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医院使用的喷雾器中的微生物组谱。

Microbiome Profiles of Nebulizers in Hospital Use.

机构信息

Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, Tennessee, USA.

Department of Medicine, The University of Tennessee Graduate School of Medicine, Knoxville, Tennessee, USA.

出版信息

J Aerosol Med Pulm Drug Deliv. 2022 Aug;35(4):212-222. doi: 10.1089/jamp.2021.0032. Epub 2022 Feb 25.

Abstract

Nebulizers are used to provide treatment to respiratory patients. Concerns over nosocomial infection risks from contaminated nebulizers raise the critical need to identify all microbial populations in nebulizers used by patients. However, conventional culture-dependent techniques are inadequate with the ability to identify specific microbial populations only. Therefore, the aims of this study were to acquire complete profiles of microbiomes in nebulizers used by in-patients with culture-independent high-throughput sequencing and identify sources of microbial contaminants for the development of effective practices to reduce microbial contamination in nebulizer devices. This study was conducted at the University of Tennessee Medical Center in Knoxville, TN. Nebulizers were collected between May 2018 and October 2018 from inpatients admitted to the floors for pneumonia or chronic obstructive pulmonary disease exacerbations. Nebulizers were sampled for 16S rRNA gene-based amplicon sequencing to profile nebulizer microbiomes and perform phylogenetic analysis. A Bayesian community-wide culture-independent microbial source tracking technique was used to quantify the contribution of human-associated microbiota as potential sources of nebulizer contamination. Culture-independent sequencing detected diverse microbial populations in nebulizers, represented by 18 abundant genera. was identified as the most abundant genus, accounting for 12.4% of the nebulizer microbiome, followed by , , , and . Phylogenetic analysis revealed the presence of multiple phylotypes with close relationship to potential pathogens. Contributing up to 15% to nebulizer microbiomes, human-associated microbiota was not identified as the primary sources of nebulizer contamination. Culture-independent sequencing was demonstrated to be capable of acquiring comprehensive profiles of microbiomes in nebulizers used by in-patients. Phylogenetic analysis identified differences in pathogenicity between closely related phylotypes. Microbiome profile-enabled community-wide culture-independent microbial source tracking suggested greater importance of environmental sources than human sources as contributors to nebulizer microbiomes, providing important insight for the development of effective strategies for the monitoring and control of nebulizer devices to mitigate infection risks in the hospital.

摘要

雾化器用于为呼吸道患者提供治疗。由于担心受污染的雾化器会导致医院感染风险,因此迫切需要识别患者使用的雾化器中的所有微生物种群。然而,传统的基于培养的技术只能识别特定的微生物种群,能力有限。因此,本研究的目的是使用无培养的高通量测序获得住院患者使用的雾化器中微生物组的完整图谱,并确定微生物污染物的来源,以制定有效措施减少雾化器设备中的微生物污染。本研究在田纳西大学医疗中心进行,位于田纳西州诺克斯维尔市。2018 年 5 月至 2018 年 10 月,从因肺炎或慢性阻塞性肺疾病恶化而住院的患者中收集雾化器。对雾化器进行 16S rRNA 基因扩增子测序,以对雾化器微生物组进行分析并进行系统发育分析。使用贝叶斯全社区无培养微生物源追踪技术来量化人类相关微生物组作为雾化器污染潜在来源的贡献。无培养测序检测到雾化器中存在多样化的微生物种群,代表了 18 个丰富的属。被鉴定为最丰富的属,占雾化器微生物组的 12.4%,其次是 、 、 、 。系统发育分析显示存在与潜在病原体密切相关的多种菌株。对雾化器微生物组的贡献高达 15%,人类相关微生物组未被鉴定为雾化器污染的主要来源。无培养测序被证明能够全面获取住院患者使用的雾化器中的微生物组图谱。系统发育分析确定了密切相关菌株之间的致病性差异。基于微生物组图谱的全社区无培养微生物源追踪表明,环境来源比人类来源对雾化器微生物组的贡献更大,这为开发有效的雾化器设备监测和控制策略提供了重要的见解,以降低医院感染风险。

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