Project Details
Description
Context The 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 Objectives The 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 benefits There 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.
Status | Finished |
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Effective start/end date | 1/04/14 → 30/06/16 |
Collaborative partners
- University of Bath (lead)
- University of Exeter
- Newcastle University
- King's College London
- University of Dundee
- University of Oxford
- University of Glasgow
Funding
- MRC
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