Periodic Reporting for period 4 - SYSCID (A Systems medicine approach to chronic inflammatory disease)
Okres sprawozdawczy: 2021-07-01 do 2022-09-30
SYSCID has focused on several unmet clinical needs in CIDs:
• A clear diagnosis of disease: Current diagnostic methods are not sufficient to accurately predict early disease manifestation. Time from first symptoms to diagnosis of CID even in Western Europe still suffers from a diagnostic delay of 12-24 months. Diagnostic algorithms employing multimodal marker sets for early and unequivocal detection of disease are thus a major unmet need in CID.
• Disease progression and comorbidities: Early identification of patients with aggressive disease behavior or prediction of complications are decisive elements for a future individualized clinical treatment. First results have demonstrated that an exhaustion signature of specific immune cells may predict complicated disease behavior across several CID.
• Therapy Response: Several different targeted therapies neutralizing specific factors of the immune system have been approved. Such therapies are cost-intensive and suffer from significant primary and secondary non-response rates. So far on the individual patient level, a molecular rationale (biomarker) for employing a specific compound in an indication situation is missing. SYSCID followed different layers of molecular information in individual patients over time in order to develop systems-based decision support to select the right therapy at the right time.
• Clinical trajectories with high heterogeneity and activation of signal transduction pathways of CIDs have been observed in COVID-19. Immunosuppresive therapies put CID patients at risk for a more severe disease course. In response to the pandemic situation researchers in SYSCID have contributed to molecular knowledge generation around COVID-19 as a potentially devastating disease.
The consortium has employed a variety of patient sample types derived from peripheral blood: whole blood and sorted blood immune cell types to single cell analysis. The project also comprised experimental strategies to develop epigenome editing therapies to reprogram specific cell types e.g. macrophage polarization defects.
Main cohorts comprised (1) a cohort for assessing markers of disease severity and outcome across CID (CAU: 1022 patients and 303 controls) and (2) response to targeted therapies (anti-TNF, anti-integrin, Anti-Blys) with >220 newly treated patients (CAU) with up to 8 timepoints for longitudinal multi-Omics analysis. (3) An important reference data set was generated for RNA-analysis from whole blood, which employed longitudinally sampled healthy controls and followed them over the course of a year with several sampling time points ( >1000 samples analyzed). (4) A smaller cohort (n=23) in IBD focused on longitudinal dynamics of immune cells in the peripheral blood and used high-resolution single cell RNA sequencing. (5) Finally, we used the tools and algorithms developed in SYSCID to analyze larger cohorts of COVID-19 patients. Here, we were among the first consortia world-wide to deliver scRNAseq-based markers for a severe disease course.
Using the harmonized production pipeline, molecular analysis on most cohorts described above (cross-sectional and longitudinal therapy response cohorts, validation cohorts from Greece, Switzerland, UK and Belgium) has been finalized and data has been made available to the community using appropriate data use and access regulations. While some of these analyses still await publication, SYSCID in numerous visible and highly cited scientific publications which can be found here: https://syscid.eu/publications/
Apart from scientific publications, the consortium has actively presented its aims and results on international conferences, organized a final symposium and summer school on system medicine in CID and was active in discussing results and implications with stakeholders. SYSCID partners serve as a use case in the EU systems medicine initiative “STANDS4PM” for harmonizing data sets and predictive pharmacodynamic models and were actively participating in the European LIFETIME initiative for propagating cell-based personalized medicine (Rajewsky and Lifetime, Nature 2021).