Evidence map›Paper›PMID 32764934›Full record

ArticleInternational journal of nanomedicine2020

One-Step Preparation of an AgNP-nHA@RGO Three-Dimensional Porous Scaffold and Its Application in Infected Bone Defect Treatment.

Weizong Weng, Xiaoqun Li, Wei Nie, Haoyuan Liu, Shanshan Liu, Jianming Huang, Qirong Zhou, Jia He, Jiacan Su, Zhifeng Dong and 1 more

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

11 authors.

Weizong Weng *Department of Orthopeadics, Changhai Hospital affiliated to the Second Military Medical University, Shanghai 200433, People's Republic of China.ORCID 0000-0003-3918-2334
Xiaoqun Li *Department of Orthopeadics, Changhai Hospital affiliated to the Second Military Medical University, Shanghai 200433, People's Republic of China.
Wei NieCollege of Chemistry, Chemical Engineering and Biotechnology, State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University, Shanghai 201620, People's Republic of China.
Haoyuan LiuOrthopaedics Department, Chenggong Hospital Affilaited to Xiamen University, Xiamen 361000, People's Republic of China.
Shanshan LiuOrthopaedics Department, Chenggong Hospital Affilaited to Xiamen University, Xiamen 361000, People's Republic of China.
Jianming HuangOrthopaedics Department, Chenggong Hospital Affilaited to Xiamen University, Xiamen 361000, People's Republic of China.
Qirong ZhouDepartment of Orthopeadics, Changhai Hospital affiliated to the Second Military Medical University, Shanghai 200433, People's Republic of China.
Jia HeDepartment of Orthopeadics, Changhai Hospital affiliated to the Second Military Medical University, Shanghai 200433, People's Republic of China.
Jiacan SuDepartment of Orthopeadics, Changhai Hospital affiliated to the Second Military Medical University, Shanghai 200433, People's Republic of China.
Zhifeng DongDepartment of Cardiology, Shanghai Sixth Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai 200233, People's Republic of China.
Dongliang WangOrthopeadics Department, Xinhua Hospital Affiliated to the Shanghai Jiaotong University, Shanghai 200433, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBactericidal capacity, durable inhibition of biofilm formation, and a three-dimensional (3D) porous structure are the emphases of infected bone defect (IBD) treatment via local scaffold implantation strategy. PURPOSE: In this study, silver nanoparticle (AgNP)-loaded nano-hydroxyapatite (nHA)@ reduced graphene oxide (RGO) 3D scaffolds (AHRG scaffolds) were designed to alleviate bone infection, inhibit biofilm formation, and promote bone repair through the synergistic effects of AgNPs, RGO, and nHA. MATERIALS AND

methodsAHRGs were prepared using a one-step preparation method, to create a 3D porous scaffold to facilitate a uniform distribution of AgNPs and nHA. Methicillin-resistant Staphylococcus aureus (MRSA) was used as a model-resistant bacterium, and the effects of different silver loadings on the antimicrobial activity and cytocompatibility of materials were evaluated. Finally, a rabbit IBD model was used to evaluate the therapeutic effect of the AHRG scaffold in vivo.

resultsThe results showed successful synthesis of the AHRG scaffold. The ideal 3D porous structure was verified using scanning electron microscopy and transmission electron microscopy, and X-ray photoelectron spectroscopy and selected area electron diffraction measurements revealed uniform distributions of AgNP and nHA. In vitro antibacterial and cytocompatibility indicated that the 4% AHRG scaffolds possessed the most favorable balance of bactericidal properties and cytocompatibility. In vivo evaluation of the IBD model showed promising treatment efficacy of AHRG scaffolds.

conclusionThe as-fabricated AHRG scaffolds effectively eliminated infection and inhibited biofilm formation. IBD repair was facilitated by the bactericidal properties and 3D porous structure of the AHRG scaffold, suggesting its potential in the treatment of IBDs.

Indexed as

AnimalsAnti-Bacterial AgentsBiofilmsBone and BonesBone Diseases, InfectiousBone RegenerationBone SubstitutesDisease Models, AnimalDurapatiteFemaleGraphiteMaleMaterials TestingMetal NanoparticlesMethicillin-Resistant Staphylococcus aureusPorosityAnti-Bacterial AgentsBone SubstitutesDurapatitegraphene oxideGraphiteSilverbiofilmgraphene oxidehydroxyapatiteinfected bone defectscaffoldsilver nanoparticlesthree-dimensional

Identifiers

PMID32764934
PMCPMC7371608

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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.