Abstract

Multiple Sclerosis (MS) exhibits considerable heterogeneity in phenotypic expression, course, prognosis and response to therapy. This suggests this disease involves multiple, as yet poorly understood, causal mechanisms. In this work we assessed the possible causal link between gene expression level of five selected genes related to the pro-inflammatory NF-κB signaling pathway (i.e., CCL2, NFKB1, MAPK14, TNFRSF1A, CXCL10) in ten different brain tissues (i.e., cerebellum, frontal cortex, hippocampus, medulla, occipital cortex, putamen, substantia nigra, thalamus, temporal cortex and intralobular white matter) and MS. We adopted a two-stage Mendelian Randomization (MR) approach for the estimation of the causal effects of interest, based on summary-level data from 20 multiplex Sardinian families and data provided by the United Kingdom Brain Expression Consortium (UKBEC). Through Radial-MR and Cochrane’s Q statistics we identified and removed genetic variants which are most likely to be invalid instruments. To estimate the total causal effect, univariable MR was carried out separately for each gene and brain region. We used Inverse-Variance Weighted estimator (IVW) as main analysis and MR-Egger Regression estimator (MR-ER) and Weighted Median Estimator (WME) as sensitivity analysis. As these genes belong to the same pathway and thus they can be closely related, we also estimated their direct causal effects by applying IVW and MR-ER within a multivariable MR (MVMR) approach using set of genetic instruments specific and common (composite) to each multiple exposures represented by the expression of the candidate genes. Univariate MR analysis showed a significant positive total causal effect for CCL2 and NFKB1 respectively in medulla and cerebellum. MVMR showed a direct positive causal effect for NFKB1 and TNFRSF1A, and a direct negative causal effect for CCL2 in cerebellum; while in medulla we observed a direct positive causal effect for CCL2. Since in general we observed a different magnitude for the gene specific causal effect we hypothesize that in cerebellum and medulla the effect of each gene expression is direct but also mediated by the others. These results confirm the importance of the involvement of NF-κB signaling pathway in brain tissue for the development of the disease and improve our understanding in the pathogenesis of MS.

Highlights

  • Multiple Sclerosis (MS) is a multifactorial disease with progressive neurodegeneration characterized by chronic inflammation and demyelination in the Central Nervous System (CNS) (Nylander and Hafler, 2012).Many molecular events contribute to MS susceptibility and all these events are widely distributed across the many different cellular components of both the innate and adaptive immune system

  • In the last column the InverseVariance Weighted estimator (IVW) estimate and its 95% confidence intervals obtained via bootstrap are reported

  • This study has shown that these loci exert their effect

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Summary

Introduction

Multiple Sclerosis (MS) is a multifactorial disease with progressive neurodegeneration characterized by chronic inflammation and demyelination in the Central Nervous System (CNS) (Nylander and Hafler, 2012).Many molecular events contribute to MS susceptibility and all these events are widely distributed across the many different cellular components of both the innate and adaptive immune system. Research on genetic susceptibility to MS has been fueled by recent genome-wide association studies (GWASs), fine-mapping and meta-analysis (Hafler et al, 2007; International Multiple Sclerosis Genetics, 2011; International Multiple Sclerosis Genetics Consortium, 2019; Patsopoulos et al, 2011, 2013; International Multiple Sclerosis Genetics Consortium, Beecham et al, 2013; Andlauer et al, 2016; George et al, 2016). These studies have highlighted loci never previously implicated in MS, which represents an opportunity to generate novel insight into the biological pathways involved in the disease. Most of the GWAS-highlighted loci that appear to operate via gene expression regulation, rather than protein coding, spurred the researchers to perform expression quantitative trait loci (eQTL) analyses that highlighted genes whose expression in specific tissues is regulated by loci associated with the disease, showing the potential functional consequences of certain MS associated variant (Edwards et al, 2013; Gibson et al, 2015)

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