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Investigating the Causal Effect of Brain Expression of CCL2, NFKB1, MAPK14, TNFRSF1A, CXCL10 Genes on Multiple Sclerosis:A Two-Sample Mendelian Randomization Approach
- Source :
- Fazia, T, Nova, A, Gentilini, D, Beecham, A, Piras, M, Saddi, V, Ticca, A, Bitti, P, McCauley, J L, Berzuini, C & Bernardinelli, L 2020, ' Investigating the Causal Effect of Brain Expression of CCL2, NFKB1, MAPK14, TNFRSF1A, CXCL10 Genes on Multiple Sclerosis : A Two-Sample Mendelian Randomization Approach ', Frontiers in Bioengineering and Biotechnology, pp. 1-16 . https://doi.org/10.3389/fbioe.2020.00397, Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
- Publication Year :
- 2020
-
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.
- Subjects :
- 0301 basic medicine
Candidate gene
Multiple Sclerosis
Histology
lcsh:Biotechnology
Biomedical Engineering
family data
Hippocampus
Bioengineering
02 engineering and technology
Biology
White matter
03 medical and health sciences
lcsh:TP248.13-248.65
Mendelian randomization
medicine
NF-κB signaling pathway
Medulla
Temporal cortex
Putamen
Multiple sclerosis
021001 nanoscience & nanotechnology
medicine.disease
030104 developmental biology
medicine.anatomical_structure
gene expression
0210 nano-technology
Neuroscience
Biotechnology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Fazia, T, Nova, A, Gentilini, D, Beecham, A, Piras, M, Saddi, V, Ticca, A, Bitti, P, McCauley, J L, Berzuini, C & Bernardinelli, L 2020, ' Investigating the Causal Effect of Brain Expression of CCL2, NFKB1, MAPK14, TNFRSF1A, CXCL10 Genes on Multiple Sclerosis : A Two-Sample Mendelian Randomization Approach ', Frontiers in Bioengineering and Biotechnology, pp. 1-16 . https://doi.org/10.3389/fbioe.2020.00397, Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
- Accession number :
- edsair.doi.dedup.....b50402b2a0e1c8c00c351241d2112897