Wastewater-based proteomics: A proof-of-concept for advancing early warning system for infectious diseases and immune response monitoring

IF 6.6 Q1 ENGINEERING, ENVIRONMENTAL
Kishore Kumar Jagadeesan , Harry Elliss , Richard Standerwick , Megan Robertson , Ruth Barden , Barbara Kasprzyk-Hordern
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引用次数: 0

Abstract

In this proof-of-concept study, a new mass spectrometry-based framework was introduced for concurrent tracking of infectious disease prevalence and community responses. The study focused on the detection of SARS-CoV-2 as the test pathogen and C-reactive protein (CRP) as the representative acute phase response protein. Through mass spectrometry (MS), the research provided preliminary insights into the prevalence of the virus and community acute immune responses, suggesting its strong potential as an early warning system. The high specificity and sensitivity of MS, combined with wastewater-based epidemiology's ability to provide a population-level perspective on virus prevalence, make it a valuable tool for public health surveillance. The study's findings demonstrate the utility of targeted proteomics technology in detecting specific protein biomarkers associated with SARS-CoV-2 infection and inflammation in complex wastewater samples. This approach has advantages over traditional RNA-based methods, including the ability to simultaneously detect acute-phase response proteins such as CRP. The study lays the foundation for future research towards refining analytical techniques to extract more precise data from complex matrices.

Synopsis

WBE proteomics holds a strong potential in wastewater surveillance for pathogens and disease outcomes

基于废水的蛋白质组学:推进传染病预警系统和免疫反应监测的概念验证
在这项概念验证研究中,引入了一种基于质谱法的新框架,用于同时跟踪传染病流行情况和社区反应。研究重点是检测作为测试病原体的 SARS-CoV-2 和作为代表性急性期反应蛋白的 C 反应蛋白 (CRP)。通过质谱分析法(MS),该研究初步了解了病毒的流行情况和社区急性免疫反应,显示了其作为预警系统的强大潜力。质谱法的高特异性和高灵敏度,加上基于废水的流行病学能够提供病毒流行的人群视角,使其成为公共卫生监测的重要工具。研究结果证明了靶向蛋白质组学技术在检测复杂废水样本中与 SARS-CoV-2 感染和炎症相关的特定蛋白质生物标记物方面的实用性。与传统的基于 RNA 的方法相比,这种方法具有优势,包括能同时检测急性期反应蛋白(如 CRP)。这项研究为今后的研究奠定了基础,以便改进分析技术,从复杂的基质中提取更精确的数据。
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来源期刊
Journal of hazardous materials letters
Journal of hazardous materials letters Pollution, Health, Toxicology and Mutagenesis, Environmental Chemistry, Waste Management and Disposal, Environmental Engineering
CiteScore
10.30
自引率
0.00%
发文量
0
审稿时长
20 days
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