Suppr超能文献

[白色念珠菌在Provox 2和Provox Acti Valve人工喉假体上的生物膜形成]

[Candida biofilm formation on Provox 2 and Provox Acti Valve voice prosthesis].

作者信息

Nowak Magdalena, Kurnatowski Piotr

机构信息

Katedra Biologii i Parazytologii Lekarskiej UM w Łodzi.

出版信息

Otolaryngol Pol. 2010 Nov-Dec;64(6):358-64. doi: 10.1016/S0030-6657(10)70587-4.

Abstract

INTRODUCTION

Patients who underwent laryngectomy due to larynx cancer have a possibility to regain ability to speak with the use of silicone voice prosthesis. However, the lifetime of the device is limited, and last for approximately 3-6 months, mainly due to bacterial and fungal biofilm formation, that subsequently causes deterioration of the prosthesis and malfunction of the valve mechanisms. Moreover, the biofilm can be reservoir for chronic and systemic infections.

AIM

The aim of the following study was to investigate Candida biofilm formation on silicone voice prosthesis.

MATERIAL AND METHODS

Experiments were performed using C. albicans and C. krusei fungal strains with Provox 2 and Provox Acti Valve voice prosthesis. Fungal biofilms were examined under various magnifications using SEM technique.

RESULTS

Scanning electron microscopy revealed that Candida biofilms formed on voice prosthesis had highly heterogeneous structure and were composed of blastospores, pseudohyphae, hyphae and ,,germ tubes" encased in an extracellular material. Noticeable differences in biofilms structure depended on Candida species and type of voice prosthesis.

CONCLUSIONS

Presented data throws light on problems concerned fungal colonization on indwelled medical devices.

摘要

引言

因喉癌接受喉切除术的患者有可能通过使用硅胶语音假体重新获得说话能力。然而,该装置的使用寿命有限,大约持续3至6个月,主要是由于细菌和真菌生物膜的形成,这随后会导致假体退化和瓣膜机制故障。此外,生物膜可能是慢性和全身感染的储存库。

目的

以下研究的目的是调查硅胶语音假体上念珠菌生物膜的形成情况。

材料与方法

使用白色念珠菌和克鲁斯念珠菌菌株以及Provox 2和Provox Acti Valve语音假体进行实验。使用扫描电子显微镜技术在各种放大倍数下检查真菌生物膜。

结果

扫描电子显微镜显示,在语音假体上形成的念珠菌生物膜具有高度异质的结构,由芽生孢子、假菌丝、菌丝和包裹在细胞外物质中的“芽管”组成。生物膜结构的明显差异取决于念珠菌种类和语音假体类型。

结论

所呈现的数据揭示了与植入式医疗设备上真菌定植相关的问题。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验