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基于污水的流行病学研究用于追踪卡塔尔新冠隔离医院中的细菌多样性和抗生素耐药性

Wastewater-based epidemiology for tracking bacterial diversity and antibiotic resistance in COVID-19 isolation hospitals in Qatar.

机构信息

Research and Development Department, Barzan Holdings, Doha, Qatar.

Biomedical Research Centre, Qatar University, Doha, Qatar.

出版信息

J Hosp Infect. 2023 Nov;141:209-220. doi: 10.1016/j.jhin.2023.08.011. Epub 2023 Aug 26.

Abstract

BACKGROUND

Hospitals are hotspots for antimicrobial resistance genes (ARGs), and play a significant role in their emergence and spread. Large numbers of ARGs will be ejected from hospitals via wastewater systems. Wastewater-based epidemiology has been consolidated as a tool to provide real-time information, and represents a promising approach to understanding the prevalence of bacteria and ARGs at community level.

AIMS

To determine bacterial diversity and identify ARG profiles in hospital wastewater pathogens obtained from coronavirus disease 2019 (COVID-19) isolation hospitals compared with non-COVID-19 facilities during the pandemic.

METHODS

Wastewater samples were obtained from four hospitals: three assigned to patients with COVID-19 patients and one assigned to non-COVID-19 patients. A microbial DNA quantitative polymerase chain reaction was used to determine bacterial diversity and ARGs.

FINDINGS

The assay recorded 27 different bacterial species in the samples, belonging to the following phyla: Firmicutes (44.4%), Proteobacteria (33.3%), Actinobacteria (11%), Bacteroidetes (7.4%) and Verrucomicrobiota (3.7%). In addition, 61 ARGs were detected in total. The highest number of ARGs was observed for the Hazem Mebaireek General Hospital (HMGH) COVID-19 patient site (88.5%), and the lowest number of ARGs was found for the HMGH non-patient site (24.1%).

CONCLUSION

The emergence of contaminants in sewage water, such as ARGs and high pathogen levels, poses a potential risk to public health and the aquatic ecosystem.

摘要

背景

医院是抗微生物药物耐药基因(ARGs)的热点,在其出现和传播中起着重要作用。大量的 ARGs 将通过废水系统从医院中排出。基于污水的流行病学已被确立为提供实时信息的工具,代表了一种了解社区层面细菌和 ARG 流行情况的有前途的方法。

目的

在大流行期间,与非 COVID-19 设施相比,确定从 COVID-19 隔离医院获得的医院废水中病原体的细菌多样性,并确定 ARG 图谱。

方法

从四家医院采集了废水样本:三家分配给 COVID-19 患者,一家分配给非 COVID-19 患者。使用微生物 DNA 定量聚合酶链反应来确定细菌多样性和 ARGs。

结果

该检测法在样本中记录了 27 种不同的细菌种,属于以下门:厚壁菌门(44.4%)、变形菌门(33.3%)、放线菌门(11%)、拟杆菌门(7.4%)和疣微菌门(3.7%)。此外,总共检测到 61 个 ARGs。Hazem Mebaireek 综合医院(HMGH)COVID-19 患者站点观察到的 ARG 数量最多(88.5%),HMGH 非患者站点观察到的 ARG 数量最少(24.1%)。

结论

污水中出现污染物,如 ARGs 和高病原体水平,对公共健康和水生生态系统构成潜在风险。

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