AtheroNeth

2025

Atherosclerotic cardiovascular disease (ASCVD) is the main cause of mortality in Europe. During the last decades, successful strategies have been developed to treat ASCVD targeting traditional and novel risk factors leading to an unprecedented arsenal to reduce the cardiovascular disease burden. Unfortunately, current strategies are all aimed at adding novel therapeutic agents on top of the standard therapeutic moieties, adopting the one-size-fits-all dogma. This strategy has major limitations including unaddressed heterogeneity of patients, ignoring patients’ side-effects, lack of response to therapy and decreased compliance. With ATHERONETH, we aim to bring forward stratification tools that help to improve the prediction of the actual cardiovascular risk of individual patients, and in particular the pathophysiological mechanisms the contribute to this risk in the individual patient. This will allow clinicians to better tailor their therapeutic regimens.

The Research

Our main objective is to identify biological parameters that can be utilized to better stratify patients with atherosclerotic cardiovascular disease for improved and personalized prevention and treatment. Utilization can be reached by finding circulating biomarkers or imaging characteristics that reflect plaque phenotypes, underlying pathophysiology, and ASCVD incidence.

By combining frontline knowledge, clinical data resources and multimodal technologies, the consortium members will execute the following workplan.

1 - In ATHERONETH we will fine-tune the local phenotypic diversity of human plaques on a multi-omics level and define plaque types that associate with biology and clinical events. These plaque types will be associated with systemic read-outs (biomarkers).

2 - We will define systemic inflammatory and lipid metabolism related determinants of heterogeneity in plaque phenotype and ASCVD.

3 - We will utilise existing data from (large) cohorts to determine (epi)genetic, lipidomic/proteomic, and microbiome-related biomarkers of ASCVD and build algorithms that define subgroups of patients.

4 -We will study imaging parameters of plaque characteristics and inflammation that point to differential disease progression and potential treatment benefit.

The Origin

AtheroNeth leverages scientific power that was generated over the past decade by (inter)national research consortia. This consortium resulted from the DCVA exploration on atherosclerosis. Our vision for the future is to achieve a reduction in ASCVD-associated morbidity and mortality, an improvement in the quality of life for patients, and a reduction of the associated healthcare burden and costs.

Our program has a strong match with the challenges as reported in the “Nationale Hart en Vaat agenda” (National Cardiovascular Agenda) of the Dutch Heart Foundation. It is evident that the current proposal addresses the challenges “Oog voor verschillen” (Eye for differences) and “Behandel op maat” (Tailored treatment).

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Collaborators

Funded

Contact person:

Netherlands Heart Institute

Principal investigators

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IMPRESS

2021
In the past decade, there has been significant progress in understanding sex- and gender-based differences in cardiovascular diseases (CVD). However, this knowledge remains scattered across medical literature, highlighting the need for a centralized platform accessible to healthcare professionals, scientists, policymakers, and patients. The IMPRESS consortium aims to establish a knowledge platform focused on gathering, summarizing, and prioritizing existing knowledge related to sex- and gender-specific aspects of CVD. This initiative seeks to promote the implementation of existing knowledge into clinical practice, identify knowledge gaps, and inform policymakers about areas requiring additional attention. In substantial portions of women with symptoms of myocardial ischemia, obstructive disease in the epicardial coronary arteries is absent. Currently, such women undergo multiple diagnostic tests, which do not always result in a conclusive diagnosis. IMPRESS seeks to reduce missed and delayed diagnoses of heart diseases in women, improving cardiovascular care outcomes nationwide. The knowledge platform will serve as a national resource, fostering collaboration and supporting the adoption of sex- and gender-sensitive practices in cardiovascular medicine. The Research IMPRESS consolidates existing knowledge, fosters research, and implements findings into practice wherever possible (for example by creating a Decision Support Tool for primary care and for cardiologists). Within the IMPRESS consortium, the following studies are being conducted: Delphi study: delayed or missed diagnosis of heart disease Silent heart attacks: causes, symptoms, and risk factors of silent myocardial infarctions UMCU-IMPRESS pilot study: undetected coronary microvascular disease (CMD) Peripheral-Flow: LASCA technique in CMD Dutch registry of coronary function tests   The origin In the past decade, the understanding of sex- and gender differences in CVD has considerably improved. However, relevant evidence is scattered throughout the medical literature. There is a need to make this information easily accessible to health care professionals, scientists, policy makers and patients. Implementation of existing knowledge in clinical practice will then be promoted, knowledge gaps identified, and policy makers informed on the areas that need additional attention. This is also of high importance to the Dutch Heart Foundation, which therefore funded the IMPRESS consortium; a collaboration between several DCVA partners; the Nederlandse Vereniging voor Cardiologie (NVVC), WCN, Netherlands Heart Institute (NLHI), ZonMw and the Dutch Heart Foundation, supported by the DCVA.  
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STRAP

2020
The STRAP consortium aims to reduce the burden of heart disease by early detecting heart disease deterioration, benefiting patients, healthcare workers, and society. This initiative responds to acute needs observed in cardiology clinics, combined with the increasing availability of health tracking technologies. The project focuses on developing a new, AI-powered solution using cost-effective technology to maximize impact on healthcare costs. The Research STRAP is dedicated to developing a comprehensive data collection platform integrating off-the-shelf and cutting-edge self-tracking technologies. This platform empowers patients to measure vital signs at home, eliminating the need for frequent clinic visits and enabling longitudinal data collection on daily activities and emotions. The platform enhances self-tracking adherence through gamification strategies. The project involves developing and evaluating novel diagnostic and prognostic methods through two trials with target groups where notable improvements are achievable and highly impactful: Trial for Elderly Heart Patients: reducing re-hospitalization among elderly heart patients to minimize health deterioration and healthcare costs. Trial at Cardiac Outpatient Clinics: lower costs and enhance the quality of heart disease diagnosis for individuals attending cardiac outpatient clinics. The foundation of the trials is twofold. Establishing a Robust Dataset: creating an interconnected dataset to evaluate digitalized techniques' performance in relation to health records. This dataset incorporates electrocardiography data, stethoscope audio recordings, wrist-worn device activity levels, electronic nose sensor data, and self-reported information via IoT technologies, including parameters like water consumption, sleep patterns, real-time feelings, physiological responses, and overall patient well-being. Employing this diverse dataset, STRAP develops innovative analysis and early diagnosis methods to advance heart disease detection and monitoring. Through these efforts, STRAP aims to implement advanced technologies and data-driven approaches to significantly impact heart disease management. 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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