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

建议的研究：为了提供一系列分析化学和生物技术方面的培训，建议进行以下研究：(1)动物和人类的尿液和粪便(从婴儿到老年人；将应用GCxGC-MS应用‘代谢组的深度注释’(DAM)策略对人类肠道衍生的器官细胞模型进行分析。(2)利用在步骤(1)中得出的目标代谢物列表，将开发和优化GCxGC-MS半靶向化验，以测量尽可能多的代谢物，包括用于代谢物绝对定量的内部标准和校准曲线。(3)半定向化验将用于收集来自尿液的新陈代谢数据。粪便和组织样本以模拟与年龄相关的代谢变化以及肠道微生物组组成的变化对这些代谢变化的影响。

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.