课题基金 / 基金详情

Research Methods for Implementing Infection Quality Control for Dental Implants (IQ-ReMDI).

Research Methods for Implementing Infection Quality Control for Dental Implants (IQ-ReMDI).
实施牙种植体感染质量控制的研究方法(IQ-ReMDI)。
批准号:
MR/W005530/1
负责人:
Thuy Do
金额:
$20.95万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

项目摘要

项目成果

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相关文献

中文摘要
翻译
随着人口老龄化,种植体将变得越来越受欢迎。种植失败相对较少,但更换起来可能很有挑战性。那些要求立即手术切除的人通常是由种植体周围炎引起的,这是一种由微生物感染引起的炎症性疾病。替代种植体的成功率相对较低,通常需要额外的软组织和/或硬组织移植、新的基牙和较长的愈合时间。种植体周围组织的微生物感染是一个重大挑战,可能危及骨整合种植体的成功。因此,了解抗感染植入物的预测潜力对于减少此类并发症至关重要。目前研究抗微生物生物材料的方法存在局限性,因为到目前为止使用的细菌物种模型很少,这可以说不能反映在口腔环境中观察到的丰富的微生物种群。基于各种失调状态的复杂微生物生物膜的方法开发可能更适合预测种植体周围的进展。利兹大学(UOL)牙学院的团队以前曾成功地开发了一个强大的牙周炎生物膜模型,该模型将被适应与种植体周围炎相关的复制微生物学条件。这一独特而复杂的系统将被用作对牙科植入物的抗微生物性能进行严格测试的工具。通过这一借调计划,我们建议UOL与总部位于诺丁汉的牙科植入物制造商爱登堡牙科实验室(ATT)建立创新伙伴关系。在我们之前在UOL微生物组和生物材料开发方面成功研究的基础上,该项目将提供机会,组成一个高效的多学科团队,旨在设计和实施ATT植入材料的健康和质量控制的新生物系统。ATT和UOL在多孔植入物的生物力学建模方面的知识,加上添加材料涂层的3D打印,将为该项目提供新型的抗感染、可定制的植入物。在种植体周围炎相关微生物存在或不存在的情况下,将与人成骨细胞和内皮细胞共培养,进行细胞毒性、杀菌活性、血管形成和骨整合特性的研究。我们的生物系统方法将在ATT的在线制造过程中作为一种有效的方法进行测试,以确保降低植入失败的风险。预计通过知识转移,这项工作将对UOL和ATT产生很高的翻译影响和价值,并将为借调人员提供培训和更好的职业前景。
英文摘要
Dental implants are set to become increasingly popular as the population ages.Implant failures are relatively uncommon but can be challenging to replace. Thosethat mandate immediate surgical removal are typically caused by peri-implantitis,an inflammatory disease caused by microbial infection. A replacement implant hasrelatively lower success rates and often requires additional soft and/or hard tissuegrafts, new abutments and longer healing times. Microbial infection of the tissuesaround the implant is a major challenge which may jeopardise the success ofosseointegrated implants. Therefore, an understanding of the predictive potentialof infection-resistant implants is essential to reduce such complications. There islimitation in the current methods of investigating anti-microbial biomaterials, in thatfew bacterial species models have been used so far, which are arguably notreflective of the rich microbial populations observed in the oral environment.Methodological development based on complex microbial biofilms in variousdysbiotic states could be more suited to predict progression to peri-implantitis.The group at University of Leeds (UoL) Dental School has previously successfullydeveloped a robust periodontitis biofilm model which will be adapted to replicatemicrobiological conditions associated with peri-implantitis. This unique andcomplex system will be used as a tool to conduct rigorous tests on dental implants'anti-microbial properties.Through this secondment scheme, we propose an innovation partnership betweenthe UoL and the Nottingham-based dental implant manufacturer AttenboroughDental Laboratory (ATT). Building on our previous successful research in bothmicrobiome and biomaterials development at UoL, the project will offer theopportunity to form a highly efficient multi-disciplinary team with the aim to designand implement a new biological system of health and quality control of implantmaterials at ATT. ATT and UoL's knowledge of biomechanics modelling of porous implantscombined with 3D-printing of additive material coatings will provide the project withnovel infection-resistant, customisable implants. The cytotoxicity, bactericidalactivities, vascularisation and osseointegration properties will be carried out usingco-culturing with human osteoblasts and endothelial cells in the presence orabsence of peri-implantitis-associated microbes. Our biological system approachwill cumulate in being tested for implementation into ATT's in-line manufacturingprocess as an efficient method for ensuring the reduction of the risk of implantfailure.The work is expected to have high translational impact and value for both UoL andATT through knowledge transfer and will provide training and enhanced careerprospects for the secondee.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
DOI: 10.2807/1560-7917.es.2022.27.26.2100704
发表时间: 2022-06
期刊: EUROSURVEILLANCE
影响因子: 19
作者: [Viprey, Virginie F., Davis, Georgina L., Benson, Anthony D., Ewin, Duncan, Spittal, William, Vernon, Jon J., Rupnik, Maja, Banz, Alice, Allantaz, Florence, Cleuziat, Philippe, Wilcox, Mark H., Davies, Kerrie A.]
通讯作者: Davies, Kerrie A.
DOI: 10.1016/j.dentre.2022.100060
发表时间: 2022-11
期刊: Dentistry Review
影响因子: --
作者: [J. J. Vernon-J.;E. Raïf;Jensen Aw;E. Attenborough;Animesh Jha;T. Do]
通讯作者: J. J. Vernon-J.;E. Raïf;Jensen Aw;E. Attenborough;Animesh Jha;T. Do
DOI: 10.1177/00220345221123253
发表时间: 2023-01
期刊: Journal of dental research
影响因子: 7.6
作者: []
通讯作者:
DOI: 10.1177/00220345211032885
发表时间: 2021-12
期刊: Journal of dental research
影响因子: 7.6
作者: [Vernon JJ, Black EVI, Dennis T, Devine DA, Fletcher L, Wood DJ, Nattress BR]
通讯作者: Nattress BR
国内基金
海外基金
Computational Methods for Analyzing Toponome Data