Evidence map›Paper›PMID 29651999›Full record

ArticleBiofabrication2018

Photolithographic-stereolithographic-tandem fabrication of 4D smart scaffolds for improved stem cell cardiomyogenic differentiation.

Shida Miao, Haitao Cui, Margaret Nowicki, Se-Jun Lee, José Almeida, Xuan Zhou, Wei Zhu, Xiaoliang Yao, Fahed Masood, Michael W Plesniak and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biofabrication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  4. 3D Bioprinting Functional Engineered Heart Tissues.International journal of molecular sciences · 2025
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  5. Augmented 3D Printing for Multiscale Microphysiological Systems.Small (Weinheim an der Bergstrasse, Germany) · 2025
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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.

Shida MiaoDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.ORCID 0000-0002-5864-2626
Haitao CuiDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
Margaret NowickiDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
Se-Jun LeeDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
José AlmeidaDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
Xuan ZhouDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
Wei ZhuDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.ORCID 0000-0003-1809-3578
Xiaoliang YaoDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
Fahed MasoodDepartment of Mechanical Engineering, University of Maryland, College Park, MD 20742, United States of America.
Michael W PlesniakDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.
Muhammad MohiuddinProgram in Cardiac Xenotransplantation, Department of Surgery, University of Maryland, Baltimore, MD 21201, United States of America.
Lijie Grace ZhangDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington DC 20052, United States of America.ORCID 0000-0002-3906-9692

Funding

A Novel 3D Bioprinted Smart Vascularized Nano TissueDP2EB020549 · NIBIB · GEORGE WASHINGTON UNIVERSITY · PI ZHANG, LIJIE GRACE · 2014 to 2014
$2.3M
NIBIB NIH HHS DP2 EB020549
6 · The paper itself

Abstract

4D printing is a highly innovative additive manufacturing process for fabricating smart structures with the ability to transform over time. Significantly different from regular 4D printing techniques, this study focuses on creating novel 4D hierarchical micropatterns using a unique photolithographic-stereolithographic-tandem strategy (PSTS) with smart soybean oil epoxidized acrylate (SOEA) inks for effectively regulating human bone marrow mesenchymal stem cell (hMSC) cardiomyogenic behaviors. The 4D effect refers to autonomous conversion of the surficial-patterned scaffold into a predesigned construct through an external stimulus delivered immediately after printing. Our results show that hMSCs actively grew and were highly aligned along the micropatterns, forming an uninterrupted cellular sheet. The generation of complex patterns was evident by triangular and circular outlines appearing in the scaffolds. This simple, yet efficient, technique was validated by rapid printing of scaffolds with well-defined and consistent micro-surface features. A 4D dynamic shape change transforming a 2-D design into flower-like structures was observed. The printed scaffolds possessed a shape memory effect beyond the 4D features. The advanced 4D dynamic feature may provide seamless integration with damaged tissues or organs, and a proof of concept 4D patch for cardiac regeneration was demonstrated for the first time. The 4D-fabricated cardiac patch showed significant cardiomyogenesis confirmed by immunofluorescence staining and qRT-PCR analysis, indicating its promising potential in future tissue and organ regeneration applications.

Indexed as

Printing, Three-DimensionalCell DifferentiationCells, CulturedHumansMesenchymal Stem CellsMyocytes, CardiacTissue EngineeringTissue Scaffolds

Identifiers

PMID29651999
PMCPMC5978741

What OpenQuestion holds

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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.