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熟练护理机构废水监测:一项严重急性呼吸综合征冠状病毒2型和抗菌药物耐药性检测的试点研究。

Skilled nursing facility wastewater surveillance: a SARS-CoV-2 and antimicrobial resistance detection pilot study.

作者信息

Santiago Ariel Jose, Burgos Garay Maria, Campbell Mariya, Cahela Yimu, Donlan Rodney, Gable Paige, Ganim Kyros Christine, Franco Lauren, Kartforosh Leila, Lenz Susanna, Lyons Amanda K, Moore Jamari, Noble-Wang Judith, Sanders Carrie, Abera Bethelhem, Adler Colin H, Jones Sophie, Medrzycki Magdalena, Walters Maroya S, Cook Peter, Li Yan, Tao Ying, Zhang Jing, Malapati Lakshmi, Retchless Adam, Tong Suxiang, Coulliette-Salmond Angela D

机构信息

Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd., Atlanta, GA 30329, USA E-mail:

Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd., Atlanta, GA 30329, USA.

出版信息

J Water Health. 2025 Jun;23(6):727-742. doi: 10.2166/wh.2025.374. Epub 2025 May 9.

Abstract

The purpose of this study was to determine the feasibility of facility-level wastewater surveillance in the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in skilled nursing facility (SNF) wastewater using three concentration methods, as well as a proof-of-concept for antimicrobial resistance (AR) genes/organisms detection. Wastewater effluent samples were collected from an SNF over an 8-week period. Wastewater was concentrated using electronegative membrane filtration (enMF), polyethylene glycol precipitation, and Nanotrap magnetic virus particles (NP). Quantification of the genome copy concentration from SARS-CoV-2 and bovine respiratory syncytial virus (BRSV), a SARS-CoV-2 surrogate spiked into all samples, was performed with droplet digital polymerase chain reaction (ddPCR). Wastewater sample aliquots were also enriched in microbiological culture media and screened for organisms with AR phenotypes on selective and differential agars. Multiplex real-time PCR was used to detect a broad array of carbapenem resistance genes. SARS-CoV-2 was detected and quantified from a single enMF-concentrated wastewater sample. The highest concentration of BRSV came from enMF-concentrated samples. , , , and exhibiting AR phenotypes were successfully detected using culture-dependent approaches. Culture-independent, multiplex PCR indicated that bla was the main carbapenemase gene detected in wastewater samples. Facility-level wastewater surveillance could be a useful strategy for SNFs.

摘要

本研究的目的是确定在熟练护理机构(SNF)废水中使用三种浓缩方法进行设施级废水监测以检测严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的可行性,以及对抗菌药物耐药性(AR)基因/生物体检测的概念验证。在8周的时间内从一家SNF收集废水排放样本。使用电负性膜过滤(enMF)、聚乙二醇沉淀和纳米捕获磁性病毒颗粒(NP)对废水进行浓缩。使用液滴数字聚合酶链反应(ddPCR)对SARS-CoV-2和牛呼吸道合胞病毒(BRSV,一种添加到所有样本中的SARS-CoV-2替代物)的基因组拷贝浓度进行定量。废水样本等分试样也在微生物培养基中富集,并在选择性和鉴别性琼脂上筛选具有AR表型的生物体。使用多重实时PCR检测多种碳青霉烯耐药基因。从单个enMF浓缩的废水样本中检测并定量了SARS-CoV-2。BRSV的最高浓度来自enMF浓缩样本。使用依赖培养的方法成功检测到表现出AR表型的、、和。非依赖培养的多重PCR表明bla是在废水样本中检测到的主要碳青霉烯酶基因。设施级废水监测可能是SNF的一种有用策略。

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