Percorrer por autor "Kararigas, Georgios"
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- European network on optimizing treatment with therapeutic antibodies in Chronic Inflammatory Diseases: Overview, progress and perspectivesPublication . Tachkov, Konstantin; Rumano, Merita; Bluett, James; Bogavac-Stanojević, Nataša; Dreesen, Erwin; Itik, Mehmet; Kararigas, Georgios; Kawalec, Paweł; Santos, Marlene; Skrede, Silje; Petrova, Guenka; Mulleman, Denis; Santos, MarleneTreatment of chronic inflammatory diseases has been revolutionized with the introduction of targeted therapies using therapeutic antibodies. However, a large proportion of patients do not respond to treatment, or they lose response over time. To overcome this challenge, researchers have started to investigate strategies for treatment optimization, based on the development of patient stratification tools and therapeutic drug monitoring (TDM). The aim of the COST Action European Network on Optimizing Treatment with Therapeutic Antibodies in chronic inflammatory diseases (ENOTTA) is to create an interdisciplinary, pan-European network to defragment and structure scientific research in this field. Through the network, ENOTTA will facilitate the implementation of tools for patient stratification, as well as individualized (TDM-guided) approaches. These strategies should be cost-effective and provide therapeutic antibody treatment optimization for the treatment of chronic inflammatory diseases. This article highlights the key achievements of the ENOTTA consortium to date.
- Modelling the impact of NETosis during the initial stage of systemic Lupus erythematosusPublication . Suvandjieva, Vladimira; Tsacheva, Ivanka; Santos, Marlene; Kararigas, Georgios; Rashkov, PeterThe development of autoimmune diseases often takes years before clinical symptoms become detectable. We propose a mathematical model for the immune response during the initial stage of Systemic Lupus Erythematosus which models the process of aberrant apoptosis and activation of macrophages and neutrophils. NETosis is a type of cell death characterised by the release of neutrophil extracellular traps, or NETs, containing material from the neutrophil’s nucleus, in response to a pathogenic stimulus. This process is hypothesised to contribute to the development of autoimmunogenicity in SLE. The aim of this work is to study how NETosis contributes to the establishment of persistent autoantigen production by analysing the steady states and the asymptotic dynamics of the model by numerical experiment.