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UK Consortium for MetAbolic Phenotyping (MAP UK)

UK Consortium for MetAbolic Phenotyping (MAP UK)
英国代谢表型联盟 (MAP UK)
批准号:
MR/S010483/1
负责人:
Zoltan Takats
金额:
$272.46万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
未结题
起止时间:
2019 至 --

项目摘要

项目成果

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中文摘要
翻译
代谢表型是通过观察生物体液(如尿液和血液)和组织的化学成分来研究人类健康的科学。先进的技术被用来以无偏见的“非靶向”方式测量人类样本中数千种代谢物的数量,生成代表个人代谢表型的个人特征(或化学“指纹”)。表型是一个人的基因和众多环境因素影响的产物,包括饮食、生活方式、职业、压力、锻炼和暴露(例如,药物、毒素、污染物等)。表型可以通过直接测量一个人的代谢物来了解和测量,无论是循环中的代谢物(例如血液中的代谢物),还是组织中的代谢物(例如肌肉活检),或者作为代谢的最终产物(例如尿液)。代谢表型是一项新兴技术,用于增加我们对人类健康和疾病的了解,应用于预测疾病的易感性、发病和康复潜力,以及在需要的地方指导个性化治疗和临床干预的能力(这一领域被称为“分层医学”)。要充分利用代谢表型的潜力,代谢表型需要许多科学专业领域的合作。临床医生、流行病学家和其他希望使用表型分析工具研究特定科学问题(与个人、人群的健康或疾病的潜在化学机制有关)的科学家必须与了解生物流体处理和测量的技术人员和分析化学家、能够理解大量复杂数据的数据科学家(例如生物信息学家)以及能够解释这些数据的生物化学家合作。通过许多不同的方式提出假设、设计研究、测量生物体液和分析数据,代谢表型是一个专家领域,他们使用专业工具来回答特定的问题。虽然一个人掌握所有这些学科是不现实的,但对整个过程的理解对于确保有效使用强大的技术和宝贵的人类样本至关重要,而专家之间的沟通对于取得积极和有影响力的研究成果至关重要。考虑到这一点,我们的目标是通过在英国领先研究机构之间的伙伴关系框架内推动合作、协作发展和教育,促进代谢表型鉴定,以造福英国科学家。我们将在专家技术员、分析化学家和数据科学家之间组织和分享代谢测量和数据分析的专业方法,并提高这些工具对英国研究界的可见性和可用性。我们将通过听取英国研究界的意见,确定他们的表型需求,并将这些需求与我们合作伙伴关系中潜在的技术/方法解决方案相匹配,来开始我们的计划。我们将通过跨站点培训,在英国发展强大的研究能力和能力网络,确保这些解决方案的可用性。在我们的集体能力存在差距的地方,分析和信息学发展方案将努力满足这些特定需求,并最大限度地利用表型数据获得的价值。我们将通过将这一新组织的资源用于样本应用的研究来测试和展示我们的集体能力,我们将通过向英国研究界展示我们的工作和协调的表型鉴定平台来结束我们的计划。我们将通过对所有用户群体的外部培训来加强这一周期,以提高对表型方法的优势、局限性、具体考虑和多样性的认识,使整个英国的人类健康和疾病研究更有效、更有影响力和更高质量。
英文摘要
Metabolic phenotyping is the study of human health by observation of the chemical composition of biofluids (e.g. urine and blood) and tissues. Advanced technologies are used to measure the amounts of thousands of metabolites in human samples in an unbiased "untargeted" manner, generating individual profiles (or chemical "fingerprints") that represent the individual's metabolic phenotype. A phenotype is the product of a person's genes and the influence of numerous environmental factors including diet, lifestyle, occupation, stress, exercise, and exposures (e.g. to medications, toxins, pollutants, etc). A phenotype can be understood and measured by direct measurement of a person's metabolites, either in circulation (e.g. in blood), localised to a tissue (e.g. a muscle biopsy), or as the end products of metabolism (e.g. urine). Metabolic phenotyping is key as an emerging technology used to increase our understanding of human health and disease, with applications in the prediction of disease predisposition, onset, and potential for recovery, as well as the power to guide personalised therapies and clinical interventions where needed (a field called "stratified medicine").To be used to its full potential, metabolic phenotyping requires collaboration among many specialist areas of science. Clinicians, epidemiologists, and other scientists who wish to use phenotyping tools to investigate specific scientific questions (related to health in individuals, populations, or the underlying chemical mechanisms of diseases) must work together with technologists and analytical chemists who understand biofluid handling and measurement, data scientists (e.g. bioinformaticians) who can make sense of large amounts of complex data, and biochemists who can interpret that data. With many different ways to raise hypotheses, design studies, measure biofluids, and analyse data, metabolic phenotyping is a field of specialists who use specialist tools to answer specific questions. While it is not practical for one person to master all of these disciplines, an appreciation for the whole process is vital to ensure efficient use of powerful technologies and precious human samples, and communication among specialists is vital to achieving positive and impactful research outcomes. With this in mind, we aim to advance metabolic phenotyping for the benefit of UK scientists by driving cooperation, collaborative development, and education within the framework of a partnership among leading UK research institutions. We will organise and share specialist methods for metabolic measurement and data analysis among expert technologists, analytical chemists, and data scientists, as well as improve the visibility and availability of these tools to the UK research community. We will start our programme by listening to the UK research community, identifying their phenotyping needs and matching them to potential technological/methodological solutions held within our partnership. We will ensure the availability of these solutions by cross-site training, developing a strong network of research capability and capacity within the UK. Where gaps in our collective abilities exist, analytical and informatics development programmes will work to address those specific needs as well as maximise the obtainable value from phenotyping data. We will test and demonstrate our collective abilities by turning this newly organised resource toward the study of example applications, and we will conclude our programme by presenting our work and harmonised platform for phenotyping back to the UK research community. We will augment this cycle with external training of all user groups to raise awareness for the strengths, limitations, specific considerations and diversity of phenotyping approaches, enabling more efficient, more impactful, and higher quality human health and disease research throughout the UK.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1002/ctm2.1152
发表时间: 2023-01
期刊: Clinical and translational medicine
影响因子: 10.6
作者: []
通讯作者:
DOI: 10.1073/pnas.2206083119
发表时间: 2022-10-25
期刊: Proceedings of the National Academy of Sciences of the United States of America
影响因子: 11.1
作者: []
通讯作者:
DOI: 10.1007/s11306-022-01923-6
发表时间: 2022-08-02
期刊: Metabolomics : Official journal of the Metabolomic Society
影响因子: --
作者: []
通讯作者:
Imaging of fast-moving single cells with adaptive single pixel detection
  • 批准号:
    BB/X004082/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $20.62万
  • 财政年份:
    2023
  • 负责人:
    Zoltan Takats
  • 依托单位:
Building research capacity with high-throughput Ultra-performance liquid chromatography high resolution Q-TOF
  • 批准号:
    MR/X013537/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $85.8万
  • 财政年份:
    2022
  • 负责人:
    Zoltan Takats
  • 依托单位:
Molecularly aware robotics for surgery (MARS)
  • 批准号:
    EP/W004798/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $38.52万
  • 财政年份:
    2021
  • 负责人:
    Zoltan Takats
  • 依托单位:
Development of a rapid bacterial identification method based on direct mass spectrometric metabolic profiling
  • 批准号:
    BB/L020858/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $61.91万
  • 财政年份:
    2014
  • 负责人:
    Zoltan Takats
  • 依托单位:
海外基金