Evidence map›Paper›PMID 39916923›Full record

ArticleFrontiers in dental medicine2023

An engineered biomaterial to harness the differentiation potential of endogenous human gingival mesenchymal stem cells (hGMSCs).

Mohammad Mahdi Hasani-Sadrabadi, Weihao Yuan, Sevda Sevari, Bo Yu, Sahar Ansari, Alireza Moshaverinia

Abstract read
In one paragraph

Article in Frontiers in dental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mohammad Mahdi Hasani-SadrabadiDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Weihao YuanWeintraub Center for Reconstructive Biotechnology, Section of Prosthodontics, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States.
Sevda SevariWeintraub Center for Reconstructive Biotechnology, Section of Prosthodontics, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States.
Bo YuSection of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States.
Sahar AnsariWeintraub Center for Reconstructive Biotechnology, Section of Prosthodontics, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States.
Alireza MoshaveriniaDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

The role of elasticity of biomaterials on the stem cell-host immune cell interplayR03DE029876 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MOSHAVERINIA, ALIREZA · 2020 to 2021
$312k
NIDCR NIH HHS R03 DE029876
6 · The paper itself

Abstract

Here, we developed a stromal cell-derived factor-1a (SDF-1α) delivery biomaterial as an artificial polymeric-based niche with the ability to recruit local endogenous human gingival mesenchymal stem cells (hGMSCs) for craniofacial bone regeneration applications. Polydopamine-coated poly(ε-caprolactone) (PCL)-gelatin electrospun membranes were loaded with stromal cell-derived factor-1α (SDF-1α) via physical adsorption. Subsequently, the release profile of SDF-1α and the chemotactic capacity on human bone marrow mesenchymal stem cells (hBMMSCs) and hGMSCs were evaluated. The osteogenic differentiation capacity of the recruited MSCs was also assessed

Indexed as

artificial stem cell nichesautotherapyhuman gingival mesenchymal stem cells (hGMSCs)polydopamine (PDA)poly(ε-caprolactone)SDF-1α

Identifiers

PMID39916923
PMCPMC11797836

What OpenQuestion holds

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LicenceCC BY
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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.