KU Leuven
Department of Neurosciences, Laboratory for Neuroimmunology

Author Of 2 Presentations

Biomarkers and Bioinformatics Poster Presentation

P0027 - Are we ready for precision medicine in Multiple Sclerosis? A web-based survey across Europe   (ID 1411)

Presentation Number
P0027
Presentation Topic
Biomarkers and Bioinformatics

Abstract

Background

We designed a web-based survey to assess the willingness and interest of European neurologists working with MS to implement precision medicine in their routine clinical practice. This study is a part of the EU-funded MULTIPLEMS grant.

Objectives

1) To assess how neurologists across European countries view the role of body-fluid biomarkers in clinical practice; 2) To survey clinical practices of diagnostic work up, therapy selection and monitoring, and frequency of data collection and clinical and paraclinical measurements.

Methods

The survey had three parts: a) demographics of respondents; b) opinion of the role of predictive, diagnostic, disease-activity biomarkers and treatment-response body-fluid biomarkers in clinical practice; c) survey of clinical practice and management of MS cases (including therapy choice and use of biomarkers) by evaluating 5 clinical cases with different characteristics (therapeutic management in drug naive patients and in patients displaying different forms of remaining disease activity, as well as stopping threapy in stable diasease since long).

Results

194 neurologists across 11 European countries responded to the survey, with a mean response rate of 45%. 57.7% were male and the mean age was 49.8 years. The importance of biomarkers in clinical practice was rated from 1 (low) to 7 (high), and it was generally high: 4.1 for predictive and disease-activity biomarkers, 5.2 for treatment-response and 5.7 for diagnostic biomarkers, with neurologists in Belgium, Denmark, Spain, Sweden and UK being the most positive. Determination of cerebrospinal fluid (CSF) oligoclonal bands was considered the most established biomarker for diagnosis (98.5% of neurologists), prediction (56.7%) and disease activity (36.5%), trailed by anti-aquaporin 4 (90.7%) and anti-myelin oligodendrocyte antibodies (85.1%) for diagnosis. Anti-JC (93.8%) and varicella virus (61.9%) and anti-drug (natalizumab (74.7%) and interferon-beta (68.6%)) were considered useful in context of therapy selection and monitoring by most neurologists, while neurofilament levels in CSF and serum and vitamin D levels were less established. Therapeutic management in the five case examples varied widely, likely as a result of differences in local and national guidelines.

Conclusions

European MS neurologists express a positive opinion on the role of body-fluid biomarkers to manage MS in clinical practice, however, these seem still to have had a limited impact on therapeutic management and selection, which also varied markedly across countries. This underscores the need for further research in this area.

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Genetics and Epigenetics Poster Presentation

P0527 - Smoking and multiple sclerosis risk: A Mendelian randomization study (ID 572)

Speakers
Authors
Presentation Number
P0527
Presentation Topic
Genetics and Epigenetics

Abstract

Background

Striking changes in the demographic pattern of multiple sclerosis (MS) strongly indicate an influence of modifiable exposures, which lend themselves well to intervention. It is important to pinpoint which of the many environmental, lifestyle, and sociodemographic changes that have occurred over the past decades, such as higher smoking and obesity rates, are responsible. Mendelian randomization (MR) is an elegant tool to overcome limitations inherent to observational studies and leverage human genetics to inform prevention strategies in MS.

Objectives

To investigate the potential for a causal effect of smoking on multiple sclerosis susceptibility using a Mendelian randomization approach.

Methods

We use genetic variants from the largest genome-wide association study for smoking phenotypes (initiation: N = 378, heaviness: N = 55, lifetime smoking: N = 126) and body mass index (BMI, N = 656) and apply these as instrumental variables in a 2-sample MR analysis to the most recent meta-analysis for MS. We adjust for the genetic correlation between smoking and BMI in a multivariable MR.

Results

In univariable and multivariable MR, smoking does not have an effect on MS risk nor explains part of the association between BMI and MS risk. In contrast, in both analyses each standard deviation increase in BMI, corresponding to roughly 5 kg/m2 units, confers a 30% increase in MS risk.

Conclusions

Despite observational studies repeatedly reporting an association between smoking and increased risk for MS, MR analyses on smoking phenotypes and MS risk could not confirm a causal relationship. This is in contrast with BMI, where observational studies and MR agree on a causal contribution. The reasons for the discrepancy between observational studies and our MR study concerning smoking and MS require further investigation.

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