Summary
Rheumatoid Arthritis (RA) is a prototypic T cell- and B cell-driven inflammatory autoimmune disease that affects around 1% of the population worldwide and creates a severe burden for patients as well as substantial socioeconomic costs for society. Hallmarks of RA are a destructive inflammation of peripheral joints as well as the presence of autoantibodies such as anti-citrullinated protein antibodies (ACPA). Although ACPA are considered to represent major drivers of RA pathology, they can be also found in otherwise healthy “individuals at risk” where they emerge decades before the eventual onset of RA. Factors and mechanisms that promote onset of tissue inflammation in such autoantibody-positive individuals still remain elusive. Due to this gap of knowledge, current therapies are primarily designed to suppress later stages of joint inflammation, rather than targeting the underlying processes of autoimmunity or the initial onset of inflammatory disease. RA patients thus still lack effective preventive or curative therapeutic concepts. Here we aim to exploit recent technical breakthroughs such as single-cell RNA- and ATAC-sequencing in conjunction with DNA bar-coded MHC dextramers and antigens, spatial transcriptomics and cutting-edge imaging to perform a comprehensive and in-depth spatiotemporal analysis of the molecular events underlying the initial onset of inflammatory disease in autoantibody-positive individuals. We will additionally profit from the access to a large and well-characterized cohort of ACPA-positive “individuals at risk” and ACPA-positive RA patients as well as from corresponding biomaterial. In combination with preclinical animal models of RA, we thereby seek to delineate the sequences of events that promote the early transition from autoimmunity to inflammation. The obtained data will yield key insights into basic mechanisms of inflammatory autoimmune diseases such as RA and provide the basis for novel treatment concepts.
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Web resources: | https://cordis.europa.eu/project/id/101001866 |
Start date: | 01-07-2021 |
End date: | 31-12-2026 |
Total budget - Public funding: | 2 000 000,00 Euro - 2 000 000,00 Euro |
Cordis data
Original description
Rheumatoid Arthritis (RA) is a prototypic T cell- and B cell-driven inflammatory autoimmune disease that affects around 1% of the population worldwide and creates a severe burden for patients as well as substantial socioeconomic costs for society. Hallmarks of RA are a destructive inflammation of peripheral joints as well as the presence of autoantibodies such as anti-citrullinated protein antibodies (ACPA). Although ACPA are considered to represent major drivers of RA pathology, they can be also found in otherwise healthy “individuals at risk” where they emerge decades before the eventual onset of RA. Factors and mechanisms that promote onset of tissue inflammation in such autoantibody-positive individuals still remain elusive. Due to this gap of knowledge, current therapies are primarily designed to suppress later stages of joint inflammation, rather than targeting the underlying processes of autoimmunity or the initial onset of inflammatory disease. RA patients thus still lack effective preventive or curative therapeutic concepts. Here we aim to exploit recent technical breakthroughs such as single-cell RNA- and ATAC-sequencing in conjunction with DNA bar-coded MHC dextramers and antigens, spatial transcriptomics and cutting-edge imaging to perform a comprehensive and in-depth spatiotemporal analysis of the molecular events underlying the initial onset of inflammatory disease in autoantibody-positive individuals. We will additionally profit from the access to a large and well-characterized cohort of ACPA-positive “individuals at risk” and ACPA-positive RA patients as well as from corresponding biomaterial. In combination with preclinical animal models of RA, we thereby seek to delineate the sequences of events that promote the early transition from autoimmunity to inflammation. The obtained data will yield key insights into basic mechanisms of inflammatory autoimmune diseases such as RA and provide the basis for novel treatment concepts.Status
SIGNEDCall topic
ERC-2020-COGUpdate Date
27-04-2024
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