Engineered water system

工程水系统
  • 文章类型: Journal Article
    嗜肺军团菌是一种水传播的病原体,作为军团病的病原体,一个重大的公共卫生问题。暴露于环境压力,和消毒处理,促进抗性和潜在传染性的可行但不可培养的(VBNC)军团菌的形成。使用标准培养(ISO11731:2017-05)和定量聚合酶反应(ISO/TS12869:2019)方法无法检测到的VBNC军团菌的存在阻碍了工程水系统预防军团病的管理。本研究描述了一种使用“基于活力的流式细胞术-细胞分选和qPCR”(VFCqPCR)测定从环境水样品中定量VBNC军团菌的新方法。然后通过定量来自医院水样品的VBNC军团菌基因组负荷来验证该方案。VBNC细胞无法在缓冲木炭酵母提取物(BCYE)琼脂上培养;然而,通过它们的ATP活性和感染变形虫宿主的能力证实了它们的生存能力。随后,对ISO11731:2017-05治疗前程序的评估表明,酸或热处理会导致对活着的军团菌种群的低估.我们的结果显示,这些预处理程序诱导可培养细胞进入VBNC状态。这可以解释军团菌培养方法经常观察到的不敏感性和缺乏可重复性。这项研究代表了首次将流式细胞术-细胞分选与qPCR测定结合用作从环境来源定量VBNC军团菌的快速直接方法。这将极大地改善评估军团菌风险管理方法以控制军团菌病的未来研究。
    Legionella pneumophila is a waterborne pathogen and, as the causative agent of Legionnaires\' disease, a significant public health concern. Exposure to environmental stresses, and disinfection treatments, promotes the formation of resistant and potentially infectious viable but non-culturable (VBNC) Legionella. The management of engineered water systems to prevent Legionnaires\' disease is hindered by the presence of VBNC Legionella that cannot be detected using the standard culture (ISO11731:2017-05) and quantitative polymerase reaction (ISO/TS12869:2019) methods. This study describes a novel method to quantify VBNC Legionella from environmental water samples using a \"viability based flow cytometry-cell sorting and qPCR\" (VFC + qPCR) assay. This protocol was then validated by quantifying the VBNC Legionella genomic load from hospital water samples. The VBNC cells were unable to be cultured on Buffered Charcoal Yeast Extract (BCYE) agar; however, their viability was confirmed through their ATP activity and ability to infect amoeba hosts. Subsequently, an assessment of the ISO11731:2017-05 pre-treatment procedure demonstrated that acid or heat treatment cause underestimation of alive Legionella population. Our results showed that these pre-treatment procedures induce culturable cells to enter a VBNC state. This may explain the observed insensitivity and lack of reproducibility often observed with the Legionella culture method. This study represents the first time that flow cytometry-cell sorting in conjunction with a qPCR assay has been used as a rapid and direct method to quantify VBNC Legionella from environmental sources. This will significantly improve future research evaluating Legionella risk management approaches for the control of Legionnaires\' disease.
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  • 文章类型: Journal Article
    Mycobacterium avium complex (MAC) is a group of environmentally-transmitted pathogens of great public health importance. This group is known to be harbored, amplified, and selected for more human-virulent characteristics by amoeba species in aquatic biofilms. However, a quantitative microbial risk assessment (QMRA) has not been performed due to the lack of dose response models resulting from significant heterogeneity within even a single species or subspecies of MAC, as well as the range of human susceptibilities to mycobacterial disease. The primary human-relevant species and subspecies responsible for the majority of the human disease burden and present in drinking water, biofilms, and soil are M. avium subsp. hominissuis, M. intracellulare, and M. chimaera. A critical review of the published literature identified important health endpoints, exposure routes, and susceptible populations for MAC risk assessment. In addition, data sets for quantitative dose-response functions were extracted from published in vivo animal dosing experiments. As a result, seven new exponential dose response models for human-relevant species of MAC with endpoints of lung lesions, death, disseminated infection, liver infection, and lymph node lesions are proposed. Although current physical and biochemical tests used in clinical settings do not differentiate between M. avium and M. intracellulare, differentiating between environmental species and subspecies of the MAC can aid in the assessment of health risks and control of MAC sources. A framework is proposed for incorporating the proposed dose response models into susceptible population- and exposure route-specific QMRA models.
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