Multiple manifestations of genetic and non-genetic factors in Multiple Sclerosis disentangled with a multi-omics approach to accelerate personalised medicine

Projektinformationen

MultipleMS

ID Finanzhilfevereinbarung: 733161

DOI

10.3030/733161

Projekt abgeschlossen

EK-Unterschriftsdatum 12 Dezember 2016

Startdatum 1 Januar 2017

Enddatum 30 Juni 2023

Finanziert unter

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Gesamtkosten

€ 15 041 259,25

EU-Beitrag

€ 14 721 453,00

Koordiniert durch

KAROLINSKA INSTITUTET
Sweden

Periodic Reporting for period 5 - MultipleMS (Multiple manifestations of genetic and non-genetic factors in Multiple Sclerosis disentangled with a multi-omics approach to accelerate personalised medicine)

Berichtszeitraum: 2022-07-01 bis 2023-06-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

Multiple Sclerosis (MS) is an immune-mediated disease and a leading cause of non-traumatic disability in young adults in Europe, affecting ~2.3 million persons worldwide. It is a lifelong disease that strikes individuals, predominantly women, in their most productive years with an unpredictable and progressive disability that affects all areas of life and includes physical disability, cognitive impairment and fatigue. The complex interactions between genetic and non-genetic factors produce heterogeneities in patients as reflected in the diversity of pathophysiology, clinical manifestations, response to therapies, disease development and progression. MS cannot be cured but there are several available disease modifying treatments (DMTs) that can reduce disease activity in RRMS patients. However, the majority of RRMS patients eventually convert to a secondary progressive form of MS (SPMS) for which there is no approved treatment today.

The overall annual cost for MS is estimated to be € 15.5 billion in Europe including direct medical costs (pharmaceutical and non-pharmaceutical), direct non-medical costs (such as informal care, devices and adaptations), and finally indirect costs (such as productivity losses due to sick leave, incapacity to work and early retirement). The cost of MS increases with increasing disability reaching an annual cost of € 60.000 for patients who have reached progressive stage of disease, with the largest part being indirect costs. Hence, MS is one of the most expensive chronic diseases even compared to many diseases with higher prevalence.

The aim of MultipleMS is to develop novel personalised medicine approaches for MS patients. To this end we will identify a combination of evidence-based selection of clinical, biological, and lifestyle features that can predict the clinical course, stratify patients based on their risk and the therapeutic response to the existing DMTs in a real-world setting, and to gain in-depth knowledge of distinct pathogenic pathways to allow identification of targets for novel treatments.

The overall objectives of MultipleMS are:
• To stratify MS patients according to differential disease etiology, disease severity and progression, and DMT response.
• To identify and validate novel biomarkers to guide stratification of patients according to disease etiology, disease severity and progression and DMT response.
• To identify targets and interventions for new precise therapies.
• To develop guidelines for a new precision medicine using biomarker guided DMT placement and monitoring in clinical settings.
• To exploit and disseminate resulting biomarkers, guidelines and therapeutic targets.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

The handling of data in the whole conosrtium, including data and material transfer agreements has been established to be fully GDPR compliant.

Two database solutions have been established for both exiting retrospective and new prospective cohort data, with secured authentication system. Partners have supplied clinical and genetic data from retrospective cohort. For genetic, clinical phenotypes. MRI and life style data harmonization and quality control is completed. Analysis identifying heterogeneity based on MS risk variants and lifestyle exposures have been completed. Cell-specific pathway analysis have been performed and individual scores have been computed. Analyses methods have been developed and implemented by several MultipleMS partners. Plasma neurofilament has been determined for a large number of MS cases and we have published its use as a prognostic marker of response to treatment and disability progression.
Significant method developments both regarding laboratory procedures, especially with regard to novel classes of biomarkers as well as immunophenotyping, and data analyses have been performed. Genetic associations to EDSS based severity scores been performed and is published in Nature. The top hit has also been asocciated with brain atrophy in MS cases; published in Annals of Neurology. Genetic analyses for cerebrospinal fluid biomarkers, plasma neurofilament, MRI metrics, response to treatment and time to progression have been performed. The genetic associations have been used to cluster MS patients and clusters characterized. Predictive model for severity of MS have been developed. Development of open tools for patient stratification has been developed.

The prospective study is running at all clinical centers in 8 EU countries. Baseline recruitment is completed with 510 patients included. Follow-up visits has been completed at 12 months (93%), 24 months (89%) and is ongoing for 36, 48 and 60 months. Biosamples have been collected at all timepoints. Samples have been genotyped. Immunophenotyping, RNA seq and methylation profiling has been performed on baseline and 12 month samples. Neurofilament light and glial fibrillary acidic protein levels is being analysed in longitudinal serum samples.

A systematic reviews of published MS guidelines regarding use of biomarkers in clinical practice has been published. A survey has been distributed to MS neurologists across Europe to understand differences and similarities of clinical practice across Europe, results have been presented at international conference. Several other reviews of MS biomarkers are being prepared.

We have established communication and dissemination channels, e.g. an official MultipleMS website, Facebook-page and Twitter account, which are available to all MultipleMS members and open for the public. A Stakeholder Forum was developed of relevant stakeholders, such as pharmaceutical companies, (clinical) research associations, governmental bodies, non-governmental organisations, patient organisations and health professionals. Stakeholders are informed about the project’s development. Four stakeholder meetings have been held, in London May 2018, In Berlin October 2018, online January 2021 and in Amsterdam October 2022. A PhD/Postdoc student challenge, supported by Novartis, was organized in Copenhagen 2017. Each attendee presented their vision on how to best involve and reach patients in the development and implementation of project results.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

To create strategic global synergies, MultipleMS includes 22 partners and covers not only the necessary clinical, biological, and computational expertise, but also includes six industry partners ensuring dissemination and exploitation of the methods and clinical decision support system. Moreover, the pharmaceutical industry partners provide expertise to ensure optimal selection and validation of clinically relevant biomarkers and new targets. Our conceptual personalized approach can readily be adapted to other immune-mediated diseases with a complex gene- lifestyle background and broad clinical spectrum with heterogeneity in treatment response. MultipleMS therefore has a potential implication on European policies, healthcare systems, innovation in translating big data and basic research into evidence-based personalized clinical applications.

The project has already resulted in several new collaborations including EU-STANDS4PM and IMSGC and initiated collaborations with other consortia active in the MS field such as MAGNIMS. The project have also resulted in securing new funding in the WISDOM project from Horizon Europe which includes continued followup in the prospective cohort and further work on building validating and implementing predictive models of MS and MS severity.

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