Development of diagnostic indicators of community-wide health using WBE with state-of-the-art hyphenated mass spectrometry techniques

使用 WBE 和最先进的联用质谱技术开发社区范围内的健康诊断指标

• 批准号: 2749112
• 金额: --
• 依托单位: University of Bath
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2749112
• 关键词: Development; diagnostic; indicators; community; wide

This research project aims to develop community-wide mental health and stress indicators via Wastewater Based Epidemiology (WBE) using liquid chromatography-tandem mass spectrometry (LC-MS).There are multiple objectives to be completed within this project:Firstly, building on the exogenous (external origin, for example, anti-depressants & benzodiazepines) and endogenous (internal origin, for example, hormones and isoprostanes) biomarkers currently used during WBE by Identifying new biomarkers which could be used as a proxy for mental health and stress. Secondly, to develop a new LC-MS method to facilitate the identification and quantification of new biomarkers identified in the first objective.Thirdly, upon quantification of these biomarkers, used to monitor the mental health and stress in a community, I will perform data triangulation and a comparative analysis between communities to compare their mental health and stress, factoring in various potential impacts, including socioeconomic differences and health indicators recorded by alternative methods.The application of this project is to develop research in the field of WBE by identifying new biomarkers which can be used to assess community-wide mental health status. This project will directly contribute to the current repository of quantifiable biomarkers to deliver future early warning systems for disease outbreaks.The primary benefit of this research is in public health. Therefore, the research to be undertaken is directly relevant to the Engineering and Physical Sciences Research Council (EPSRC) aims. To 'create knowledge in engineering and physical sciences for UK capability to benefit society and the economy'. [1] Therefore, by providing early warning systems for disease outbreaks, this research directly benefits society.The second supervisor, Prof Julie Barnett, a professor in the Department of Psychology, has expertise in public health. During data analysis, Prof Barnett can assist in triangulating this data with community health and socioeconomic indicators to accurately interpret the data concerning public health. The third supervisor, Dr Kathryn Proctor, is the mass spectrometry specialist in the Material and Chemical Characterisation Facility at the University of Bath. Mass Spectrometry is the primary analytical technique I will use during my project; their expertise will assist me with training, analysis and any troubleshooting I may encounter.References:1. UK Research and Innovation, updated 2022, 13th October 2022, https://www.ukri.org/councils/epsrc/

该研究项目旨在利用液相色谱-串联质谱法 (LC-MS) 通过基于废水的流行病学 (WBE) 来开发社区范围内的心理健康和压力指标。该项目需要完成多个目标：首先，建立在外源性（外部来源，例如抗抑郁药和苯二氮卓类药物）和内源性（内部来源，例如激素和异前列腺素）的基础上 目前在 WBE 期间使用的生物标记物，通过识别可用作心理健康和压力代理的新生物标记物。其次，开发一种新的LC-MS方法，以促进第一个目标中确定的新生物标志物的识别和量化。第三，在对这些生物标志物进行量化后，用于监测社区的心理健康和压力，我将在社区之间进行数据三角测量和比较分析，以比较他们的心理健康和压力，考虑各种潜在影响，包括社会经济差异和通过替代方法记录的健康指标。该项目的应用 旨在通过识别可用于评估全社区心理健康状况的新生物标志物来开展 WBE 领域的研究。该项目将直接为当前的可量化生物标志物库做出贡献，以提供未来疾病爆发的早期预警系统。这项研究的主要好处是在公共卫生方面。因此，要进行的研究与工程和物理科学研究委员会（EPSRC）的目标直接相关。 “为英国创造工程和物理科学知识，造福社会和经济”。 [1] 因此，通过为疾病爆发提供预警系统，这项研究直接造福社会。 第二位导师，心理学系教授 Julie Barnett 教授，拥有公共卫生方面的专业知识。在数据分析过程中，巴尼特教授可以协助将这些数据与社区健康和社会经济指标进行三角测量，以准确解释有关公共卫生的数据。第三位导师凯瑟琳·普罗克特博士是巴斯大学材料和化学表征设施的质谱专家。质谱分析是我在项目中使用的主要分析技术；他们的专业知识将帮助我进行培训、分析以及我可能遇到的任何故障排除。参考文献：1。英国研究与创新，2022 年更新，2022 年 10 月 13 日，https://www.ukri.org/councils/epsrc/