Evidence map›Paper›PMID 36547566›Full record

ArticleJournal of functional biomaterials2022

Nanohydroxyapatite/Titanate Nanotube Composites for Bone Tissue Regeneration.

Suziete B S Gusmão, Anupama Ghosh, Alan S de Menezes, Antônio F M Pereira, Miriam T P Lopes, Madaline K Souza, Dalton Dittz, Guilherme J P Abreu, Lucielma S S Pinto, Antônio L M Maia Filho and 4 more

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 2022. 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

14 authors.

Suziete B S GusmãoInterdisciplinary Laboratory for Advanced Materials(LIMAV), Materials Science and Engineering Graduate Program, Federal University of Piaui, Teresina 64049-550, PI, Brazil.
Anupama GhoshCentral Analítica, Federal University of Ceara, Fortaleza 60020-181, CE, Brazil.
Alan S de MenezesDepartamento de Física, CCET, Federal University of Maranhao, São Luís 65080-805, MA, Brazil.ORCID 0000-0002-8817-0156
Antônio F M PereiraDepartamento de Enfermagem, Federal University of Piaui, Teresina 64049-550, PI, Brazil.
Miriam T P LopesDepartamento de Farmacologia, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Madaline K SouzaDepartamento de Farmacologia, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Dalton DittzDepartamento de Bioquímica e Farmacologia, Federal University of Piaui, Teresina 64049-550, PI, Brazil.
Guilherme J P AbreuDepartamento de Física, Universidade Federal do Paraná, Curitiba 80060-000, PR, Brazil.
Lucielma S S PintoCentro de Ciências da Saúde, State University of Piaui, Teresina 64049-550, PI, Brazil.
Antônio L M Maia FilhoNúcleo de Pesquisa em Biotecnologia e Biodiversidade, State University of Piaui, Teresina 64002-150, PI, Brazil.
Gustavo O M GusmãoDepartmento de Física, State University of Piaui, Teresina 64049-550, PI, Brazil.
Thomas J WebsterInterdisciplinary Laboratory for Advanced Materials(LIMAV), Materials Science and Engineering Graduate Program, Federal University of Piaui, Teresina 64049-550, PI, Brazil.ORCID 0000-0002-2028-5969
Anderson O LoboInterdisciplinary Laboratory for Advanced Materials(LIMAV), Materials Science and Engineering Graduate Program, Federal University of Piaui, Teresina 64049-550, PI, Brazil.ORCID 0000-0002-2544-0438
Bartolomeu C VianaInterdisciplinary Laboratory for Advanced Materials(LIMAV), Materials Science and Engineering Graduate Program, Federal University of Piaui, Teresina 64049-550, PI, Brazil.ORCID 0000-0002-5207-4269

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 183995National Council for Scientific and Technological Development 307901/2019-0National Council for Scientific and Technological Development 400998/2022-0National Council for Scientific and Technological Development 427084/2018-0
6 · The paper itself

Abstract

Strategies for the production of new nanocomposites that promote bone tissue regeneration are important, particularly those that enhance the osteoinduction of hydroxyapatite in situ. Here, we studied and report the synthesis of nanohydroxyapatite and titanate nanotube (nHAp/TiNT) composites formulated at different concentrations (1, 2, 3, and 10 wt % TiNT) by means of a wet aqueous chemical reaction. The addition of TiNT affects the morphology of the nanocomposites, decreasing the average crystallite size from 54 nm (nHAp) to 34 nm (nHAp/TiNT10%), while confirming its interaction with the nanocomposite. The crystallinity index (CI) calculated by Raman spectroscopy and XRD showed that the values decreased according to the increase in TiNT concentration, which confirmed their addition to the structure of the nanocomposite. SEM images showed the presence of TiNTs in the nanocomposite. We further verified the potential cytotoxicity of murine fibroblast cell line L929, revealing that there was no remarkable cell death at any of the concentrations tested. In vivo regenerative activity was performed using oophorectomized animal (rat) models organized into seven groups containing five animals each over two experimental periods (15 and 30 days), with bone regeneration occurring in all groups tested within 30 days; however, the nHAp/TiNT10% group showed statistically greater tissue repair, compared to the untreated control group. Thus, the results of this study demonstrate that the presently formulated nHAp/TiNT nanocomposites are promising for numerous improved bone tissue regeneration applications.

Indexed as

bone repairhydroxyapatitenanocompositetitanate nanotube

Identifiers

PMID36547566
PMCPMC9786793

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.