Evidence map›Paper›PMID 33375451›Full record

ArticlePolymers2020

Biomimetic Mineralization on 3D Printed PLA Scaffolds: On the Response of Human Primary Osteoblasts Spheroids and In Vivo Implantation.

Marianna O C Maia-Pinto, Ana Carolina B Brochado, Bruna Nunes Teixeira, Suelen C Sartoretto, Marcelo J Uzeda, Adriana T N N Alves, Gutemberg G Alves, Mônica D Calasans-Maia, Rossana M S M Thiré

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  17. Advances in 3D Printing for Tissue Engineering.Materials (Basel, Switzerland) · 2021
    Review
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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

9 authors at 3 institutions in 1 country.

Marianna O C Maia-PintoCOPPE/Program of Metallurgical and Materials Engineering, Universidade Federal do Rio de Janeiro-UFRJ, Rio de Janeiro, RJ 21941-599, Brazil.ORCID 0000-0003-1509-5914
Ana Carolina B BrochadoPost-Graduation Program in Science & Biotechnology, Universidade Federal Fluminense, Rua Mario Santos Braga, 28/4° Andar, Niterói, RJ 24220-140, Brazil.
Bruna Nunes TeixeiraCOPPE/Program of Metallurgical and Materials Engineering, Universidade Federal do Rio de Janeiro-UFRJ, Rio de Janeiro, RJ 21941-599, Brazil.ORCID 0000-0003-0224-6162
Suelen C SartorettoOral Surgery Department, Dentistry School, Universidade Iguaçu, Avenida Abílio Augusto Távora, 2134, Nova Iguaçu, RJ 26260-045, Brazil.ORCID 0000-0002-8414-3775
Marcelo J UzedaOral Surgery Department, Dentistry School, Universidade Federal Fluminense, Rua Mario Santos Braga, 28/4° Andar, Niterói, RJ 24020-140, Brazil.
Adriana T N N AlvesDepartment of Oral Diagnosis, Dentistry School, Universidade Federal Fluminense, Rua Mario Santos Braga, 28/4° Andar, Niterói, RJ 24020-140, Brazil.
Gutemberg G AlvesPost-Graduation Program in Science & Biotechnology, Universidade Federal Fluminense, Rua Mario Santos Braga, 28/4° Andar, Niterói, RJ 24220-140, Brazil.
Mônica D Calasans-MaiaClinical Research Laboratory in Dentistry, Universidade Federal Fluminense, Rua Mario Santos Braga, 28/4° Andar, Niterói, RJ 24020-140, Brazil.ORCID 0000-0001-5759-7926
Rossana M S M ThiréCOPPE/Program of Metallurgical and Materials Engineering, Universidade Federal do Rio de Janeiro-UFRJ, Rio de Janeiro, RJ 21941-599, Brazil.ORCID 0000-0003-0026-5431
Universidade Federal Fluminense · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Iguaçu · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 312851/2017-0Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/203.077/2016Instituto Nacional de Ciência e Tecnologia em Medicina Regenerativa xx
6 · The paper itself

Abstract

This study aimed to assess the response of 3D printed polylactic acid (PLA) scaffolds biomimetically coated with apatite on human primary osteoblast (HOb) spheroids and evaluate the biological response to its association with Bone Morphogenetic Protein 2 (rhBMP-2) in rat calvaria. PLA scaffolds were produced via 3D printing, soaked in simulated body fluid (SBF) solution to promote apatite deposition, and characterized by physical-chemical, morphological, and mechanical properties. PLA-CaP scaffolds with interconnected porous and mechanical properties suitable for bone repairing were produced with reproducibility. The in vitro biological response was assessed with human primary osteoblast spheroids. Increased cell adhesion and the rise of in vitro release of growth factors (Platelet-Derived Growth Factor (PDGF), Basic Fibroblast Growth Factor (bFGF), Vascular Endothelial Growth Factor (VEGF) was observed for PLA-CaP scaffolds, when pre-treated with fetal bovine serum (FBS). This pre-treatment with FBS was done in a way to enhance the adsorption of serum proteins, increasing the number of bioactive sites on the surface of scaffolds, and to partially mimic in vivo interactions. The in vivo analysis was conducted through the implantation of 3D printed PLA scaffolds either alone, coated with apatite (PLA-CaP) or PLA-CaP loaded with rhBMP-2 on critical-sized defects (8 mm) of rat calvaria. PLA-CaP+rhBMP2 presented higher values of newly formed bone (NFB) than other groups at all in vivo experimental periods (

Indexed as

3D printed scaffold3D printingbiomimeticbiomimetic apatitebone morphogenetic protein 2bone repairpoly (lactic acid)spheroids

Identifiers

PMID33375451
PMCPMC7795773
OpenAlexW3117990035

What OpenQuestion holds

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LicenceCC BY
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.