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/

这项研究项目旨在通过基于废水的流行病学(WBE)利用液-质联用(LC-MS)开发社区范围的心理健康和压力指标。该项目有多个目标要完成：首先，通过识别可作为心理健康和压力代理的新生物标记物，建立目前在WBE中使用的外源性(外源性，如抗抑郁剂和苯二氮卓类)和内源性(内源性，如激素和异前列腺素)生物标记物。第二，开发一种新的LC-MS方法，以便于识别和量化第一个目标中识别的新的生物标记物。第三，在量化这些用于监测社区心理健康和压力的生物标记物后，我将进行数据三角和社区之间的比较分析，以比较他们的心理健康和压力，考虑到各种潜在的影响，包括社会经济差异和通过替代方法记录的健康指标。本项目的应用是通过识别新的生物标记物来发展WBE领域的研究，这些新的生物标记物可以用于评估社区范围的心理健康状况。该项目将直接促进当前可量化生物标志物的储存库，为未来的疾病爆发提供早期预警系统。这项研究的主要好处是在公共卫生方面。因此，将要进行的研究与工程和物理科学研究理事会(EPSRC)的目标直接相关。创造工程和物理科学方面的知识，使英国有能力造福社会和经济。[1]因此，通过提供疾病爆发的早期预警系统，这项研究直接造福于社会。第二位导师，心理学系教授朱莉·巴尼特教授，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健康的数据。第三位主管凯瑟琳·普罗克托博士是巴斯大学物质和化学表征设施的质谱学专家。质谱学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、分析和我可能遇到的任何故障排除。参考：1.英国研究与创新，2022年10月13日更新，https://www.ukri.org/councils/epsrc/