectrochemical TechniquesMesenchymal Stem CellsMiceNanofibersOsteoblastsOsteogenesisTissue EngineeringTissue Scaffolds3D printed scaffoldscellular responseselectrospinningnanofiber segmentssurface coating

Identifiers

PMID32648683
PMCPMC7735424
OpenAlexW2989176505

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.