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/

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)当前在WBE期间使用的生物标志物通过识别可用作心理健康和压力代理的新生物标志物。其次，要开发一种新的LC-MS方法来促进第一个目标中确定的新生物标志物的识别和量化。三分之二的是，在对这些生物标志物进行量化后，用于监测社区中的心理健康和压力，我将执行数据三角测量和对社区之间的比较分析，以在各种影响下进行录制，包括他们的精神健康和适用于社会的差异，并在内是通过识别可用于评估社区范围内心理健康状况的新生物标志物来开发WBE领域的研究。该项目将直接有助于当前可量化的生物标志物的存储库，以提供未来的疾病爆发预警系统。这项研究的主要好处在于公共卫生。因此，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。 “为英国有利于社会和经济的能力创造工程和物理科学知识”。 [1]因此，通过提供疾病暴发的预警系统，这项研究直接使社会受益。第二位主管，心理学系教授朱莉·巴内特（Julie Barnett）教授在公共卫生方面具有专业知识。在数据分析过程中，巴内特教授可以通过社区健康和社会经济指标来协助三角研究，以准确解释有关公共卫生的数据。第三位主管Kathryn Proctor博士是巴斯大学材料和化学表征设施的质谱专家。质谱是我在项目期间将使用的主要分析技术。他们的专业知识将帮助我进行培训，分析和我可能会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/