• ENDOTARGET will help to further develop and to implement personalised medicine in health care.

  • ENDOTARGET identifies biomarkers, which are used to assess the risk of health-to-disease transition in rheumatic diseases.

  • ENDOTARGET will contribute to the development of new effective drugs and adjuvants for rheumatic disease treatment.

  • The project will catalyse the exchange of knowledge, as well as the development and adoption of best practices guidelines for rheumatic disease treatment and prevention.

  • The project explores the relationship between gut microbiota, intestinal permeability, and systemic endotoxemia to understand the triggering factors for health-to-disease transition in rheumatic diseases.

  • The project will create a machine learning (ML) and artificial intelligence (AI)-informed rheumatic disease prediction tool (RDPT) for clinicians to help them identifying patients with increased risk of developing rheumatic diseases.

  • The ENDOTARGET consortium will empower citizens and patients to manage better their own physical health and well-being by testing a new evidence-based model (Clinical Culinary) linking nutrition knowledge and application of dietary strategies to health promotion and reduction of disease activity of rheumatic diseases.

WHAT’S NEW IN THE PROJECT?

The EU has awarded a 7 Mio € funding to a HUS Helsinki University Hospital led consortium to study the significance of gut microbiota as a driver of chronic systemic inflammation and the role of microbiota in the pathogenesis of rheumatic diseases. Additional 1.8 Mio € has been granted by the Swiss State Secretariat for Education, Research and Innovation (SERI).

ENDOTARGET explores the relationship between gut microbiota, gut permeability, and systemic endotoxemia with a special focus on the three most abundant rheumatic diseases (RDs): osteoarthritis, rheumatoid arthritis and spondylarthritis. The aim is to clarify (1) the role of the three factors gut microbiota, gut permeability and systemic endotoxemia in RD onset and pathogenesis, (2) which events and mechanisms are responsible for the origin of RDs, and (3) the influence of the gut microbiota on the joints. Based on the gained knowledge, e.g. new biomarkers for risk assessment will be identified and a Rheumatic disease risk prediction tool (RDPT) will be developed to support clinicians in the classification of patients and to treat RDs preventively. This tool will help to reduce the risk of RD onset and/or to reduce disease activity.

Key numbers

Numbers Partners / Countries / Cohorts / Years / Budget

14

PROJECT PARTNERS

08

COUNTRIES

12

COHORTS

48

MONTHS

8.8

MILLION*

*EU + SERI

Partners

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