课题基金 / 基金详情

MRC APBI STratification and Extreme Response Mechanism IN Diabetes - MASTERMIND

MRC APBI STratification and Extreme Response Mechanism IN Diabetes - MASTERMIND
MRC APBI 糖尿病的分层和极端反应机制 - MASTERMIND
批准号:
MR/K005707/1
负责人:
Andrew Hattersley
金额:
$348.32万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

项目摘要

项目成果

Andrew Hattersley的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
ContextThe present clinical guidelines for the treatment of type 2 diabetes propose that treatment given to patients is primarily determined by the cost of the therapy and assumes that all patients respond similarly to treatment. This ignores the fact that for many therapies there is enormous variation in response between individuals with type 2 diabetes. If it was possible to understand the reasons why patients responded differently to therapy then it would be possible to choose the therapy most likely to be effective for an individual patient thus maximising the benefit and minimising the risk of a particular treatment.Aims and ObjectivesThe aim of this research is to develop a scientific framework which will be used to develop the stratification of treatment in Type 2 Diabetes; that is individualising treatment for a patient or subgroups of patients with the aim of giving the right drug to the right patient at the right time. In Strand 1, the main aim is to define the biological mechanisms involved in patients' extreme response to second and third line treatment in type 2 diabetes. The objectives are to define exactly why some patients respond very differently to the same drug. We will define the clinical characteristics which relate to whether patients are more or less likely to respond to a drug, including whether the patients who do not respond are just those that do not take their tablets. We will also define those characteristics related to rapid deterioration of the blood glucose. We will determine whether if a person does not respond to one type of drug they are likely to not respond to other drugs or whether that person simply does not respond to all diabetes treatment. We will determine how consistent someone's response is by asking patients to stop their drug treatment briefly; someone who is a consistent good responder to the drug will have a rapid in rise in blood sugar when the drug treatment is stopped. Finally, we will set up a resource to enable future genetic and non genetic markers of drug response to be developed. In Strand 2 we will develop critical information that is required before an approach using stratification can come into clinical practice. We will develop a model which allows us to predict a patient's likely response to a particular therapy. We will then work out in theory when it would be both effective and cost effective to use treatment stratification in type 2 diabetes. Potential applications and benefitsThere are enormous potential benefits to giving drugs to patients who are likely to respond to them and not to patients who are unlikely to respond. This would have considerable benefits in improving the patient's blood sugar control and hence reducing their risk of complications, cutting down on the number of tablets that they need to take (hence saving money on unnecessary therapy) and reducing the risk of side effects to therapies that were ineffective. For the pharmaceutical industry it would enable targeted drug development for patients where other therapy was ineffective and also to define patient subgroups that were most likely to benefit from new drug development. In addition this new understanding about why patients responded very well to drugs already developed would aid in the future modification of therapy to give improved patient outcome.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1111/dom.13346
发表时间: 2018-09
期刊: Diabetes, obesity & metabolism
影响因子: --
作者: [Curtis HJ, Dennis JM, Shields BM, Walker AJ, Bacon S, Hattersley AT, Jones AG, Goldacre B]
通讯作者: Goldacre B
DOI: 10.2337/dc17-1827
发表时间: 2018-04
期刊: Diabetes care
影响因子: 16.2
作者: [Dennis JM, Shields BM, Hill AV, Knight BA, McDonald TJ, Rodgers LR, Weedon MN, Henley WE, Sattar N, Holman RR, Pearson ER, Hattersley AT, Jones AG, MASTERMIND Consortium]
通讯作者: MASTERMIND Consortium
Clusters provide a better holistic view of type 2 diabetes than simple clinical features - Authors' reply.
与简单的临床特征相比,聚类可以更好地全面了解 2 型糖尿病 - 作者的回复。
DOI: 10.1016/s2213-8587(19)30250-5
发表时间: 2019
期刊: The lancet. Diabetes & endocrinology
影响因子: --
作者: [Dennis JM]
通讯作者: Dennis JM
Crossover studies can help the individualisation of care in type 2 diabetes: the MASTERMIND approach
交叉研究有助于 2 型糖尿病的个体化护理:MASTERMIND 方法
DOI: 10.1002/pdi.2015
发表时间: 2016
期刊: Practical Diabetes
影响因子: 0.6
作者: [Angwin C]
通讯作者: Angwin C
6
    Developing a decision support tool to enable precision treatment of type 2 diabetes
    • 批准号:
      MR/W003988/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $125.86万
    • 财政年份:
      2022
    • 负责人:
      Andrew Hattersley
    • 依托单位:
    MICA: MRC APBI STratification and Extreme Response Mechanism IN Diabetes - MASTERMIND
    • 批准号:
      MR/N00633X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $434.04万
    • 财政年份:
      2015
    • 负责人:
      Andrew Hattersley
    • 依托单位:
    海外基金