ArmCoach4Stroke

In preceding decades, conventional therapies have notably enhanced the survival rates of heart failure (HF) patients. However, a subset of individuals, particularly younger patients afflicted with dilated cardiomyopathy (DCM) or arrhythmogenic cardiomyopathy (ACM), still confront disease progression despite these treatments. This underscores the necessity for innovative approaches. The ARENA-PRIME initiative aims to address this gap by focusing on the development of novel gene therapies tailored to the specific disease mechanisms underlying DCM, attributed to mutations in the RBM20 and LMNA genes, as well as ACM, and associated with mutations in the DSGL2 and PKP2 genes. The goal is to progress towards first-in-human clinical trials, particularly focusing on LMNA disease, and to establish preclinical proof-of-concept for ACM therapies targeting DSGL2 and PKP2. The Research The ARENA-PRIME researchers utilize insights from previous programmes on cardiac gene therapies (e.g., inhibitory RNAs such as allele-specific short hairpin RNAs, antimiRs, etc.) and gene editing technologies (e.g., base- and prime editing) to develop novel treatments for dilated cardiomyopathy (DCM) and arrhythmogenic cardiomyopathy (ACM). This effort is supplemented by advanced research on adeno-associated viral vectors and the integration of heart tissue collections with cutting-edge sequencing technologies (like single-cell sequencing) to further explore disease mechanisms. At the beginning of the ARENA-PRIME programme, a (end-) user committee has been established, making sure that (end-)users are  closely involved in the design of the studies and the implementation of the co-created studies and deliverables. This committee meets annually alongside the program's research meetings to provide guidance to investigators on optimizing the program's outcomes for (end-) users. It addresses all feedback, inquiries, and recommendations, whether requested or spontaneous. This committee meets once per year in conjunction with the programme’s research meetings and advises the investigators about the course of the programme and what actions need to be taken in order to maximise the probability that the (end-) users will be able to utilize and/or benefit from the results. This committee addresses any comments, remarks, questions and advice they may have, solicited or otherwise. The members of the ARENA-PRIME user committee include cardiomyopathy patients and their relatives, clinicians (e.g. cardiologists), representatives from related research programs (e.g., RegMedXB, H2020-TRAIN-HEART), and industry stakeholders including biotech and pharma company representatives and venture capitalists. Supporting Young Investigators The programme prioritizes attracting and nurturing young talent, providing hands-on training and fellowship awards to facilitate their career development. Over 20 young investigators participate, benefiting from exposure to collaborative research environments. To further support this career development, five fellowship awards of 50.000€ have been granted the past three years to junior postdoctoral researchers in the laboratories of the Hubrecht Institute, University Medical Center Utrecht, Amsterdam UMC (location VUmc and AMC) and Maastricht University. Origin The former CVON-ARENA programme (2012-2017) advanced understanding of cardiac RNA species in heart failure (microRNAs, lncRNAs and circular RNAs). The CVON-ARENA programme (2012-2017) advanced understanding of cardiac RNA species, such as microRNAs, lncRNAs, and circular RNAs, in various forms of heart failure (HF). This subsequent ARENA-PRIME programme (2018-2023), funded by the Dutch Heart Foundation, targets treatment-resistant HF forms, particularly in younger patients with dilated cardiomyopathy (DCM) or arrhythmogenic cardiomyopathy (ACM). In 2023 ARIME-PRIME received a matching grant from the Dutch Heart Foundation to work on their research together with a private partners, so that they can achieve their ambitions and objectives more quickly.

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.