GENIUS II

2018

The GENIUS II (Generating Evidence-Based Pharmaceutical Targets and Drugs for Atherosclerosis) consortium is dedicated to studying atherosclerosis, the primary pathological condition underlying cardiovascular diseases. The consortium aims to translate identified druggable targets for atherosclerosis intervention into clinical applications. Gender specificity is a key consideration in all our studies. Our consortium's talent program is structured to provide young researchers with insights into the opportunities and challenges of cardiovascular drug development.

The Research
GENIUS II research integrates knowledge of dyslipidemia and associated immune responses. Our work is organized into distinct work packages that correspond to the logical steps in drug development. Each selected target from GENIUS I is strategically incorporated into this framework. Our investigations encompass in vitro and in vivo analyses to understand mechanisms, druggability, and effects on atherosclerosis.

In addition to building upon GENIUS I drug targets and leads, we leverage recent innovative advancements to identify new druggable targets within male and female atherosclerotic lesions, as well as in circulating cells. State-of-the-art molecular biology techniques, including single cell sequencing and immunophenotyping, are actively employed to dissect immunometabolic processes within atherosclerotic plaques and patients. These studies will enable us to monitor the presence of drug targets at disease sites, expediting drug design and potentially identifying gender-specific biomarkers to aid disease progression monitoring and diagnosis.

Subsequent studies involve testing the efficacy of small molecules, monoclonal antibodies, and siRNA against pre-selected targets from GENIUS I. We have identified small molecules and monoclonal antibodies for five targets, which will undergo toxicity and proof-of-pharmacology studies to progress towards drug development for cardiovascular patients. We have also identified three drugs affecting primary targets from GENIUS I and are assessing their potential to reduce atherosclerotic parameters in First-In-Human clinical trials.

Origin
This consortium was funded through the Impulse Grant program by the Dutch Heart Foundation. The GENIUS II consortium builds on the most promising targets identified in the GENIUS I consortium, with the goal of advancing these targets towards clinical application.

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PERFECT-FIT

2020
Smoking tobacco and physical inactivity are key preventable risk factors of cardiovascular disease (CVD). Perfect Fit aims to prevent CVD, promote well-being, and reduce healthcare costs, particularly targeting disadvantaged populations where smoking and physical inactivity are prevalent. The Research The project develops tailored, evidence-based, near real-time computer coaching for quitting smoking and enhancing PA. For every individual, a personal model is designed which generates personalized recommendations based on high-quality existing and newly collected data, and adapts to changing circumstances/progress (similar to a TomTom navigation system), using machine learning techniques and incorporating domain-specific expert knowledge (e.g. health behaviour change strategies). Virtual coaches (VCs) communicate advice in a motivating way that fits individuals’ persuasive communication styles. Perfect Fit integrates big-data science, sensor technology, and personalized real-time feedback to support smoking cessation and promote adequate physical activity (in both gym settings and daily life). The key questions of this study are: Which adaptivity is needed to create a robust, safe, and effective interaction between individuals and machines? How can we develop advanced data science methods and embed this in current smoking cessation and PA coaching practice? How do measurement modalities, feedback and communication affect individuals’ smoking status and PA? Origin This project was funded within the Big Data & Health Program. The focus of this public-private research program is the use of big data for the early detection and prevention of cardiovascular diseases. The program has been developed by NWO, ZonMw, the Dutch Heart Foundation, the Top Sectors Life Sciences & Health (LSH), ICT and Creative Industry, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center. Within this research program, the ambitions of the Dutch Heart Foundation, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center were aligned with the ambitions of Commit2Data for the Top Sectors ICT, LSH, and Creative Industry, as described in the 2018-2019 Kennis- en Innovatiecontracts between NWO and the Top Sectors.
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MyDigiTwin

2020
Cardiovascular disease (CVD) is the leading global cause of mortality and morbidity, with ischemic heart disease (IHD) representing approximately half of all CVD-related deaths. Precise, personalized risk assessment and treatment recommendations are crucial for addressing the diverse population at risk of CVD. Current standard approaches rely on algorithms that incorporate a limited set of traditional risk factors to estimate CVD and IHD risk. However, significant cardiovascular events often occur in individuals categorized as low risk, underscoring the need for ongoing research to enhance preventive strategies. The Focus The MyDigiTwin initiative aims to provide individuals with personalized insights into their cardiac health, enabling proactive monitoring and management of cardiovascular conditions. This integrated digital health platform empowers individuals to take control of their cardiac health by offering accessible, data-driven insights and tools. The Research MyDigiTwin is a pioneering research initiative focused on revolutionizing cardiac health management by integrating advanced AI technologies with extensive patient data. The development of MyDigiTwin involves harnessing large-scale longitudinal datasets from over 500,000 patients, combined with sophisticated AI algorithms. This approach enables the platform to analyze diverse health parameters and generate tailored recommendations for users based on their unique health profiles. By leveraging AI and comprehensive patient data, MyDigiTwin represents an innovative approach to preventive and personalized healthcare, facilitating early detection and intervention for cardiovascular conditions. Origin This project was funded within the Big Data & Health Program. The focus of this public-private research program is the use of big data for the early detection and prevention of cardiovascular diseases. The program has been developed by NWO, ZonMw, the Dutch Heart Foundation, the Top Sectors Life Sciences & Health (LSH), ICT and Creative Industry, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center. Within this research program, the ambitions of the Dutch Heart Foundation, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center were aligned with the ambitions of Commit2Data for the Top Sectors ICT, LSH, and Creative Industry, as described in the 2018-2019 Kennis- en Innovatiecontracts between NWO and the Top Sectors.
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