Modelling metabolism in the human gut to understand inter-tissue metabolism during ageing

模拟人体肠道代谢以了解衰老过程中的组织间代谢

• 批准号: 2771529
• 金额: --
• 依托单位: University of Liverpool
• 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-2771529
• 关键词: Modelling; metabolism; human; gut; understand

Proposed research: To provide training in a range of analytical chemistry and biological techniques the following research is proposed:(1) Urine and faeces from animals and humans (from infants to old; male and female) as well as human intestinal derived organoid cell models will be analysed applying GCxGC-MS applying a 'deep annotation of the metabolome' (DAM) strategy which will maximise the number of metabolites detected and subsequently structurally identified.(2) With the list of target metabolites derived in step (1), a GCxGC-MS semi-targeted assay will be developed and optimised to measure as many metabolites as is possible with the inclusion of internal standards and calibration curves for metabolite absolute quantification.(3) The semi-targeted assay will be applied to collect data on metabolism from urine, faecal and tissue samples to model age-related metabolic changes and the impact of changes in the gut microbiome composition on these metabolic changes.

拟议研究：为了提供一系列分析化学和生物技术的培训，提出了以下研究：（1）将采用GCxGC-MS分析动物和人类（从婴儿到老年人;男性和女性）的尿液和粪便以及人类肠道衍生的类器官细胞模型，该GCxGC-MS应用“代谢组的深度注释”（DAM）策略，该策略将最大限度地增加检测到的代谢物数量，并随后进行结构鉴定。(2)根据步骤（1）中得出的目标代谢物列表，将开发并优化GCxGC-MS半靶向测定法，以测定尽可能多的代谢物，并纳入内标物和代谢物绝对定量的校准曲线。(3)半靶向试验将用于收集尿液、粪便和组织样本的代谢数据，以模拟年龄相关的代谢变化以及肠道微生物组组成变化对这些代谢变化的影响。