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Individualizing statin therapy by using a systems pharmacology decision support algorithm

Objective

Background: Statins are essential drugs in the treatment of hypercholesterolaemia and are among the most prescribed drugs worldwide. The response to statin therapy varies widely between individuals. While most patients show good efficacy, a significant proportion of individuals show poor or even a lack of cholesterol-lowering efficacy. Moreover, a number of patients experience adverse drug reactions. These together with the lack of immediate effect on well-being likely explain the relatively poor adherence to statin therapy. Poor adherence to statins in turn increases the incidence of cardiovascular events and mortality.
Aims: The objectives of this project are 1) to develop a systems pharmacology model for predicting statin efficacy and tolerability at the level of an individual patient and 2) to investigate whether selecting the statin based on the model improves treatment adherence.
Methods: A systems pharmacology approach will be used to integrate data from in vitro and clinical studies. Semi-physiological pharmacokinetic-dynamic-toxicologic models will be built for each statin allowing the prediction of the pharmacokinetic and clinical outcomes for patients with different characteristics, genotypes, and concomitant medications. The ability of the systems pharmacology algorithm to enhance adherence will be investigated in a randomized clinical trial.
Significance: Systems pharmacology models have been increasingly applied in drug development, for example to predict the effect of organ dysfunction on pharmacokinetics. The proposed project is the first to use systems pharmacology predictions to guide clinical drug therapy, thus going beyond the state of the art. If successful, the project will not only improve the prevention and treatment of cardiovascular disease, but it will open new horizons to individualizing drug therapies.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-COG - Consolidator Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2016-COG

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Host institution

HELSINGIN YLIOPISTO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 211 564,75
Address
FABIANINKATU 33
00014 HELSINGIN YLIOPISTO
Finland

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 211 564,75

Beneficiaries (1)

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