Evidence map›Paper›PMID 32335738›Full record

ArticleMarine biotechnology (New York, N.Y.)2020

Evaluation of the In Vivo Biological Effects of Marine Collagen and Hydroxyapatite Composite in a Tibial Bone Defect Model in Rats.

Julia Risso Parisi, Kelly Rossetti Fernandes, Matheus de Almeida Cruz, Ingrid Regina Avanzi, Alan de França Santana, Giovanna Caroline Aparecida do Vale, Ana Laura Martins de Andrade, Cíntia Pereira de Góes, Carlos Alberto Fortulan, Eliandra de Sousa Trichês and 2 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Strategies for Bone Regeneration: From Graft to Tissue Engineering.International journal of molecular sciences · 2021
    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

12 authors at 2 institutions in 1 country.

Julia Risso ParisiDepartment of Physiotherapy, Federal University of São Carlos (UFSCar), Washington Luís, km 235, Sao Carlos, SP, Brazil. juliaparisi@outlook.com.
Kelly Rossetti FernandesDepartment of Physiotherapy, Federal University of São Carlos (UFSCar), Washington Luís, km 235, Sao Carlos, SP, Brazil.
Matheus de Almeida CruzDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Ingrid Regina AvanziDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Alan de França SantanaDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Giovanna Caroline Aparecida do ValeDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Ana Laura Martins de AndradeDepartment of Physiotherapy, Federal University of São Carlos (UFSCar), Washington Luís, km 235, Sao Carlos, SP, Brazil.
Cíntia Pereira de GóesDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Carlos Alberto FortulanDepartment of Mechanical Engineering, São Carlos School of Engineering, Sao Carlos, SP, Brazil.
Eliandra de Sousa TrichêsDepartment of Mechanical Engineering, Federal University of São Paulo (UNIFESP), Sao Jose dos Campos, SP, Brazil.
Renata Neves GranitoDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Ana Claudia Muniz RennóDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
Universidade Federal de São Paulo · BRUniversidade Federal de São Carlos · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -
6 · The paper itself

Abstract

One of the most promising strategies to improve the biological performance of bone grafts is the combination of different biomaterials. In this context, the aim of this study was to evaluate the effects of the incorporation of marine spongin (SPG) into Hydroxyapatite (HA) for bone tissue engineering proposals. The hypothesis of the current study is that SPG into HA would improve the biocompatibility of material and would have a positive stimulus into bone formation. Thus, HA and HA/SPG materials were produced and scanning electron microscopy (SEM) analysis was performed to characterize the samples. Also, in order to evaluate the in vivo tissue response, samples were implanted into a tibial bone defect in rats. Histopathological, immunohistochemistry, and biomechanical analyses were performed after 2 and 6 weeks of implantation to investigate the effects of the material on bone repair. The histological analysis demonstrated that composite presented an accelerated material degradation and enhanced newly bone formation. Additionally, histomorphometry analysis showed higher values of %BV/TV and N.Ob/T.Ar for HA/SPG. Runx-2 immunolabeling was higher for the composite group and no difference was found for VEGF. Moreover, the biomechanical analysis demonstrated similar values for all groups. These results indicated the potential of SPG to be used as an additive to HA to improve the biological performance for bone regeneration applications. However, further long-term studies should be carried out to provide additional information regarding the material degradation and bone regeneration.

Indexed as

AnimalsBiocompatible MaterialsBone and BonesCollagenDurapatiteMalePoriferaRats, WistarTibiaTissue ScaffoldsWound HealingBiocompatible MaterialsCollagenDurapatiteCollagenMarine biotechnologyMarine spongesSpongin

Identifiers

PMID32335738
OpenAlexW3019363246

What OpenQuestion holds

Textmetadata
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.